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Erschienen in: Molecular Cancer 1/2022

Open Access 01.12.2022 | Review

Liquid biopsy at the frontier of detection, prognosis and progression monitoring in colorectal cancer

verfasst von: Hui Zhou, Liyong Zhu, Jun Song, Guohui Wang, Pengzhou Li, Weizheng Li, Ping Luo, Xulong Sun, Jin Wu, Yunze Liu, Shaihong Zhu, Yi Zhang

Erschienen in: Molecular Cancer | Ausgabe 1/2022

Abstract

Colorectal cancer (CRC) is one of the most common cancers worldwide and a leading cause of carcinogenic death. To date, surgical resection is regarded as the gold standard by the operator for clinical decisions. Because conventional tissue biopsy is invasive and only a small sample can sometimes be obtained, it is unable to represent the heterogeneity of tumor or dynamically monitor tumor progression. Therefore, there is an urgent need to find a new minimally invasive or noninvasive diagnostic strategy to detect CRC at an early stage and monitor CRC recurrence. Over the past years, a new diagnostic concept called “liquid biopsy” has gained much attention. Liquid biopsy is noninvasive, allowing repeated analysis and real-time monitoring of tumor recurrence, metastasis or therapeutic responses. With the advanced development of new molecular techniques in CRC, circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), exosomes, and tumor-educated platelet (TEP) detection have achieved interesting and inspiring results as the most prominent liquid biopsy markers. In this review, we focused on some clinical applications of CTCs, ctDNA, exosomes and TEPs and discuss promising future applications to solve unmet clinical needs in CRC patients.
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Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12943-022-01556-2.
Hui Zhou, Liyong Zhu and Jun Song contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CRC
colorectal cancer
CTCs
circulating tumor cells
ctDNA
circulating tumor DNA
TEPs
tumor-educated platelets
CTECs
circulating tumor-derived endothelial cells
CSF
cerebrospinal fluid
cfDNA
circulating free DNA
WES
whole exome sequencing
WGS
whole genome sequencing
NCCN
National Comprehensive Cancer Network
EVs
extracellular vesicles
MKs
megakaryocytes
MRD
minimal residual disease
OS
overall survival
PFS
progression free survival
CRLM
colorectal cancer liver metastases
CTMs
circulating tumor microemboli
ICB
immune checkpoint blockers
MSI
microsatellite instability
TMB
tumor mutation burden
CTLA-4
Cytotoxic T-lymphocyte protein 4
PD-1
programmed cell death protein 1
PD-L1
programmed cell death protein ligand 1
ICIs
immune checkpoint inhibitors
dMMR
mismatch repair deficient
EpCAM
epithelial cell adhesion molecule
FCM
flow cytometry
FDA
Food and Drug Administration
EMT
epithelial to mesenchymal transition
ISET
isolation by size of epithelial tumor cells
EPISPOT
enzyme-linked immunosorbent spot assay
FISH
fluorescence-assisted in situ hybridization
FAST
fiber-optic array scanning technology
ACT
adjuvant chemotherapy
SEPT9
septin 9
NGS
Next generation sequencing
dPCR
digital PCR
ARMS
allele-specific amplification refractory mutation system PCR
AS-PCR
allele-specific PCR
ddPCR
droplet digital PCR
BEAMing
bead emulsification amplification and magnetics
TAm-Seq
tagged-amplicon deep sequencing
Safe-SeqS
Safe-Sequencing System
CAPP-Seq
personalized profiling by deep sequencing
SNV VAFs
Somatic single nucleotide variant allele frequencies
CNAs
copy number aberrations
TME
tumor microenvironment
HOTAIR
HOX transcript antisense RNAs
CCAT
colon cancer-associated transcripts
MALAT-1
metastasis-associated lung adenocarcinoma transcript 1
HULC
hepatocellular carcinoma upregulated lncRNA
HOTTIP
HOXA transcript at the distal tip
NNT-AS1
nucleotide transhydrogenase antisense RNA 1
CCAL
colorectal cancer associated lncRNA
HuR
human antigen R
circFMN2
circumformin 2
DC
differential centrifugation
UC
ultracentrifugation
DG UC
density gradient ultracentrifugation
SEC
Size-exclusion Chromatography
HFD
hydrostatic filtration dialysis
PEG
polyethylene glycol
DEP
dielectrophoretic
DLD
deterministic lateral displacement
SEM
scanning electron microscopy
TEM
transmission electron microscopy
AFM
atomic force microscopy
ELISA
enzyme-linked immunosorbent assay
DLS
dynamic light scattering
NTA
nanoparticle tracking analysis
WB
western blot
SPR
surface plasmon resonance
TCGA
the Cancer Genome Atlas
PF4
platelet factor 4
TCIPA
tumor cell induced platelet aggregation
NSCLC
non-small cell lung cancer
HCC
hepatocellular carcinoma
CECs
circulating endothelial cells
EPCs
endothelial progenitor cells
SE-iFISH
Subtraction enrichment-immunofluorescence in situ hybridization
PLR
platelet-to-lymphocyte ratio
NLR
neutrophil-lymphocyte ratio
ECM
extracellular matrix
NIH
National Laboratory of Medicine

Background

Colorectal cancer (CRC) is the second mainspring of cancer and cancer-related mortality globally [1]. The incidence and fatality rate are increasing consecutively year by year, seriously endangering people’s health. Current therapeutic approaches for CRC include endoscopic and surgical resection, systemic adjuvant chemotherapy, radiation therapy, targeted therapy and immunotherapy [1, 2]. Chemoresistance and tumor heterogeneity are the main reasons for tumor recurrence. Due to the poor response of many patients to current treatment strategies and because CRC survival is highly dependent upon early diagnosis and early treatment, a reliable biomarker that can predict the therapeutic response as early as possible is urgently needed. To date, tissue biopsy remains the gold standard for tumor identification. However, a major problem is that it is difficult to monitor disease progression through repeated biopsies due to repeated injury and poor patient compliance. Moreover, a single biopsy is usually not representative of a patient’s heterogeneity and cannot reflect the ever-changing complete cancer gene expression profile, and it is limited by the site of tissue removal, poor sensitivity and accuracy, and high procedural costs. Indeed, there is a critical need to find a minimally invasive method to screen the high-risk population and detect CRC presence in asymptomatic patients at an earlier stage and curable stage.
Owing to its invasive nature, routine biopsy cannot always be done routinely. Even though a single biopsy can catch a limited snapshot of the tumor, it always fails to reflect its temporal heterogeneity. This dilemma has opened a new diagnostic avenue: liquid biopsy. A liquid biopsy collects samples of biological fluids such as blood, saliva, pleural fluid, ascites, stool, urine, and cerebrospinal fluid (CSF) for different analyses [3]. Liquid biopsy is a new technology to detect tumor-related molecular markers in specimens by analyzing CTCs, ctDNA, circulating free (cf) DNA or RNA, exosomes, TEPs, circulating tumor-derived endothelial cells (CTECs) and protein molecules. The possible sources of liquid biopsy are illustrated in Fig. 1. With the rapid development of cell separation technology and gene detection technology, the core position of liquid biopsy in tumor precision medicine has been increasingly highlighted. Compared with tissue biopsy, liquid biopsy technology can better overcome tumor heterogeneity and facilitate repeated detection. It can also conduct comprehensive real-time monitoring at the molecular level to understand the tumor load and genetic changes of patients in the whole process of the disease, which is also conducive to the selection and adjustment of follow-up treatment plans and has broad clinical application prospects. Although proteomics, exosome, and miRNA research are still in its infant stage, their clinical application is limited. However, ctDNA and CTCs in peripheral blood have certain clinical value in the early prognosis of patients, monitoring recurrence, evaluating efficacy, and guiding precise treatment. Ongoing clinical trials are evaluating the use of liquid biopsy to guide therapeutic strategies in CRC patients and will ultimately shed light on whether liquid biopsy can be an effective tool for predicting the prognosis of CRC patients (Table S1).
In this review, how liquid biopsy opens a new avenue for CRC in detection, prognosis and progression monitoring was the focus. In addition to the epigenetic mechanisms involved in CRC, the concept and clinical applications of liquid biopsy were described. Additionally, a review of the methodologies used to detect these epigenetic changes in liquid biopsy was provided, as well as a description of the clinical utility of epigenetic markers in liquid biopsy for the diagnosis of CRC patients. The current limitations and speculated future directions of liquid biopsy in CRC biology was also discussed.

Main text

History of liquid biopsy

The term “liquid biopsy” was originally introduced by Pantel and Alix-Panabieres to define the markers in the blood to reflect specific information about the tumor more than 10 years ago [4]. As a means to identify tumor-related changes in body fluids, CTCs, ctDNA, exosomes, and TEPs have been studied over the past few decades.

Circulating tumor cells

CTCs are rare cancer cells that have been shed into the vasculature from a primary or metastatic tumor and circulate in the peripheral blood [5]. Thomas Ashworth first discovered CTCs in the presence of plasma in a metastatic cancer patient in 1869, which paved the way for liquid biopsy [6]. CTCs, however, have been known for quite a while but little research has been conducted on them. Research conducted by Massimo Cristofanilli et al. in 2004 confirmed that CTCs are an independent prognostic factor in metastatic breast cancer [7]. Surprisingly, CTCs were found in early tumors until 2010. This suggests that CTC counts can be used in the early diagnosis of tumors [8]. Then, 2 years later, the CTC classification was used to guide precise treatment of breast cancer [9]. Generally, the low number of CTCs in the blood limits its development. However, CTC-whole exome sequencing (WES) and whole genome sequencing (WGS) overturn this limitation by highlighting the heterogeneity of cancer [10, 11].

Circulating free DNA

While cfDNA is mostly derived from normal healthy leukocytes and stromal cells, in cancer patients, cfDNA can also incorporate tumor-derived DNA, referred to as ctDNA. Floating DNA fragments from plasma were first detected as early as 1948 by Mandel and Metais [12]. Unfortunately, for a long time, this groundbreaking effort received little attention. In 1977, Leon et al. observed that the plasma free DNA level was significantly higher in tumor patients, particularly in advanced tumor patients, than in healthy individuals. As a result, it is speculated that free DNA may be strongly tied to malignancies [13]. However, it was not until 1989 that Stroun reported that some cfDNA in tumor patients was derived from tumor cells. As a result, research on cfDNA has progressed slowly in the past due to the lack of sensitive and specific experimental methods. In 1994, KRAS and NRAS mutation genes were identified in blood cfDNA from patients with pancreatic carcinoma and myelodysplastic syndrome or acute myelogenous leukemia, which may provide the basis for the diagnosis of tumors [14]. Then, methylation-specific PCR was used by M Esteller to search for promoter hypermethylation of tumor-related genes in 22 patients suffering from non-small-cell lung cancer in 1999. All tumor stages exhibited abnormal promoter methylation in serum DNA, suggesting that it may be useful to detect a recurrence of cancer or to monitor it for recurrence [15]. Despite extensive research, such studies have yet to be validated in clinical practice. Until 2005, the assessment of ctDNA mutations was offered for the first time to the clinic. Following 3 years, Diehl F et al. tracked the ctDNA of 18 patients with colorectal cancer and detected some hotspot mutation genes, such as APC, KRAS, TP53, and PIK3CA, and found that the ctDNA mutation rate changed with the treatment process [16]. The European Union’s EMA first approved the clinical validation of ctDNA to detect EGFR mutations in carcinoma in 2014, signalling the first time that ctDNA has been used in clinical practice. Liquid biopsy was endorsed in the National Comprehensive Cancer Network (NCCN) guidelines in 2016. With the progress of detection technology, ctDNA measurements will be extensively implemented in new therapies to appropriately monitor tumor burden dynamics and investigate acquired resistance to cancer treatments.

Exosomes

In general, extracellular vesicles (EVs) can be broadly classified into three categories: exosomes, micro-vesicles and apoptotic bodies [17]. Exosomes are EVs with a diameter of approximately 30–150 nm. They can be secreted into the body fluid by all living cells, including tumor and normal cells. Exosomes were first discovered by EG Trams in sheep reticulocytes in 1981 and named by Johnstone 6 years later [18]. G. Raposo discovered a kind of B cell-derived exosome that can directly participate in the antitumor response of CD4+ cells in 1996 [19]. T Two years later, L. Zitvogel et al. confirmed that DCs can also release exosomes, augmenting the T cell-dependent antitumor effect [20]. Since then, the study of exosomes has opened a new era. With the advancement of exosome research, it was recognized that they play an important role in antigen presentation, cell differentiation, growth, tumor immune response, tumor cell migration and invasion [21]. However, despite their many benefits, exosomes have certain limitations in clinical use, such as limited targeting efficiency and being quickly delivered by the immune system. Therefore, more research on exosomes should be conducted to remove the stumbling block of clinical applications.

TEPs

Blood platelets, the second most prevalent cell type in peripheral blood, originate from megakaryocytes (MKs), which are recognized for their function in coagulation of blood and wound healing [22, 23]. Platelets can be regarded as “scanning soldiers” when immunological and inflammatory activity are associated with disease, such as tumor progression [24]. The relationship involving platelets and tumor growth and cancer progression has also been gradually discovered. Since Trousseau first shared the phenomenon that spontaneous coagulation is common in cancerous patients in 1865, activation of the clotting cascade via host-tumor interactions has been discovered in practically all different types of cancer [25]. Then, in 1906, Wright identified platelets separated from circulating megakaryocytes in cancer patients [26]. According to Nilsson et al. in 2010, platelets from cancer patients can pick up secreted RNA-containing membrane vesicles originating from human cancer cells [27]. Best et al. investigated the potential for TEP-based pan-cancer, multiclass cancer, and companion diagnostics by evaluating the platelet mRNA profiles of various cancer patients and healthy donors in 2015 [28]. Additionally, platelets have also been recognized as an effective participant in systemic and local responses to tumor growth and metastasis. TEPs are being used to bring platelets into contact with malignant cells. Considered together, CTCs, ctDNA, exosomes, and TEPs are prospective biomarkers for cancer diagnosis, screening, and therapy monitoring, and their practical translation would be contingent on the development of adequate isolation technologies. To summarize the evolution of liquid biopsy, it has been slow in the past (Fig. 2). However, with the rapid advancement of technology, liquid biopsy is poised to enter a new era.

Circulating tumor cells in CRC

CTCs are cancer cells that gain access to the circulatory system and can provide cancer-related information at the DNA, RNA and protein levels, which is recognized as the fundamental reason for deadly metastatic disease in CRC and other solid tumors [29]. It seems that CTC testing has the potential to be used as a real-time “liquid biopsy” in cancer patients, which can reflect tumor detection, therapy monitoring, prognostication and individual precision therapy. However, a 1 ml blood sample often contains an extremely low concentration of CTCs, although there may be thousands of CTCs in the blood of a patient with a tumor. In addition, CTCs are highly heterogeneous, cancer-specific markers are lacking, and cell detection, enrichment and isolation remain to be further analysed. An ideal screening tool should have the advantages of reproducibility and high efficiency, as well as high sensitivity and specificity. Although technical challenges for CTC assays in CRC remain, they have begun to enter clinical trials as predictive and response biomarkers and minimal residual disease (MRD) monitoring tools (Fig. 3A).

CTC: detection, prognosis and progression monitoring in CRC

Early detection of CRC is critical given that patients with early-stage cancers have a better than 90% survival rate. Tsai et al. demonstrated for the first time that CTCs might be used for early cancer detection. In a prospective study, CTC detection based on the Cellmax platform showed a sensitivity of 86.9%, specificity of 97.3%, and AUC of 0.88 in CRC patients [30]. However, CTC detection is uncommon and challenging in early-stage CRC (TNM stage I–II); hence, their utility in CRC early diagnosis remains limited. Bork et al. detected that the CTC counts in early-stage CRC were as low as 9% [31]. Meanwhile, Sebastian Hinz et al. revealed that they used Ficoll extraction of mononuclear cells followed by CK20 RT–PCR to detect CTCs, with a detection rate of 30% [32]. In other investigations, CTCs were detected in almost 45% of CRC patients (TNM stage I–IV) [33, 34]. Different detection methods may have different detection rates; nevertheless, standardized methods and novel techniques will enhance CTC detection in early malignancies [35]. Much attention should be devoted to improving technical assays to accelerate the rate of CTC detection in the future. To date, CTCs have been deemed a potential noninvasive diagnostic and prognostic marker for metastatic CRC (mCRC) in multiple studies. A meta-analysis published in 2013 demonstrated that overall survival (OS) and progression-free survival (PFS) were worse in CTC-positive mCRC patients [36]. In another study, Ashton A et al. showed that CTC counts in hepatic venous > 3/7.5 mL of blood were associated with shorter DFS and OS than CTC counts in peripheral colorectal cancer liver metastasis patients (CRLM) [37]. In addition, Jia-Xing Zhao et al. also revealed that CTC detection in the initial reflux vein/portal vein blood is much more sensitive than in peripheral circulation in CRLM patients [38]. Furthermore, Fengjie Wu et al. classified CTCs into three subgroups based on the expression of EpCAM (E-CTCs), the mesenchymal cell marker vimentin (M-CTCs), or both EpCAM and vimentin (E/M-CTCs). Meanwhile, the proportions of E-CTCs, M-CTCs, E/M-CTCs and circulating tumor microemboli (CTMs) in 126 patients were 76.98, 42.06, 56.35 and 36.51%, respectively. They showed that tumor metastasis is more significantly associated with the presence of M-CTCs and CTMs than with other CTC subgroups [39]. Similarly, Yuchen Zhong et al. demonstrated that M-CTCs were correlated with tumor size, T stage, TNM stage, vascular invasion, and CEA, and M-CTCs > 1 were discovered to be associated with worse DFS [40]. According to a publication-based meta-analysis published in 2018 that included 15 published investigations with a total of 3129 patients, the presence of CTCs was highly correlated with poor survival (OS: HR = 2.36, 95% CI: 1.87–2.97; P = 0.006) and aggressive disease progression (PFS: HR = 1.83, 95% CI: 1.42–2.36; P < 0.00001). Furthermore, subgroup analyses demonstrated that CTC-positive patients also had poor OS and PFS [35]. In other words, whether CRC is early or advanced, the existence of more CTCs suggests a worse prognosis.
In the past decade, with the progression of technology and a better understanding of immune regulatory mechanisms, immune checkpoint blockers (ICBs), as potential therapeutic strategies for antitumor therapy in various cancers, have quickly evolved. Several candidate tumor-based predictive biomarkers have emerged in the treatment of IC. Microsatellite instability (MSI) and tumor mutation burden (TMB) have shown predictive value for IC inhibition [41, 42]. In regard to IC, two such immune checkpoints, cytotoxic T-lymphocyte protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1), have garnered the most attention [43]. PD-1 combined with programmed cell death protein ligand 1 (PD-L1) can inhibit T cell activation and cause the immune escape of tumor cells. The expression of PD-L1 is the gold-standard biomarker for treatment selection in the field of immunotherapy. Additionally, anti-PD-1 or PD-L1 therapy has been shown to offer a good OS in several cancers [4446]. In CRC, current immune checkpoint inhibitors (ICIs) are effective in heavily tumor mutations that are mismatch repair deficient (dMMR) or have high levels of microsatellite instability (MSI-H) [41]. However, PD-L1 biopsy may not represent the entire tumor, leading to sampling bias and abandonment of immunotherapy. Therefore, liquid biopsy might be a better way to overcome this dilemma. The evaluation of PD-L1 expression on CTCs has been assessed in CRC [47]. Recently, a study performed by Lucrezia Raimondi et al. demonstrated the expression of PD-L1 on CTCs of chemorefractory mCRC patients. In this study, they showed the usefulness of CTCs as a noninvasive real-time biopsy to evaluate PD-L1 expression in patients diagnosed with mCRC and treated with regorafenib [48]. Additionally, Arun Satelli et al. showed that CTC detection alone was not associated with poor PFS or OS in CRC, but nuclear PD-L1 expression in these patients was significantly associated with short survival durations [47].

CTCs: methodology and technical challenges

Since the original discovery of CTCs, multiple isolation strategies have been developed. However, due to a low concentration of CTCs in the bloodstream (approximately 1–100 cells per mL of blood) and the short half-life of CTCs in the circulation (1–2.5 h) [49], as well as the lack of cancer-specific markers, their detection remains difficult, weakening their value as a diagnostic tool [50]. Considering this dilemma, a number of platforms have been designed for detecting CTCs in blood samples. Enrichment, detection, and analysis are the three analytical procedures involved in this process. The techniques of capturing CTCs include biophysical enrichment and positive and negative immunoaffinity strategies. Diverse strategies have been introduced to enrich or extract CTCs from the blood circulation based on their physical features (size, elasticity, density and surface charge), biological properties, and expression of distinct tumor markers [51]. Racila et al. applied an antibody directed against epithelial cell adhesion molecule (EpCAM) coupled to ferrofluids and flow cytometry (FCM) to detect CTCs based on immunomagnetic CTC enrichment [52]. The CellSearch instrument, which is a widely used gold standard today, has been authorized by the Food and Drug Administration (FDA) for CTC detection in CRC. However, the EpCAM bias imposed on the enriched CTC population is a notable shortcoming of immunocapture approaches, including CellSearch [53]. Cells that have undergone epithelial to mesenchymal transition (EMT) may downregulate the epithelial marker EpCAM, making immunocapture approaches ineffective and perhaps leading to false-negative results. For this reason, AdnaTest, isolation by size of epithelial tumor cells (ISET), enzyme-linked immunosorbent spot assay (EPISPOT), fluorescence-assisted in situ hybridization (FISH), fibre-optic array scanning technology (FAST), density gradient, microfiltration, microflow, and size-dictated immunocapture chip [54] are other technologies used for CTC enrichment, detection and separation. In addition, the CTC-Chip and CTC Cluster Chip are examples of successful isolation technology combinations in the last decade. The use of microfluidic rare-cell capture technology on a larger scale in cancer patients holds much potential for uncovering significant biological characteristics of blood-borne metastases and providing a robust platform for early cancer detection and monitoring [55, 56]. Furthermore, nanotechnologies have been developed and advanced to enhance the sensitivity and specificity for the detection of CTCs. Wenzhe Li et al. reviewed the applications of nanotechnology-based liquid biopsy, bringing a fresh perspective to the clinical practice of tumor surveillance and therapy [57]. Not only can xenotransplantation into mice be used to enrich the number of CTCs in a cell culture, but it can also be utilized to facilitate further investigation [58]. To summarize, multiple ways to capture CTCs are likely to be necessary, which will facilitate future cancer research and need to be validated.

