Introduction
According to the 2020 global cancer statistics report, among 36 cancers, gastric cancer was ranked fifth and fourth, based on its incidence rate and mortality rate, respectively [
1]. The reported incidence rate was higher in males than in females [
1]. In recent years, although the combination of surgery, immuno-therapy, and neoadjuvant chemotherapy has improved the survival time of patients with gastric cancer, the overall prognosis for this disease still remains poor [
2,
3]. Invasion and metastasis are the main causes of mortality; however, the specific mechanisms behind these causes remain unclear. Therefore, there is an urgent need to identify effective gastric cancer biomarkers and therapeutic targets.
Non-coding genes, that constitute 98% of the human genome, consists of non-coding genes, which carry out biological functions namely, synthesizing regulatory RNAs such as, tRNA, rRNA, asRNA, snoRNA, snRNA, miRNA, and piRNA [
4]. In recent years, an increasing number of studies have demonstrated that non-coding RNAs are closely associated with the occurrence and progression of gastrointestinal tumors [
5,
6]. CircRNAs and miRNAs are two common non-coding RNAs that have been extensively studied in recent years. CircRNAs are closed circular non-coding RNA molecules without the 3'-poly A-tail and 5’-cap structures [
7]. Although circRNAs were discovered in 1976 [
8], they have been widely studied for less than a decade [
9,
10]. Many studies have shown that most circRNAs originate from coding genes and form independent transcripts to regulate the biological behavior of cells [
11,
12]. Biosynthesis of circRNAs occurs through a direct reverse splicing model, or lariat model, that is regulated by trans- and cis-regulatory elements [
12‐
14]. These reverse-spliced molecules are divided into exon, intron, and exon–intron circRNAs [
12,
15]. MiRNAs, ranging from 21 to 24 nucleotides in length, are a class of conserved non-coding RNA molecules [
16]. The first miRNA was discovered in 1993 which was 13 years after the discovery of circRNA [
17]. However, miRNA was well-studied as compared to circRNA possibly owing to the ease of isolating and detection of miRNA in various body fluids [
18]. Their main mode of function is through complementary binding to the target gene 3′-UTR [
19,
20]. The miRNA-mRNA binding inhibits mRNA translation, thus promoting mRNA splicing and degradation [
20]. Both these RNA classes are associated with the progression of malignancies and other diseases [
21‐
23]. CircRNAs, significant molecules of the non-coding RNA family and they function as miRNAs sponges [
7]. circNRIP1, a widely studied mammalian circRNA, was found to regulate the expression of AKT1/mTOR, by sponging miR-149-5p and promote gastric cancer [
24]. Additionally, circNRIP1 regulates the PTP4A1/ERK1/2 pathway by sponging miR-629-3p, thus facilitating the migration and invasion of cervical cancer [
25]. The complex regulatory network between RNA and genes affects the progression of a variety of tumors such as non-small cell lung cancer and diffuse large B-cell lymphoma through various methods such as the epigenetic modification [
26‐
28]. CircRNA and miRNA are widely used in the tumor biomarkers studies because they are highly conserved evolutionarily. They display temporal and spatial specificity, in addition to exhibiting stable expression in tissues, and blood.
To identify effective gastric cancer biomarkers and further explore the biological mechanisms of gastric cancer progression, we analyzed miRNA and circRNA microarrays of paired samples of early-stage gastric cancer cases. Our study identified a new circRNA called hsa_circ_0069382, that has not been reported before. Hsa_circ_0069382 is the product of reverse splicing of exons 4–12 of the parental gene TBC1D19. We validated our findings in vivo and in vitro, and observed that hsa_circ_0069382 regulated the expression of the BTG anti-proliferation factor 2 (BTG2)/focal adhesion kinase (FAK) axis by sponging miR-15a-5p. This further influenced the proliferation, invasion and migration of gastric cancer. Therefore, hsa_circ_0069382 and miR-15a-5p have the potential to serve as diagnostic biomarkers or therapeutic targets for gastric cancer.
