Introduction
Gastric cancer (GC) remains a global health challenge, as it is the third-leading cause of cancer-associated mortalities [
1,
2]. Notably, the treatment of early diagnosed GC can lead to a favorable outcome. However, the majority of GC cases are diagnosed at advanced stage, and such patients miss the opportunity for optimal treatment. In this regard, a comprehensive understanding of genetic and other type of biomarkers in the early stage of GC could facilitate early diagnosis, and the elucidation of the mechanisms underlying the progression of GC could provide insights into the development of novel therapies.
Non-coding RNAs have been implicated in the initiation and development of GC. Circular RNAs (circRNAs) are a class of stable non-coding RNAs that are resistant to ribonuclease R digestion due to their covalently closed loop structure [
3]. Due to their stability, circRNAs are not only present in their corresponding source tissues, but are also abundant in blood, and have been proposed as promising biomarkers in different tumors [
4,
5]. Recently, tumor-associated circRNAs have been regarded as potential biomarkers for GC diagnosis and progression [
6‐
8].
Exosomes are extracellular vesicles secreted by cells, which carry cellular information and products to modulate cell–cell communication [
9]. The roles of exosomes produced by GC and their components are worthy of investigation, as they may serve as potential GC biomarkers [
2,
9]. A previous report showed that exosomal circRNAs could indicate the malignant characteristics of GC [
10]. Recent technological advancements and the availability of information on deregulated circRNAs in cancer databases had also shed light on the different roles of circRNAs in various cancer types. In addition to circRNAs, microRNAs (miRNAs or miRs) are another class of short non-coding RNAs that are involved in the progression of GC [
11,
12]. For example, miR-140-3p has been reported as a tumor suppressor that inhibits the metastasis of various types of cancer [
13,
14]. miR-140-3p could also promote autophagy, and alleviate inflammatory and oxidative stress to mitigate cell damage [
15].
A member of the serine/threonine kinase p21 activated kinase (PAK) family, PAK2, has become a promising anticancer target that regulates the proliferation and survival of GC cells [
16‐
18]. PAK2 could act as a downstream substrate of the Rho family of GTPases to regulate the cytoskeleton and cell migration [
19]. However, the functional interactions between miR-140-3p and its associated circRNAs or downstream target genes in GC remain elusive. The current study analyzed the expression profile of circRNAs in GC, and demonstrated the role of exosome-derived circ_0001789 in the progression of GC. The biological functions of circ_0001789 in GC were investigated by gain and loss of function studies. Furthermore, the present study investigated the molecular mechanisms by which circ_0001789 interacts with the miR-140-3p/PAK2 axis to modulate the progression of GC.
Materials and methods
Clinical samples
Normal gastric mucosa tissue samples of healthy controls (n = 50) and gastric mucosa tissues of patients with GC (n = 70) were collected at The First Affiliated Hospital of Xiamen University (Xiamen, China). The controls were healthy individuals with matched ages and sex to those of the patients with GC. Patients who underwent chemotherapy or radiotherapy were excluded from the study. All the enrolled participants had provided informed consent. The study protocols were approved by the Research Ethics Committee of The First Affiliated Hospital of Xiamen University, and the study was carried out following the Declaration of Helsinki.
circRNA microarray data
To identify the differentially expressed circRNAs between GC tissues and normal gastric mucosa tissues, a published circRNA microarray dataset (GSE83521) was extracted, which contained 50 gastric mucosa samples from healthy controls and 70 samples from patients with GC. Cufflinks v2.2.1 was used to derive expression (fragments per kilobase million) values, and differential gene expression was performed with the Cuffdiff package. False Discovery Rate (FDR)-adjusted P-value following Benjamini-Hochberg correction for multiple comparisons was used to define differential expression. CircRNAs with FDR-adjusted P < 0.05 and log2 fold-change > 1 were considered as significantly differentially expressed.