Circulating tumor DNA in CRC 

ctDNA: detection, prognosis and progression monitoring in CRC

cfDNA is an emerging potential biomarker for guiding precision therapy in CRC [59, 60]. In general, cfDNA analysis is used to discover point mutations or structural variants, copy-number aberrations, microsatellite alterations, differential cfDNA length, and methylation status [61]. ctDNA arises from somatic tumor DNA fragments released into the blood circulation during cell death and has been found to contain tumor-specific molecular characteristics [62]. In a recent prospective, multicenter cohort study, plasma ctDNA was analyzed in patients with stage I to III CRC. ctDNA was detectable in 108 of 122 patients (88.5%). Furthermore, they found that ctDNA-positive patients were 7 times more likely to relapse than ctDNA-negative patients at postoperative Day 30. Similarly, ctDNA-positive patients may relapse after adjuvant chemotherapy (ACT). After regular therapy, ctDNA-positive patients were more than 40 times more likely to suffer cancer relapse during surveillance than ctDNA-negative patients (HR, 43.5; 95% CI, 9.8–193.5 P < 0.001). It is believed that ctDNA may be useful for risk classification, ACT surveillance, and early recurrence detection in CRC [63]. The results of this article are consistent with many previous studies [6467]. Distant metastasis is one of the reasons for the poor prognosis of CRC. Relatively high levels of ctDNA in plasma in CRLM patients are known [68]. A single-center retrospective study was performed to investigate the impact of ctDNA on the OS of patients who underwent initial hepatectomy for resectable CRLM. In this study, they found that patients who underwent ctDNA detection before surgery had a high recurrence rate [68]. Furthermore, in another study, it was found that detectable postoperative ctDNA in resected CRLM patients had a significantly lower RFS (HR 6.3; 95% CI 2.58 to 15.2; P < 0.001) and OS (HR 4.2; 95% CI 1.5 to 11.8; P < 0.001) than patients with undetectable ctDNA [69]. More recently, peritoneal fluid was used to detect ctDNA for CRC peritoneal metastases (CRC-PM), and the findings suggest that ctDNA detection in peritoneal fluid may be prior to ctDNA in plasma to monitor CRC-PM [70]. Blood contains ctDNA, which can also be detected in other biological fluids, such as urine. Yu, H. et al. indicated that both plasma and urine cfDNA levels were higher in mCRC patients than in healthy individuals, which can be used to monitor disease progression in CRC patients [71].
The cfDNA methylation profile enables early diagnosis, prognosis prediction, and screening for CRC [72]. The cfDNA methylation profile enables early diagnosis, prognosis prediction, and screening for CRC [7378]. Xianrui and colleagues discovered a novel cfDNA methylation model based on 11 methylation biomarkers to improve the detection of early-stage CRC patients in their investigation [79]. In another study, 159/267 (87%) mCRC patients showed positivity for methylated markers (e.g., EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSCs) by ddPCR assays, suggesting that methylation can be used as a monitoring marker of tumor burden under different therapeutic regimens [80]. Furthermore, the promoter hypermethylation of septin 9 (SEPT9) in cfDNA has been confirmed as a potent biomarker in CRC, and the Epi proColon 2.0 kit for cell-free circulating methylated SEPT9 detection approval by the FDA as the first blood-based CRC screening test [8183].
Almost all advanced CRC patients need further treatment after surgery, such as systemic chemotherapy, molecular targeted therapies or immunotherapies [84, 85]. In a multicenter cohort study of 96 patients with stage III colon cancer, ctDNA was detected in 15 of 88 (17%) post-chemotherapy samples. When ctDNA was detectable after chemotherapy, the estimated 3-year recurrence-free interval was 30%, compared to 77% when ctDNA was undetectable (HR, 6.8; 95% CI, 11.0–157.0; P < 0.001). This indicates that monitoring post-chemotherapy ctDNA can reveal information on minimal residual disease, therapeutic response, and recurrence in patients despite completion of standard adjuvant treatment [64]. In line with the aforementioned, a trial within a cohort study (MEDOCC-CrEATE) [86] and CIRCULATE-Japan clinical trials [87], confirmed that ctDNA could be utilized as a predictor of tumor recurrence and to monitor the effectiveness of adjuvant chemotherapy. A comprehensive genome-wide analysis of somatic mutations in CRC was conducted by the Cancer Genome Atlas (TCGA) network. The most commonly altered genes were APC, TP53, KRAS, PIK3CA and BRAF in CRC. In recent years, with the rapid development of next-generation sequencing (NGS), the detection of somatic mutations has become feasible for clinical application. For instance, the somatic BRAF V600E mutation seems to have a short life expectancy and is a poor indicator of response to standard chemotherapy [88]. Activated RAS mutation is the main reason for primary or secondary resistance to anti-EGFR therapy and predicts poor survival outcomes among CRC patients [8992]. Although KRAS mutation status has been found in studies to be a biomarker for CRC response to EGFR-targeted therapy, however, a global phase III ASPECCT study detected RAS ctDNA mutations in panitumumab-treated mCRC patients, and emergent ctDNA RAS mutations were not associated with poor prognosis in panitumumab-treated patients [93]. A study carried out by E. I. Dumbrava et al. found that patients with high variant allele frequencies of PIK3CA-mutant ctDNA at baseline were associated with shorter OS [94].
In addition to CTCs, cfDNA or ctDNA, as the most important source in liquid biopsies, they have been implemented in the field of immune-oncology [95]. ctDNA detection is quantitative. Interestingly, the change in ctDNA levels during chemotherapy is related to tumor response or progression in several tumor types [9698]. In a prospective pilot study performed by L. Cabel et al., which included NSCLC, CRC and melanoma, the PFS and OS of patients with detectable ctDNA after anti-PD-1 ICI treatment were significantly shorter than those without ctDNA detected. It provides a theoretical basis for evaluating ctDNA prior to treatment initiation [99]. In a nonrandomized, HLA-A status double-blinded study performed by Masahiro Kitahara et al., they assessed cfDNA levels in plasma by semiquantitative real-time PCR, which were collected from 93 mCRC patients (HLA-A2402 matched, n = 49; and HLA-unmatched, n = 44) prior to receiving immunochemotherapy. The PFS of patients with low cfDNA was significantly better than that of patients with high cfDNA (P = 0.0027). Interestingly, in the HLA-A2402-matched group, patients with low plasma cfDNA had significantly better PFS, but there was no difference in the HLA-A2402-unmatched group. This suggests that cfDNA may be a useful predictive biomarker of the outcome of immunotherapy in metastatic colorectal cancer [100]. MSI is the first cancer indication approved for ICB [41]. A recent study showed that CRC with MSI-H detected by using cfDNA-based assays was correlated with a good response to immunotherapy [101]. In addition, Tieng FYF et al. reviewed liquid biopsy-based tests to evaluate MSI in CRC [102]. TMB from cfDNA is emerging as a novel biomarker for cancer immunotherapy in several tumors [103, 104]. Le DT et al. demonstrated that CRC patients with high TMB commonly respond to PD-1/PD-L1 blockade [41]. In conclusion, the detection of ctDNA can be used for the early diagnosis of cancer, monitoring response, evaluating potential drug resistance to the treatment and prognosis (Fig. 3B).
ctDNA: methodology and technical challenges
Normal and tumor cells both release cfDNA into the circulation, and ctDNA is the portion of cfDNA shed by cancer cells. The investigation of ctDNA can disclose details about a cancer’s biological profile and clinical progression. According to estimates, ctDNA usually accounts for 0.01–5% of total cfDNA in patients with cancer [105]. While ctDNA has a two-hour half-life, it is cleared quickly after entering the circulation. As a corollary, ctDNA can act as a useful dynamic marker of tumor bulk and reflect therapy responses. Several technologies have emerged to detect ctDNA in recent years, including ultrasensitive targeted PCR-based approaches and next-generation sequencing (NGS) methods. The former includes digital PCR (dPCR) [106], allele-specific amplification refractory mutation system PCR (ARMS) [107], allele-specific PCR (AS-PCR) [108], droplet digital PCR (ddPCR), bead emulsification amplification and magnetics (BEAMing) [16] to detect mutations in prespecified cancer-associated mutations. And the latter such as tagged-amplicon deep sequencing (TAm-Seq) [109], Safe-Sequencing System (Safe-SeqS) [110] and personalized profiling by deep sequencing (CAPP-Seq) [111], enables simultaneous detection of the genome and multiple rare mutations in ctDNA simultaneously without the requirement of primary tumor sequencing. And the untargeted techniques, such as WGS or WES, allow for the detection of novel, clinically significant genomic aberrations without need the information about primary tumor. In general, the advantage of PCR-based methods is cost-effective and rapid, and no specific bioinformatic skills are needed. However, the main disadvantage is that they can detect a limited number of prespecified mutations. Among the PCR-based approaches, ddPCR or BEAMing can detect extremely infrequent mutations with high sensitivity; nonetheless, the DNA region assessed must be restricted [112]. Although dPCR is the most commonly used method for detecting ctDNA, the use of NGS for ctDNA detection is becoming increasingly prominent. Somatic single nucleotide variant allele frequencies (SNV VAFs), copy number aberrations (CNAs), or DNA methylation patterns are used in NGS-based methodologies to estimate ctDNA levels in plasma [113, 114]. Hangyu Zhang et al. developed an NGS-based ctDNA assay and evaluated its sensitivity and specificity while using ddPCR as a control in cetuximab-treated CRC patients. In the study, NGS actually found more mutation information than ddPCR in disease progression patients [115]. In general, NGS methods can detect a large number of mutations and analyze multiple genomic targets and alterations, but they are restricted by poorer sensitivity, higher input sample volume, and expensive and time-consuming procedures [113, 116]. In a recent meta-analysis, they compared the diagnostic accuracy of digital PCR, ARMS and NGS for detecting KRAS mutations in the cfDNA of CRC patients, and next-generation sequencing had overall high accuracy [117]. In summary, to be fit for clinical application, the ideal ctDNA assay should take into account the appropriate testing sensitivity, target scope, maximum sample throughput, and total annual expenditures.

Exosomes in CRC

Exosome: detection, prognosis and progression monitoring in CRC

Exosomes are highly abundant in almost all body fluids, such as CSF, plasma, urine, amniotic fluid, and saliva [118]. Exosomes, as a means of intercellular communication, have the unique capacity to transport a diverse variety of cargo, including proteins, mRNA, miRNA, and lipid substances. There are various nucleic acids included in exosomes, such as miRNAs, lncRNAs, circRNAs, tRNAs, snRNAs and snoRNAs, which act as gene expression modulators and potential biomarkers [119121]. In addition, exosomal proteins are generally related to membrane transport, which includes endosome-associated proteins (e.g., Rab proteins, annexins, flotillins, tumor susceptibility gene 101 protein), tetraspanins (e.g., CD9, CD63, CD81), heat shock proteins (HSP60 and HSP90) and EpCAM [122]. Compared with other types of EVs, exosomes are more promising as biomarkers and therapeutic targets because they are relatively abundant and stable in circulating entities and can transport genetic information and other biological materials. The nucleic acids and proteins found in CRC-derived exosomes are listed in Table 1. To date, there are some ongoing clinical trials of cancer immunotherapy based on exosomes for diagnostic, prognostic, predictive purposes in CRC (Table S1). In the subsequent sections, we will discuss the potential roles of exosomes as biomarkers in CRC and propose an outlook for the future direction of research in such fields (Fig. 3C).
Table 1
Biological functions of exosomal nucleic acids and proteins in CRC
Exosomal
Origin
Tendency
Downstream Target
Function
Reference
miR-125a-3p,
miR-320c
plasma
up
NA
Early diagnostic biomarker
[123]
miR-17-92a,
miR-19a
serum
up
NA
Early diagnostic biomarker
[124]]
miR-27a,
miR-130a
plasma
up
NA
Early diagnostic biomarker
prognostic biomarker
[125]
miR-193a-5p
plasma
down
CUX1 and ITSN1
Early diagnostic biomarker
[126]
miR-23b
plasma
down
NA
Early diagnostic biomarker
[127]
miR-99b-5p,
miR-150-5p
serum
down
NA
Early diagnostic biomarker
[128]
miR-760,
miR-29a,
miR-92a
plasma
down
NA
Early diagnostic biomarker
[129]
miR-1229,
miR-25-3p
serum
up
HIPK2/ VEGF pathway
Predict OS,
Promote angiogenesis
[130]
miR-17-5p,
miR-92a-3p
serum
up
NA
prognostic biomarker
[131]
miR-548c-5p
serum
down
NA
prognostic biomarker
[132]
miR-638
serum
down
NA
prognostic biomarker
[133]
miR-135a-5p
serum/plasma
up
LATS2-YAP-MMP7
promote occurrences of CRLM
[134]
miR-33a-5p,
miR-210-3p
serum
down
NA
oxaliplatin sensitivity
[135]
miR-208b
serum
down
PDCD4
oxaliplatin sensitivity
[136]
miR-100,
miR-92a,
miR-16,
miR-30e,
miR-144-5p,
let-7i
plasma
down
PI3K-AKT,
AMPK,
FoxO pathway
oxaliplatin resistance
[137]
miR-486-5p, miR-181a-5p,
miR-30d-5p
plasma
down
NA
promote tumor progression
[138]
miR-210-3p
plasma
up
CELF2
promote tumor progression
[139]
LNCV6_116109, LNCV6_98390, LNCV6_38772, LNCV_108266, LNCV6_84003, LNCV6_98602.
plasma
up
NA
early diagnostic biomarker
[140]
FOXD2-AS1, NRIR,
XLOC_009459
serum
up
NA
early diagnostic biomarker
[141]
NNT-AS1
serum
up
miR-496/RAP2C
diagnostic biomarker, therapeutic target
[142]
H19
serum
up
miR-141/β-catenin pathway
promote stemness, oxaliplatin chemoresistance
[143]
CCAL
serum
up
HuR/β-catenin pathway
oxaliplatin resistance
[144]
UCA1
serum
up
NA
cetuximab resistance
[145]
HOTTIP
serum
up
miR-214/ KPNA3
mitomycin resistance
[146]
circ_0004771
serum
up
NA
early diagnostic biomarker
[147]
circFMN2
serum
up
miR-1182/ hTERT pathway
promote tumor progression
[148]
circ-133
plasma
up
miR-133a/GEF-H1/RhoA
promote tumor metastasis
[149]
circPACRGL
plasma
up
miR-142-3p/miR-506-3P-TGF-1
promote proliferation and invasion
[150]
circ-ABCC1
plasma
up
β-catenin/Wnt pathway
promote tumor progression
[151]
circ-FBXW7
plasma
down
miR-128-3p
oxaliplatin sensitivity
[152]
circ_0000338
plasma
up
miR-217/miR-485-3p
5-FU resistance
[153]
ciRS-122
plasma
up
miR-122/PKM2
oxaliplatin resistance
[154]
CPNE3
plasma
up
NA
diagnostic biomarker,
prognostic biomarker
[155]
QSOX1
serum
down
NA
early diagnostic biomarker
[156]
PrP(C)
serum
up
NA
therapeutic target
[157]

Exosomal miRNAs

MicroRNAs (miRNAs) are small and single-stranded nucleotides (approximately 20–22 nucleotides) that are regulated as oncogenes or tumor suppressors in cancer through various mechanisms [158]. Furthermore, miRNAs can also regulate the tumor microenvironment (TME), affecting tumor angiogenesis, tumor immune invasion and tumor–stromal interactions [159, 160]. Circulating miRNAs, which originate from tissue damage and cell apoptosis, may enter the bloodstream through the secretion of micro-vesicles and exosomes or bind to proteins such as HDL, LDL or AGO2 [161]. Due to the widespread availability and high specificity of exosomal microRNAs to CRC, exosomal microRNAs have been proposed as prospective target biomarkers for the diagnosis of CRC at early and advanced stages [162]. In a recent review, Katiusse Alves dos Santos et al. focused on circulating exosomal miRNAs in CRC and their role in CRC progression and therapy [163]. In the study performed by Jing Wang et al., miR-125a-3p and miR-320c were highly upregulated in plasma exosomes of patients with early-stage colon cancer. Interestingly, exosomal miR-125a-3p and exosomal miR-320c were significantly correlated with nerve infiltration but not with tumor size, infiltration depth, or differentiation degree [123]. Exosomal miR-17-92a or miR-19a overexpression in CRC patients is strongly linked to tumorigenesis and recurrence, especially in the early stages of the disease [124]. As in the above-mentioned studies, the expression of circulating exosomal miR-27a and miR-130a in plasma were significantly increased in CRC in the study by Xiangxiang Liu et al. They could be used as non-invasive indicators for CRC detection and prognosis [125]. Exosomal miRNAs may promote cancer and may also be suppressors. In a work conducted by Rui We et al., exosomal miR-193a-5p, as a tumor suppressor miRNA, was decreased significantly in CRC patients [126]. In addition, plasma miR-23b was significantly decreased in plasma samples from CRC patients and was significantly associated with clinical stage, tumor depth, distant metastasis and tumor recurrence [127]. Furthermore, according to RNA-sequence data analysis, exosomal miR-99b-5p and miR-150-5p levels were dramatically downregulated in early CRC patients compared to healthy volunteers [128]. miRNA profiling followed by validation confirmed that the levels of miR-601 and miR-760 were lower in patients with CRC or adenoma than in healthy controls. In addition, a combination of miR-760, miR-29a and miR-92a can improve the detection sensitivity for early-stage CRC [129]. The findings show that exosomal miRNAs can be used as an early indicator of CRC.
The fact that exosomal miRNAs can distinguish metastatic patients from those without is an interesting finding. Compared to nonmetastatic CRC patients, exosomal miR-1229 and miR-25-3p were more highly expressed in mCRC, as were miR-17-5p and miR-92a-3p, with high AUC values of 0.841 and 0.854 for metastatic discrimination, respectively [130, 131]. Likewise, serum exosomal miR-548c-5p and miR-638 showed lower expression levels in mCRC patients than in nonmetastatic patients [132, 133]. Furthermore, recent research conducted by Sun H et al. discovered that exosomal miR-135a-5p might be a promising target in halting CRLM. Interestingly, according to this study, hypoxia-induced exosomal miR-135a-5p correlates with the development, clinical features, and outlook of CRLM through the premetastatic niche [134]. As illustrated above, exosomal miRNAs also play an important role in the diagnosis of mCRC.
In recent years, chemoresistance has posed a major obstacle for CRC treatment, notwithstanding rapid progress in the pharmaceutical industry. Exosomal miRNAs may act as chemoresistance regulators and anticipate poor results in CRC patients. Shota Tanaka et al. found that acquired and intrinsic L-OHP-resistant CRC cells had lower expression of miR-33a-5p and/or miR-210-3p than sensitive cells, suggesting that miR-33a-5p would be a candidate biomarker of L-OHP sensitivity [135]. In another study, exosomal miR-208b was related to a decrease in oxaliplatin-based chemosensitivity in CRC, as it promotes Treg proliferation by targeting PDCD4 [136]. In a study conducted by Jiayi Han, plasma exosomal miR-100, miR-92a, miR-16, miR-30e, miR-144-5p, and let-7i could significantly distinguish chemoresistant patients from chemo-sensitive patients, and these miRNAs were closely linked with RNA polymerase II transcription and enriched in the PI3K-AKT, AMPK, and FoxO signaling pathways [137]. A systematic review comprehensive explanation of the role of exosomal miRNA in colorectal cancer chemotherapy resistance. According to this review, exosomal miRNAs, including miR-21, miR-92a-3p, miR-196-5p, miR-19b, and miR204-5p, increase chemoresistance, while exosomal miRNAs, including miR-128-3p, miR-1229-5p, miR-96-5p, miR-1246, miR-21-5p, miR-425, miR-135b, and miR-46,146, enhance drug sensitivity. By effectively regulating exosomal miRNAs, it can successfully overcome drug resistance and improve cancer treatment efficacy [164].
Exosomes are regarded as crucial mediators of the heterogeneity of the TME, and the occurrence and development of CRC may be influenced by the TME. Moreover, the hypoxic TME serves as a master regulator in each stage of tumor development. Exosomal oxygen-sensitive miRNAs 486-5p, 181a-5p and 30d-5p are considered circulating markers of tumor hypoxia in CRC patients [138]. In addition, under hypoxic conditions, CRC cells can secrete exosomal miR-210-3p to remodel the TME by suppressing CELF2 expression to boost tumor growth [139]. These findings shed light on the mechanism of colorectal cancer progression as well as prospective therapeutic targets for CRC.
Therefore, exosomal miRNAs can be considered promising biomarkers in the development and progression of CRC, providing valuable information on early and advanced diagnosis, prognosis, response to therapy and prediction of treatment. However, further validation is needed to ensure the reproducibility of the results.

Exosomal lncRNAs

LncRNAs are ncRNAs with a length of longer than 200 nucleotides that do not encode proteins. According to their function in tumors, lncRNAs can be divided into two classes: oncogenic lncRNAs and tumor-suppressor lncRNAs. Importantly, lncRNAs are relatively stable and can detect cancer-related lncRNAs in blood or other body fluids. LncRNAs detected in serum or plasma could be used as potential biomarkers in different types of tumors. However, there are few reports on the expression of exosomal lncRNAs as potential noninvasive diagnostic biomarkers in CRC. In recent years, more studies have demonstrated that circulating lncRNAs, such as HOX transcript antisense RNAs (HOTAIR), colon cancer-associated transcripts (CCAT), metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), hepatocellular carcinoma upregulated lncRNA (HULC), HOXA transcript at the distal tip (HOTTIP) and H19, have been confirmed to be associated with CRC development, invasion and metastasis and present as noninvasive molecular markers [165167]. Hu et al. investigated plasma exosomal lncRNAs in CRC patients compared to healthy controls, discovering LNCV6_116109, LNCV6_98390, LNCV6_38772, LNCV_108266, LNCV6_84003, and LNCV6_98602, which were upregulated in CRC patients [140]. Miao Yu et al. showed that exosomal FOXD2-AS1, NRIR and XLOC_009459 levels were significantly upregulated in 203 CRC patients and 80 early-stage CRC patients compared to 201 healthy individuals, possessing AUCs of 0.728, 0.660, and 0.682 for CRC [141]. In another study, the serum levels of nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) were significantly upregulated in patients with CRC compared with healthy donors. Interestingly, NNT-AS1 levels were significantly decreased after surgery [142]. According to the findings, exosomal lncRNAs have the potential to be used as diagnostic biomarkers for CRC, including early-stage CRC.
Recently, some studies have demonstrated that exosomal lncRNAs mediate cell-to-cell communication within the TME, contributing to cancer cell progression and chemoresistance. For example, upregulation of CAF-derived exosomal H19 can promote the stemness of CSCs and enhance chemoresistance by activating the Wnt pathway [143]. In addition, it has been shown that exosomal colorectal cancer-associated lncRNA (CCAL) directly binds with mRNA stabilizing protein human antigen R (HuR) and promotes the resistance of CRC cells to oxaliplatin [144]. Therefore, it is worth looking into the novel lncRNAs enriched in exosomes derived from endothelial cells surrounding the TME, which may play an essential role in tumor progression. Yang et al. reported that exosomal lncRNA-UCA1 can transmit cetuximab resistance to sensitive cells, and its expression is closely related to the clinical status of cetuximab therapy in CRC patients [145]. Interestingly, Chen et al. revealed that exosomal HOTTIP is highly expressed in mitomycin-resistant CRC cells and can increase the resistance of CRC to mitomycin by impairing miR-214-mediated degradation of KPNA3 [146]. Targeting exosomal lncRNAs might be a promising option for addressing chemoresistance in CRC.
Therefore, exosomal lncRNAs can be considered promising biomarkers in early and advanced diagnosis, prognosis, response to therapy and prediction of treatment. In summary, further studies need to be carried out to ensure the clinical applicability of exosomal lncRNAs.

