Introduction
Cancer represents one of the most substantial hazards to human existence and stands as a global public health predicament [
1]. The Global Burden of Disease Study reports that in 2019, there were 10 million cancer-related deaths and 23.6 million new cancer cases worldwide [
2]. Consequently, it is utmost importance to perform a comprehensive analysis of pan-cancer expression for certain selected genes and determine how their expression relates to clinical traits, survival chances, and putative molecular mechanisms. Fortunately, there now exists a basis for doing pan-cancer analysis thanks to vast-scale and multi-omics cancer data sets, such as TCGA and GEO, which provide functional genomics data sets of numerous types of tumors [
3,
4].
The circadian clock protein TIMELESS was first discovered in the Drosophila melanogaster [
5,
6]. Soon after, in mammals, TIMELESS also plays a variety of roles in physiological and pathological processes, including DNA replication, DNA damage response, cell cycle, and circadian rhythm [
7‐
9]. A universal intrinsic timekeeping system is the circadian rhythm [
10]. The relationship between circadian genes—including ARNTL, CLOCK, and PER1/2/3—and the onset of cancer has been thoroughly studied over the past few decades [
11‐
13]. Nowadays, night shift employment has been categorized by the International Agency for Research on Cancer (IARC) Monographs Vol 124 Working Group as a potential human carcinogen (Group 2A) in June 2019 [
14]. However, shift work with circadian disruption has been considered as a vital carcinogenic risk factor for various cancer [
15‐
18]. Similar to TIMELESS, an important component of the circadian clock, these cancers include non-small cell lung cancer [
19], colorectal cancer [
20], nasopharyngeal carcinoma (NPC) [
21], gliomas [
22], and breast cancer [
23], all of which display abnormal expression of TIMELESS and exhibit increased tumor aggressiveness. Although there have been an increasing number of research linking TIMELESS to human illnesses, notably malignant tumors, there is currently no pan-cancer analysis about the role of TIMELESS in the management of cancer. Consequently, the objective of this study is to thoroughly analyze bioinformatic data to investigate the function of TIMELESS in multiple cancer types.
To examine the function and underlying mechanism in tumorigenesis, we created a pan-cancer expression study of TIMELESS using a number of open-access databases. We also compared the correlations between TIMELESS expression and clinical characteristics, survival status, genetic alteration, immune cell infiltration, microsatellite instability (MSI), Tumor mutation burden (TMB), drug sensitivity, and relevant signaling pathway of malignant tumors. In addition, using immunohistochemistry (IHC), we confirmed the expression of TIMELESS in clinical patients across several tumor types. The study of TIMELESS could help in forecasting the survival and benefits of immunotherapeutic in cancer patients, according to our data, suggesting that TIMELESS plays a critical role in the development of various human cancers.
Materials and methods
Gene and protein expression analysis of TIMELESS
First, we used the Human Protein Atlas (HPA) database (version 20.1) to create a TIMELESS mRNA expression plot. Next, with the Tumor Immune Estimation Resource 2.0 (TIMER2.0) online database, we scanned the expression difference of TIMELESS between malignant tumors and corresponding normal tissues for the various cancers or specific tumor subtypes of the TCGA study. We also compared the expression of these tumor tissues to the normal tissues that matched them in the GTEx (Genotype-Tissue Expression) database (P value cutoff = 0.01, log2FC cutoff = 1), using the GEPIA2 (Gene Expression Profiling Interactive Analysis, version 2) website for certain tumors without normal tissues or with only a small number of normal tissues.
In addition, we created violin plots of the TIMELESS expression in varied clinical stages of all TCGA tumors using the GEPIA2. The box or violin plots were created using the log [TPM (transcripts per million) + 1] converted expression data. In addition, we examined the expression profiles of TIMELESS in various malignancies and paired normal cell lines using the BioGPS database to analyze [
24]. Furthermore, we explored protein and phosphoprotein expression utilizing the CPTAC (Clinical Proteomic Tumor Analysis Consortium) data set of the UALCAN portal, a dynamic web tool for the evaluation of Omics data. By inserting “TIMELESS” here, we investigated the expression level of the total protein of TIMELESS in primary tumor versus normal tissues, including glioblastoma multiforme, hepatocellular carcinoma, lung adenocarcinoma (LUAD), uterine corpus endometrial carcinoma (UCEC), clear cell renal carcinoma (RCC), and pancreatic adenocarcinoma. The abbreviations of TCGA cancer were shown in Abbreviations list.
