Open Access

Effects of downregulated expression of microRNA‑187 in gastric cancer

  • Authors:
    • Wenjing Chen
    • Yongxin Cui
    • Jiulong Wang
    • Yuqing Yuan
    • Xiangwei Sun
    • Liang Zhang
    • Shurong Shen
    • Jun Cheng
  • View Affiliations

  • Published online on: June 15, 2018     https://doi.org/10.3892/etm.2018.6318
  • Pages: 1061-1070
  • Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

microRNAs (miRNAs) are involved in cancer development and progression, and have regulatory roles as tumor suppressors or oncogenes. Although aberrant expression of miR‑187 has been observed in several types of cancer, its pathophysiological role and relevance to tumorigenesis in gastric cancer (GC) remains unknown. In the present study, the expression and biological role of miR‑187 was investigated in 32 specimens of GC tissues and their adjacent non‑tumorigenic controls, and the association between miR‑187 expression and clinical features of GC were analyzed further. Kaplan‑Meier survival curves determined the clinical significance of miR‑187 expression in GC. Following transfection with miR‑187 mimics, the biological functions of miR‑187 were determined by cell proliferation and cell cycle assays. Moreover, following transfection with miR‑187 mimics, the targets regulated by miR‑187 were investigated using western blotting. Luciferase reporter assays confirmed whether miR‑187 regulated MAD2 mitotic arrest deficient‑like 2 (MAD2L2) and stomatin (EPB72)‑like 2 (STOML2) expression. The data of the present study revealed that miR‑187 was significantly downregulated in GC compared with adjacent non‑tumorigenic counterparts. Furthermore, decreased expression of miR‑187 correlated with cell differentiation (P<0.05), TNM staging (P<0.05) and poor prognosis in GC patients. Functional studies indicated that miR‑187 overexpression evidently inhibited MGC‑803 cell proliferation in vitro and altered the cell cycle by arresting cells in the G0/G1 phase. In addition, the luciferase assay and western blotting revealed that MAD2L2 and STOML2 were targeted by miR‑187. In conclusion, it is suggested that miR‑187 functions as a tumor suppressor in GC, and is important in the development and progression of GC. Moreover, miR‑187 may be a potential biomarker and therapeutic target in GC.

Introduction

Gastric cancer (GC) is one of the most common malignancies, and is considered as the second leading cause of cancer-related mortality worldwide (1). Although the five-year post-operative survival rate of GC has improved to some extent and concordantly with advances made in specific treatment, the prognosis for GC remains very poor. Further clarification of the mechanism underlying GC development from the molecular level and seeking of novel biological cancer markers and effective therapeutic targets may aid in improving the prognosis of GC.

microRNAs (miRNAs) are a class of endogenous, small non-coding regulatory RNAs that are 19-25 nucleotides in length, and are known to be involved in the regulation of gene expression by repressing translation or by decreasing the stability of mRNAs (2). In total, >2,578 types of miRNA have been discovered, and they regulate ~1/3 of human protein-encoding genes (3). Accumulating evidence has indicated that miRNAs are important in numerous crucial biological processes, including cell proliferation, apoptosis and energy metabolism (2,4,5). Moreover, it has been previously reported that ~50% of miRNAs are located in the chromosomal regions that are known to be frequently deleted or amplified in human cancer cells (6). Previous studies revealed that miRNAs may function as oncogenes or tumor suppressors that are involved in tumorigenesis (7,8). In addition, emerging evidence has confirmed that aberrant expression of miRNAs in GC, including miR-21, miR-27a and miR-218, are involved in tumor growth, invasion and metastasis (911). These data have indicated the importance of miRNAs in GC development and have provided insights into the mechanisms that underlie tumorigenesis.

miR-187 has been revealed to be associated with numerous neoplasms (12,13). However, mir-187 is differentially expressed between normal and different cancer tissues, which has revealed the various effects of prognostic evaluation (13). Mulrane et al (12) reported that miR-187 expression in breast cancer leads to a more aggressive, rapidly progressing and invasive phenotype, which serves as an independent predictor of the outcome. However, Zhao et al (13) revealed that miR-187 was downregulated in renal cell carcinoma tissues, and lower miR-187 expression levels were associated with higher tumor grade and staging. To date, the expression of miR-187 and its clinical significance in GC remain poorly understood.