Exosomal circRNAs

The main length of circRNAs in exosomes is 200–600 bp. CircRNAs are a subset of endogenous noncoding RNAs with a covalently closed continuous loop that are more stable and have longer half-lives [168170]. They have several functions, including acting as miRNA sponges and interacting with RNA-binding proteins, to regulate transcription and alternative splicing [171]. Extensive studies have revealed that dysregulated circRNAs are involved in the development of a variety of malignancies. Exosomal hsa_circ_0004771 was significantly upregulated in patients with colorectal cancer and was downregulated in the serum of postoperative CRC patients, implying that circulating hsa_circ_0004771 might be used as an early diagnostic biomarker for CRC [147]. In a recent study, Li et al. demonstrated that circumformin 2 (circFMN2) is upregulated in CRC plasma, and it may boost CRC proliferation by directly binding with miR-1182 and enhance human telomerase reverse transcriptase [148]. Another study proved that hypoxia-induced exosomal circ-133 is upregulated in CRC patients and promotes tumor metastasis by targeting the GEF-H1/RhoA axis [149]. In addition, Shang et al. discovered that in CRC patients, circPACRGL expression was markedly increased. Moreover, the study suggested that circPACRGL can accelerate CRC cell proliferation and invasion, along with neutrophil differentiation from N1 to N2 [150].
Over the last decade, circRNAs have been reported as important mediators related to the development of chemoresistance in various tumors, such as gastric cancer [172, 173], non-small-cell lung cancer [174], esophageal cancer [175], pancreatic cancer [176, 177], colorectal cancer [152154, 178], glioma [179, 180], and osteosarcoma [181, 182]. However, there are few studies on exosomal circRNA drug resistance to tumors, and the mechanism remains unknown. Recent studies have demonstrated that exosomal circRNAs play important roles in CRC chemoresistance. For example, exosomal circRNAs such as hsa_circ_0000677 (circ-ABCC1) promote the stemness and sphere formation of CRC cells, along with tumor invasion and progression via the Wnt pathway [151]. In addition, a study by Yeqing Xu et al. confirmed that circ-FBXW7 delivery by exosomes could ameliorate chemoresistance to oxaliplatin in CRC by directly interacting with miR-128-3p, suggesting a feasible therapeutic option for oxaliplatin-resistant CRC patients [152]. Another study verified that exosomal circ_0000338 can enhance 5-FU resistance in CRC by negatively regulating miR-217 and miR-485-3p, indicating a promising diagnostic and therapeutic marker for 5-FU-based chemotherapy in CRC patients [153]. Interestingly, exosomal ciRS-122 derived from chemoresistant CRC cells could promote glycolysis and chemoresistance to oxaliplatin by regulating the ciRS-122–miR-122–PKM2 pathway [154]. The above research suggests a potential novel therapeutic target and establishes a foundation for future clinical applications in drug-resistant CRC.

Exosomal proteins

In recent years, with the development of proteomics, the role of exosomal proteins in predicting tumor occurrence, diagnosis and therapy has received much attention. Many studies have shown that the expression of exosomal proteins in different tumors varies greatly [183185]. Bo Sun et al. demonstrated that CRC patients with lower exosomal CPNE3 levels had substantially better DFS and OS than those with higher exosomal CPNE3 levels [155]. Nicole Gang et al. investigated activation status-related exosomal proteins in CRC. Proteomic analyses revealed that the exosomal-associated protein QSOX1 was significantly reduced in plasma exosomes from CRC patients [156]. In another study, exosomal cellular prion protein (PrP) was overexpressed in CRC under a hypoxic TME. They regulate CRC cell behavior and tumor progression. Furthermore, the application of an anti-PrP antibody with 5-fluorouracil significantly suppressed CRC progression in vivo. Taken together, these findings suggest that the coadministration of anti-PrP antibody and anticancer drugs may be an effective therapeutic strategy in colorectal cancer [157].
Additionally, cancer cells can secrete higher concentrations of exosomal PD-L1 rather than present PD-L1 on their cell surface in different tumors. Therefore, exosomal PD-L1 might serve as a worse prognosis in several types of tumors [186]. Exosomal PD-L1 has significant implications for immunotherapeutic approaches to cancer therapy in CRC [187].

Exosomes: methodology and technical challenges

The lack of standardized protocols for specimen preparation, exosome isolation and analysis, which could affect reproducibility, is a limitation to the clinical application of exosomes. Exosome isolation procedures are based on physical (density and size) and biological characteristics, similar to CTCs [188]. Because exosomes are commonly mixed with other biofluid components, so effective isolation is the key step for experimental research. Thus far, the commonly used exosome isolation strategies are classified as density-based, size-based, surface components-based, and precipitation methods [189, 190]. Traditional exosome isolation can be performed using a variety of methods, including differential centrifugation (DC), ultracentrifugation (UC), density gradient ultracentrifugation (DG UC), ultrafiltration, size-exclusion chromatography (SEC), hydrostatic filtration dialysis (HFD), polymer precipitation, and immunoaffinity capture. The gold standard approach for isolating exosomes is UC [191]. It is determined by the size of particles and the solution’s viscosity. While the approach is simple and straightforward, it still has a low recovery efficiency and a low purity level [192]. One of the prominent size-based exosome isolation techniques is ultrafiltration. The method has the advantages of a simpler and faster procedure, a higher yield, and no need for special equipment. However, the exosomes recovery rate may be low due to the deformation and breaking up of exosomes [193]. SEC, another size-based methodology that is superior to ultracentrifugation, provides better exosome recovery [194]. In 2014, Musante et al. used HFD method to successfully isolate exosomes from urine samples. And the method was proved to be simple, quick, and efficient [195]. Based on the chemical properties of exosomes, the polymer-based precipitation separation method is used to precipitate exosomes. To date, the polyethylene glycol (PEG) approach is the most widely utilized polymer-based exosome separation method. The method is straightforward to use, requires no special equipment, and can scale up to huge sample volumes. The microplate-based immunocapture technique and the immunoaffinity capture/magneto-immunocapture.
based on immunoaffinity were proposed for immunological exosome separation to capture exosomes [196, 197]. The various proteins on the membrane of exosomes are ideal biomarkers for immunological separation of exosomes. Furthermore, it is easy to gather high purity and isolate a certain subtype of exosomes by targeting specific proteins. Advances in microfluidics, including acoustic fluid separation [198], dielectrophoretic (DEP) separation [199], and deterministic lateral displacement (DLD) separation [200], have played an increasingly important role in exosome separation and detection. Together with isolation methods, exosome detection methods include scanning electron microscopy (SEM), transmission electron microscopy (TEM), atomic force microscopy (AFM), enzyme-linked immunosorbent assay (ELISA), dynamic light scattering (DLS), nanoparticle tracking analysis (NTA), western blot (WB), colorimetry, surface plasmon resonance (SPR), magnetic detection, electrochemical detection, and so on [201204]. In summary, standardized protocols for specimen preparation, exosome isolation, and analysis should be taken into consideration to be suited for clinical utilization.

TEPs in CRC 

TEPS: detection, prognosis and progression monitoring in CRC

Platelets are small (2–4 μm), circulating anucleate hematopoietic cells generated from MKs that subsequently mature and even divide in the bloodstream [205]. Platelets are the second most abundant cell type in peripheral blood and have been described as having an important role in haemostasis and thrombosis [23]. TEPs are an emerging concept that have attracted significant attention for their potential use in cancer diagnostics. Cancer cells can activate platelets directly by their adhesion to circulating platelets and indirectly by numerous released factors [206]. The direct interaction of platelets with cancer cells appears to be necessary for cancer progression. Peterson et al. demonstrated that VEGF, PDGF, and platelet Factor 4 (PF4) are elevated in platelets of CRC patients [207]. On the one hand, cancer cells can also “educate” platelets through both direct and indirect mechanisms stimulating tumor cell-induced platelet aggregation (TCIPA) by delivering their cargo, including RNA and protein profiles [208]. However, the role of TEPs in RNA regulation may alter their spliced RNA profile [209, 210]. TCIPA is considered to promote angiogenesis and metastasis in tumors, so it is negatively correlated with prognosis and survival [211]. An initial work by Best et al. distinguished cancer patients from healthy individuals by using RNA-seq analysis. Furthermore, mutant oncogenic drivers, including KRAS-, EGFR-, PIK3C4-, MET- and HER-2-positive tumors, were precisely distinguished, suggesting that TEPs may provide precise tools for cancer diagnosis and targeted therapies [28]. Additionally, several studies have reported that the platelet RNA profile changes in several cancer types, including non-small-cell lung cancer (NSCLC) [212216], hepatocellular carcinoma (HCC) [217219], glioma [220, 221] and breast carcinomas [222]. However, the role and function of TEP mRNAs in CRC are still not clear. Recent studies have demonstrated that TEPs play essential roles in tumor progression and metastasis [223, 224]. Liu Yang et al. proved that TIMP1 mRNA levels are higher in platelets from CRC patients than in platelets from healthy volunteers, suggesting that it may be used as a diagnostic biomarker for CRC [225]. Moreover, a study by Qian et al. showed that TEPs and platelet counts are associated with the prognosis of resectable lung cancers and CRC [226].
During previous decades, many studies have explored the protein profiles of platelets. However, not all mRNAs in platelets are translated into proteins. Londin et al. showed that only 40% of platelet mRNAs are translated into corresponding proteins [227]. To date, researchers have only focused on the transfer of tumor-derived RNA into platelets but not on its associations with platelet protein profiles [27, 227]. Despite their anucleate nature and short lifespan, platelets are becoming well recognized. Importantly, the protein and RNA profiles of TEPs are dynamically transformed in various types of cancer patients. TEPs are considered mediators that influence several hallmarks of cancer, such as immune system evasion and the TME. Increasing evidence suggests that TEPs can influence the development of tumor. The easy accessibility and separation of TEPs makes them more advantageous than CTCs, ctDNA and exosomes in the diagnosis of cancer. When looking for novel approaches to deal with malignant tumor, TEPs can be used as a promising tool for diagnosis, prognosis and treatment (Fig. 3D).
TEPs: methodology and technical challenges
Currently, the focus of most research on TEPs is changes in RNA content and modification of the proteome. Additionally, technologies have emerged to detect TEPs, including conventional RT–PCR, RNA sequencing, FCM analysis, WB and ELISA approaches [207, 209, 220, 221]. New methods, such as ddPCR and single-cell RNA sequencing, can assess tumor RNAs in plasma with enhanced accuracy and sensitivity to improve the detection of mutant RNAs within TEPs [228, 229]. TEP detection is expected to increase as a result of these advancements, which will aid future cancer research. In summary, there are still few studies on TEPs in CRC, and the detection methods need to be continuously improved in the future.

Other Liquid Biopsy Components in CRC

TME components are also a minimally invasive source of liquid biopsy and are rapidly becoming the focus of precision medicine research [230]. In recent studies, researchers discovered new types of circulating non-tumoral cells, as well as their derived markers and extracellular matrix components, which have clinical utility for diagnosis, prognosis, and therapeutic response [231]. Circulating endothelial cells (CECs) are vascular endothelial cells found in the blood that act as surrogate markers of endothelial damage and an increase in a variety of disorders such as vascular, autoimmune, infectious, and tumor [232235]. CECs, which are derived from mature endothelial cells and endothelial progenitor cells of the existing vessel wall as well as endothelial progenitor cells from bone marrow (EPCs), proliferate dramatically during tumor progression and play an important role in tumor angiogenesis [236]. Several research suggests that circulating tumor-derived endothelial cells (CTECs) may play a prognostic role in CRC, with a higher prognostic value than CTCs [237, 238]. In a recent study, CTECs may become a diagnostic method in early-stage (≤IIA) CRC patients. At the time of diagnosis, during treatment, and throughout the course of the disease, CTECs may provide important information about the underlying tumor vasculature [239]. Interestingly, several studies show that CTECs have predictive value in bevacizumab-treated mCRC patients [240, 241]. Matsusaka et al. discovered that CXCR4-positive CEC were significantly associated with longer PFS and OS as compared other indicators investigated [242]. Similarly, Gootjes et al. observed that CECs and CD276-psoitive CTECs based on FCM were significantly increased after treatment with bevacizumab plus chemotherapy in mCRC patients [243]. To analyze CECs and their subpopulations, two analytical techniques are available: multiparameter FCM and the CellSearch system [237]. Subtraction enrichment-immunofluorescence in situ hybridization (SE-iFISH) is a novel strategy for detecting CTCs and CTECs with high sensitivity in order to identify malignant nodules [244]. Much more research is needed to determine the clinical utility of CECs and CTECs as biomarkers of antiangiogenic therapy in CRC patients (Fig. 3E).
Circulating immune cells serve as a noninvasive indicator of immunotherapy responsiveness in CRC. A study has shown that circulating T cell lymphocyte subsets are also confirmed as mCRC biomarkers [245]. The result showed that the decrease of CD4+ and Treg ratios had a better OS during the folinic acid, 5-FU and irinotecan (FOLFIRI) plus bevacizumab treatment. Additionally, A low proportion of circulating Tregs among CD4+ cells and a high CD8: Treg ratio have prognostic value following VEGF-targeting therapy [246]. Interestingly, the systemic immune-inflammation index, the ratios of different immune cells and immune cells to platelets are also prognostic and predictive biomarkers in mCRC patients, including platelet-to-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) [247249]. Other TME components, such as extracellular matrix (ECM) components and collagen fragments from ECM have been studied as diagnostic and prognostic biomarkers in many tumors, but their role in mCRC is unknown [250, 251].

Future perspectives and conclusion

Within the past decade, the field of liquid biopsy has grown rapidly. Liquid biopsy is a valid alternative to tissue re-biopsy. In general, liquid biopsy is noninvasive, overcomes tumor heterogeneity and can allow real-time monitoring of tumor progression, recurrence or therapeutic response [252]. There are also ongoing clinical trials from the US National Laboratory of Medicine (NIH) for liquid biopsy in CRC, aiming at predicting which patients require special monitoring and individualized therapy. Liquid biopsy opens a new avenue for CRC early detection, disease monitoring, treatment response and therapeutic resistance. In the present review, we summarized the techniques currently applied to liquid biopsy and described the different circulating biomarkers in body fluids and their clinical potential for precision therapy of CRC.
However, on its own, each approach has limitations. Indeed, there are still several technical factors clearly hindering the potential translation of liquid biopsy biomarkers into clinical practice. First and foremost, CTCs and cfDNA collected from CRC patients are commonly poorly concentrated [253, 254]. Second, there is a lack of standard methodology of isolation, enrichment or detection. Therefore, applying different technologies or assays to detect CTCs or ctDNA may lead to diverse sensitivities and specificities [255, 256]. Last, there is an urgent need for more multicentre, larger, longer-term studies to achieve the clinical use of liquid biopsies, including clinical trials.
In recent years, an increasing number of studies have focused on exosomes and their roles in cancer progression. Exosomes are involved in many processes of tumor initiation, development and metastasis, including EMT, tumor angiogenesis, extracellular matrix remodelling, organ-specific metastasis, and immune evasion. Exosomes can also contribute to drug resistance in cancers. Because exosomes are easier to isolate than CTCs and cfDNA in tumors, an increasing number of studies will be focused on exosomes in the diagnosis of cancers at an early stage in the future. However, there are still some problems in clinical application, such as low targeting efficiency and easy phagocytosis by the immune system. Moreover, the method of isolation and purification of exosomes is wasting time and energy. Therefore, more research should be done to solve these problems and develop more effective clinical applications of exosomes. The advantages of TEPs are due to their considerable abundance and ease of isolation in the blood, their high-quality RNA, and their ability to process RNA in response to external signals [209, 257, 258]. Combinatorial analysis of TEP RNA with complementary biosources such as exosomes, ctDNA, and CTCs will enhance the detection of cancer in an early stage and promote noninvasive disease surveillance. The next frontier for liquid biopsies is whether they might act as predictive biomarkers for immunotherapy. TMB in ctDNA and IC protein in CTCs play important roles in tumor immunotherapy. However, due to insufficiently and incompletely understood molecular mechanisms, liquid biopsy has not yet been implemented in immuno-oncology in the clinic, but promising data and rapidly advancing technologies suggest that this approach has the potential to personalize the clinical management of cancer patients receiving ICIs. In addition, more research is needed to prove this hypothesis, especially in clinical trials.
The universal replacement of tumor biopsies with liquid biopsies seems unrealistic; however, as ctDNA, CTCs, exosomes, TEPs and additional blood tests improve, it seems likely that they will become an increasingly used tool for CRC in early detection, postoperative monitoring, treatment response and therapeutic resistance. In summary, liquid biopsy is a key part of precise medicine and is believed to be a clinical reality in the near future.

Acknowledgements

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Competing interests

The authors declare that they have no competing interests.
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Supplementary Information