Materials and methods
Human subjects and cell culture
The gastric cancer and paraneoplastic tissues used for array analysis and qRT-PCR were all surgically resected specimens from the Department of Oncology of the First Hospital of Lanzhou University without radiotherapy and chemotherapy. Among them, eight paired tissues for miRNA microarray (Arraystar microRNA, Kangcheng Biological Co.) and nine paired tissues for circRNA microarray (Arraystar Human circRNA Array, Kangcheng Biological Co.) were all early-stage gastric cancer tissues and paraneoplastic tissues, and 68 paired tissues for qRT-PCR were obtained from progressive gastric cancer patients. All samples were frozen in liquid nitrogen immediately after surgical excision and later transferred to − 80 °C cryogenic refrigerator for storage till use. For immunohistochemistry, gastric adenocarcinoma tissue chips were purchased (Shanghai Outdo Biotech, China) which were preserved at − 80 °C till use. This study was approved by the ethics committee of the First Hospital of Lanzhou University (LDYYLL2021-148).
Normal human gastric mucosal epithelial cells (GES-1) and human gastric cancer cell lines namely, MKN-28, SGC-7901, MGC-803, MKN-45, AGS, and HGC-27, were used (Shanghai Yuchi Biological, Shanghai, China). Human embryonic kidney (HEK) 293 T cells were also used (GenePharma Biological, Shanghai, China). All cell lines were cultured according to the manufacturer's instructions at 37 °C and 5% CO2.
RNA extraction and qRT-PCR
TriQuick Reagent (Solarbio, R1100, China) was used for RNA extraction according to the manufacturer’s instructions. The Mir-X miRNA First-Strand Synthesis Kit (Takara, 638313, Japan) was used for the reverse transcription of miRNA. TransScript One-Step gDNA removal and cDNA synthesis superMix (TransScript, AT311, China) was used for reverse transcription of circRNA and the coding genes. The TransStart Top Green qPCR SuperMix (TransScript, AQ131, China) and Roche LightCycler 480 II (Roche, Switzerland) were used to perform qRT-PCR. U6 was used as an internal miRNA control and GAPDH was used as an internal control for circRNA, and the coding genes. Experiments were repeated three times independently. The primers are listed in Additional file
1: Table S5. qRT-PCR amplicons were analyzed using agarose gel electrophoresis. The Amersham Imager 680 was used for imaging gels.
Cell transfection and lentivirus packaging
MiR-15a-5p inhibitor, inhibitor negative control (NC), miR-15a-5p mimics, and NC mimics were used (Shanghai GenePharma Biological, Shanghai, China); their sequences are listed in Additional file
1: Table S5. Using Lipofectamine 2000 (Invitrogen, USA), miR-15a-5p inhibitor, inhibitor NC, miR-15a-5p mimics, and NC mimic were transfected into SGC-7901, MGC-803, MKN-45, AGS, and HGC-27 according to the manufacturer's protocol. A plasmid concentration of 60 nM in each well of a 6-well plate for transfection was used. qRT-PCR was used to determine the transfection efficiency.
The hsa_circ_0069382 DNA sequence (673 bp) was synthesized and inserted into the pGCMV/MCS/Neo/ Kan (PEX-3) vector (GenePharma, Shanghai, China) using EcoRI and BamHI restriction sites. The hsa_circ_0069382 vector constructed by GenePharma Biological Co., Ltd., was verified by sequencing. Using Lipofectamine 2000 (Invitrogen, 11668-019, USA), the overexpression hsa_circ_0069382 and control PEX-3 plasmid were transfected into gastric cancer cells according to the manufacturer's protocol. A final plasmid concentration of 40 nM in each well of a 6-well plate was used for transfection. qRT-PCR was used to determine the transfection efficiency.
Auxiliary packaging plasmids (pGag/Pol, pRev, and pVSV-G) were co-transfected with LV3 or LV5 lentivirus plasmids into 293 T cells, to obtain lentivirus particles overexpressing the target genes (miR-15a-5p, hsa_circ_0069382). Henceforth, these plasmids will be referred to name as LV3-miR and LV5-circ, respectively (GenePharma, Shanghai, China). The lentiviral titer was determined to be 109 TU/ml. A 24-well plate was seeded at a density of 2 × 10 SGC-7901 and AGS /well. When the cell confluency rate reached 40–60% in a well, lentivirus (1:50) and 5 μg/ml polybrene were added. Medium was changed at 24 h; the transfection results was observed and imaged under a fluorescence microscope (Olympus, Japan) at 48 and 72 h. The cell lines successfully transfected with the lentivirus were screened using puromycin.