Survival prognosis analysis
Then, statistics on TIMELESS' overall survival (OS) and disease-free survival (DFS) significance maps across all TCGA cancers were obtained using GEPIA2. To separate the cohorts with high and low expression, the cutoff-high and cutoff-low values (50%) were employed as the expression cutoffs. With GEPIA2, the log-rank test and survival plots were likewise collected.
Genetic alteration analysis
We visited the cBioPortal website and decided to look into the "TCGA Pan-Cancer Atlas Studies" in order to learn more about the mutation rate and genetic modification characteristics of TIMELESS. The results of the alteration frequency, mutation type, and copy number alteration (CNA) across all TCGA tumors were displayed. For the UCEC cancer patients with or without the TIMELESS genetic change, we also gather information on the variances in overall, disease-free, progression-free, and disease-free survival using the "Comparison" module. In addition, log-rank P values for Kaplan–Meier plots were created.
Immune infiltration analysis
Immune cells that infiltrate tumors are important elements of the tumor microenvironment and have been directly connected to the development, growth, or spread of cancer. Through the TIMER2.0 database, the correlation between TIMELESS expression and immune infiltrates was explored across all TCGA tumors. The MCPCOUNTER, EPIC, and TIDE algorithms were used to choose the immune cells of cancer-associated fibroblasts (CAFs) for immune infiltration estimations. The purity-adjusted Spearman's rank correlation test was used to determine the P values and partial correlation (cor) values. Results visualizations in the form of a heatmap and scatter plot were employed. Utilizing TIMER2, the immune-infiltrating cell was evaluated. The characteristics of correlation between TIMELESS expression and cell types, immunostimulators, immunoinhibitors, major histocompatibility complex (MHC) molecules in human being, chemokines, and receptors for various cancer types were also thoroughly investigated using TISIDB (tumor-immune system interactions database).
Relationship between TMB and MSI and the expression of TIMELESS
Because it reveals the frequency of modification in a particular cancer type, TMB has been recognized as a significant biomarker that is strongly linked to the effectiveness of cancer immunotherapy [
25]. It has also been determined that MSI, a genomic instability brought on by a flaw the DNA mismatch repair (MMR) machinery, is a crucial marker of how well cancer responds to immunotherapy [
26]. Sangerbox was used to carry out the correlation analysis of the TIMELESS expression with TMB and MSI using Spearman's technique. The ordinate of figure represents various cancer types, the horizontal axis displays the correlation coefficient between TIMELESS and TMB and MSI, the magnitude of the correlation coefficient is represented in the figure by the size of the dots, and the significance of the
P value is indicated by the different colors.
Relationship between TIMELESS expression and drug sensitivity
The CallMiner™ online database provided the NCI-60 compound activity data with RNA-seq expression profiles that we used to investigate the relationship between the expression level of TIMELESS and treatment sensitivity in pan-cancer. Using the R packages "limma", "impute", "ggplot2", and "ggpubr", the relationship between TIMELESS expression and the sensitivity of numerous chemotherapeutic medications licensed by the FDA was examined and visualized.
Through the STRING database, we first obtained the experimentally determined TIMELESS-binding proteins that were accessible. Then, utilizing information from all TCGA cancers and normal tissues, GEPIA2 was used to examine the top 100 TIMELESS-correlated targeting genes. The “correlation analysis” module of GEPIA2 was also used to get a pairwise gene Pearson correlation study of TIMELESS and specific genes. In addition, the heatmap data of the chosen genes was also displayed using TIMER2. The R packages "org.Hs.eg.db," "clusterProfiler," and "enrichplot" were also used to evaluate TIMELESS-related enriched pathways and GO and KEGG functional annotations.
Experimental validation using immunohistochemical staining of TIMELESS
For TIMELESS expression analysis in tumor tissues, three types of the human tumor with three specimens for each one, including breast cancer, lung cancer, and renal clear cell carcinoma, were obtained from the Department of Pathology, the Second Xiangya Hospital, Central South University. The immunohistochemistry staining was implemented with the TIMELESS antibody (ab109512, Abcam), according to their manufacturer’s protocols. Furthermore, we also downloaded immunohistochemical images of six kinds of tumor tissues from HPA, including breast cancer, colorectal cancer, lung cancer, liver cancer, renal cancer, and thyroid cancer.