Literatur
1.
Zurück zum Zitat Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.PubMedCrossRef Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.PubMedCrossRef
2.
Zurück zum Zitat Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017;66:683–91.PubMedCrossRef Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017;66:683–91.PubMedCrossRef
3.
Zurück zum Zitat Pantel K, Alix-Panabières C. Circulating tumour cells in cancer patients: challenges and perspectives. Trends Mol Med. 2010;16:398–406.PubMedCrossRef Pantel K, Alix-Panabières C. Circulating tumour cells in cancer patients: challenges and perspectives. Trends Mol Med. 2010;16:398–406.PubMedCrossRef
4.
Zurück zum Zitat Lianidou ES, Mavroudis D, Sotiropoulou G, Agelaki S, Pantel K. What's new on circulating tumor cells? A meeting report. Breast Cancer Res. 2010;12:307–7.PubMedPubMedCentralCrossRef Lianidou ES, Mavroudis D, Sotiropoulou G, Agelaki S, Pantel K. What's new on circulating tumor cells? A meeting report. Breast Cancer Res. 2010;12:307–7.PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Alix-Panabieres C, Pantel K. Circulating tumor cells: liquid biopsy of Cancer. Clin Chem. 2013;59:110–8.PubMedCrossRef Alix-Panabieres C, Pantel K. Circulating tumor cells: liquid biopsy of Cancer. Clin Chem. 2013;59:110–8.PubMedCrossRef
6.
Zurück zum Zitat Ashworth T. A case of cancer in which cells similar to those in the tumours were seen in the blood after death. Aust Med J. 1869;14:146–9. Ashworth T. A case of cancer in which cells similar to those in the tumours were seen in the blood after death. Aust Med J. 1869;14:146–9.
7.
Zurück zum Zitat Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, Miller MC, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351:781–91.PubMedCrossRef Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, Miller MC, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351:781–91.PubMedCrossRef
9.
Zurück zum Zitat Pierga JY, Hajage D, Bachelot T, Delaloge S, Brain E, Campone M, et al. High independent prognostic and predictive value of circulating tumor cells compared with serum tumor markers in a large prospective trial in first-line chemotherapy for metastatic breast cancer patients. Ann Oncol. 2012;23:618–24.PubMedCrossRef Pierga JY, Hajage D, Bachelot T, Delaloge S, Brain E, Campone M, et al. High independent prognostic and predictive value of circulating tumor cells compared with serum tumor markers in a large prospective trial in first-line chemotherapy for metastatic breast cancer patients. Ann Oncol. 2012;23:618–24.PubMedCrossRef
10.
Zurück zum Zitat Lohr JG, Adalsteinsson VA, Cibulskis K, Choudhury AD, Rosenberg M, Cruz-Gordillo P, et al. Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. Nat Biotechnol. 2014;32:479–84.PubMedPubMedCentralCrossRef Lohr JG, Adalsteinsson VA, Cibulskis K, Choudhury AD, Rosenberg M, Cruz-Gordillo P, et al. Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. Nat Biotechnol. 2014;32:479–84.PubMedPubMedCentralCrossRef
11.
Zurück zum Zitat Jiang R, Lu YT, Ho H, Li B, Chen JF, Lin M, et al. A comparison of isolated circulating tumor cells and tissue biopsies using whole-genome sequencing in prostate cancer. Oncotarget. 2015;6:44781–93.PubMedPubMedCentralCrossRef Jiang R, Lu YT, Ho H, Li B, Chen JF, Lin M, et al. A comparison of isolated circulating tumor cells and tissue biopsies using whole-genome sequencing in prostate cancer. Oncotarget. 2015;6:44781–93.PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Mandel P, Metais P. Nuclear acids in human blood plasma. C R Seances Soc Biol Fil. 1948;142:241–3.PubMed Mandel P, Metais P. Nuclear acids in human blood plasma. C R Seances Soc Biol Fil. 1948;142:241–3.PubMed
13.
Zurück zum Zitat Leon SA, Shapiro B, Sklaroff DM, Yaros MJ. Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res. 1977;37:646–50.PubMed Leon SA, Shapiro B, Sklaroff DM, Yaros MJ. Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res. 1977;37:646–50.PubMed
14.
Zurück zum Zitat Caldas C, Hahn SA, Hruban RH, Redston MS, Yeo CJ, Kern SE. Detection of K-ras mutations in the stool of patients with pancreatic adenocarcinoma and pancreatic ductal hyperplasia. Cancer Res. 1994;54:3568–73.PubMed Caldas C, Hahn SA, Hruban RH, Redston MS, Yeo CJ, Kern SE. Detection of K-ras mutations in the stool of patients with pancreatic adenocarcinoma and pancreatic ductal hyperplasia. Cancer Res. 1994;54:3568–73.PubMed
15.
Zurück zum Zitat Esteller M, Sanchez-Cespedes M, Rosell R, Sidransky D, Baylin SB, Herman JG. Detection of aberrant promoter hypermethylation of tumor suppressor genes in serum DNA from non-small cell lung cancer patients. Cancer Res. 1999;59:67–70.PubMed Esteller M, Sanchez-Cespedes M, Rosell R, Sidransky D, Baylin SB, Herman JG. Detection of aberrant promoter hypermethylation of tumor suppressor genes in serum DNA from non-small cell lung cancer patients. Cancer Res. 1999;59:67–70.PubMed
16.
Zurück zum Zitat Diehl F, Schmidt K, Choti MA, Romans K, Goodman S, Li M, et al. Circulating mutant DNA to assess tumor dynamics. Nat Med. 2008;14:985–90.PubMedCrossRef Diehl F, Schmidt K, Choti MA, Romans K, Goodman S, Li M, et al. Circulating mutant DNA to assess tumor dynamics. Nat Med. 2008;14:985–90.PubMedCrossRef
17.
Zurück zum Zitat S ELA, Mäger I, Breakefield XO, Wood MJ: extracellular vesicles: biology and emerging therapeutic opportunities. Nat Rev Drug Discov. 2013;12:347–57. S ELA, Mäger I, Breakefield XO, Wood MJ: extracellular vesicles: biology and emerging therapeutic opportunities. Nat Rev Drug Discov. 2013;12:347–57.
18.
Zurück zum Zitat Johnstone RM, Adam M, Hammond JR, Orr L, Turbide C. Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes). J Biol Chem. 1987;262:9412–20.PubMedCrossRef Johnstone RM, Adam M, Hammond JR, Orr L, Turbide C. Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes). J Biol Chem. 1987;262:9412–20.PubMedCrossRef
19.
Zurück zum Zitat Raposo G, Nijman HW, Stoorvogel W, Liejendekker R, Harding CV, Melief CJ, et al. B lymphocytes secrete antigen-presenting vesicles. J Exp Med. 1996;183:1161–72.PubMedCrossRef Raposo G, Nijman HW, Stoorvogel W, Liejendekker R, Harding CV, Melief CJ, et al. B lymphocytes secrete antigen-presenting vesicles. J Exp Med. 1996;183:1161–72.PubMedCrossRef
20.
Zurück zum Zitat Zitvogel L, Regnault A, Lozier A, Wolfers J, Flament C, Tenza D, et al. Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell-derived exosomes. Nat Med. 1998;4:594–600.PubMedCrossRef Zitvogel L, Regnault A, Lozier A, Wolfers J, Flament C, Tenza D, et al. Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell-derived exosomes. Nat Med. 1998;4:594–600.PubMedCrossRef
21.
Zurück zum Zitat Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science. 2020;367(6478):eaau6977. Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science. 2020;367(6478):eaau6977.
23.
Zurück zum Zitat van der Meijden PEJ, Heemskerk JWM. Platelet biology and functions: new concepts and clinical perspectives. Nat Rev Cardiol. 2019;16:166–79.PubMedCrossRef van der Meijden PEJ, Heemskerk JWM. Platelet biology and functions: new concepts and clinical perspectives. Nat Rev Cardiol. 2019;16:166–79.PubMedCrossRef
24.
Zurück zum Zitat McAllister SS, Weinberg RA. The tumour-induced systemic environment as a critical regulator of cancer progression and metastasis. Nat Cell Biol. 2014;16:717–27.PubMedPubMedCentralCrossRef McAllister SS, Weinberg RA. The tumour-induced systemic environment as a critical regulator of cancer progression and metastasis. Nat Cell Biol. 2014;16:717–27.PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Trousseau A. Clinique medicale de l'hotel Dieu de Paris quatrieme edition. Medical clinic at Dieu's hotel in Paris. 1873;3. Trousseau A. Clinique medicale de l'hotel Dieu de Paris quatrieme edition. Medical clinic at Dieu's hotel in Paris. 1873;3.
26.
Zurück zum Zitat Wright JH. The origin and nature of the blood plates. Boston Med Surg J. 1906;154:643–5.CrossRef Wright JH. The origin and nature of the blood plates. Boston Med Surg J. 1906;154:643–5.CrossRef
27.
Zurück zum Zitat Nilsson RJ, Balaj L, Hulleman E, van Rijn S, Pegtel DM, Walraven M, et al. Blood platelets contain tumor-derived RNA biomarkers. Blood. 2011;118:3680–3.PubMedPubMedCentralCrossRef Nilsson RJ, Balaj L, Hulleman E, van Rijn S, Pegtel DM, Walraven M, et al. Blood platelets contain tumor-derived RNA biomarkers. Blood. 2011;118:3680–3.PubMedPubMedCentralCrossRef
28.
Zurück zum Zitat Best MG, Sol N, Kooi I, Tannous J, Westerman BA, Rustenburg F, et al. RNA-Seq of tumor-educated platelets enables blood-based Pan-Cancer, multiclass, and molecular pathway Cancer diagnostics. Cancer Cell. 2015;28:666–76.PubMedPubMedCentralCrossRef Best MG, Sol N, Kooi I, Tannous J, Westerman BA, Rustenburg F, et al. RNA-Seq of tumor-educated platelets enables blood-based Pan-Cancer, multiclass, and molecular pathway Cancer diagnostics. Cancer Cell. 2015;28:666–76.PubMedPubMedCentralCrossRef
29.
30.
Zurück zum Zitat Tsai WS, You JF, Hung HY, Hsieh PS, Hsieh B, Lenz HJ, et al. Novel circulating tumor cell assay for detection of colorectal adenomas and Cancer. Clin Transl Gastroenterol. 2019;10:e00088.PubMedPubMedCentralCrossRef Tsai WS, You JF, Hung HY, Hsieh PS, Hsieh B, Lenz HJ, et al. Novel circulating tumor cell assay for detection of colorectal adenomas and Cancer. Clin Transl Gastroenterol. 2019;10:e00088.PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Bork U, Rahbari NN, Schölch S, Reissfelder C, Kahlert C, Büchler MW, et al. Circulating tumour cells and outcome in non-metastatic colorectal cancer: a prospective study. Br J Cancer. 2015;112:1306–13.PubMedPubMedCentralCrossRef Bork U, Rahbari NN, Schölch S, Reissfelder C, Kahlert C, Büchler MW, et al. Circulating tumour cells and outcome in non-metastatic colorectal cancer: a prospective study. Br J Cancer. 2015;112:1306–13.PubMedPubMedCentralCrossRef
32.
Zurück zum Zitat Hinz S, Röder C, Tepel J, Hendricks A, Schafmayer C, Becker T, et al. Cytokeratin 20 positive circulating tumor cells are a marker for response after neoadjuvant chemoradiation but not for prognosis in patients with rectal cancer. BMC Cancer. 2015;15:953.PubMedPubMedCentralCrossRef Hinz S, Röder C, Tepel J, Hendricks A, Schafmayer C, Becker T, et al. Cytokeratin 20 positive circulating tumor cells are a marker for response after neoadjuvant chemoradiation but not for prognosis in patients with rectal cancer. BMC Cancer. 2015;15:953.PubMedPubMedCentralCrossRef
33.
Zurück zum Zitat Pan RJ, Hong HJ, Sun J, Yu CR, Liu HS, Li PY, et al. Detection and clinical value of circulating tumor cells as an assisted prognostic marker in colorectal Cancer patients. Cancer Manag Res. 2021;13:4567–78.PubMedPubMedCentralCrossRef Pan RJ, Hong HJ, Sun J, Yu CR, Liu HS, Li PY, et al. Detection and clinical value of circulating tumor cells as an assisted prognostic marker in colorectal Cancer patients. Cancer Manag Res. 2021;13:4567–78.PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat Abdalla TSA, Meiners J, Riethdorf S, König A, Melling N, Gorges T, et al. Prognostic value of preoperative circulating tumor cells counts in patients with UICC stage I-IV colorectal cancer. PLoS One. 2021;16:e0252897.PubMedPubMedCentralCrossRef Abdalla TSA, Meiners J, Riethdorf S, König A, Melling N, Gorges T, et al. Prognostic value of preoperative circulating tumor cells counts in patients with UICC stage I-IV colorectal cancer. PLoS One. 2021;16:e0252897.PubMedPubMedCentralCrossRef
35.
Zurück zum Zitat Tan Y, Wu H. The significant prognostic value of circulating tumor cells in colorectal cancer: a systematic review and meta-analysis. Curr Probl Cancer. 2018;42:95–106.PubMedCrossRef Tan Y, Wu H. The significant prognostic value of circulating tumor cells in colorectal cancer: a systematic review and meta-analysis. Curr Probl Cancer. 2018;42:95–106.PubMedCrossRef
36.
Zurück zum Zitat Groot Koerkamp B, Rahbari NN, Büchler MW, Koch M, Weitz J. Circulating tumor cells and prognosis of patients with resectable colorectal liver metastases or widespread metastatic colorectal cancer: a meta-analysis. Ann Surg Oncol. 2013;20:2156–65.PubMedCrossRef Groot Koerkamp B, Rahbari NN, Büchler MW, Koch M, Weitz J. Circulating tumor cells and prognosis of patients with resectable colorectal liver metastases or widespread metastatic colorectal cancer: a meta-analysis. Ann Surg Oncol. 2013;20:2156–65.PubMedCrossRef
37.
Zurück zum Zitat Connor AA, McNamara K, Al-Sukhni E, Diskin J, Chan D, Ash C, et al. Central, but not peripheral, circulating tumor cells are prognostic in patients undergoing resection of colorectal Cancer liver metastases. Ann Surg Oncol. 2016;23:2168–75.PubMedCrossRef Connor AA, McNamara K, Al-Sukhni E, Diskin J, Chan D, Ash C, et al. Central, but not peripheral, circulating tumor cells are prognostic in patients undergoing resection of colorectal Cancer liver metastases. Ann Surg Oncol. 2016;23:2168–75.PubMedCrossRef
38.
Zurück zum Zitat Zhao JX, Liu LR, Yang XY, Liu F, Zhang ZG. Serum CA19-9 as a marker of circulating tumor cells in first reflux blood of colorectal cancer patients. Oncotarget. 2017;8:67918–32.PubMedPubMedCentralCrossRef Zhao JX, Liu LR, Yang XY, Liu F, Zhang ZG. Serum CA19-9 as a marker of circulating tumor cells in first reflux blood of colorectal cancer patients. Oncotarget. 2017;8:67918–32.PubMedPubMedCentralCrossRef
39.
Zurück zum Zitat Wu F, Zhu J, Mao Y, Li X, Hu B, Zhang D. Associations between the epithelial-mesenchymal transition phenotypes of circulating tumor cells and the Clinicopathological features of patients with colorectal Cancer. Dis Markers. 2017;2017:9474532.PubMedPubMedCentralCrossRef Wu F, Zhu J, Mao Y, Li X, Hu B, Zhang D. Associations between the epithelial-mesenchymal transition phenotypes of circulating tumor cells and the Clinicopathological features of patients with colorectal Cancer. Dis Markers. 2017;2017:9474532.PubMedPubMedCentralCrossRef
40.
Zurück zum Zitat Zhong Y, Ma T, Qiao T, Hu H, Li Z, Luo K, et al. Role of phenotypes of circulating tumor cells in the diagnosis and treatment of colorectal Cancer. Cancer Manag Res. 2021;13:7077–85.PubMedPubMedCentralCrossRef Zhong Y, Ma T, Qiao T, Hu H, Li Z, Luo K, et al. Role of phenotypes of circulating tumor cells in the diagnosis and treatment of colorectal Cancer. Cancer Manag Res. 2021;13:7077–85.PubMedPubMedCentralCrossRef
41.
Zurück zum Zitat Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017;357:409–13.PubMedPubMedCentralCrossRef Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017;357:409–13.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Gandara DR, Paul SM, Kowanetz M, Schleifman E, Zou W, Li Y, et al. Blood-based tumor mutational burden as a predictor of clinical benefit in non-small-cell lung cancer patients treated with atezolizumab. Nat Med. 2018;24:1441–8.PubMedCrossRef Gandara DR, Paul SM, Kowanetz M, Schleifman E, Zou W, Li Y, et al. Blood-based tumor mutational burden as a predictor of clinical benefit in non-small-cell lung cancer patients treated with atezolizumab. Nat Med. 2018;24:1441–8.PubMedCrossRef
43.
Zurück zum Zitat Toor SM, Murshed K, Al-Dhaheri M, Khawar M, Abu Nada M, Elkord E. Immune checkpoints in circulating and tumor-infiltrating CD4(+) T cell subsets in colorectal Cancer patients. Front Immunol. 2019;10:2936.PubMedPubMedCentralCrossRef Toor SM, Murshed K, Al-Dhaheri M, Khawar M, Abu Nada M, Elkord E. Immune checkpoints in circulating and tumor-infiltrating CD4(+) T cell subsets in colorectal Cancer patients. Front Immunol. 2019;10:2936.PubMedPubMedCentralCrossRef
44.
Zurück zum Zitat Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, et al. Nivolumab versus Docetaxel in advanced nonsquamous non-small-cell lung Cancer. N Engl J Med. 2015;373:1627–39.PubMedPubMedCentralCrossRef Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, et al. Nivolumab versus Docetaxel in advanced nonsquamous non-small-cell lung Cancer. N Engl J Med. 2015;373:1627–39.PubMedPubMedCentralCrossRef
45.
Zurück zum Zitat Le DT, Uram JN, Wang H, Bartlett BR, Kemberling H, Eyring AD, et al. PD-1 blockade in tumors with mismatch-repair deficiency. N Engl J Med. 2015;372:2509–20.PubMedPubMedCentralCrossRef Le DT, Uram JN, Wang H, Bartlett BR, Kemberling H, Eyring AD, et al. PD-1 blockade in tumors with mismatch-repair deficiency. N Engl J Med. 2015;372:2509–20.PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat Fuchs CS, Doi T, Jang RW, Muro K, Satoh T, Machado M, et al. Safety and efficacy of Pembrolizumab monotherapy in patients with previously treated advanced gastric and Gastroesophageal junction Cancer: phase 2 clinical KEYNOTE-059 trial. JAMA Oncol. 2018;4:e180013.PubMedPubMedCentralCrossRef Fuchs CS, Doi T, Jang RW, Muro K, Satoh T, Machado M, et al. Safety and efficacy of Pembrolizumab monotherapy in patients with previously treated advanced gastric and Gastroesophageal junction Cancer: phase 2 clinical KEYNOTE-059 trial. JAMA Oncol. 2018;4:e180013.PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Satelli A, Batth IS, Brownlee Z, Rojas C, Meng QH, Kopetz S, et al. Potential role of nuclear PD-L1 expression in cell-surface vimentin positive circulating tumor cells as a prognostic marker in cancer patients. Sci Rep. 2016;6:28910.PubMedPubMedCentralCrossRef Satelli A, Batth IS, Brownlee Z, Rojas C, Meng QH, Kopetz S, et al. Potential role of nuclear PD-L1 expression in cell-surface vimentin positive circulating tumor cells as a prognostic marker in cancer patients. Sci Rep. 2016;6:28910.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Raimondi L, Raimondi FM, Di Benedetto L, Cimino G, Spinelli GP. PD-L1 Expression on Circulating Tumour Cells May Be Predictive of Response to Regorafenib in Patients Diagnosed with Chemorefractory Metastatic Colorectal Cancer. Int J Mol Sci. 2020;21:6907.PubMedCentralCrossRef Raimondi L, Raimondi FM, Di Benedetto L, Cimino G, Spinelli GP. PD-L1 Expression on Circulating Tumour Cells May Be Predictive of Response to Regorafenib in Patients Diagnosed with Chemorefractory Metastatic Colorectal Cancer. Int J Mol Sci. 2020;21:6907.PubMedCentralCrossRef
49.
Zurück zum Zitat Songdong Meng DT, Eugene P. Frenkel: circulating tumor cells in patients with breast cancer dormancy. Clin Cancer Res. 2004;10:8152–62.PubMedCrossRef Songdong Meng DT, Eugene P. Frenkel: circulating tumor cells in patients with breast cancer dormancy. Clin Cancer Res. 2004;10:8152–62.PubMedCrossRef
50.
Zurück zum Zitat Kowalik A, Kowalewska M, Góźdź S. Current approaches for avoiding the limitations of circulating tumor cells detection methods-implications for diagnosis and treatment of patients with solid tumors. Transl Res. 2017;185:58–84.e15.PubMedCrossRef Kowalik A, Kowalewska M, Góźdź S. Current approaches for avoiding the limitations of circulating tumor cells detection methods-implications for diagnosis and treatment of patients with solid tumors. Transl Res. 2017;185:58–84.e15.PubMedCrossRef
51.
Zurück zum Zitat Yin CQ, Yuan CH, Qu Z, Guan Q, Chen H, Wang FB. Liquid biopsy of hepatocellular carcinoma: circulating tumor-derived biomarkers. Dis Markers. 2016;2016:1427849.PubMedPubMedCentralCrossRef Yin CQ, Yuan CH, Qu Z, Guan Q, Chen H, Wang FB. Liquid biopsy of hepatocellular carcinoma: circulating tumor-derived biomarkers. Dis Markers. 2016;2016:1427849.PubMedPubMedCentralCrossRef
52.
Zurück zum Zitat Racila E, Euhus D, Weiss AJ, Rao C, McConnell J, Terstappen LWMM, Uhr JW. Detection and characterization of carcinoma cells in the blood. Proc Natl Acad Sci. 1998;95:4589–94.PubMedPubMedCentralCrossRef Racila E, Euhus D, Weiss AJ, Rao C, McConnell J, Terstappen LWMM, Uhr JW. Detection and characterization of carcinoma cells in the blood. Proc Natl Acad Sci. 1998;95:4589–94.PubMedPubMedCentralCrossRef
54.
Zurück zum Zitat Bahnassy AA, Salem SE, Mohanad M, Abulezz NZ, Abdellateif MS, Hussein M, Zekri CAN, Zekri AN, Allahloubi NMA. Prognostic significance of circulating tumor cells (CTCs) in Egyptian non-metastatic colorectal cancer patients: A comparative study for four different techniques of detection (Flowcytometry, Cell Search, Quantitative Real-time PCR and Cytomorphology). Exp Mol Pathol. 2019;106:90–101.PubMedCrossRef Bahnassy AA, Salem SE, Mohanad M, Abulezz NZ, Abdellateif MS, Hussein M, Zekri CAN, Zekri AN, Allahloubi NMA. Prognostic significance of circulating tumor cells (CTCs) in Egyptian non-metastatic colorectal cancer patients: A comparative study for four different techniques of detection (Flowcytometry, Cell Search, Quantitative Real-time PCR and Cytomorphology). Exp Mol Pathol. 2019;106:90–101.PubMedCrossRef
55.
Zurück zum Zitat Nagrath S, Sequist LV, Maheswaran S, Bell DW, Irimia D, Ulkus L, et al. Isolation of rare circulating tumour cells in cancer patients by microchip technology. Nature. 2007;450:1235–9.PubMedPubMedCentralCrossRef Nagrath S, Sequist LV, Maheswaran S, Bell DW, Irimia D, Ulkus L, et al. Isolation of rare circulating tumour cells in cancer patients by microchip technology. Nature. 2007;450:1235–9.PubMedPubMedCentralCrossRef
56.