Reagents and cells
All cell lines were purchased from American Type Culture Collection. Primary antibodies against E-cadherin, N-cadherin, vimentin, VEGF-A, PAK2, Ki67, CD63, tumor susceptibility gene 101, calnexin and CD34 were purchased from Abcam. A chemiluminescence imaging kit was obtained from Beyotime Institute of Biotechnology. RPMI-1640, Ham’s F-12 K and MEM media, as well as fetal bovine serum (FBS) were obtained from Gibco (Thermo Fisher Scientific, Inc.). Short hairpin RNA (shRNA) (sh-circ#1, sh-circ#2 and sh-circ#3) and sh-negative control (NC), as well as pcDNA-PAK2, vector-exo, circ_0001789-exo, empty vector (vector), miRNA controls (miR-NC), and miR-430-3p mimic or inhibitor (miR-430-3p or anti-miR-430-3p) were purchased from Shanghai GeneChem Co., Ltd. Lipofectamine™ 2000 transfection reagent was obtained from Thermo Fisher Scientific, Inc. Goat anti-rabbit and mouse horseradish peroxidase (HRP)-conjugated IgG antibodies were purchased from Santa Cruz Biotechnology, Inc. 3-Methyladenine was purchased from Sigma-Aldrich (Merck KGaA). Pierce™ Magnetic RNA-Protein Pull-Down Kit was obtained from Thermo Fisher Scientific, Inc. Primers were synthesized by Integrated DNA Technologies, Inc.
Cell culture, plasmid vector, group design and transfection
GC cell lines (AGS, HGC27, MKN-45 and MKN-74), primary human umbilical vein endothelial cells (HUVECs) and the human gastric mucosal epithelial cell line (GES-1) were maintained in RPMI-1640, Ham’s F-12 K or MEM media (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS, penicillin/streptomycin (1:100; Sigma-Aldrich; Merck KGaA), 4 mM l-glutamine and 0.19% HEPES (Sigma-Aldrich; Merck KGaA) in a 37 °C incubator with 5% CO2. The usage of primary human cells in the present study was approved by the Research Ethics Committee at The First Affiliated Hospital of Xiamen University.
The shRNA sequences (sh-circ#1, sh-circ#2 and sh-circ#3) were synthesized by Shanghai GeneChem Co., Ltd., and the sequences are summarized in Additional file
2: Table S1. The shRNA sequences were cloned into the pLKO.1-Puro vector for shRNA-mediated gene silencing. To overexpress circ_0001789, the sequence of circ_0001789 was synthesized by Integrated DNA Technologies, Inc. and cloned into the pLCDH-ciR vector (Guangzhou RiboBio Co., Ltd.). The transfection of of circ_0001789 shRNA or expression vector was conducted as follows [
20]: Initially, cells were seeded in a 6-well plate for 24 h and allowed to reach 60% confluence. The PLUS
™ reagent of the Lipofectamine
™ 2000 transfection kit was mixed with 3 μg vector in 150 μl serum-free medium at room temperature. Next, the mixtures were combined with an equal volume of serum-free medium containing 6 μl Lipofectamine
™ 2000. After 30 min incubation, the transfection solution was added to the cells, and complete medium with FBS was added 12 h after transfection for an additional 48 h culture before experimental analysis.
Cell proliferation assay
The proliferation of the GC cells subjected to different treatments was measured by Cell Counting Kit (CCK)-8 assay. Briefly, GC cells were seeded in 96-well plates at a density of 1 × 104 cells per well, and cultured for 24, 48 and 72 h. CCK-8 solution (1:50 dilution) was added into the cell culture at the indicated time points and incubated for 3 h at 37 °C. Finally, the absorbance at 450 nm was determined with a EnSpire Multi-label Plate Reader (PerkinElmer, Inc.).
RNA pull-down assay
Cells (0.25 × 105) seeded in 6-well plates were transfected with biotinylated control or circRNA probe (100 nM) using Lipofectamine™ 2000. After 48 h, cells lysates (from 1 × 106 cells) were collected by using IP Lysis Buffer (Beyotime Biotechnology), and 10% of the lysates was employed as the input. The remaining lysates were incubated with M-280 streptavidin magnetic beads (Sigma-Aldrich) at 4 °C overnight. A magnetic bar was used to precipitate the magnetic beads. After 4 washes with a high-salt wash buffer, both the input and the precipitated samples from the pull-down were purified with TRIzol® reagent (Invitrogen). The enriched miRNA was then detected by reverse transcription-quantitative PCR (RT-qPCR) analysis.
Dual luciferase reporter assay
The sequence containing the wild-type (WT) binding site or the mutated (MUT) binding site was cloned into the firefly luciferase PmirGLO reporter vector (Promega Corporation). The reporter plasmid and Renilla luciferase (hRlucneo) control plasmid were co-transfected into cells in the presence of miRNA mimic or miR-NC in a 12-well plate using Lipofectamine™ 2000 reagent. At 48 h post-transfection, the relative luciferase activities were measured using Luciferase Reporter Gene Assay System (PerkinElmer, Inc.) on GloMax® Discover Microplate Reader (Promega Corporation).