Cell proliferation assay
The Cell Counting Kit-8 (ZOMANBIO, 5BG03D, Beijing, China) was used for cell proliferation assay of the gastric cell lines. In a 100 μl volume, 5000 cells/well were seeded in a 96-well plate. The Cell Counting Kit-8 reagent (10 μL) was added to each well at 0, 24, 48, 72, and 96 h, followed by an incubation at 37 °C for 1 h. Varioskan Flash (Thermo Fisher Scientific, MA, USA) was used to measure the absorbance at 450 nm. The cell proliferation curve was evaluated based on absorbance at each time point.
Wound healing assay
The cells were seeded in a 6-well plate. After transfection, at 90% confluency, they were scraped in a straight line with a pipette tip, washed twice with PBS and cultured in Opti-MEM (Gibco, 31985-070, USA) at 37 °C. Microscope images (Olympus, Japan) were documented at 0, 24, and 48 h after scraping. Image Pro Plus software was used to measure the scratch width. The following formulae were used to evaluate the healing rates:
24 h healing rate = (0 h scratch width−24 h scratch width)/0 h scratch width × 100%. 48 h healing rate = (0 h scratch width−48 h scratch width)/0 h scratch width × 100%.
Transwell migration and invasion assays
Transwell migration and invasion experiments were performed using an 8 diameter transwell chamber (Corning, USA). For the invasion assay, 0.5 mg/ml Matrigel (Corning, USA) was placed in the upper chamber. After an incubation at 37 °C for 2 h, 106 cells/ml cells per well were seeded in 100 µl of serum-free medium. Next, 500 μl FBS-containing medium was added to the lower chamber and incubated at 37 °C for 24 h. Cells were washed twice with PBS and fixed with methanol for 20 min (HGC-27 cells were fixed with methanol for 2 h). After staining with 0.1% crystal violet (Solarbio, G1062, China) for 20 min, the upper chamber was washed twice with PBS. The cells in the upper chamber were imaged using a microscope (Olympus, Japan). For the migration experiment, Matrigel was not added to the upper chamber; a protocol similar to the invasion assay was followed here as well.
Flow cytometry for cell apoptosis and cell cycle assays
For cell apoptosis analysis, 400 μl binding buffer was added to 106 cells/ml transfected gastric cancer cells. After adding 5 µl of Annexin V and 5 μl PI (BD, 556547, USA) each, samples were incubated for 15 min at 25 ℃ in the dark. The cells were analyzed via flow cytometry (Becton Dickinson, USA).
For the cell cycle assay, 106 cells/ml of transfected were fixed overnight at 4 °C with pre-cooled 70% ethanol. Next, 500 μl staining buffer, 25 μl PI (20 ×) staining solution, and 10 μl RNase A (50 ×) (Biosharp, BL114A) were added. After incubation at 37 °C for 30 min, cells were analyzed via flow cytometry.
The stably transfected gastric cancer cells were treated with 0.25% trypsin to form a single-cell suspension. Cells were cultured in a 10 cm culture dish at a density of 1000 cells/culture dish. After three weeks, cells were fixed for 20 min with formaldehyde. Crystal violet staining (0.1%) was performed for 15 min, after which the clones were imaged and counted.
FISH and confocal laser scanning microscopy
FISH was used (GenePharma, F12101, Shanghai, China) to detect hsa_circ_0069382 and miR-15a-5p localization (GenePharma, Shanghai, China) in the cancer cell lines. Hsa_circ_0069382 was detected using a FAM-labelled probe; miR-15a-5p Cy3-labelled probe was used for miR-15a-5p (Additional file
1: Table S5). Additionally, DAPI (Solarbio, China) was used for nuclear staining. A laser confocal microscope (Olympus, FV3000, Japan) was used to document the images.
RNase R treatment
Total RNA (1000 μg/μl, 4 μl) of GES-1, MKN-45, AGS, and HGC-27 was added to RNase R 2 μl (Geneseed Biotech, R0301, Guangzhou, China), 2 μl 10 × reaction buffer (Geneseed Biotech, R0301, Guangzhou, China), and 12 μl RNase-free water. The reaction mixture incubated first at 37 °C for 30 min and then at 70 °C for 10 min to inactivate the enzyme. RNase R was not added to the control. The treated RNA was subjected to reverse transcription and qRT-PCR.