Zurück zum Zitat Sarioglu AF, Aceto N, Kojic N, Donaldson MC, Zeinali M, Hamza B, et al. A microfluidic device for label-free, physical capture of circulating tumor cell clusters. Nat Methods. 2015;12:685–91.PubMedPubMedCentralCrossRef Sarioglu AF, Aceto N, Kojic N, Donaldson MC, Zeinali M, Hamza B, et al. A microfluidic device for label-free, physical capture of circulating tumor cell clusters. Nat Methods. 2015;12:685–91.PubMedPubMedCentralCrossRef
57.
Zurück zum Zitat Li W, Wang H, Zhao Z, Gao H, Liu C, Zhu L, et al. Emerging nanotechnologies for liquid biopsy: the detection of circulating tumor cells and extracellular vesicles. Adv Mater. 2019;31:e1805344.PubMedCrossRef Li W, Wang H, Zhao Z, Gao H, Liu C, Zhu L, et al. Emerging nanotechnologies for liquid biopsy: the detection of circulating tumor cells and extracellular vesicles. Adv Mater. 2019;31:e1805344.PubMedCrossRef
58.
Zurück zum Zitat Wang R, Chu GCY, Mrdenovic S, Annamalai AA, Hendifar AE, Nissen NN, et al. Cultured circulating tumor cells and their derived xenografts for personalized oncology. Asian J Urol. 2016;3:240–53.PubMedPubMedCentralCrossRef Wang R, Chu GCY, Mrdenovic S, Annamalai AA, Hendifar AE, Nissen NN, et al. Cultured circulating tumor cells and their derived xenografts for personalized oncology. Asian J Urol. 2016;3:240–53.PubMedPubMedCentralCrossRef
59.
Zurück zum Zitat Muluhngwi P, Valdes R Jr, Fernandez-Botran R, Burton E, Williams B, Linder MW. Cell-free DNA diagnostics: current and emerging applications in oncology. Pharmacogenomics. 2019;20:357–80.PubMedCrossRef Muluhngwi P, Valdes R Jr, Fernandez-Botran R, Burton E, Williams B, Linder MW. Cell-free DNA diagnostics: current and emerging applications in oncology. Pharmacogenomics. 2019;20:357–80.PubMedCrossRef
60.
Zurück zum Zitat Spindler KG. Methodological, biological and clinical aspects of circulating free DNA in metastatic colorectal cancer. Acta Oncol. 2017;56:7–16.PubMedCrossRef Spindler KG. Methodological, biological and clinical aspects of circulating free DNA in metastatic colorectal cancer. Acta Oncol. 2017;56:7–16.PubMedCrossRef
61.
Zurück zum Zitat Vymetalkova V, Cervena K, Bartu L, Vodicka P. Circulating Cell-Free DNA and Colorectal Cancer: A Systematic Review. Int J Mol Sci. 2018;19:3356.PubMedCentralCrossRef Vymetalkova V, Cervena K, Bartu L, Vodicka P. Circulating Cell-Free DNA and Colorectal Cancer: A Systematic Review. Int J Mol Sci. 2018;19:3356.PubMedCentralCrossRef
62.
Zurück zum Zitat Yang Y-C, Wang D, Jin L, Yao H-W, Zhang J-H, Wang J, Zhao X-M, Shen C-Y, Chen W, Wang X-L, et al. Circulating tumor DNA detectable in early- and late-stage colorectal cancer patients. Biosci Rep. 2018;38:BSR20180322. Yang Y-C, Wang D, Jin L, Yao H-W, Zhang J-H, Wang J, Zhao X-M, Shen C-Y, Chen W, Wang X-L, et al. Circulating tumor DNA detectable in early- and late-stage colorectal cancer patients. Biosci Rep. 2018;38:BSR20180322.
63.
Zurück zum Zitat Reinert T, Henriksen TV, Christensen E, Sharma S, Salari R, Sethi H, et al. Analysis of plasma cell-free DNA by Ultradeep sequencing in patients with stages I to III colorectal Cancer. JAMA Oncol. 2019;5:1124–31.PubMedPubMedCentralCrossRef Reinert T, Henriksen TV, Christensen E, Sharma S, Salari R, Sethi H, et al. Analysis of plasma cell-free DNA by Ultradeep sequencing in patients with stages I to III colorectal Cancer. JAMA Oncol. 2019;5:1124–31.PubMedPubMedCentralCrossRef
64.
Zurück zum Zitat Tie J, Cohen JD, Wang Y, Christie M, Simons K, Lee M, et al. Circulating tumor DNA analyses as markers of recurrence risk and benefit of adjuvant therapy for stage III Colon Cancer. JAMA Oncol. 2019;5:1710–7.PubMedPubMedCentralCrossRef Tie J, Cohen JD, Wang Y, Christie M, Simons K, Lee M, et al. Circulating tumor DNA analyses as markers of recurrence risk and benefit of adjuvant therapy for stage III Colon Cancer. JAMA Oncol. 2019;5:1710–7.PubMedPubMedCentralCrossRef
65.
Zurück zum Zitat Phallen J, Sausen M, Adleff V, Leal A, Hruban C, White J, Anagnostou V, Fiksel J, Cristiano S, Papp E, et al. Direct detection of early-stage cancers using circulating tumor DNA. Sci Transl Med. 2017;9:eaan2415. Phallen J, Sausen M, Adleff V, Leal A, Hruban C, White J, Anagnostou V, Fiksel J, Cristiano S, Papp E, et al. Direct detection of early-stage cancers using circulating tumor DNA. Sci Transl Med. 2017;9:eaan2415.
66.
Zurück zum Zitat Agah S, Akbari A, Talebi A, Masoudi M, Sarveazad A, Mirzaei A, et al. Quantification of plasma cell-free circulating DNA at different stages of colorectal Cancer. Cancer Investig. 2017;35:625–32.CrossRef Agah S, Akbari A, Talebi A, Masoudi M, Sarveazad A, Mirzaei A, et al. Quantification of plasma cell-free circulating DNA at different stages of colorectal Cancer. Cancer Investig. 2017;35:625–32.CrossRef
67.
Zurück zum Zitat Bedin C, Enzo MV, Del Bianco P, Pucciarelli S, Nitti D, Agostini M. Diagnostic and prognostic role of cell-free DNA testing for colorectal cancer patients. Int J Cancer. 2017;140:1888–98.PubMedCrossRef Bedin C, Enzo MV, Del Bianco P, Pucciarelli S, Nitti D, Agostini M. Diagnostic and prognostic role of cell-free DNA testing for colorectal cancer patients. Int J Cancer. 2017;140:1888–98.PubMedCrossRef
68.
Zurück zum Zitat Kobayashi S, Nakamura Y, Taniguchi H, Odegaard JI, Nomura S, Kojima M, et al. Impact of preoperative circulating tumor DNA status on survival outcomes after hepatectomy for Resectable colorectal liver metastases. Ann Surg Oncol. 2021;28:4744–55.PubMedCrossRef Kobayashi S, Nakamura Y, Taniguchi H, Odegaard JI, Nomura S, Kojima M, et al. Impact of preoperative circulating tumor DNA status on survival outcomes after hepatectomy for Resectable colorectal liver metastases. Ann Surg Oncol. 2021;28:4744–55.PubMedCrossRef
69.
Zurück zum Zitat Tie J, Wang Y, Cohen J, Li L, Hong W, Christie M, et al. Circulating tumor DNA dynamics and recurrence risk in patients undergoing curative intent resection of colorectal cancer liver metastases: a prospective cohort study. PLoS Med. 2021;18:e1003620.PubMedPubMedCentralCrossRef Tie J, Wang Y, Cohen J, Li L, Hong W, Christie M, et al. Circulating tumor DNA dynamics and recurrence risk in patients undergoing curative intent resection of colorectal cancer liver metastases: a prospective cohort study. PLoS Med. 2021;18:e1003620.PubMedPubMedCentralCrossRef
70.
Zurück zum Zitat Van't Erve I, Rovers KP, Constantinides A, Bolhuis K, Wassenaar EC, Lurvink RJ, et al. Detection of tumor-derived cell-free DNA from colorectal cancer peritoneal metastases in plasma and peritoneal fluid. J Pathol Clin Res. 2021;7:203–8.PubMedPubMedCentralCrossRef Van't Erve I, Rovers KP, Constantinides A, Bolhuis K, Wassenaar EC, Lurvink RJ, et al. Detection of tumor-derived cell-free DNA from colorectal cancer peritoneal metastases in plasma and peritoneal fluid. J Pathol Clin Res. 2021;7:203–8.PubMedPubMedCentralCrossRef
71.
Zurück zum Zitat Yu H, Han L, Yuan J, Sun Y. Circulating tumor cell free DNA from plasma and urine in the clinical management of colorectal cancer. Cancer Biomark. 2020;27:29–37.PubMedCrossRef Yu H, Han L, Yuan J, Sun Y. Circulating tumor cell free DNA from plasma and urine in the clinical management of colorectal cancer. Cancer Biomark. 2020;27:29–37.PubMedCrossRef
72.
Zurück zum Zitat Laird PW, Jaenisch R. The role of DNA methylation in cancer genetic and epigenetics. Annu Rev Genet. 1996;30:441–64.PubMedCrossRef Laird PW, Jaenisch R. The role of DNA methylation in cancer genetic and epigenetics. Annu Rev Genet. 1996;30:441–64.PubMedCrossRef
73.
Zurück zum Zitat Luo H, Zhao Q, Wei W, Zheng L, Yi S, Li G, Wang W, Sheng H, Pu H, Mo H, et al. Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer. Sci Transl Med. 2020;12:eaax7533. Luo H, Zhao Q, Wei W, Zheng L, Yi S, Li G, Wang W, Sheng H, Pu H, Mo H, et al. Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer. Sci Transl Med. 2020;12:eaax7533.
74.
Zurück zum Zitat Nassar FJ, Msheik ZS, Nasr RR, Temraz SN. Methylated circulating tumor DNA as a biomarker for colorectal cancer diagnosis, prognosis, and prediction. Clin Epigenetics. 2021;13:111.PubMedPubMedCentralCrossRef Nassar FJ, Msheik ZS, Nasr RR, Temraz SN. Methylated circulating tumor DNA as a biomarker for colorectal cancer diagnosis, prognosis, and prediction. Clin Epigenetics. 2021;13:111.PubMedPubMedCentralCrossRef
75.
Zurück zum Zitat Jin S, Zhu D, Shao F, Chen S, Guo Y, Li K, Wang Y, Ding R, Gao L, Ma W, et al. Efficient detection and post-surgical monitoring of colon cancer with a multi-marker DNA methylation liquid biopsy. Proc Natl Acad Sci U S A. 2021;1188:e2017421118. Jin S, Zhu D, Shao F, Chen S, Guo Y, Li K, Wang Y, Ding R, Gao L, Ma W, et al. Efficient detection and post-surgical monitoring of colon cancer with a multi-marker DNA methylation liquid biopsy. Proc Natl Acad Sci U S A. 2021;1188:e2017421118.
76.
Zurück zum Zitat Bach S, Paulis I, Sluiter NR, Tibbesma M, Martin I, van de Wiel MA, et al. Detection of colorectal cancer in urine using DNA methylation analysis. Sci Rep. 2021;11:2363.PubMedPubMedCentralCrossRef Bach S, Paulis I, Sluiter NR, Tibbesma M, Martin I, van de Wiel MA, et al. Detection of colorectal cancer in urine using DNA methylation analysis. Sci Rep. 2021;11:2363.PubMedPubMedCentralCrossRef
77.
Zurück zum Zitat Thomsen CB, Hansen TF, Andersen RF, Lindebjerg J, Jensen LH, Jakobsen A. Early identification of treatment benefit by methylated circulating tumor DNA in metastatic colorectal cancer. Ther Adv Med Oncol. 2020;12:1758835920918472.PubMedPubMedCentralCrossRef Thomsen CB, Hansen TF, Andersen RF, Lindebjerg J, Jensen LH, Jakobsen A. Early identification of treatment benefit by methylated circulating tumor DNA in metastatic colorectal cancer. Ther Adv Med Oncol. 2020;12:1758835920918472.PubMedPubMedCentralCrossRef
78.
Zurück zum Zitat Liu L, Toung JM, Jassowicz AF, Vijayaraghavan R, Kang H, Zhang R, et al. Targeted methylation sequencing of plasma cell-free DNA for cancer detection and classification. Ann Oncol. 2018;29:1445–53.PubMedPubMedCentralCrossRef Liu L, Toung JM, Jassowicz AF, Vijayaraghavan R, Kang H, Zhang R, et al. Targeted methylation sequencing of plasma cell-free DNA for cancer detection and classification. Ann Oncol. 2018;29:1445–53.PubMedPubMedCentralCrossRef
79.
Zurück zum Zitat Wu X, Zhang Y, Hu T, He X, Zou Y, Deng Q, et al. A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer. Mol Oncol. 2021;15:2702–14.PubMedPubMedCentralCrossRef Wu X, Zhang Y, Hu T, He X, Zou Y, Deng Q, et al. A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer. Mol Oncol. 2021;15:2702–14.PubMedPubMedCentralCrossRef
80.
Zurück zum Zitat Barault L, Amatu A, Siravegna G, Ponzetti A, Moran S, Cassingena A, et al. Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer. Gut. 2018;67:1995–2005.PubMedCrossRef Barault L, Amatu A, Siravegna G, Ponzetti A, Moran S, Cassingena A, et al. Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer. Gut. 2018;67:1995–2005.PubMedCrossRef
81.
Zurück zum Zitat Church TR, Wandell M, Lofton-Day C, Mongin SJ, Burger M, Payne SR, et al. Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer. Gut. 2014;63:317–25.PubMedCrossRef Church TR, Wandell M, Lofton-Day C, Mongin SJ, Burger M, Payne SR, et al. Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer. Gut. 2014;63:317–25.PubMedCrossRef
82.
Zurück zum Zitat deVos T, Tetzner R, Model F, Weiss G, Schuster M, Distler J, et al. Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin Chem. 2009;55:1337–46.PubMedCrossRef deVos T, Tetzner R, Model F, Weiss G, Schuster M, Distler J, et al. Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin Chem. 2009;55:1337–46.PubMedCrossRef
83.
Zurück zum Zitat Warren JD, Xiong W, Bunker AM, Vaughn CP, Furtado LV, Roberts WL, et al. Septin 9 methylated DNA is a sensitive and specific blood test for colorectal cancer. BMC Med. 2011;9:133.PubMedPubMedCentralCrossRef Warren JD, Xiong W, Bunker AM, Vaughn CP, Furtado LV, Roberts WL, et al. Septin 9 methylated DNA is a sensitive and specific blood test for colorectal cancer. BMC Med. 2011;9:133.PubMedPubMedCentralCrossRef
84.
Zurück zum Zitat Fakih MG. Metastatic colorectal cancer: current state and future directions. J Clin Oncol. 2015;33:1809–24.PubMedCrossRef Fakih MG. Metastatic colorectal cancer: current state and future directions. J Clin Oncol. 2015;33:1809–24.PubMedCrossRef
85.
Zurück zum Zitat Yu IS, Cheung WY. Metastatic colorectal Cancer in the era of personalized medicine: a more tailored approach to systemic therapy. Can J Gastroenterol Hepatol. 2018;2018:9450754.PubMedPubMedCentralCrossRef Yu IS, Cheung WY. Metastatic colorectal Cancer in the era of personalized medicine: a more tailored approach to systemic therapy. Can J Gastroenterol Hepatol. 2018;2018:9450754.PubMedPubMedCentralCrossRef
86.
Zurück zum Zitat Schraa SJ, van Rooijen KL, van der Kruijssen DEW, Rubio Alarcón C, Phallen J, Sausen M, et al. Circulating tumor DNA guided adjuvant chemotherapy in stage II colon cancer (MEDOCC-CrEATE): study protocol for a trial within a cohort study. BMC Cancer. 2020;20:790.PubMedPubMedCentralCrossRef Schraa SJ, van Rooijen KL, van der Kruijssen DEW, Rubio Alarcón C, Phallen J, Sausen M, et al. Circulating tumor DNA guided adjuvant chemotherapy in stage II colon cancer (MEDOCC-CrEATE): study protocol for a trial within a cohort study. BMC Cancer. 2020;20:790.PubMedPubMedCentralCrossRef
87.
Zurück zum Zitat Taniguchi H, Nakamura Y, Kotani D, Yukami H, Mishima S, Sawada K, et al. CIRCULATE-Japan: circulating tumor DNA-guided adaptive platform trials to refine adjuvant therapy for colorectal cancer. Cancer Sci. 2021;112:2915–20.PubMedPubMedCentralCrossRef Taniguchi H, Nakamura Y, Kotani D, Yukami H, Mishima S, Sawada K, et al. CIRCULATE-Japan: circulating tumor DNA-guided adaptive platform trials to refine adjuvant therapy for colorectal cancer. Cancer Sci. 2021;112:2915–20.PubMedPubMedCentralCrossRef
88.
Zurück zum Zitat French AJ, Sargent DJ, Burgart LJ, Foster NR, Kabat BF, Goldberg R, et al. Prognostic significance of defective mismatch repair and BRAF V600E in patients with colon cancer. Clin Cancer Res. 2008;14:3408–15.PubMedPubMedCentralCrossRef French AJ, Sargent DJ, Burgart LJ, Foster NR, Kabat BF, Goldberg R, et al. Prognostic significance of defective mismatch repair and BRAF V600E in patients with colon cancer. Clin Cancer Res. 2008;14:3408–15.PubMedPubMedCentralCrossRef
89.
Zurück zum Zitat Misale S, Yaeger R, Hobor S, Scala E, Janakiraman M, Liska D, et al. Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer. Nature. 2012;486:532–6.PubMedPubMedCentralCrossRef Misale S, Yaeger R, Hobor S, Scala E, Janakiraman M, Liska D, et al. Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer. Nature. 2012;486:532–6.PubMedPubMedCentralCrossRef
90.
Zurück zum Zitat Yamada T, Iwai T, Takahashi G, Kan H, Koizumi M, Matsuda A, et al. Utility of KRAS mutation detection using circulating cell-free DNA from patients with colorectal cancer. Cancer Sci. 2016;107:936–43.PubMedPubMedCentralCrossRef Yamada T, Iwai T, Takahashi G, Kan H, Koizumi M, Matsuda A, et al. Utility of KRAS mutation detection using circulating cell-free DNA from patients with colorectal cancer. Cancer Sci. 2016;107:936–43.PubMedPubMedCentralCrossRef
91.
Zurück zum Zitat Denis JA, Lacorte JM. Detection of RAS mutations in circulating tumor cells: applications in colorectal cancer and prospects. Ann Biol Clin (Paris). 2017;75:607–18. Denis JA, Lacorte JM. Detection of RAS mutations in circulating tumor cells: applications in colorectal cancer and prospects. Ann Biol Clin (Paris). 2017;75:607–18.
92.
Zurück zum Zitat Berger AW, Schwerdel D, Welz H, Marienfeld R, Schmidt SA, Kleger A, et al. Treatment monitoring in metastatic colorectal cancer patients by quantification and KRAS genotyping of circulating cell-free DNA. PLoS One. 2017;12:e0174308.PubMedPubMedCentralCrossRef Berger AW, Schwerdel D, Welz H, Marienfeld R, Schmidt SA, Kleger A, et al. Treatment monitoring in metastatic colorectal cancer patients by quantification and KRAS genotyping of circulating cell-free DNA. PLoS One. 2017;12:e0174308.PubMedPubMedCentralCrossRef
93.
Zurück zum Zitat Kim TW, Peeters M, Thomas A, Gibbs P, Hool K, Zhang J, et al. Impact of emergent circulating tumor DNA RAS mutation in Panitumumab-treated Chemoresistant metastatic colorectal Cancer. Clin Cancer Res. 2018;24:5602–9.PubMedCrossRef Kim TW, Peeters M, Thomas A, Gibbs P, Hool K, Zhang J, et al. Impact of emergent circulating tumor DNA RAS mutation in Panitumumab-treated Chemoresistant metastatic colorectal Cancer. Clin Cancer Res. 2018;24:5602–9.PubMedCrossRef
94.
Zurück zum Zitat Dumbrava EI, Call SG, Huang HJ, Stuckett AL, Madwani K, Adat A, et al. PIK3CA mutations in plasma circulating tumor DNA predict survival and treatment outcomes in patients with advanced cancers. ESMO Open. 2021;6:100230.PubMedPubMedCentralCrossRef Dumbrava EI, Call SG, Huang HJ, Stuckett AL, Madwani K, Adat A, et al. PIK3CA mutations in plasma circulating tumor DNA predict survival and treatment outcomes in patients with advanced cancers. ESMO Open. 2021;6:100230.PubMedPubMedCentralCrossRef
95.
Zurück zum Zitat Hofman P, Heeke S, Alix-Panabieres C, Pantel K. Liquid biopsy in the era of immuno-oncology: is it ready for prime-time use for cancer patients? Ann Oncol. 2019;30:1448–59.PubMedCrossRef Hofman P, Heeke S, Alix-Panabieres C, Pantel K. Liquid biopsy in the era of immuno-oncology: is it ready for prime-time use for cancer patients? Ann Oncol. 2019;30:1448–59.PubMedCrossRef
96.
Zurück zum Zitat Lipson EJ, Velculescu VE, Pritchard TS, Sausen M, Pardoll DM, Topalian SL, et al. Circulating tumor DNA analysis as a real-time method for monitoring tumor burden in melanoma patients undergoing treatment with immune checkpoint blockade. J Immunother Cancer. 2014;2:42.PubMedPubMedCentralCrossRef Lipson EJ, Velculescu VE, Pritchard TS, Sausen M, Pardoll DM, Topalian SL, et al. Circulating tumor DNA analysis as a real-time method for monitoring tumor burden in melanoma patients undergoing treatment with immune checkpoint blockade. J Immunother Cancer. 2014;2:42.PubMedPubMedCentralCrossRef
97.
Zurück zum Zitat Siravegna G, Mussolin B, Buscarino M, Corti G, Cassingena A, Crisafulli G, et al. Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients. Nat Med. 2015;21:795–801.PubMedPubMedCentralCrossRef Siravegna G, Mussolin B, Buscarino M, Corti G, Cassingena A, Crisafulli G, et al. Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients. Nat Med. 2015;21:795–801.PubMedPubMedCentralCrossRef
98.
Zurück zum Zitat Riva F, Bidard FC, Houy A, Saliou A, Madic J, Rampanou A, et al. Patient-specific circulating tumor DNA detection during Neoadjuvant chemotherapy in triple-negative breast Cancer. Clin Chem. 2017;63:691–9.PubMedCrossRef Riva F, Bidard FC, Houy A, Saliou A, Madic J, Rampanou A, et al. Patient-specific circulating tumor DNA detection during Neoadjuvant chemotherapy in triple-negative breast Cancer. Clin Chem. 2017;63:691–9.PubMedCrossRef
99.
Zurück zum Zitat Cabel L, Riva F, Servois V, Livartowski A, Daniel C, Rampanou A, et al. Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study. Ann Oncol. 2017;28:1996–2001.PubMedCrossRef Cabel L, Riva F, Servois V, Livartowski A, Daniel C, Rampanou A, et al. Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study. Ann Oncol. 2017;28:1996–2001.PubMedCrossRef
100.
Zurück zum Zitat Kitahara M, Hazama S, Tsunedomi R, Takenouchi H, Kanekiyo S, Inoue Y, et al. Prediction of the efficacy of immunotherapy by measuring the integrity of cell-free DNA in plasma in colorectal cancer. Cancer Sci. 2016;107:1825–9.PubMedPubMedCentralCrossRef Kitahara M, Hazama S, Tsunedomi R, Takenouchi H, Kanekiyo S, Inoue Y, et al. Prediction of the efficacy of immunotherapy by measuring the integrity of cell-free DNA in plasma in colorectal cancer. Cancer Sci. 2016;107:1825–9.PubMedPubMedCentralCrossRef
101.
Zurück zum Zitat Willis J, Lefterova MI, Artyomenko A, Kasi PM, Nakamura Y, Mody K, et al. Validation of microsatellite instability detection using a comprehensive plasma-based genotyping panel. Clin Cancer Res. 2019;25:7035–45.PubMedCrossRef Willis J, Lefterova MI, Artyomenko A, Kasi PM, Nakamura Y, Mody K, et al. Validation of microsatellite instability detection using a comprehensive plasma-based genotyping panel. Clin Cancer Res. 2019;25:7035–45.PubMedCrossRef
102.
Zurück zum Zitat Tieng FYF, Abu N, Lee L-H, Ab Mutalib N-S. Microsatellite Instability in Colorectal Cancer Liquid Biopsy-Current Updates on Its Potential in Non-Invasive Detection, Prognosis and as a Predictive Marker. Diagnostics (Basel, Switzerland). 2021;11:544.PubMedCentral Tieng FYF, Abu N, Lee L-H, Ab Mutalib N-S. Microsatellite Instability in Colorectal Cancer Liquid Biopsy-Current Updates on Its Potential in Non-Invasive Detection, Prognosis and as a Predictive Marker. Diagnostics (Basel, Switzerland). 2021;11:544.PubMedCentral
103.
Zurück zum Zitat Chan TA, Yarchoan M, Jaffee E, Swanton C, Quezada SA, Stenzinger A, et al. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann Oncol. 2019;30:44–56.PubMedCrossRef Chan TA, Yarchoan M, Jaffee E, Swanton C, Quezada SA, Stenzinger A, et al. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann Oncol. 2019;30:44–56.PubMedCrossRef