RNA immunoprecipitation (RIP) assay
Cell lysates (from 1 × 106 cells) collected by 1 mL IP lysis buffer were incubated with 100 μl protein-A magnetic beads (Sigma) coated with 10 μg control IgG or anti-AGO2 antibody at 4 °C overnight. The magnetic beads were precipitated using a magnetic bar, and the precipitated samples were washed 3 times with washing buffer. The eluted samples were purified with TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.). The relative level of precipitated molecules was detected using RT-qPCR analysis and normalized to that in the input samples.
Western blotting
A total amount of 10 µg protein sample was subjected to 10 or 12% SDS-PAGE, followed by the transfer to PVDF membranes (MilliporeSigma). After blocking with 5% skimmed milk, the membrane was incubated with primary antibodies against E-cadherin, N-cadherin, vimentin VEGF-A and actin (1:1000, all from Abcam) at 4 °C. After further probing with HRP-linked secondary antibodies at room temperature for 1 h, the protein bands were visualized using an enhanced chemiluminescence kit (Santa Cruz Biotechnology, Inc.) and photographed on a gel imaging system (Bio-Rad Laboratories, Inc.). Densitometry analysis was performed with Image J software [
21].
Mouse xenografts
The animal experiments were approved by the Institutional Animal Care and Use Committee of the First Affiliated Hospital of Xiamen University (Xiamen, China). NU/NU mice (6 weeks old) were obtained from the Experimental Animal Center of Xiamen University. For establishing the xenograft model, 1 × 10
6 AGS cells transfected with sh-NC and sh-circ-0001789 were injected subcutaneously on the back of the mice. Tumor growth was monitored using a Vernier caliper every 7 days, and tumor volume (V) was calculated as V = length x (width)
2/2 [
22]. If the tumor xenograft exceeded 2,000 mm
3, the mice would be euthanized immediately. For euthanasia, a chamber was connected to a carbon dioxide cylinder, and the flow rate was adjusted to displace 40% of the cage volume per min. Mice were placed into the euthanizing chamber for 10 min until no movement was observed. Animal death was confirmed by subsequent cervical dislocation.
Immunohistochemistry (IHC) staining
Paraffin-embedded tissues were cut into 4-5 μm sections using a microtome. After de-paraffinization and hydration, antigen retrieval was conducted by boiling the slides in citrate buffer for 90 s, followed by the incubation with 3% hydrogen peroxide for 10 min. After 3 washes in TBST buffer, the sections were blocked for 1 h in TBST with 5% normal goat serum, and then probed with primary antibodies (1:500) overnight at 4 °C. Following washing with TBST buffer, the sections was soaked with 1–3 drops of SignalStain® Boost Detection Reagent (Cell Signaling Technologies, Inc.) and incubated in a humidified chamber for 30 min at room temperature. The signal was developed using 400 μl SignalStain® substrate (Cell Signaling Technologies, Inc.) for 5 min. The sections were mounted with coverslip using mounting medium (Cell Signaling Technologies, Inc.) before being imaged under a bright-field microscope [
23,
24].
Cell migration and invasion assays
Transfected cells were collected after 48 h and re-suspended in serum-free DMEM. The Transwell inserts were pre-coated with 1% Matrigel at 37 °C for 1 h. Approximately 5 × 105 cells were inoculated into the upper chamber, while 500 μl 10% serum-containing medium was added to the lower chamber. After 18 h, cells on the membrane were fixed with 4% paraformaldehyde for 10 min and stained with 0.5% crystal violet (Sigma-Aldrich) for 20 min. Cells were photographed under a microscope (Olympus Corporation). Transwell migration assay was performed in Transwell inserts without Matrigel coating, and the other procedures were the same as those described above for the invasion assay.