Luciferase reporter assay
Wild-type (BTG2 and hsa_circ_0069382 genes are not mutated) and mutant vectors (BTG2 and hsa_circ_0069382 genes are mutated) were constructed with pmirGlo, (GenePharma, Shanghai, China), respectively. A positive control vector (pmirGlo, GenePharma, Shanghai, China) of the miR-15a-5p inhibitor and a negative control vector (pmirGlo, GenePharma, Shanghai, China) of NC-FAM were constructed. GP-transfect mate (GenePharma, Shanghai, China) was used as the transfection reagent. We co-transfected the miR-15a-5p mimics and reporter gene vectors into 293 T cells. A dual-luciferase reporter gene detection system kit (Promega, USA) and Synergy HTx multifunctional microplate reader (Biotek, USA) were used to obtain the data.
Western blotting
RIPA buffer (Solarbio, R0020, China) was used to extract cellular proteins. Pierce
™ BCA Protein Assay Kit (Thermo Fisher Scientific, 23227, USA) was used for protein quantification. Proteins were separated by SDS-PAGE and transferred to PVDF membranes (Thermo Fisher Scientific, 88520 and 88518) that were then blocked with 5% skied milk powder at room temperature for 2 h. The membranes were incubated overnight at 4 °C with BTG2 (1:600, Proteintech, China), FAK (1:1000, CST, USA), and GAPDH (1:2500, CST, USA) antibodies (Additional file
1: Table S5). Next, incubation with HRP-conjugated IgG antibodies (Thermo Fisher Scientific, 1:20000, USA) was carried out at 37 °C for 1 h. ECL chemiluminescence kit (Beyotime, P0018FS, China) was used to detect the visible bands. Amersham Imager 680 was used for imaging and ImageJ software was to quantify the bands. The list of antibodies is shown in Additional file
1: Table S5.
Immunochemistry
The gastric adenocarcinoma tissue chips (Shanghai Outdo Biotech Co., Ltd) contained 97 gastric adenocarcinoma and 83 paracancerous tissues. Immunochemistrical staining was performed with the BTG2 antibody (Abcam, 1:50, USA). The chips were scanned using a digital slide scanning system (3DHistech/Pannoramic Desk, Hungary). The data was analyzed using the Image Pro-plus software and the integrated optical density (IOD) was measured.
We purchased 30 SPF male BALB/c nude mice that were 8-week-old (GemPharmatech Biotechnology Co., Ltd. Jiangsu, China). Mice were maintained as per the SPF animal laboratory of good laboratory practice (GLP) at Lanzhou University. We state that our care for animals is in accordance with the guidelines of the First Hospital of Lanzhou University. SGC-7901 cells that were transfected with LV3, LV3-miR, LV5, and LV5-circ lentiviruses, were injected subcutaneously into the right armpit of mice (200 μl/mouse, cell suspension: matrix glue = 1:1, 5 × 106 cells/200 μl). The LV3 and LV3-miR groups contained seven mice each and the LV5 and LV5-circ groups contained eight mice. The long (L) and short (S) tumor diameters were measured every three days. The 30 mice were sacrificed after three weeks and tumor volume, and weight (volume = S2 × L) were measured. This study was approved by the ethics committee of the First Hospital of Lanzhou University (LDYYLL2021-148).
The expression and clinical data of miR-15a-5p, BTG2 and FAK were obtained from The Cancer Genome Atlas (TCGA) database (
https://portal.gdc.cancer.gov/). The ggplot2 package R (version 3.6.3) was used for analysis and visualization. miRDB (
http://www.mirdb.org/) [
29,
30], TargetMiner (
https://www.isical.ac.in/~bioinfo_miu/targetminer20.htm) [
31], TargetScan (
http://www.targetscan.org/vert_72/) [
32], and miRTarBase (
http://mirtarbase.mbc.nctu.edu.tw/index.html) [
33] were used to predict the target genes of miR-15a-5p. The Venny 2.1 online tool (
https://bioinfogp.cnb.csic.es/tools/venny/index.html) and Venn Diagram package of R (version 3.6.3) were used to create Venn diagrams. The Kmplot online tool (
https://kmplot.com/analysis) [
34,
35] was used to analyze the survival rate of patients with gastric cancer. The MCODE, cytoHuBTG2a, and CyTargetLinker plug-ins of the Cytoscape software [
36] (3.6.1) were used to construct a miRNA-mRNA interaction network and obtain the hub genes. Immunohistochemical staining images of the target genes were obtained from the Human Protein Atlas database (
https://www.proteinatlas.org/). The CircBank database (
http://www.circbank.cn/) [
37] was used to predict the upstream circular RNA of MIR-15A-5P. Rnahybrid 2.2 (
https://bibiserv.cebitec.uni-bielefeld.de/download/tools/rnahybrid.html) was used to predict the binding site of miR-15a-5p for hsa_circ_0006278, hsa_circ_0055954, and hsa_circ_0069382. The DB toolkit (
http://dbtoolkit.cistrome.org/) and the AnimalTFDB (
http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/) [
38] databases were used to predict the upstream transcription factors of hsa_circ_0069382. The IRESite database (
http://iresite.org/IRESite_web.php) [
38] was used to predict the internal ribosomal entry site (IRESs) of hsa_circ_0069382. The ORF finder (
https://www.ncbi.nlm.nih.gov/orffinder/) [
39] was used to identify the open reading frames (ORF) of hsa_circ_0069382.