104.
Zurück zum Zitat Goodman AM, Kato S, Bazhenova L, Patel SP, Frampton GM, Miller V, et al. Tumor mutational burden as an independent predictor of response to immunotherapy in diverse cancers. Mol Cancer Ther. 2017;16:2598–608.PubMedPubMedCentralCrossRef Goodman AM, Kato S, Bazhenova L, Patel SP, Frampton GM, Miller V, et al. Tumor mutational burden as an independent predictor of response to immunotherapy in diverse cancers. Mol Cancer Ther. 2017;16:2598–608.PubMedPubMedCentralCrossRef
105.
Zurück zum Zitat Bardelli A, Pantel K. Liquid biopsies, what we do not know (yet). Cancer Cell. 2017;31:172–9.PubMedCrossRef Bardelli A, Pantel K. Liquid biopsies, what we do not know (yet). Cancer Cell. 2017;31:172–9.PubMedCrossRef
106.
Zurück zum Zitat Zhang BO, Xu CW, Shao Y, Wang HT, Wu YF, Song YY, et al. Comparison of droplet digital PCR and conventional quantitative PCR for measuring EGFR gene mutation. Exp Ther Med. 2015;9:1383–8.PubMedPubMedCentralCrossRef Zhang BO, Xu CW, Shao Y, Wang HT, Wu YF, Song YY, et al. Comparison of droplet digital PCR and conventional quantitative PCR for measuring EGFR gene mutation. Exp Ther Med. 2015;9:1383–8.PubMedPubMedCentralCrossRef
107.
Zurück zum Zitat Markou A, Tzanikou E, Ladas I, Makrigiorgos GM, Lianidou E. Nuclease-assisted minor allele enrichment using overlapping probes-assisted amplification-refractory mutation system: an approach for the improvement of amplification-refractory mutation system-polymerase chain reaction specificity in liquid biopsies. Anal Chem. 2019;91:13105–11.PubMedPubMedCentralCrossRef Markou A, Tzanikou E, Ladas I, Makrigiorgos GM, Lianidou E. Nuclease-assisted minor allele enrichment using overlapping probes-assisted amplification-refractory mutation system: an approach for the improvement of amplification-refractory mutation system-polymerase chain reaction specificity in liquid biopsies. Anal Chem. 2019;91:13105–11.PubMedPubMedCentralCrossRef
108.
Zurück zum Zitat Lang AH, Drexel H, Geller-Rhomberg S, Stark N, Winder T, Geiger K, et al. Optimized allele-specific real-time PCR assays for the detection of common mutations in KRAS and BRAF. J Mol Diagn. 2011;13:23–8.PubMedPubMedCentralCrossRef Lang AH, Drexel H, Geller-Rhomberg S, Stark N, Winder T, Geiger K, et al. Optimized allele-specific real-time PCR assays for the detection of common mutations in KRAS and BRAF. J Mol Diagn. 2011;13:23–8.PubMedPubMedCentralCrossRef
109.
Zurück zum Zitat Forshew T, Murtaza M, Parkinson C, Gale D, Tsui DW, Kaper F, Dawson SJ, Piskorz AM, Jimenez-Linan M, Bentley D, et al. Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA. Sci Transl Med. 2012;4:136ra168. Forshew T, Murtaza M, Parkinson C, Gale D, Tsui DW, Kaper F, Dawson SJ, Piskorz AM, Jimenez-Linan M, Bentley D, et al. Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA. Sci Transl Med. 2012;4:136ra168.
110.
Zurück zum Zitat Kinde I, Wu J, Papadopoulos N, Kinzler KW, Vogelstein B. Detection and quantification of rare mutations with massively parallel sequencing. Proc Natl Acad Sci U S A. 2011;108:9530–5.PubMedPubMedCentralCrossRef Kinde I, Wu J, Papadopoulos N, Kinzler KW, Vogelstein B. Detection and quantification of rare mutations with massively parallel sequencing. Proc Natl Acad Sci U S A. 2011;108:9530–5.PubMedPubMedCentralCrossRef
111.
Zurück zum Zitat Newman AM, Bratman SV, To J, Wynne JF, Eclov NC, Modlin LA, et al. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nat Med. 2014;20:548–54.PubMedPubMedCentralCrossRef Newman AM, Bratman SV, To J, Wynne JF, Eclov NC, Modlin LA, et al. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nat Med. 2014;20:548–54.PubMedPubMedCentralCrossRef
112.
Zurück zum Zitat Corcoran RB, Chabner BA. Application of cell-free DNA analysis to Cancer treatment. N Engl J Med. 2018;379:1754–65.PubMedCrossRef Corcoran RB, Chabner BA. Application of cell-free DNA analysis to Cancer treatment. N Engl J Med. 2018;379:1754–65.PubMedCrossRef
113.
Zurück zum Zitat Elazezy M, Joosse SA. Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management. Comput Struct Biotechnol J. 2018;16:370–8.PubMedPubMedCentralCrossRef Elazezy M, Joosse SA. Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management. Comput Struct Biotechnol J. 2018;16:370–8.PubMedPubMedCentralCrossRef
114.
Zurück zum Zitat van der Pol Y, Mouliere F. Toward the early detection of Cancer by decoding the epigenetic and environmental fingerprints of cell-free DNA. Cancer Cell. 2019;36:350–68.PubMedCrossRef van der Pol Y, Mouliere F. Toward the early detection of Cancer by decoding the epigenetic and environmental fingerprints of cell-free DNA. Cancer Cell. 2019;36:350–68.PubMedCrossRef
115.
Zurück zum Zitat Zhang H, Liu R, Yan C, Liu L, Tong Z, Jiang W, et al. Advantage of next-generation sequencing in dynamic monitoring of circulating tumor DNA over droplet digital PCR in Cetuximab treated colorectal Cancer patients. Transl Oncol. 2019;12:426–31.PubMedCrossRef Zhang H, Liu R, Yan C, Liu L, Tong Z, Jiang W, et al. Advantage of next-generation sequencing in dynamic monitoring of circulating tumor DNA over droplet digital PCR in Cetuximab treated colorectal Cancer patients. Transl Oncol. 2019;12:426–31.PubMedCrossRef
117.
Zurück zum Zitat Ye P, Cai P, Xie J, Wei Y. The diagnostic accuracy of digital PCR, ARMS and NGS for detecting KRAS mutation in cell-free DNA of patients with colorectal cancer: a systematic review and meta-analysis. PLoS One. 2021;16:e0248775.PubMedPubMedCentralCrossRef Ye P, Cai P, Xie J, Wei Y. The diagnostic accuracy of digital PCR, ARMS and NGS for detecting KRAS mutation in cell-free DNA of patients with colorectal cancer: a systematic review and meta-analysis. PLoS One. 2021;16:e0248775.PubMedPubMedCentralCrossRef
119.
Zurück zum Zitat Sadik N, Cruz L, Gurtner A, Rodosthenous RS, Dusoswa SA, Ziegler O, et al. Extracellular RNAs: a new awareness of old perspectives. Methods Mol Biol. 2018;1740:1–15.PubMedPubMedCentralCrossRef Sadik N, Cruz L, Gurtner A, Rodosthenous RS, Dusoswa SA, Ziegler O, et al. Extracellular RNAs: a new awareness of old perspectives. Methods Mol Biol. 2018;1740:1–15.PubMedPubMedCentralCrossRef
120.
Zurück zum Zitat Oliveira GP, Jr., Zigon E, Rogers G, Davodian D, Lu S, Jovanovic-Talisman T, Jones J, Tigges J, Tyagi S, Ghiran IC. Detection of Extracellular Vesicle RNA Using Molecular Beacons. iScience. 2020;23:100782. Oliveira GP, Jr., Zigon E, Rogers G, Davodian D, Lu S, Jovanovic-Talisman T, Jones J, Tigges J, Tyagi S, Ghiran IC. Detection of Extracellular Vesicle RNA Using Molecular Beacons. iScience. 2020;23:100782.
121.
Zurück zum Zitat Gusachenko ON, Zenkova MA, Vlassov VV. Nucleic acids in exosomes: disease markers and intercellular communication molecules. Biochemistry (Mosc). 2013;78:1–7.CrossRef Gusachenko ON, Zenkova MA, Vlassov VV. Nucleic acids in exosomes: disease markers and intercellular communication molecules. Biochemistry (Mosc). 2013;78:1–7.CrossRef
122.
Zurück zum Zitat Colombo M, Raposo G, Théry C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu Rev Cell Dev Biol. 2014;30:255–89.PubMedCrossRef Colombo M, Raposo G, Théry C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu Rev Cell Dev Biol. 2014;30:255–89.PubMedCrossRef
123.
Zurück zum Zitat Wang J, Yan F, Zhao Q, Zhan F, Wang R, Wang L, et al. Circulating exosomal miR-125a-3p as a novel biomarker for early-stage colon cancer. Sci Rep. 2017;7:4150.PubMedPubMedCentralCrossRef Wang J, Yan F, Zhao Q, Zhan F, Wang R, Wang L, et al. Circulating exosomal miR-125a-3p as a novel biomarker for early-stage colon cancer. Sci Rep. 2017;7:4150.PubMedPubMedCentralCrossRef
124.
Zurück zum Zitat Matsumura T, Sugimachi K, Iinuma H, Takahashi Y, Kurashige J, Sawada G, et al. Exosomal microRNA in serum is a novel biomarker of recurrence in human colorectal cancer. Br J Cancer. 2015;113:275–81.PubMedPubMedCentralCrossRef Matsumura T, Sugimachi K, Iinuma H, Takahashi Y, Kurashige J, Sawada G, et al. Exosomal microRNA in serum is a novel biomarker of recurrence in human colorectal cancer. Br J Cancer. 2015;113:275–81.PubMedPubMedCentralCrossRef
125.
Zurück zum Zitat Liu X, Pan B, Sun L, Chen X, Zeng K, Hu X, et al. Circulating Exosomal miR-27a and miR-130a act as novel diagnostic and prognostic biomarkers of colorectal Cancer. Cancer Epidemiol Biomark Prev. 2018;27:746–54.CrossRef Liu X, Pan B, Sun L, Chen X, Zeng K, Hu X, et al. Circulating Exosomal miR-27a and miR-130a act as novel diagnostic and prognostic biomarkers of colorectal Cancer. Cancer Epidemiol Biomark Prev. 2018;27:746–54.CrossRef
126.
Zurück zum Zitat Wei R, Chen L, Qin D, Guo Q, Zhu S, Li P, et al. Liquid biopsy of extracellular vesicle-derived miR-193a-5p in colorectal Cancer and discovery of its tumor-suppressor functions. Front Oncol. 2020;10:1372.PubMedPubMedCentralCrossRef Wei R, Chen L, Qin D, Guo Q, Zhu S, Li P, et al. Liquid biopsy of extracellular vesicle-derived miR-193a-5p in colorectal Cancer and discovery of its tumor-suppressor functions. Front Oncol. 2020;10:1372.PubMedPubMedCentralCrossRef
127.
Zurück zum Zitat Kou CH, Zhou T, Han XL, Zhuang HJ, Qian HX. Downregulation of mir-23b in plasma is associated with poor prognosis in patients with colorectal cancer. Oncol Lett. 2016;12:4838–44.PubMedPubMedCentralCrossRef Kou CH, Zhou T, Han XL, Zhuang HJ, Qian HX. Downregulation of mir-23b in plasma is associated with poor prognosis in patients with colorectal cancer. Oncol Lett. 2016;12:4838–44.PubMedPubMedCentralCrossRef
128.
Zurück zum Zitat Zhao YJ, Song X, Niu L, Tang Y, Song X, Xie L. Circulating Exosomal miR-150-5p and miR-99b-5p as diagnostic biomarkers for colorectal Cancer. Front Oncol. 2019;9:1129.PubMedPubMedCentralCrossRef Zhao YJ, Song X, Niu L, Tang Y, Song X, Xie L. Circulating Exosomal miR-150-5p and miR-99b-5p as diagnostic biomarkers for colorectal Cancer. Front Oncol. 2019;9:1129.PubMedPubMedCentralCrossRef
129.
Zurück zum Zitat Wang Q, Huang Z, Ni S, Xiao X, Xu Q, Wang L, et al. Plasma miR-601 and miR-760 are novel biomarkers for the early detection of colorectal cancer. PLoS One. 2012;7:e44398.PubMedPubMedCentralCrossRef Wang Q, Huang Z, Ni S, Xiao X, Xu Q, Wang L, et al. Plasma miR-601 and miR-760 are novel biomarkers for the early detection of colorectal cancer. PLoS One. 2012;7:e44398.PubMedPubMedCentralCrossRef
130.
Zurück zum Zitat Hu HY, Yu CH, Zhang HH, Zhang SZ, Yu WY, Yang Y, et al. Exosomal miR-1229 derived from colorectal cancer cells promotes angiogenesis by targeting HIPK2. Int J Biol Macromol. 2019;132:470–7.PubMedCrossRef Hu HY, Yu CH, Zhang HH, Zhang SZ, Yu WY, Yang Y, et al. Exosomal miR-1229 derived from colorectal cancer cells promotes angiogenesis by targeting HIPK2. Int J Biol Macromol. 2019;132:470–7.PubMedCrossRef
131.
Zurück zum Zitat Fu F, Jiang W, Zhou L, Chen Z. Circulating Exosomal miR-17-5p and miR-92a-3p predict pathologic stage and grade of colorectal Cancer. Transl Oncol. 2018;11:221–32.PubMedPubMedCentralCrossRef Fu F, Jiang W, Zhou L, Chen Z. Circulating Exosomal miR-17-5p and miR-92a-3p predict pathologic stage and grade of colorectal Cancer. Transl Oncol. 2018;11:221–32.PubMedPubMedCentralCrossRef
132.
Zurück zum Zitat Yan S, Han B, Gao S, Wang X, Wang Z, Wang F, et al. Exosome-encapsulated microRNAs as circulating biomarkers for colorectal cancer. Oncotarget. 2017;8:60149–58.PubMedPubMedCentralCrossRef Yan S, Han B, Gao S, Wang X, Wang Z, Wang F, et al. Exosome-encapsulated microRNAs as circulating biomarkers for colorectal cancer. Oncotarget. 2017;8:60149–58.PubMedPubMedCentralCrossRef
133.
Zurück zum Zitat Peng ZY, Gu RH, Yan B. Downregulation of exosome-encapsulated miR-548c-5p is associated with poor prognosis in colorectal cancer. J Cell Biochem. 2018;120:1457–63.CrossRef Peng ZY, Gu RH, Yan B. Downregulation of exosome-encapsulated miR-548c-5p is associated with poor prognosis in colorectal cancer. J Cell Biochem. 2018;120:1457–63.CrossRef
134.
Zurück zum Zitat Sun H, Meng Q, Shi C, Yang H, Li X, Wu S, et al. Hypoxia-inducible Exosomes facilitate liver-tropic Premetastatic niche in colorectal Cancer. Hepatology. 2021;74:2633–51.PubMedCrossRef Sun H, Meng Q, Shi C, Yang H, Li X, Wu S, et al. Hypoxia-inducible Exosomes facilitate liver-tropic Premetastatic niche in colorectal Cancer. Hepatology. 2021;74:2633–51.PubMedCrossRef
135.
Zurück zum Zitat Tanaka S, Hosokawa M, Miyamoto T, Nakagawa A, Haruna M, Ueda K, et al. miR-33a-5p in small extracellular vesicles as non-invasive biomarker for oxaliplatin sensitivity in human colorectal cancer cells. Biochem Biophys Rep. 2021;26:100996.PubMedPubMedCentral Tanaka S, Hosokawa M, Miyamoto T, Nakagawa A, Haruna M, Ueda K, et al. miR-33a-5p in small extracellular vesicles as non-invasive biomarker for oxaliplatin sensitivity in human colorectal cancer cells. Biochem Biophys Rep. 2021;26:100996.PubMedPubMedCentral
136.
Zurück zum Zitat Ning T, Li J, He Y, Zhang H, Wang X, Deng T, et al. Exosomal miR-208b related with oxaliplatin resistance promotes Treg expansion in colorectal cancer. Mol Ther. 2021;29:2723–36.PubMedCrossRef Ning T, Li J, He Y, Zhang H, Wang X, Deng T, et al. Exosomal miR-208b related with oxaliplatin resistance promotes Treg expansion in colorectal cancer. Mol Ther. 2021;29:2723–36.PubMedCrossRef
137.
Zurück zum Zitat Han J, Sun W, Liu R, Zhou Z, Zhang H, Chen X, et al. Plasma Exosomal miRNA expression profile as Oxaliplatin-based Chemoresistant biomarkers in colorectal adenocarcinoma. Front Oncol. 2020;10:1495.PubMedPubMedCentralCrossRef Han J, Sun W, Liu R, Zhou Z, Zhang H, Chen X, et al. Plasma Exosomal miRNA expression profile as Oxaliplatin-based Chemoresistant biomarkers in colorectal adenocarcinoma. Front Oncol. 2020;10:1495.PubMedPubMedCentralCrossRef
138.
Zurück zum Zitat Bjørnetrø T, Redalen KR, Meltzer S, Thusyanthan NS, Samiappan R, Jegerschöld C, et al. An experimental strategy unveiling exosomal microRNAs 486-5p, 181a-5p and 30d-5p from hypoxic tumour cells as circulating indicators of high-risk rectal cancer. J Extracell Vesicles. 2019;8:1567219.PubMedPubMedCentralCrossRef Bjørnetrø T, Redalen KR, Meltzer S, Thusyanthan NS, Samiappan R, Jegerschöld C, et al. An experimental strategy unveiling exosomal microRNAs 486-5p, 181a-5p and 30d-5p from hypoxic tumour cells as circulating indicators of high-risk rectal cancer. J Extracell Vesicles. 2019;8:1567219.PubMedPubMedCentralCrossRef
139.
Zurück zum Zitat Ge L, Zhou F, Nie J, Wang X, Zhao Q. Hypoxic colorectal cancer-secreted exosomes deliver miR-210-3p to normoxic tumor cells to elicit a protumoral effect. Exp Biol Med (Maywood). 2021;246:1895–906.CrossRef Ge L, Zhou F, Nie J, Wang X, Zhao Q. Hypoxic colorectal cancer-secreted exosomes deliver miR-210-3p to normoxic tumor cells to elicit a protumoral effect. Exp Biol Med (Maywood). 2021;246:1895–906.CrossRef
140.
Zurück zum Zitat Hu D, Zhan Y, Zhu K, Bai M, Han J, Si Y, et al. Plasma Exosomal long non-coding RNAs serve as biomarkers for early detection of colorectal Cancer. Cell Physiol Biochem. 2018;51:2704–15.PubMedCrossRef Hu D, Zhan Y, Zhu K, Bai M, Han J, Si Y, et al. Plasma Exosomal long non-coding RNAs serve as biomarkers for early detection of colorectal Cancer. Cell Physiol Biochem. 2018;51:2704–15.PubMedCrossRef
141.
Zurück zum Zitat Yu M, Song XG, Zhao YJ, Dong XH, Niu LM, Zhang ZJ, et al. Circulating serum Exosomal long non-coding RNAs FOXD2-AS1, NRIR, and XLOC_009459 AS diagnostic biomarkers for colorectal Cancer. Front Oncol. 2021;11:618967.PubMedPubMedCentralCrossRef Yu M, Song XG, Zhao YJ, Dong XH, Niu LM, Zhang ZJ, et al. Circulating serum Exosomal long non-coding RNAs FOXD2-AS1, NRIR, and XLOC_009459 AS diagnostic biomarkers for colorectal Cancer. Front Oncol. 2021;11:618967.PubMedPubMedCentralCrossRef
142.
Zurück zum Zitat Yin H, Hu J, Ye Z, Chen S, Chen Y. Serum long non-coding RNA NNT-AS1 protected by exosome is a potential biomarkerand functions as an oncogene via the miR-496/RAP2C axis in colorectal cancer. Mol Med Rep. 2021;24:585.PubMedPubMedCentralCrossRef Yin H, Hu J, Ye Z, Chen S, Chen Y. Serum long non-coding RNA NNT-AS1 protected by exosome is a potential biomarkerand functions as an oncogene via the miR-496/RAP2C axis in colorectal cancer. Mol Med Rep. 2021;24:585.PubMedPubMedCentralCrossRef
143.
Zurück zum Zitat Ren J, Ding L, Zhang D, Shi G, Xu Q, Shen S, et al. Carcinoma-associated fibroblasts promote the stemness and chemoresistance of colorectal cancer by transferring exosomal lncRNA H19. Theranostics. 2018;8:3932–48.PubMedPubMedCentralCrossRef Ren J, Ding L, Zhang D, Shi G, Xu Q, Shen S, et al. Carcinoma-associated fibroblasts promote the stemness and chemoresistance of colorectal cancer by transferring exosomal lncRNA H19. Theranostics. 2018;8:3932–48.PubMedPubMedCentralCrossRef
144.
Zurück zum Zitat Deng X, Ruan H, Zhang X, Xu X, Zhu Y, Peng H, et al. Long noncoding RNA CCAL transferred from fibroblasts by exosomes promotes chemoresistance of colorectal cancer cells. Int J Cancer. 2020;146:1700–16.PubMedCrossRef Deng X, Ruan H, Zhang X, Xu X, Zhu Y, Peng H, et al. Long noncoding RNA CCAL transferred from fibroblasts by exosomes promotes chemoresistance of colorectal cancer cells. Int J Cancer. 2020;146:1700–16.PubMedCrossRef
145.
Zurück zum Zitat Yang YN, Zhang R, Du JW, Yuan HH, Li YJ, Wei XL, et al. Predictive role of UCA1-containing exosomes in cetuximab-resistant colorectal cancer. Cancer Cell Int. 2018;18:164.PubMedPubMedCentralCrossRef Yang YN, Zhang R, Du JW, Yuan HH, Li YJ, Wei XL, et al. Predictive role of UCA1-containing exosomes in cetuximab-resistant colorectal cancer. Cancer Cell Int. 2018;18:164.PubMedPubMedCentralCrossRef
146.
Zurück zum Zitat Chen X, Liu Y, Zhang Q, Liu B, Cheng Y, Zhang Y, et al. Exosomal long non-coding RNA HOTTIP increases resistance of colorectal Cancer cells to Mitomycin via impairing MiR-214-mediated degradation of KPNA3. Front Cell Dev Biol. 2020;8:582723.PubMedCrossRef Chen X, Liu Y, Zhang Q, Liu B, Cheng Y, Zhang Y, et al. Exosomal long non-coding RNA HOTTIP increases resistance of colorectal Cancer cells to Mitomycin via impairing MiR-214-mediated degradation of KPNA3. Front Cell Dev Biol. 2020;8:582723.PubMedCrossRef
147.
Zurück zum Zitat Pan B, Qin J, Liu X, He B, Wang X, Pan Y, et al. Identification of serum Exosomal hsa-circ-0004771 as a novel diagnostic biomarker of colorectal Cancer. Front Genet. 2019;10:1096.PubMedPubMedCentralCrossRef Pan B, Qin J, Liu X, He B, Wang X, Pan Y, et al. Identification of serum Exosomal hsa-circ-0004771 as a novel diagnostic biomarker of colorectal Cancer. Front Genet. 2019;10:1096.PubMedPubMedCentralCrossRef
148.
Zurück zum Zitat Li Y, Li C, Xu R, Wang Y, Li D, Zhang B. A novel circFMN2 promotes tumor proliferation in CRC by regulating the miR-1182/hTERT signaling pathways. Clin Sci (Lond). 2019;133:2463–79.CrossRef Li Y, Li C, Xu R, Wang Y, Li D, Zhang B. A novel circFMN2 promotes tumor proliferation in CRC by regulating the miR-1182/hTERT signaling pathways. Clin Sci (Lond). 2019;133:2463–79.CrossRef
149.
Zurück zum Zitat Yang H, Zhang H, Yang Y, Wang X, Deng T, Liu R, et al. Hypoxia induced exosomal circRNA promotes metastasis of colorectal Cancer via targeting GEF-H1/RhoA axis. Theranostics. 2020;10:8211–26.PubMedPubMedCentralCrossRef Yang H, Zhang H, Yang Y, Wang X, Deng T, Liu R, et al. Hypoxia induced exosomal circRNA promotes metastasis of colorectal Cancer via targeting GEF-H1/RhoA axis. Theranostics. 2020;10:8211–26.PubMedPubMedCentralCrossRef
150.
Zurück zum Zitat Shang A, Gu C, Wang W, Wang X, Sun J, Zeng B, et al. Exosomal circPACRGL promotes progression of colorectal cancer via the miR-142-3p/miR-506-3p- TGF-β1 axis. Mol Cancer. 2020;19:117.PubMedPubMedCentralCrossRef Shang A, Gu C, Wang W, Wang X, Sun J, Zeng B, et al. Exosomal circPACRGL promotes progression of colorectal cancer via the miR-142-3p/miR-506-3p- TGF-β1 axis. Mol Cancer. 2020;19:117.PubMedPubMedCentralCrossRef
151.
Zurück zum Zitat Zhao H, Chen S, Fu Q. Exosomes from CD133(+) cells carrying circ-ABCC1 mediate cell stemness and metastasis in colorectal cancer. J Cell Biochem. 2020;121:3286–97.PubMedCrossRef Zhao H, Chen S, Fu Q. Exosomes from CD133(+) cells carrying circ-ABCC1 mediate cell stemness and metastasis in colorectal cancer. J Cell Biochem. 2020;121:3286–97.PubMedCrossRef
152.
Zurück zum Zitat Xu Y, Qiu A, Peng F, Tan X, Wang J, Gong X. Exosomal transfer of circular RNA FBXW7 ameliorates the chemoresistance to oxaliplatin in colorectal cancer by sponging miR-18b-5p. Neoplasma. 2021;68:108–18.PubMedCrossRef Xu Y, Qiu A, Peng F, Tan X, Wang J, Gong X. Exosomal transfer of circular RNA FBXW7 ameliorates the chemoresistance to oxaliplatin in colorectal cancer by sponging miR-18b-5p. Neoplasma. 2021;68:108–18.PubMedCrossRef
153.
Zurück zum Zitat Zhao K, Cheng X, Ye Z, Li Y, Peng W, Wu Y, et al. Exosome-mediated transfer of circ_0000338 enhances 5-fluorouracil resistance in colorectal Cancer through regulating MicroRNA 217 (miR-217) and miR-485-3p. Mol Cell Biol. 2021;41(5):e00517–20. Zhao K, Cheng X, Ye Z, Li Y, Peng W, Wu Y, et al. Exosome-mediated transfer of circ_0000338 enhances 5-fluorouracil resistance in colorectal Cancer through regulating MicroRNA 217 (miR-217) and miR-485-3p. Mol Cell Biol. 2021;41(5):e00517–20.