Statistical analysis
GraphPad Prism (Version 8.4.2 for Windows) was used to analyze the data provided from the cBioPortal regarding the correlation between the copy number alteration of TIMELESS and its level of mRNA expression. Spearman's correlation analysis was calculated between the TIMELESS expression and TMB and MSI. Statistics were considered significant for P values under 0.05.
Discussion
Large-scale and multi-omics cancer data sets, such as TCGA, UCSC, and GEO, which contain functional genomics data sets of various types of tumors, have given researchers a platform for pan-cancer study. The pan-cancer analysis is essential and useful for contrasting the similarities and differences among various malignancies, which in turn serves to throw fresh light on our understanding of how cancer develops and to offer a novel understanding of tumor biomarkers. Numerous research has shed fresh light on the human pan-cancer whole-genome analysis and showed a direct connection between carcinogenesis and mutations and copy number changes, which is crucial for the detection and management of different malignancies [
27‐
29]. The TIMELESS gene was first discovered as a molecule in the Drosophila melanogaster circadian clock through forward genetic screening by Leslie B. Vosshall in 1994 [
30]. Due to its similar sequence, mammalian TIMELESS was identified as an essential circadian clock protein in flies. As an evolutionarily conserved core circadian clock gene in primates, TIMELESS plays multifaced roles in physiological and pathological processes, including embryonic development, DNA damage response, and DNA replication. In addition to its role in circadian rhythmicity, the TIMELESS protein also plays a role in DNA replication, the DNA damage response (DDR), embryonic development, cell cycle progression, as well as the maintenance of telomere length and integrity.
The circadian clock is a molecular time-keeping system that has survived evolution and controls daily oscillations of biological processes and behaviors, including sleep and hormone secretion [
13]. Circadian disturbance has a deleterious impact on physiology and poses a threat to world health, manifesting among other things in proliferative, metabolic, and immunological illnesses [
31,
32]. The period (PER) gene and its protein participate in a transcription–translation negative feedback loop that causes the TIMELESS mRNA and protein to oscillate regularly with time. The products of the important clock genes CLOCK, BMAL, PER1, PER2, and PER3 interact with the TIMELESS protein as well [
33]. Human TIMELESS protein interacts with the cell cycle checkpoint proteins CHK1, ATR, and the ATR-interacting protein (ATRIP), as well as the circadian proteins CRY2/1 and PER1/2/3 [
8]. In addition, exposure to DNA-damaging substances including hydroxyurea (HU) and UV radiation enhanced the interaction of TIMELESS with checkpoint proteins. The G2/M and intra-S cell cycle checkpoints depend heavily on TIMELESS protein. TIMELESS protein binds to the ATRIP component on ATR, a protein kinase sensitive to DNA damage, concerning the G2/M checkpoint. Moreover, Barrio-Alonso et al. [
34] found that the expression of the circadian protein TIMELESS exhibits circadian rhythmicity in the mammalian hippocampus. TIMELESS acts as a chromatin-bound protein that targets synaptic-plasticity-related genes, such as phosphodiesterase 4B (Pde4b) and promotes Pde4b transcription, and negatively regulates cAMP signaling, thereby regulating the function of the AMPA receptor GluA1 function and affecting synaptic plasticity. Consequently, TIMELESS may be crucial to the development and progression of cancer.
Our study found that TIMELESS was aberrantly expressed and related to poorer survival in various malignant tumors, such as ACC, LGG, LIHC, and SARC. Liu Sai-Nan et al. [
21] discovered that TIMELESS was overexpressed and associated with poorer survival in NPC, as well as conferred resistance to cisplatin-induced apoptosis and promoted the epithelial–mesenchymal transition (EMT), which could be a valuable prognostic factor and therapeutic target in NPC. According to a study on cervical cancer, TIMELESS overexpression is associated with lymphovascular space involvement, pelvic lymph node metastases, and worse OS and DFS. This suggests that TIMELESS may be a possible prognostic biomarker for cervical cancer patients [
35]. Overexpression of TIMELESS was substantially linked to a worse prognosis and a more advanced tumor stage in breast cancer [
36].