Statistics
Experiments were repeated three times independently and the data is described as mean ± standard deviation. IBM SPSS Statistics 21.0 software was used for statistical analysis and GraphPad Prism 7 was used to illustrate the graphs. Paired Student’s t-tests were used to analyze the expression of 68 paired tissue samples, while unpaired Student's t-tests were used for the remaining data. Chi-square test was used to analyse classified data. Spearman’s correlation analysis was used to examine the potential correlations between miRNA and mRNA expressions. The following standard significance values were assigned for the statistical analysis: *p < 0.05, **p < 0.01, ***p < 0.001.
Discussion
In this study, we identified a new circRNA, hsa_circ_0069382, using a circRNA chip and circBank database. Using the circRNA chip, nine paired samples of gastric cancer and adjacent tissues were evaluated. A total of 5396 circRNAs were detected, of which 212 were upregulated and 54 were downregulated. Hsa_circ_0069382, also known as hsa_circTBC1D19_011, is a member of the circRNA family. Both RNase R digestion and qRT-PCR confirmed its circular structure (Fig.
4J–L). The gene is located on chromosome 4, and is 673 bp long. It belongs to exon circular RNA. Our study found that hsa_circ_0069382 is expressed at low levels in gastric cancer cell lines and tissues. As shown in Graphical Abstracts, high hsa_circ_0069382 expression inhibited gastric cancer cell proliferation, invasion, and migration by downregulating miR-15a-5p and FAK, and upregulating BTG2. High miR-15a-5p expression partially restored the effect of high hsa_circ_0069382. MiR-15a-5p is highly evolutionarily conserved. Many studies have shown that miR-15a-5p is highly expressed in various cancers. MiR-15a-5p inhibits the expression of the target gene by binding to its downstream 3’-UTR to promote tumorigenesis [
42,
43]. BTG2 is a downstream target molecule of miR-15a-5p, and many studies have shown that BTG2 regulates FAK expression in different cancers [
40,
41]. Changes in hsa_circ_0069382 and miR-15a-5p affected the level of FAK in the hsa_circ_0069382 and miR-15a-5p overexpression groups. Our results demonstrated that hsa_circ_0069382 and miR-15a-5p are potential diagnostic biomarkers and therapeutic targets for gastric cancer. CircRNAs are thought significant molecules of the non-coding RNA and they function as miRNAs sponges [
7]. circNRIP1, a attracted much attention circRNA, was found sponging miR-149-5p to regulate the expression of AKT1/mTOR, thereby promoting gastric cancer [
24]. Additionally, circNRIP1 also regulates the development of ovarian cancer, renal cancer, nasopharyngeal carcinoma, and other malignant tumors through other ceRNA mechanisms [
44‐
46]. In this study, we established that hsa_circ_0069382 regulates the expression of BTG2/FAK by sponging miR-15a-5p, thus affecting the proliferation, invasion, and migration of gastric cancer. Recent studies indicate that circRNAs can be used as a protein scaffold to directly regulate the expression of functional proteins [
47,
48]. Most circRNAs are localized in the nucleus; they link the target proteins and regulate their expression through the Ago 2 protein [
49]. Using FISH, we detected that hsa_circ_0069382 was expressed in both the nucleus and cytoplasm; however, it displayed stronger nuclear fluorescence (Fig.
4M). This suggested that in addition to sponging miR-15a-5p in the cytoplasm, it was possible for hsa_circ_0069382 to regulate potential nuclear proteins, thereby inhibiting gastric cancer.
Through bioinformatics analysis, we identified 58 potential transcription factors for hsa_circ_0069382 (Fig.