154.
Zurück zum Zitat Wang X, Zhang H, Yang H, Bai M, Ning T, Deng T, et al. Exosome-delivered circRNA promotes glycolysis to induce chemoresistance through the miR-122-PKM2 axis in colorectal cancer. Mol Oncol. 2020;14:539–55.PubMedPubMedCentralCrossRef Wang X, Zhang H, Yang H, Bai M, Ning T, Deng T, et al. Exosome-delivered circRNA promotes glycolysis to induce chemoresistance through the miR-122-PKM2 axis in colorectal cancer. Mol Oncol. 2020;14:539–55.PubMedPubMedCentralCrossRef
155.
Zurück zum Zitat Sun B, Li Y, Zhou Y, Ng TK, Zhao C, Gan Q, et al. Circulating exosomal CPNE3 as a diagnostic and prognostic biomarker for colorectal cancer. J Cell Physiol. 2019;234:1416–25.PubMedCrossRef Sun B, Li Y, Zhou Y, Ng TK, Zhao C, Gan Q, et al. Circulating exosomal CPNE3 as a diagnostic and prognostic biomarker for colorectal cancer. J Cell Physiol. 2019;234:1416–25.PubMedCrossRef
156.
Zurück zum Zitat Ganig N, Baenke F, Thepkaysone ML, Lin K, Rao VS, Wong FC, et al. Proteomic analyses of fibroblast- and serum-derived Exosomes identify QSOX1 as a marker for non-invasive detection of colorectal Cancer. Cancers (Basel). 2021;13(6):1351.PubMedPubMedCentralCrossRef Ganig N, Baenke F, Thepkaysone ML, Lin K, Rao VS, Wong FC, et al. Proteomic analyses of fibroblast- and serum-derived Exosomes identify QSOX1 as a marker for non-invasive detection of colorectal Cancer. Cancers (Basel). 2021;13(6):1351.PubMedPubMedCentralCrossRef
157.
Zurück zum Zitat Yun CW, Lee JH, Go G, Jeon J, Yoon S, Lee SH. Prion protein of extracellular vesicle regulates the progression of colorectal Cancer. Cancers (Basel). 2021;13(9):2144.PubMedPubMedCentralCrossRef Yun CW, Lee JH, Go G, Jeon J, Yoon S, Lee SH. Prion protein of extracellular vesicle regulates the progression of colorectal Cancer. Cancers (Basel). 2021;13(9):2144.PubMedPubMedCentralCrossRef
158.
Zurück zum Zitat Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–97.PubMedCrossRef Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–97.PubMedCrossRef
159.
160.
Zurück zum Zitat Suzuki HI, Katsura A, Matsuyama H, Miyazono K. MicroRNA regulons in tumor microenvironment. Oncogene. 2015;34:3085–94.PubMedCrossRef Suzuki HI, Katsura A, Matsuyama H, Miyazono K. MicroRNA regulons in tumor microenvironment. Oncogene. 2015;34:3085–94.PubMedCrossRef
161.
Zurück zum Zitat Matsuzaki J, Ochiya T. Circulating microRNAs and extracellular vesicles as potential cancer biomarkers: a systematic review. Int J Clin Oncol. 2017;22:413–20.PubMedCrossRef Matsuzaki J, Ochiya T. Circulating microRNAs and extracellular vesicles as potential cancer biomarkers: a systematic review. Int J Clin Oncol. 2017;22:413–20.PubMedCrossRef
162.
Zurück zum Zitat Yoshioka Y, Kosaka N, Konishi Y, Ohta H, Okamoto H, Sonoda H, et al. Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreen. Nat Commun. 2014;5:3591.PubMedCrossRef Yoshioka Y, Kosaka N, Konishi Y, Ohta H, Okamoto H, Sonoda H, et al. Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreen. Nat Commun. 2014;5:3591.PubMedCrossRef
163.
Zurück zum Zitat Alves Dos Santos K, Clemente Dos Santos IC, Santos Silva C, Gomes Ribeiro H, de Farias Domingos I, Nogueira Silbiger V. Circulating Exosomal miRNAs as Biomarkers for the Diagnosis and Prognosis of Colorectal Cancer. Int J Mol Sci. 2020;22(1):346. Alves Dos Santos K, Clemente Dos Santos IC, Santos Silva C, Gomes Ribeiro H, de Farias Domingos I, Nogueira Silbiger V. Circulating Exosomal miRNAs as Biomarkers for the Diagnosis and Prognosis of Colorectal Cancer. Int J Mol Sci. 2020;22(1):346.
164.
Zurück zum Zitat Maleki M, Golchin A, Javadi S, Khelghati N, Morovat P, Asemi Z, et al. Role of exosomal miRNA in chemotherapy resistance of colorectal cancer: a systematic review. Chem Biol Drug Des. 2021. Online ahead of print. Maleki M, Golchin A, Javadi S, Khelghati N, Morovat P, Asemi Z, et al. Role of exosomal miRNA in chemotherapy resistance of colorectal cancer: a systematic review. Chem Biol Drug Des. 2021. Online ahead of print.
165.
Zurück zum Zitat Cai J, Zuo X, Chen Z, Zhang Y, Wang J, Wang J, et al. Long noncoding RNAs serve as potential diagnostic biomarkers for colorectal Cancer. J Cancer. 2019;10:611–9.PubMedPubMedCentralCrossRef Cai J, Zuo X, Chen Z, Zhang Y, Wang J, Wang J, et al. Long noncoding RNAs serve as potential diagnostic biomarkers for colorectal Cancer. J Cancer. 2019;10:611–9.PubMedPubMedCentralCrossRef
166.
Zurück zum Zitat Tan SK, Pastori C, Penas C, Komotar RJ, Ivan ME, Wahlestedt C, et al. Serum long noncoding RNA HOTAIR as a novel diagnostic and prognostic biomarker in glioblastoma multiforme. Mol Cancer. 2018;17:74.PubMedPubMedCentralCrossRef Tan SK, Pastori C, Penas C, Komotar RJ, Ivan ME, Wahlestedt C, et al. Serum long noncoding RNA HOTAIR as a novel diagnostic and prognostic biomarker in glioblastoma multiforme. Mol Cancer. 2018;17:74.PubMedPubMedCentralCrossRef
167.
Zurück zum Zitat Oehme F, Krahl S, Gyorffy B, Muessle B, Rao V, Greif H, et al. Low level of exosomal long non-coding RNA HOTTIP is a prognostic biomarker in colorectal cancer. RNA Biol. 2019;16:1339–45.PubMedPubMedCentralCrossRef Oehme F, Krahl S, Gyorffy B, Muessle B, Rao V, Greif H, et al. Low level of exosomal long non-coding RNA HOTTIP is a prognostic biomarker in colorectal cancer. RNA Biol. 2019;16:1339–45.PubMedPubMedCentralCrossRef
168.
Zurück zum Zitat Han B, Chao J, Yao H. Circular RNA and its mechanisms in disease: from the bench to the clinic. Pharmacol Ther. 2018;187:31–44.PubMedCrossRef Han B, Chao J, Yao H. Circular RNA and its mechanisms in disease: from the bench to the clinic. Pharmacol Ther. 2018;187:31–44.PubMedCrossRef
172.
Zurück zum Zitat Liu S, Wu M, Peng M. Circ_0000260 regulates the development and deterioration of gastric adenocarcinoma with cisplatin resistance by Upregulating MMP11 via targeting MiR-129-5p. Cancer Manag Res. 2020;12:10505–19.PubMedPubMedCentralCrossRef Liu S, Wu M, Peng M. Circ_0000260 regulates the development and deterioration of gastric adenocarcinoma with cisplatin resistance by Upregulating MMP11 via targeting MiR-129-5p. Cancer Manag Res. 2020;12:10505–19.PubMedPubMedCentralCrossRef
173.
Zurück zum Zitat Zhong Y, Wang D, Ding Y, Tian G, Jiang B. Circular RNA circ_0032821 contributes to oxaliplatin (OXA) resistance of gastric cancer cells by regulating SOX9 via miR-515-5p. Biotechnol Lett. 2021;43:339–51.PubMedCrossRef Zhong Y, Wang D, Ding Y, Tian G, Jiang B. Circular RNA circ_0032821 contributes to oxaliplatin (OXA) resistance of gastric cancer cells by regulating SOX9 via miR-515-5p. Biotechnol Lett. 2021;43:339–51.PubMedCrossRef
174.
Zurück zum Zitat Xu X, Tao R, Sun L, Ji X. Exosome-transferred hsa_circ_0014235 promotes DDP chemoresistance and deteriorates the development of non-small cell lung cancer by mediating the miR-520a-5p/CDK4 pathway. Cancer Cell Int. 2020;20:552.PubMedPubMedCentralCrossRef Xu X, Tao R, Sun L, Ji X. Exosome-transferred hsa_circ_0014235 promotes DDP chemoresistance and deteriorates the development of non-small cell lung cancer by mediating the miR-520a-5p/CDK4 pathway. Cancer Cell Int. 2020;20:552.PubMedPubMedCentralCrossRef
175.
Zurück zum Zitat Zang R, Qiu X, Song Y, Wang Y. Exosomes mediated transfer of Circ_0000337 contributes to cisplatin (CDDP) resistance of esophageal Cancer by regulating JAK2 via miR-377-3p. Front Cell Dev Biol. 2021;9:673237.PubMedPubMedCentralCrossRef Zang R, Qiu X, Song Y, Wang Y. Exosomes mediated transfer of Circ_0000337 contributes to cisplatin (CDDP) resistance of esophageal Cancer by regulating JAK2 via miR-377-3p. Front Cell Dev Biol. 2021;9:673237.PubMedPubMedCentralCrossRef
176.
Zurück zum Zitat Zeng Z, Zhao Y, Chen Q, Zhu S, Niu Y, Ye Z, et al. Hypoxic exosomal HIF-1α-stabilizing circZNF91 promotes chemoresistance of normoxic pancreatic cancer cells via enhancing glycolysis. Oncogene. 2021;40:5505–17.PubMedCrossRef Zeng Z, Zhao Y, Chen Q, Zhu S, Niu Y, Ye Z, et al. Hypoxic exosomal HIF-1α-stabilizing circZNF91 promotes chemoresistance of normoxic pancreatic cancer cells via enhancing glycolysis. Oncogene. 2021;40:5505–17.PubMedCrossRef
177.
Zurück zum Zitat Zhao B, Li Z, Qin C, Li T, Wang Y, Cao H, et al. Mobius strip in pancreatic cancer: biogenesis, function and clinical significance of circular RNAs. Cell Mol Life Sci. 2021;78:6201–13.PubMedCrossRef Zhao B, Li Z, Qin C, Li T, Wang Y, Cao H, et al. Mobius strip in pancreatic cancer: biogenesis, function and clinical significance of circular RNAs. Cell Mol Life Sci. 2021;78:6201–13.PubMedCrossRef
178.
Zurück zum Zitat Hon KW, Ab-Mutalib NS, Abdullah NMA, Jamal R, Abu N. Extracellular vesicle-derived circular RNAs confers chemoresistance in colorectal cancer. Sci Rep. 2019;9:16497.PubMedPubMedCentralCrossRef Hon KW, Ab-Mutalib NS, Abdullah NMA, Jamal R, Abu N. Extracellular vesicle-derived circular RNAs confers chemoresistance in colorectal cancer. Sci Rep. 2019;9:16497.PubMedPubMedCentralCrossRef
179.
Zurück zum Zitat Ding C, Yi X, Wu X, Bu X, Wang D, Wu Z, et al. Exosome-mediated transfer of circRNA CircNFIX enhances temozolomide resistance in glioma. Cancer Lett. 2020;479:1–12.PubMedCrossRef Ding C, Yi X, Wu X, Bu X, Wang D, Wu Z, et al. Exosome-mediated transfer of circRNA CircNFIX enhances temozolomide resistance in glioma. Cancer Lett. 2020;479:1–12.PubMedCrossRef
180.
Zurück zum Zitat Si J, Li W, Li X, Cao L, Chen Z, Jiang Z. Heparanase confers temozolomide resistance by regulation of exosome secretion and circular RNA composition in glioma. Cancer Sci. 2021;112:3491–506.PubMedPubMedCentralCrossRef Si J, Li W, Li X, Cao L, Chen Z, Jiang Z. Heparanase confers temozolomide resistance by regulation of exosome secretion and circular RNA composition in glioma. Cancer Sci. 2021;112:3491–506.PubMedPubMedCentralCrossRef
181.
Zurück zum Zitat Pan Y, Lin Y, Mi C. Cisplatin-resistant osteosarcoma cell-derived exosomes confer cisplatin resistance to recipient cells in an exosomal circ_103801-dependent manner. Cell Biol Int. 2021;45:858–68.PubMedCrossRef Pan Y, Lin Y, Mi C. Cisplatin-resistant osteosarcoma cell-derived exosomes confer cisplatin resistance to recipient cells in an exosomal circ_103801-dependent manner. Cell Biol Int. 2021;45:858–68.PubMedCrossRef
182.
Zurück zum Zitat Tu C, He J, Qi L, Ren X, Zhang C, Duan Z, et al. Emerging landscape of circular RNAs as biomarkers and pivotal regulators in osteosarcoma. J Cell Physiol. 2020;235:9037–58.PubMedCrossRef Tu C, He J, Qi L, Ren X, Zhang C, Duan Z, et al. Emerging landscape of circular RNAs as biomarkers and pivotal regulators in osteosarcoma. J Cell Physiol. 2020;235:9037–58.PubMedCrossRef
183.
Zurück zum Zitat Sandfeld-Paulsen B, Aggerholm-Pedersen N, Bæk R, Jakobsen KR, Meldgaard P, Folkersen BH, et al. Exosomal proteins as prognostic biomarkers in non-small cell lung cancer. Mol Oncol. 2016;10:1595–602.PubMedPubMedCentralCrossRef Sandfeld-Paulsen B, Aggerholm-Pedersen N, Bæk R, Jakobsen KR, Meldgaard P, Folkersen BH, et al. Exosomal proteins as prognostic biomarkers in non-small cell lung cancer. Mol Oncol. 2016;10:1595–602.PubMedPubMedCentralCrossRef
184.
Zurück zum Zitat Melo SA, Luecke LB, Kahlert C, Fernandez AF, Gammon ST, Kaye J, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. 2015;523:177–82.PubMedPubMedCentralCrossRef Melo SA, Luecke LB, Kahlert C, Fernandez AF, Gammon ST, Kaye J, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. 2015;523:177–82.PubMedPubMedCentralCrossRef
185.
Zurück zum Zitat Chen IH, Xue L, Hsu CC, Paez JS, Pan L, Andaluz H, et al. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Proc Natl Acad Sci U S A. 2017;114:3175–80.PubMedPubMedCentralCrossRef Chen IH, Xue L, Hsu CC, Paez JS, Pan L, Andaluz H, et al. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Proc Natl Acad Sci U S A. 2017;114:3175–80.PubMedPubMedCentralCrossRef
186.
Zurück zum Zitat Chen G, Huang AC, Zhang W, Zhang G, Wu M, Xu W, et al. Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature. 2018;560:382–6.PubMedPubMedCentralCrossRef Chen G, Huang AC, Zhang W, Zhang G, Wu M, Xu W, et al. Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature. 2018;560:382–6.PubMedPubMedCentralCrossRef
187.
Zurück zum Zitat Poggio M, Hu T, Pai CC, Chu B, Belair CD, Chang A, et al. Suppression of Exosomal PD-L1 induces systemic anti-tumor immunity and memory. Cell. 2019;177:414–427.e413.PubMedPubMedCentralCrossRef Poggio M, Hu T, Pai CC, Chu B, Belair CD, Chang A, et al. Suppression of Exosomal PD-L1 induces systemic anti-tumor immunity and memory. Cell. 2019;177:414–427.e413.PubMedPubMedCentralCrossRef
189.
Zurück zum Zitat Wang W, Luo J, Wang S. Recent Progress in isolation and detection of extracellular vesicles for Cancer diagnostics. Adv Healthc Mater. 2018;7:e1800484.PubMedCrossRef Wang W, Luo J, Wang S. Recent Progress in isolation and detection of extracellular vesicles for Cancer diagnostics. Adv Healthc Mater. 2018;7:e1800484.PubMedCrossRef
190.
Zurück zum Zitat Li P, Kaslan M, Lee SH, Yao J, Gao Z. Progress in Exosome Isolation Techniques Theranostics. 2017;7:789–804.PubMed Li P, Kaslan M, Lee SH, Yao J, Gao Z. Progress in Exosome Isolation Techniques Theranostics. 2017;7:789–804.PubMed
191.
Zurück zum Zitat Vlassov AV, Magdaleno S, Setterquist R, Conrad R. Exosomes: current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. Biochim Biophys Acta. 2012;1820:940–8.PubMedCrossRef Vlassov AV, Magdaleno S, Setterquist R, Conrad R. Exosomes: current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. Biochim Biophys Acta. 2012;1820:940–8.PubMedCrossRef
192.
Zurück zum Zitat Gardiner C, Di Vizio D, Sahoo S, Théry C, Witwer KW, Wauben M, et al. Techniques used for the isolation and characterization of extracellular vesicles: results of a worldwide survey. J Extracell Vesicles. 2016;5:32945.PubMedCrossRef Gardiner C, Di Vizio D, Sahoo S, Théry C, Witwer KW, Wauben M, et al. Techniques used for the isolation and characterization of extracellular vesicles: results of a worldwide survey. J Extracell Vesicles. 2016;5:32945.PubMedCrossRef
193.
Zurück zum Zitat Petersen KE, Manangon E, Hood JL, Wickline SA, Fernandez DP, Johnson WP, et al. A review of exosome separation techniques and characterization of B16-F10 mouse melanoma exosomes with AF4-UV-MALS-DLS-TEM. Anal Bioanal Chem. 2014;406:7855–66.PubMedPubMedCentralCrossRef Petersen KE, Manangon E, Hood JL, Wickline SA, Fernandez DP, Johnson WP, et al. A review of exosome separation techniques and characterization of B16-F10 mouse melanoma exosomes with AF4-UV-MALS-DLS-TEM. Anal Bioanal Chem. 2014;406:7855–66.PubMedPubMedCentralCrossRef
194.
Zurück zum Zitat Taylor DD, Shah S. Methods of isolating extracellular vesicles impact down-stream analyses of their cargoes. Methods. 2015;87:3–10.PubMedCrossRef Taylor DD, Shah S. Methods of isolating extracellular vesicles impact down-stream analyses of their cargoes. Methods. 2015;87:3–10.PubMedCrossRef
195.
Zurück zum Zitat Musante L, Tataruch DE, Holthofer H. Use and isolation of urinary exosomes as biomarkers for diabetic nephropathy. Front Endocrinol (Lausanne). 2014;5:149.CrossRef Musante L, Tataruch DE, Holthofer H. Use and isolation of urinary exosomes as biomarkers for diabetic nephropathy. Front Endocrinol (Lausanne). 2014;5:149.CrossRef
196.
Zurück zum Zitat Popovic M, Mazzega E, Toffoletto B, de Marco A. Isolation of anti-extra-cellular vesicle single-domain antibodies by direct panning on vesicle-enriched fractions. Microb Cell Factories. 2018;17:6.CrossRef Popovic M, Mazzega E, Toffoletto B, de Marco A. Isolation of anti-extra-cellular vesicle single-domain antibodies by direct panning on vesicle-enriched fractions. Microb Cell Factories. 2018;17:6.CrossRef
197.
Zurück zum Zitat Tauro BJ, Greening DW, Mathias RA, Ji H, Mathivanan S, Scott AM, et al. Comparison of ultracentrifugation, density gradient separation, and immunoaffinity capture methods for isolating human colon cancer cell line LIM1863-derived exosomes. Methods. 2012;56:293–304.PubMedCrossRef Tauro BJ, Greening DW, Mathias RA, Ji H, Mathivanan S, Scott AM, et al. Comparison of ultracentrifugation, density gradient separation, and immunoaffinity capture methods for isolating human colon cancer cell line LIM1863-derived exosomes. Methods. 2012;56:293–304.PubMedCrossRef
198.
Zurück zum Zitat Wu M, Ouyang Y, Wang Z, Zhang R, Huang PH, Chen C, et al. Isolation of exosomes from whole blood by integrating acoustics and microfluidics. Proc Natl Acad Sci U S A. 2017;114:10584–9.PubMedPubMedCentralCrossRef Wu M, Ouyang Y, Wang Z, Zhang R, Huang PH, Chen C, et al. Isolation of exosomes from whole blood by integrating acoustics and microfluidics. Proc Natl Acad Sci U S A. 2017;114:10584–9.PubMedPubMedCentralCrossRef
199.
Zurück zum Zitat Ibsen SD, Wright J, Lewis JM, Kim S, Ko SY, Ong J, et al. Rapid isolation and detection of Exosomes and associated biomarkers from plasma. ACS Nano. 2017;11:6641–51.PubMedCrossRef Ibsen SD, Wright J, Lewis JM, Kim S, Ko SY, Ong J, et al. Rapid isolation and detection of Exosomes and associated biomarkers from plasma. ACS Nano. 2017;11:6641–51.PubMedCrossRef
200.
Zurück zum Zitat Ranjan S, Zeming KK, Jureen R, Fisher D, Zhang Y. DLD pillar shape design for efficient separation of spherical and non-spherical bioparticles. Lab Chip. 2014;14:4250–62.PubMedCrossRef Ranjan S, Zeming KK, Jureen R, Fisher D, Zhang Y. DLD pillar shape design for efficient separation of spherical and non-spherical bioparticles. Lab Chip. 2014;14:4250–62.PubMedCrossRef
201.
Zurück zum Zitat Liu C, Yang Y, Wu Y. Recent advances in Exosomal protein detection via liquid biopsy biosensors for Cancer screening, diagnosis, and prognosis. AAPS J. 2018;20:41.PubMedCrossRef Liu C, Yang Y, Wu Y. Recent advances in Exosomal protein detection via liquid biopsy biosensors for Cancer screening, diagnosis, and prognosis. AAPS J. 2018;20:41.PubMedCrossRef
202.
Zurück zum Zitat Saad MG, Beyenal H, Dong WJ. Exosomes as powerful Engines in Cancer: isolation, Characterization and Detection Techniques. Biosensors (Basel). 2021;11(12):518.PubMedPubMedCentralCrossRef Saad MG, Beyenal H, Dong WJ. Exosomes as powerful Engines in Cancer: isolation, Characterization and Detection Techniques. Biosensors (Basel). 2021;11(12):518.PubMedPubMedCentralCrossRef
203.
Zurück zum Zitat Lin S, Yu Z, Chen D, Wang Z, Miao J, Li Q, et al. Progress in microfluidics-based exosome separation and detection Technologies for Diagnostic Applications. Small. 2020;16:e1903916.PubMedCrossRef Lin S, Yu Z, Chen D, Wang Z, Miao J, Li Q, et al. Progress in microfluidics-based exosome separation and detection Technologies for Diagnostic Applications. Small. 2020;16:e1903916.PubMedCrossRef
204.
Zurück zum Zitat Xu L, Shoaie N, Jahanpeyma F, Zhao J, Azimzadeh M, Al Jamal KT. Optical, electrochemical and electrical (nano)biosensors for detection of exosomes: a comprehensive overview. Biosens Bioelectron. 2020;161:112222.PubMedCrossRef Xu L, Shoaie N, Jahanpeyma F, Zhao J, Azimzadeh M, Al Jamal KT. Optical, electrochemical and electrical (nano)biosensors for detection of exosomes: a comprehensive overview. Biosens Bioelectron. 2020;161:112222.PubMedCrossRef
205.
Zurück zum Zitat Zhao Z, Ukidve A, Kim J, Mitragotri S. Targeting strategies for tissue-specific drug delivery. Cell. 2020;181:151–67.PubMedCrossRef Zhao Z, Ukidve A, Kim J, Mitragotri S. Targeting strategies for tissue-specific drug delivery. Cell. 2020;181:151–67.PubMedCrossRef
206.
Zurück zum Zitat Plantureux L, Crescence L, Dignat-George F, Panicot-Dubois L, Dubois C. Effects of platelets on cancer progression. Thromb Res. 2018;164(Suppl 1):S40–s47.PubMedCrossRef Plantureux L, Crescence L, Dignat-George F, Panicot-Dubois L, Dubois C. Effects of platelets on cancer progression. Thromb Res. 2018;164(Suppl 1):S40–s47.PubMedCrossRef
207.
Zurück zum Zitat Peterson JE, Zurakowski D, Italiano JE Jr, Michel LV, Connors S, Oenick M, et al. VEGF, PF4 and PDGF are elevated in platelets of colorectal cancer patients. Angiogenesis. 2012;15:265–73.PubMedCrossRef Peterson JE, Zurakowski D, Italiano JE Jr, Michel LV, Connors S, Oenick M, et al. VEGF, PF4 and PDGF are elevated in platelets of colorectal cancer patients. Angiogenesis. 2012;15:265–73.PubMedCrossRef
208.
Zurück zum Zitat Plantureux L, Mège D, Crescence L, Dignat-George F, Dubois C, Panicot-Dubois L. Impacts of Cancer on platelet production, Activation and Education and Mechanisms of Cancer-Associated Thrombosis. Cancers (Basel). 2018;10(11):441.PubMedCentralCrossRef Plantureux L, Mège D, Crescence L, Dignat-George F, Dubois C, Panicot-Dubois L. Impacts of Cancer on platelet production, Activation and Education and Mechanisms of Cancer-Associated Thrombosis. Cancers (Basel). 2018;10(11):441.PubMedCentralCrossRef
209.
Zurück zum Zitat Best MG, Wesseling P, Wurdinger T. Tumor-educated platelets as a noninvasive biomarker source for Cancer detection and progression monitoring. Cancer Res. 2018;78:3407–12.PubMedCrossRef Best MG, Wesseling P, Wurdinger T. Tumor-educated platelets as a noninvasive biomarker source for Cancer detection and progression monitoring. Cancer Res. 2018;78:3407–12.PubMedCrossRef