RT-qPCR analysis
Total RNA from GC tissues and cells was extracted using RNeasy Mini Kit (Qiagen GmbH) or mirVana miRNA Isolation Kit (Thermo Fisher Scientific, Inc.). Exosomes were purified from serum samples or cell cultures using Total Exosome Isolation Kit (Invitrogen; Thermo Fisher Scientific, Inc.), and total RNA was purified from exosome samples using TRIzol
® reagent (Invitrogen; Thermo Fisher Scientific, Inc). Total RNA (5 μg) was used for RT into cDNA using PrimeScript
™ RT Master Mix (Takara Bio, Inc.). qPCR analysis was performed in triplicate using Tiangen Master Mix SYBR Green RT-PCR SuperMix (Tiangen Biotech Co., Ltd.) on a CFX96
™ Real-Time PCR Detection System (Bio-Rad Laboratories, Inc.). Actin and U6 small nuclear RNA were used as internal references to normalize mRNA and miRNA, respectively. The sequences of the primers used in the present study are summarized in Additional file
3: Table S2.
RNase R and actinomycin D treatment
RNase R (Takara Bio, Inc.) was applied to digest the RNA samples in order to evaluate their stability. Total RNA samples were divided equally into two portions: One was digested with RNase R (RNase R + group), while the other one was used as a control (mock group). The two samples were incubated at 37 °C for 25 min. The relative quantity of linear RAB11 family interacting protein 1 (RAB11FIP1) mRNA and circ_0001789 in each sample was detected by RT-qPCR.
For the RNA stability assay, transcription was blocked by 3 μg/ml actinomycin D (Sigma-Aldrich; Merck KGaA) for the indicated duration, and RNA samples were collected with TRIzol®. The stability of circ_0001789 and RAB11FIP1 mRNA was analyzed by RT-qPCR by comparison with the samples before treatment (0 h time point).
An in vitro angiogenesis assay kit (Abcam) was used to evaluate angiogenic potential. In brief, 40 μl extracellular matrix solution was added to a pre-chilled 96-well culture plate and incubated at 37 °C for 20 min. HUVECs (2.0 × 10
4) were seeded in a coated plate and incubated with exosomes from different cell lines for 48 h. Endothelial cell tube formation was observed with an inverted microscope in a bright field [
25]. Image J Angiogenesis Analyzer (National Institutes of Health) was used for quantification of the network structure.
Fluorescence in situ hybridization (FISH)
RNAScope kit (Invitrogen; Thermo Fisher Scientific, Inc.) was used to perform FISH according to the manufacturer’s instructions. Briefly, cells cultured on a coverslip were fixed with 4% paraformaldehyde and permeabilized with 0.05% Triton-X100 for 15 min. Next, 50 nM circ_0001789 probe with cyanine 3 fluorescent dye (Guangzhou RiboBio Co., Ltd.) in hybridization buffer was applied for 3 h incubation at 50 °C. Upon washing with TBST buffer, mounting medium containing DAPI (Vector Laboratories, Inc.) was used to mount the cell samples on the slides. The expression intensity and localization of circ_0001789 was observed with a fluorescence microscope.
Hematoxylin and eosin (H&E) staining
H&E staining was performed in lung tissues using H&E Stain Kit (Abcam). Deparaffinized/hydrated sections were incubated in a sufficient volume of hematoxylin solution (Mayer’s) to completely cover the tissue section for 5 min. The section was then rinsed twice with distilled water and incubated with Bluing Reagent for 60 s. Upon washing, the section was dehydrated in absolute alcohol and stained with eosin Y-solution for 3 min. The sections were rinsed in absolute ethanol 3 times, and images were collected under an inverted microscope.
Statistical analysis
Data are expressed as the mean ± SD, and were analyzed with GraphPad Prism 9.0 (GraphPad Software, Inc.). Statistical significance between two groups was assessed with paired two-tailed Student’s t-test, while comparisons among multiple groups were performed with one-way or two-way ANOVA followed by Tukey’s post hoc test. χ2 test was applied to investigate the association between GC and the circ_0001789 expression level. Kaplan Meier Curve and log-rank test were used to compare the cumulative survival rates in patients. *P < 0.05, **P < 0.01, ***P < 0.001.
Discussion
The increasing incidence of GC in the world imposes a burden on public health [
26]. The 5-year survival rate of GC remains < 30% [
27], which is mainly due to the lack of efficient early diagnostic markers and the compromised treatment outcome in patients with late-stage GC [
28,
29]. Recurrence and metastasis frequently occur in patients with GC who undergo treatments such as radical gastrectomy and chemotherapy [
29]. Previous studies also elucidated the roles of other non-coding RNA such as miRNAs in the development of GC [
30,
31]. However, the functional role of circRNAs and their underlying mechanisms in GC have yet to be explored. The present study employed a published dataset profiling differentially expressed circRNAs between GC tissues and normal gastric mucosa tissues, which revealed the upregulation of hsa_circ_0001789 (host gene symbol Rab11fip1, length 443 kb) in GC tumors. This observation was also confirmed in gastric mucosa tissues collected from healthy controls and patients with GC. Notably, the expression level of circ_0001789 in patients with metastatic tumors was much higher than that in the group without metastasis, and patients with high circ_0001789 expression showed worse overall survival compared with that shown by patients with lower expression of circ_0001789. These results indicated that circ_0001789 may serve as a biomarker of poor prognosis.