6T, Additional file
1: Table S4). Further research is needed to determine the nuclear role of hsa_circ_0069382 in the gastric cancer cells. Due to the lack of a 5'-cap structure and a 3'-A tail, circRNAs were considered not to translate proteins [
50]. Recently, it was shown that a few circRNAs have been translated into functional short peptides and proteins directly [
51]. Unlike the classical translation mechanism, circRNA translation requires an IRES or m6A methylation [
52]. Thus, circRNAs with IRESs and ORFs may be translated into proteins or peptides. Using the IRESite and ORF finder database, we found that hsa_circ_0069382 had 19 IRESs (Additional file
1: Table S6) and two ORFs (Additional file
1: Table S7). These results suggested that hsa_circ_0069382 may code for a protein. However, whether hsa_circ_0069382 does so in gastric cancer, requires further studies.
MiR-15a-5p has been identified as an early found miRNA. Several studies have shown that miRNAs play different roles in diverse types of tumors. Yang et al. found that circZNF609 promotes the proliferation, metastasis, and stem cell of hepatocellular carcinoma by downregulating miR-15a-5p [
53]. Guo et al. showed that lncRNA MEG8 promotes the proliferation of non-small cell lung cancer by downregulating miR-15a-5p [
54]. These studies highlighted the tumor-suppressive effect exerted by miR-15a-5p. However, as mentioned earlier, miR-15a-5p has a tumor-promoting effect in cervical cancer and acute lymphoblastic leukemia [
42,
43]. MiR-15a-5p expression may have spatial specificity, and it may play diverse roles in different tissues and cells. Our study confirmed that miR-15a-5p is highly expressed in gastric cancer tissues and cells, and promotes cancer by targeting the BTG2/FAK axis.
BTG2 belongs to the TOB/BTG gene family and has an anti-proliferative ability [
55]. BTG2 is highly expressed in the stomach, intestine, spleen, pancreas, and other organs of the body. It was found that BTG2 inhibit the transformation from G1/S phase to G2/M phase and proliferation, promote apoptosis, and induce DNA repair to inhibit thymocyte expansion. It also affected the differentiation of nerve and hematopoietic cells [
56]. Many studies have found that BTG2 is closely related to p53, p73, RB, and other tumor suppressor genes, it is downregulated in various tumors, such as gastric, laryngeal, and breast cancer [
57‐
59]. Our study found that the expression of BTG2 was downregulated in gastric cancer tissues and cells, and that miR-15a-5p regulated its expression.
FAK is a tyrosine kinase involved in cancer cell invasion and metastasis [
60]. It is regulated by a variety of signal transduction factors such as, cytokines, growth factors, integrins, and G protein-coupled receptors [
61]. Yoon et al. reported that FAK also regulated the stemness and drug resistance of liver cancer stem cells by affecting the extracellular signal-regulated kinase 1/2 (ERK1/2) [
62]. Our study found that FAK expression was lower in MKN-45, AGS, and HGC-27 cell line than in GES-1 cell line. Western blotting results showed that high miR-15a-5p expression increased FAK levels in AGS, while increased hsa_circ_0069382 expression had the opposite effect. Lentivirus transfection and western blotting demonstrated that miR-15a-5p promoted gastric cell invasion and migration by upregulating FAK, whereas hsa_circ_0069382 overexpression blocked this molecular axis. Low FAK expression in MKN-45, AGS, and HGC-27 cells should be investigated further.
In a word, our study showed that hsa_circ_0069382 regulated the expression of BTG2/FAK by sponging miR-15a-5p. However, there are some limitations in the study. First, FISH experiments showed that hsa_circ_0069382 was expressed in both the nucleus and cytoplasm of gastric cancer cells, and there seemed to be stronger fluorescence in the nucleus, but we only explored the mechanism of hsa_circ_0069382 in the cytoplasm of gastric cancer cells and did not explore its function in the nucleus. Second, we found that hsa_circ_0069382 had 19 IRES and 2 ORFs without verification on whether hsa_circ_0069382 encode the protein. In the future, we will further explore whether hsa_circ_0069382 plays a regulatory role in gastric cancer by encoding a micro-peptide protein.
In conclusion, our study showed that hsa_circ_0069382 sponged miR-15a-5p to regulate the expression of BTG2/FAK, affecting the proliferation, invasion, and migration of gastric cancer. Hsa_circ_0069382 and miR-15a-5p have potential as diagnostic markers and therapeutic targets for gastric cancer. The in-depth mechanism by which hsa_circ_0069382 regulates gastric cancer requires further research.
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