Studies in genetic mice models and cell lines have outlined the interactions between the circadian clock and numerous pathways connected to oncogenes and tumor suppressors, such as c-Myc, Ras, PTEN, and p53. The circadian clock predominates metabolic signal pathways regulating—oxidation, lipogenesis, amino acid absorption, glucose consumption, and glucose utilization. Deregulation of circadian rhythms thus impacts cancer metabolism and consequent cell proliferation, opening up new therapeutic possibilities [
11]. The TIMELESS mutation caused arrhythmic behavior, namely lack of ability to establish proper circadian rhythms. In this study, there are many genetic alterations of TIMELESS, including amplification, miss mutation, and deep deletion, which may bring on a worse survival prognosis.
It has been suggested that CAF have an impact on how various immune cells interact with malignancies [
37,
38]. Studies have shown that circadian rhythm significantly affects immune responses [
39]. Likewise, our study showed that TIMELESS was significantly associated with the CAF in various cancer, including ACC, ESCA, HNSC, LGG, MESO, UVM, STAD, and TGCT. A study performed by Xing et al. [
40] showed that high expression of TIMELESS was associated with immune cells especially macrophage infiltration in ovarian cancer. In addition, TIMELESS and its constructive binding protein TIPIN (TIMELESS-interacting protein) are critical for early embryonic development. Studies showed that TIMELESS is expressed in embryonic tissues, and involved in murine lung, kidney, and urethral bud branching morphogenesis and epithelial organogenesis [
41‐
43]. In addition, TIMELESS is crucial for DNA replication. TIMELESS shares structural and functional similarities with a family of proteins that are crucial for DNA synthesis, S-phase-dependent checkpoint activation, and chromosomal cohesion in eukaryotes. At the level of the DNA replication fork complex, these processed are coordinated [
9,
44]. Precatenation and fork rotation help unwind at hard-replicate regions, but they also fundamentally interfere with proper chromosomal duplication, and TIMELESS–TIPIN inhibits these processes [
45].
According to earlier research, chemotherapy and TIMELESS are highly connected in several types of human cancer [
46,
47]. TIMELESS is significantly connected with the susceptibility of numerous anti-cancer targeted treatment medications, including fludarabine, lapatinib, and 6-mercaptopurine, as this study’s findings have shown. These results suggest that in some human malignancies, TIMELESS exhibits intriguing promise as a novel therapeutic target and a predictive biomarker for anti-cancer therapy sensitivity. The probable process by which TIMELESS modulated medication sensitivity, however, is still unclear, suggesting a potential future area of research for TIMELESS. Furthermore, Shen et al. [
48] found that TIMELESS was down-regulated in cellular senescence, and deletion of clock protein TIMELESS may promote the cellular senescence and exacerbate genome instability at the onset of senescence, suggesting that TIMELESS inhibitors have potential applications in cancer prevention. Moreover, there is still no relevant evidence on the relationship between TIMELESS expression and the effectiveness of immunotherapy. We, therefore, deduced that TIMELESS may take important roles in cancer immunotherapies and alter the efficacy of immunotherapeutics. Higher levels of TMB and MSI are typically regarded as significant biomarkers correlated with the high therapeutic efficacy in numerous immune checkpoint inhibitors [
25,
26]. Our research provided evidence for a potential association between TIMELESS expression and MSI and TMB in several malignancies. According to our research, TMB and MSI were substantially correlated with TIMELESS expression in COAD and lung cancer, indicating that patients who express TIMELESS substantially may respond better to immune checkpoint inhibitors.
Nevertheless, this excellent study has several shortcomings. First of all, the data enrolled in our study was primarily gathered from open-access databases and clinical samples of several cancer kinds, but it has to be confirmed with further clinical patients and contrasted with corresponding normal tissues. In addition, it is yet unclear how TIMELESS affects the tumor immune microenvironment and what functions it plays in a particular form of cancer. Future research is required to confirm these findings from in vitro and in vivo trials.
Taken together, the findings of our study showed statistically significant associations between TIMELESS expression and clinical prognosis, immune cell infiltration, tumor mutational burden or microsatellite instability, and drug sensitivity across a range of tumors, which helps to explain the function of TIMELESS in tumorigenesis and immunotherapy from the viewpoint of clinical tumor samples. As a result, TIMELESS may be crucial as a new and potent immunological and prognostic biomarker across several malignancies.
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