Since circ_0001789 is derived from the exon2 of RAB11FIP1, its circular structure was confirmed by comparing its stability with RAB11FIP1 mRNA in AGS and HGC27 cells following actinomycin D and RNase R treatment. To further confirm its functional role, loss-of-function analysis was performed by shRNA-mediated silencing, which revealed that circ_0001789 was indispensable for the malignant phenotype of GC cells, including their proliferation, migration and invasion, as well as the EMT process. The oncogenic role of circ_0001789 in tumorigenesis and metastasis was further validated in nude mice. Together, the present data supported the notion that circ_0001789 was upregulated in GC cells to promote the progression of GC.
Accumulating evidence suggests that exosomes derived from cancer cells played an important function in cancer biology [
9]. Exosomal circRNA could be a biomarker in liquid biopsy for early diagnosis in patients with cancer [
32,
33]. The present study further demonstrated that circ_0001789 in exosomes derived from GC cells not only promoted the malignancy of GC cells receiving exosomes, but also augmented the angiogenic potential of endothelial cells. These data indicated that exosomal circ_0001789 could facilitate the malignant progression of GC tumor tissues by regulating the vascularization and EMT, which warrants further investigation in a mouse model.
To explore the network of circ_0001789, the current study further demonstrated that miR-430-3p could be sponged and negatively regulated by circ_0001789. In contrast to the oncogenic function of circ_0001789, overexpression of miR-430-3p suppressed cell proliferation, migration and invasion, as well as EMT markers. Inhibition of miR-430-3p also rescued the effects of circ_0001789 silencing. These data were consistent with previous findings that miR-140-3p served as a tumor suppressor to inhibit the metastasis of various cancer types [
13,
14].
PAK2, a promising anticancer target in GC cells [
16‐
18], was shown to be a downstream target of miR-430-3p. Its expression was negatively correlated with miR-430-3p, but positively correlated with circ_0001789 in patients with GC, indicating that it is regulated by the circ_0001789/miR-430-3p axis. miR-430-3p overexpression or circ_0001789 silencing reduced PAK2 expression. Importantly, overexpression of PAK2 rescued the inhibitory effects of miR-430-3p overexpression or circ_0001789 silencing on cell proliferation, migration and invasion, and EMT. Consistently, PAK2 has been shown to act as an effector to confer drug resistance and malignant properties in breast and cervical cancer [
34,
35]. Therefore, these data suggested that PAK2 was a downstream mediator to support the oncogenic effects of circ_0001789 in GC cells.
Several questions remains to be investigated by the future studies. First, what are the mechanisms underlying circ_0001789 overexpression in GC? The answer to this question is the key to the formulation of intervention strategies. Further, how PAK2 mediates the malignant phenotype in GC needs further clarification. Perhaps the exploration of the roles of circ_0001789/miR-140-3p/PAK2 axis in important cellular organelle such as mitochondria would provide novel insights. Since circRNAs are promising candidates for diagnosis and therapy, the application of sensitive nanoparticle technology could be considered for in vivo diagnosis and drug delivery [
36]. Besides, a multi-center prospective study involving a large cohort of patients is needed to further validate the prognostic value of circ_0001789 for the progression of GC [
37].
In summary, the present study identified a novel circRNA, circ_0001789, which was overexpressed in GC tissue samples and cell lines to confer malignant phenotypes. The present data suggest that upregulation of circ_0001789 is associated with malignant progression of GC and poor prognosis in GC patients, and that miR-140-3p/PAK2 serves as the downstream axis to mediate the oncogenic effect of circ_0001789. Besides, silencing circ_0001789 suppressed the tumorigenesis of GC cell in the animal model. Overall, our data identified a novel regulatory module in dictating the malignant progression of GC, indicating that targeting circ_0001789/miR-140-3p/PAK2 axis could serve a novel strategy for interventional management of GC.
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