210.
Zurück zum Zitat Lood C, Amisten S, Gullstrand B, Jönsen A, Allhorn M, Truedsson L, et al. Platelet transcriptional profile and protein expression in patients with systemic lupus erythematosus: up-regulation of the type I interferon system is strongly associated with vascular disease. Blood. 2010;116:1951–7.PubMedCrossRef Lood C, Amisten S, Gullstrand B, Jönsen A, Allhorn M, Truedsson L, et al. Platelet transcriptional profile and protein expression in patients with systemic lupus erythematosus: up-regulation of the type I interferon system is strongly associated with vascular disease. Blood. 2010;116:1951–7.PubMedCrossRef
211.
Zurück zum Zitat Olsson AK, Cedervall J. The pro-inflammatory role of platelets in cancer. Platelets. 2018;29:569–73.PubMedCrossRef Olsson AK, Cedervall J. The pro-inflammatory role of platelets in cancer. Platelets. 2018;29:569–73.PubMedCrossRef
212.
Zurück zum Zitat Xue L, Xie L, Song X, Song X. Identification of potential tumor-educated platelets RNA biomarkers in non-small-cell lung cancer by integrated bioinformatical analysis. J Clin Lab Anal. 2018;32:e22450.PubMedPubMedCentralCrossRef Xue L, Xie L, Song X, Song X. Identification of potential tumor-educated platelets RNA biomarkers in non-small-cell lung cancer by integrated bioinformatical analysis. J Clin Lab Anal. 2018;32:e22450.PubMedPubMedCentralCrossRef
213.
Zurück zum Zitat Sheng M, Dong Z, Xie Y. Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer. Onco Targets Ther. 2018;11:8143–51.PubMedPubMedCentralCrossRef Sheng M, Dong Z, Xie Y. Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer. Onco Targets Ther. 2018;11:8143–51.PubMedPubMedCentralCrossRef
214.
Zurück zum Zitat Luo CL, Xu ZG, Chen H, Ji J, Wang YH, Hu W, et al. LncRNAs and EGFRvIII sequestered in TEPs enable blood-based NSCLC diagnosis. Cancer Manag Res. 2018;10:1449–59.PubMedPubMedCentralCrossRef Luo CL, Xu ZG, Chen H, Ji J, Wang YH, Hu W, et al. LncRNAs and EGFRvIII sequestered in TEPs enable blood-based NSCLC diagnosis. Cancer Manag Res. 2018;10:1449–59.PubMedPubMedCentralCrossRef
215.
Zurück zum Zitat Goswami C, Chawla S, Thakral D, Pant H, Verma P, Malik PS. Jayadeva, Gupta R, Ahuja G, Sengupta D: molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC. BMC Genomics. 2020;21:744.PubMedPubMedCentralCrossRef Goswami C, Chawla S, Thakral D, Pant H, Verma P, Malik PS. Jayadeva, Gupta R, Ahuja G, Sengupta D: molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC. BMC Genomics. 2020;21:744.PubMedPubMedCentralCrossRef
216.
Zurück zum Zitat Dong X, Song X, Ding S, Yu M, Shang X, Wang K, et al. Tumor-educated platelet SNORD55 as a potential biomarker for the early diagnosis of non-small cell lung cancer. Thorac Cancer. 2021;12:659–66.PubMedPubMedCentralCrossRef Dong X, Song X, Ding S, Yu M, Shang X, Wang K, et al. Tumor-educated platelet SNORD55 as a potential biomarker for the early diagnosis of non-small cell lung cancer. Thorac Cancer. 2021;12:659–66.PubMedPubMedCentralCrossRef
217.
Zurück zum Zitat Waqar W, Asghar S, Manzoor S. Platelets' RNA as biomarker trove for differentiation of early-stage hepatocellular carcinoma from underlying cirrhotic nodules. PLoS One. 2021;16:e0256739.PubMedPubMedCentralCrossRef Waqar W, Asghar S, Manzoor S. Platelets' RNA as biomarker trove for differentiation of early-stage hepatocellular carcinoma from underlying cirrhotic nodules. PLoS One. 2021;16:e0256739.PubMedPubMedCentralCrossRef
218.
Zurück zum Zitat Asghar S, Waqar W, Umar M, Manzoor S. Tumor educated platelets, a promising source for early detection of hepatocellular carcinoma: liquid biopsy an alternative approach to tissue biopsy. Clin Res Hepatol Gastroenterol. 2020;44:836–44.PubMedCrossRef Asghar S, Waqar W, Umar M, Manzoor S. Tumor educated platelets, a promising source for early detection of hepatocellular carcinoma: liquid biopsy an alternative approach to tissue biopsy. Clin Res Hepatol Gastroenterol. 2020;44:836–44.PubMedCrossRef
219.
Zurück zum Zitat Best MG, Wurdinger T. Tumor-educated platelets for the earlier detection of hepatocellular carcinoma. Clin Res Hepatol Gastroenterol. 2020;44:794–5.PubMedCrossRef Best MG, Wurdinger T. Tumor-educated platelets for the earlier detection of hepatocellular carcinoma. Clin Res Hepatol Gastroenterol. 2020;44:794–5.PubMedCrossRef
220.
Zurück zum Zitat Sol N, In 't Veld S, Vancura A, Tjerkstra M, Leurs C, Rustenburg F, Schellen P, Verschueren H, Post E, Zwaan K, et al. Tumor-educated platelet RNA for the detection and (Pseudo) progression monitoring of glioblastoma. Cell Rep Med. 2020;1:100101. Sol N, In 't Veld S, Vancura A, Tjerkstra M, Leurs C, Rustenburg F, Schellen P, Verschueren H, Post E, Zwaan K, et al. Tumor-educated platelet RNA for the detection and (Pseudo) progression monitoring of glioblastoma. Cell Rep Med. 2020;1:100101.
221.
Zurück zum Zitat Campanella R, Guarnaccia L, Cordiglieri C, Trombetta E, Caroli M, Carrabba G, et al. Tumor-educated platelets and angiogenesis in glioblastoma: another brick in the wall for novel prognostic and targetable biomarkers, changing the vision from a localized tumor to a systemic pathology. Cells. 2020;9(2):294.PubMedCentralCrossRef Campanella R, Guarnaccia L, Cordiglieri C, Trombetta E, Caroli M, Carrabba G, et al. Tumor-educated platelets and angiogenesis in glioblastoma: another brick in the wall for novel prognostic and targetable biomarkers, changing the vision from a localized tumor to a systemic pathology. Cells. 2020;9(2):294.PubMedCentralCrossRef
222.
Zurück zum Zitat Mendoza-Almanza G, Burciaga-Hernández L, Maldonado V, Melendez-Zajgla J, Olmos J. Role of platelets and breast cancer stem cells in metastasis. World J Stem Cells. 2020;12:1237–54.PubMedPubMedCentralCrossRef Mendoza-Almanza G, Burciaga-Hernández L, Maldonado V, Melendez-Zajgla J, Olmos J. Role of platelets and breast cancer stem cells in metastasis. World J Stem Cells. 2020;12:1237–54.PubMedPubMedCentralCrossRef
223.
Zurück zum Zitat Plantureux L, Mège D, Crescence L, Carminita E, Robert S, Cointe S, et al. The interaction of platelets with colorectal Cancer cells inhibits tumor growth but promotes metastasis. Cancer Res. 2020;80:291–303.PubMedCrossRef Plantureux L, Mège D, Crescence L, Carminita E, Robert S, Cointe S, et al. The interaction of platelets with colorectal Cancer cells inhibits tumor growth but promotes metastasis. Cancer Res. 2020;80:291–303.PubMedCrossRef
224.
Zurück zum Zitat Tesfamariam B. Involvement of platelets in tumor cell metastasis. Pharmacol Ther. 2016;157:112–9.PubMedCrossRef Tesfamariam B. Involvement of platelets in tumor cell metastasis. Pharmacol Ther. 2016;157:112–9.PubMedCrossRef
225.
Zurück zum Zitat Yang L, Jiang Q, Li DZ, Zhou X, Yu DS, Zhong J. TIMP1 mRNA in tumor-educated platelets is diagnostic biomarker for colorectal cancer. Aging (Albany NY). 2019;11:8998–9012.CrossRef Yang L, Jiang Q, Li DZ, Zhou X, Yu DS, Zhong J. TIMP1 mRNA in tumor-educated platelets is diagnostic biomarker for colorectal cancer. Aging (Albany NY). 2019;11:8998–9012.CrossRef
226.
Zurück zum Zitat Qian W, Ge XX, Wu J, Gong FR, Wu MY, Xu MD, et al. Prognostic evaluation of resectable colorectal cancer using platelet-associated indicators. Oncol Lett. 2019;18:571–80.PubMedPubMedCentral Qian W, Ge XX, Wu J, Gong FR, Wu MY, Xu MD, et al. Prognostic evaluation of resectable colorectal cancer using platelet-associated indicators. Oncol Lett. 2019;18:571–80.PubMedPubMedCentral
228.
Zurück zum Zitat Lasham A, Fitzgerald SJ, Knowlton N, Robb T, Tsai P, Black MA, et al. A predictor of early disease recurrence in patients with breast Cancer using a cell-free RNA and protein liquid biopsy. Clin Breast Cancer. 2020;20:108–16.PubMedCrossRef Lasham A, Fitzgerald SJ, Knowlton N, Robb T, Tsai P, Black MA, et al. A predictor of early disease recurrence in patients with breast Cancer using a cell-free RNA and protein liquid biopsy. Clin Breast Cancer. 2020;20:108–16.PubMedCrossRef
229.
Zurück zum Zitat Olmedillas-López S, García-Arranz M, García-Olmo D. Current and emerging applications of droplet digital PCR in oncology. Mol Diagn Ther. 2017;21:493–510.PubMedCrossRef Olmedillas-López S, García-Arranz M, García-Olmo D. Current and emerging applications of droplet digital PCR in oncology. Mol Diagn Ther. 2017;21:493–510.PubMedCrossRef
230.
Zurück zum Zitat Herrera M, Galindo-Pumariño C, García-Barberán V, Peña C. A snapshot of the tumor microenvironment in colorectal Cancer: the liquid biopsy. Int J Mol Sci. 2019;20. Herrera M, Galindo-Pumariño C, García-Barberán V, Peña C. A snapshot of the tumor microenvironment in colorectal Cancer: the liquid biopsy. Int J Mol Sci. 2019;20.
231.
Zurück zum Zitat Galindo-Pumariño C, Collado M, Herrera M, Peña C. Tumor microenvironment in metastatic colorectal Cancer: the arbitrator in Patients' outcome, vol. 13. Cancers (Basel). 2021. Galindo-Pumariño C, Collado M, Herrera M, Peña C. Tumor microenvironment in metastatic colorectal Cancer: the arbitrator in Patients' outcome, vol. 13. Cancers (Basel). 2021.
232.
Zurück zum Zitat Goon PK, Lip GY, Boos CJ, Stonelake PS, Blann AD. Circulating endothelial cells, endothelial progenitor cells, and endothelial microparticles in cancer. Neoplasia. 2006;8:79–88.PubMedPubMedCentralCrossRef Goon PK, Lip GY, Boos CJ, Stonelake PS, Blann AD. Circulating endothelial cells, endothelial progenitor cells, and endothelial microparticles in cancer. Neoplasia. 2006;8:79–88.PubMedPubMedCentralCrossRef
233.
Zurück zum Zitat Bethel K, Luttgen MS, Damani S, Kolatkar A, Lamy R, Sabouri-Ghomi M, et al. Fluid phase biopsy for detection and characterization of circulating endothelial cells in myocardial infarction. Phys Biol. 2014;11:016002.PubMedPubMedCentralCrossRef Bethel K, Luttgen MS, Damani S, Kolatkar A, Lamy R, Sabouri-Ghomi M, et al. Fluid phase biopsy for detection and characterization of circulating endothelial cells in myocardial infarction. Phys Biol. 2014;11:016002.PubMedPubMedCentralCrossRef
234.
Zurück zum Zitat Zhu Y, Zhu J, Tian X, Zhang F, Zhao L, Zhu J, et al. Circulating endothelial progenitor cells from septic patients are associated with different infectious organisms. Ann Palliat Med. 2021;10:549–59.PubMedCrossRef Zhu Y, Zhu J, Tian X, Zhang F, Zhao L, Zhu J, et al. Circulating endothelial progenitor cells from septic patients are associated with different infectious organisms. Ann Palliat Med. 2021;10:549–59.PubMedCrossRef
235.
Zurück zum Zitat Nizzoli ME, Merati G, Tenore A, Picone C, Consensi E, Perotti L, et al. Circulating endothelial cells in COVID-19. Am J Hematol. 2020;95:E187–e188.PubMedCrossRef Nizzoli ME, Merati G, Tenore A, Picone C, Consensi E, Perotti L, et al. Circulating endothelial cells in COVID-19. Am J Hematol. 2020;95:E187–e188.PubMedCrossRef
236.
Zurück zum Zitat Duong HT, Erzurum SC, Asosingh K. Pro-angiogenic hematopoietic progenitor cells and endothelial colony-forming cells in pathological angiogenesis of bronchial and pulmonary circulation. Angiogenesis. 2011;14:411–22.PubMedPubMedCentralCrossRef Duong HT, Erzurum SC, Asosingh K. Pro-angiogenic hematopoietic progenitor cells and endothelial colony-forming cells in pathological angiogenesis of bronchial and pulmonary circulation. Angiogenesis. 2011;14:411–22.PubMedPubMedCentralCrossRef
237.
Zurück zum Zitat Manzoni M, Comolli G, Torchio M, Mazzini G, Danova M. Circulating endothelial cells and their subpopulations: role as predictive biomarkers in antiangiogenic therapy for colorectal cancer. Clin Colorectal Cancer. 2015;14:11–7.PubMedCrossRef Manzoni M, Comolli G, Torchio M, Mazzini G, Danova M. Circulating endothelial cells and their subpopulations: role as predictive biomarkers in antiangiogenic therapy for colorectal cancer. Clin Colorectal Cancer. 2015;14:11–7.PubMedCrossRef
238.
Zurück zum Zitat Rahbari NN, Schölch S, Bork U, Kahlert C, Schneider M, Rahbari M, et al. Prognostic value of circulating endothelial cells in metastatic colorectal cancer. Oncotarget. 2017;8:37491–501.PubMedPubMedCentralCrossRef Rahbari NN, Schölch S, Bork U, Kahlert C, Schneider M, Rahbari M, et al. Prognostic value of circulating endothelial cells in metastatic colorectal cancer. Oncotarget. 2017;8:37491–501.PubMedPubMedCentralCrossRef
239.
Zurück zum Zitat Cima I, Kong SL, Sengupta D, Tan IB, Phyo WM, Lee D, Hu M, Iliescu C, Alexander I, Goh WL, et al. Tumor-derived circulating endothelial cell clusters in colorectal cancer. Sci Transl Med. 2016;8:345ra389. Cima I, Kong SL, Sengupta D, Tan IB, Phyo WM, Lee D, Hu M, Iliescu C, Alexander I, Goh WL, et al. Tumor-derived circulating endothelial cell clusters in colorectal cancer. Sci Transl Med. 2016;8:345ra389.
240.
Zurück zum Zitat Ronzoni M, Manzoni M, Mariucci S, Loupakis F, Brugnatelli S, Bencardino K, et al. Circulating endothelial cells and endothelial progenitors as predictive markers of clinical response to bevacizumab-based first-line treatment in advanced colorectal cancer patients. Ann Oncol. 2010;21:2382–9.PubMedCrossRef Ronzoni M, Manzoni M, Mariucci S, Loupakis F, Brugnatelli S, Bencardino K, et al. Circulating endothelial cells and endothelial progenitors as predictive markers of clinical response to bevacizumab-based first-line treatment in advanced colorectal cancer patients. Ann Oncol. 2010;21:2382–9.PubMedCrossRef
241.
Zurück zum Zitat Malka D, Boige V, Jacques N, Vimond N, Adenis A, Boucher E, et al. Clinical value of circulating endothelial cell levels in metastatic colorectal cancer patients treated with first-line chemotherapy and bevacizumab. Ann Oncol. 2012;23:919–27.PubMedCrossRef Malka D, Boige V, Jacques N, Vimond N, Adenis A, Boucher E, et al. Clinical value of circulating endothelial cell levels in metastatic colorectal cancer patients treated with first-line chemotherapy and bevacizumab. Ann Oncol. 2012;23:919–27.PubMedCrossRef
242.
Zurück zum Zitat Matsusaka S, Mishima Y, Suenaga M, Terui Y, Kuniyoshi R, Mizunuma N, et al. Circulating endothelial progenitors and CXCR4-positive circulating endothelial cells are predictive markers for bevacizumab. Cancer. 2011;117:4026–32.PubMedCrossRef Matsusaka S, Mishima Y, Suenaga M, Terui Y, Kuniyoshi R, Mizunuma N, et al. Circulating endothelial progenitors and CXCR4-positive circulating endothelial cells are predictive markers for bevacizumab. Cancer. 2011;117:4026–32.PubMedCrossRef
243.
Zurück zum Zitat Gootjes EC, Kraan J, Buffart TE, Bakkerus L, Zonderhuis BM, Verhoef C, et al. CD276-positive circulating endothelial cells do not predict response to systemic therapy in advanced colorectal Cancer. Cells. 2020;9(1):124.PubMedCentralCrossRef Gootjes EC, Kraan J, Buffart TE, Bakkerus L, Zonderhuis BM, Verhoef C, et al. CD276-positive circulating endothelial cells do not predict response to systemic therapy in advanced colorectal Cancer. Cells. 2020;9(1):124.PubMedCentralCrossRef
244.
Zurück zum Zitat Lin PP. Aneuploid CTC and CEC. Diagnostics (Basel). 2018;8(2):26. Lin PP. Aneuploid CTC and CEC. Diagnostics (Basel). 2018;8(2):26.
245.
Zurück zum Zitat Roselli M, Formica V, Cereda V, Jochems C, Richards J, Grenga I, et al. The association of clinical outcome and peripheral T-cell subsets in metastatic colorectal cancer patients receiving first-line FOLFIRI plus bevacizumab therapy. Oncoimmunology. 2016;5:e1188243.PubMedPubMedCentralCrossRef Roselli M, Formica V, Cereda V, Jochems C, Richards J, Grenga I, et al. The association of clinical outcome and peripheral T-cell subsets in metastatic colorectal cancer patients receiving first-line FOLFIRI plus bevacizumab therapy. Oncoimmunology. 2016;5:e1188243.PubMedPubMedCentralCrossRef
246.
Zurück zum Zitat Bencsikova B, Budinska E, Selingerova I, Pilatova K, Fedorova L, Greplova K, et al. Circulating T cell subsets are associated with clinical outcome of anti-VEGF-based 1st-line treatment of metastatic colorectal cancer patients: a prospective study with focus on primary tumor sidedness. BMC Cancer. 2019;19:687.PubMedPubMedCentralCrossRef Bencsikova B, Budinska E, Selingerova I, Pilatova K, Fedorova L, Greplova K, et al. Circulating T cell subsets are associated with clinical outcome of anti-VEGF-based 1st-line treatment of metastatic colorectal cancer patients: a prospective study with focus on primary tumor sidedness. BMC Cancer. 2019;19:687.PubMedPubMedCentralCrossRef
247.
Zurück zum Zitat Passardi A, Scarpi E, Cavanna L, Dall'Agata M, Tassinari D, Leo S, et al. Inflammatory indexes as predictors of prognosis and bevacizumab efficacy in patients with metastatic colorectal cancer. Oncotarget. 2016;7:33210–9.PubMedPubMedCentralCrossRef Passardi A, Scarpi E, Cavanna L, Dall'Agata M, Tassinari D, Leo S, et al. Inflammatory indexes as predictors of prognosis and bevacizumab efficacy in patients with metastatic colorectal cancer. Oncotarget. 2016;7:33210–9.PubMedPubMedCentralCrossRef
248.
Zurück zum Zitat Chang J, Lin G, Ye M, Tong D, Zhao J, Zhu D, et al. Decreased mean platelet volume predicts poor prognosis in metastatic colorectal cancer patients treated with first-line chemotherapy: results from mCRC biomarker study. BMC Cancer. 2019;19:15.PubMedPubMedCentralCrossRef Chang J, Lin G, Ye M, Tong D, Zhao J, Zhu D, et al. Decreased mean platelet volume predicts poor prognosis in metastatic colorectal cancer patients treated with first-line chemotherapy: results from mCRC biomarker study. BMC Cancer. 2019;19:15.PubMedPubMedCentralCrossRef
249.
Zurück zum Zitat Dell'Aquila E, Cremolini C, Zeppola T, Lonardi S, Bergamo F, Masi G, et al. Prognostic and predictive role of neutrophil/lymphocytes ratio in metastatic colorectal cancer: a retrospective analysis of the TRIBE study by GONO. Ann Oncol. 2018;29:924–30.PubMedCrossRef Dell'Aquila E, Cremolini C, Zeppola T, Lonardi S, Bergamo F, Masi G, et al. Prognostic and predictive role of neutrophil/lymphocytes ratio in metastatic colorectal cancer: a retrospective analysis of the TRIBE study by GONO. Ann Oncol. 2018;29:924–30.PubMedCrossRef
250.
Zurück zum Zitat Waas ET, Wobbes T, Ruers T, Lomme RM, Hendriks T. Circulating gelatinases and tissue inhibitor of metalloproteinase-1 in colorectal cancer metastatic liver disease. Eur J Surg Oncol. 2006;32:756–63.PubMedCrossRef Waas ET, Wobbes T, Ruers T, Lomme RM, Hendriks T. Circulating gelatinases and tissue inhibitor of metalloproteinase-1 in colorectal cancer metastatic liver disease. Eur J Surg Oncol. 2006;32:756–63.PubMedCrossRef
251.
Zurück zum Zitat Nissen NI, Karsdal M, Willumsen N. Collagens and Cancer associated fibroblasts in the reactive stroma and its relation to Cancer biology. J Exp Clin Cancer Res. 2019;38:115.PubMedPubMedCentralCrossRef Nissen NI, Karsdal M, Willumsen N. Collagens and Cancer associated fibroblasts in the reactive stroma and its relation to Cancer biology. J Exp Clin Cancer Res. 2019;38:115.PubMedPubMedCentralCrossRef
252.
Zurück zum Zitat Heidrich I, Ackar L, Mohammadi PM, Pantel K. Liquid biopsies: potential and challenges. Int J Cancer. 2021;148:528–45.PubMedCrossRef Heidrich I, Ackar L, Mohammadi PM, Pantel K. Liquid biopsies: potential and challenges. Int J Cancer. 2021;148:528–45.PubMedCrossRef
253.
Zurück zum Zitat Kilgour E, Rothwell DG, Brady G, Dive C. Liquid biopsy-based biomarkers of treatment response and resistance. Cancer Cell. 2020;37:485–95.PubMedCrossRef Kilgour E, Rothwell DG, Brady G, Dive C. Liquid biopsy-based biomarkers of treatment response and resistance. Cancer Cell. 2020;37:485–95.PubMedCrossRef
254.
255.
Zurück zum Zitat Neumann MHD, Bender S, Krahn T, Schlange T. ctDNA and CTCs in liquid biopsy - current status and where we need to Progress. Comput Struct Biotechnol J. 2018;16:190–5.PubMedPubMedCentralCrossRef Neumann MHD, Bender S, Krahn T, Schlange T. ctDNA and CTCs in liquid biopsy - current status and where we need to Progress. Comput Struct Biotechnol J. 2018;16:190–5.PubMedPubMedCentralCrossRef
256.
Zurück zum Zitat Ding Y, Li W, Wang K, Xu C, Hao M, Ding L. Perspectives of the application of liquid biopsy in colorectal Cancer. Biomed Res Int. 2020;2020:6843180.PubMedPubMedCentralCrossRef Ding Y, Li W, Wang K, Xu C, Hao M, Ding L. Perspectives of the application of liquid biopsy in colorectal Cancer. Biomed Res Int. 2020;2020:6843180.PubMedPubMedCentralCrossRef
258.
Zurück zum Zitat Best MG, Vancura A, Wurdinger T. Platelet RNA as a circulating biomarker trove for cancer diagnostics. J Thromb Haemost. 2017;15:1295–306.PubMedCrossRef Best MG, Vancura A, Wurdinger T. Platelet RNA as a circulating biomarker trove for cancer diagnostics. J Thromb Haemost. 2017;15:1295–306.PubMedCrossRef
Metadaten
Titel
Liquid biopsy at the frontier of detection, prognosis and progression monitoring in colorectal cancer
verfasst von
Hui Zhou
Liyong Zhu
Jun Song
Guohui Wang
Pengzhou Li
Weizheng Li
Ping Luo
Xulong Sun
Jin Wu
Yunze Liu
Shaihong Zhu
Yi Zhang
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
Molecular Cancer / Ausgabe 1/2022
Elektronische ISSN: 1476-4598
DOI
https://doi.org/10.1186/s12943-022-01556-2

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