In the present study, the expression and clinical significance of miR-187 in the tissues of GC were explored. Cell proliferation in vitro and cell cycle phase analysis were further investigated by the ectopic expression of miR-187 in a GC cell-line. Furthermore, the potential target genes and their expression levels were determined. The observations of the present study may assist in the elucidation of the functions and pathophysiological roles of miRNA-187 and provide a formal basis for further research into the role of mir-187 in gastric carcinoma.

Materials and methods

Patients and tumor tissues

In total, 32 pairs of human gastric tissue samples were obtained from patients who underwent surgical resection in the Department of Gastrointestinal Surgery at the First Hospital of Wenzhou Medical College (Wenzhou, China) between 2008 and 2012. Patients were aged between 42 and 80 years, with a mean age of 65 years, and were diagnosed with GC based on histopathological evaluation. The matched normal adjacent tissue was obtained from a segment of the resected specimens that was the farthest from the tumor (i.e., >5 cm). The samples were snap-frozen in liquid nitrogen and stored at −80°C. None of the patients received chemotherapy or radiotherapy prior to surgical excision. In addition, the tumor histological grade was staged using the TNM staging of the International Union against Cancer/American Joint Committee on Cancer (AJCC) system (2002) (14). The study was then approved by the Research Ethics Committee of Wenzhou Medical College, and written informed consent was obtained from all patients.

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) quantification of miR-187

Total RNA was extracted from the specimens using TRIzol reagent (cat. no. 15596026; Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) following the manufacturer's instructions. In order to remove potentially contaminated DNA, the extracted RNA samples were further purified using DNase I reagent (Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. A NanoDrop2000 spectrophotometer (Thermo Fisher Scientific, Inc.) detected RNA purity by measuring the OD260/OD280 ratio and calculating the RNA concentration and purity. Only an OD260/OD280 ratio >1.8 was considered suitable for subsequent experiments. At last, the integrity of the RNA was checked by 1.0% denaturing agarose gel electrophoresis (Bio-Rad Laboratories, Inc., Hercules, CA, USA). Xue et al (15) reported a method of detecting miRNA by stem-loop qPCR, where GAPDH RNA was used as an endogenous control. Using this approach, the expression of miR-187 was analyzed in tissue samples. The first-strand cDNA synthesis was performed with the ReverTra Ace® qPCR RT kit (cat. no. FSQ-101; Toyobo Co., Ltd., Osaka, Japan) using 0.5 µg total RNA as the template and specific reverse primers at 16°C for 30 min, 42°C for 30 min and 95°C for 5 min of reverse transcription. The resulting cDNA was amplified by PCR using miRNA specific primers with SYBR® Green Real-Time PCR Master Mix (Toyobo Co., Ltd.) and was performed using an Eppendorf Mastercycler Ep Realplex (SABiosciences; Qiagen Sciences, Inc., Gaithersburg, MD, USA). The primers used for qPCR are listed in Table I. PCR parameters were as follows: 95°C for 5 min, followed by 40 cycles of 95°C for 10 sec, 60°C for 20 sec and 72°C for 20 sec. At the end of the PCR cycles, a melting curve analysis was performed, and PCR products were analyzed using 2.5% PAGE electrophoresis.

Table I.

RT-qPCR primer sequences for the amplification of miR-187 and GAPDH.

Table I.

RT-qPCR primer sequences for the amplification of miR-187 and GAPDH.

GenePrimerSequenceProduct (bp)
miR-187RT stem-loop 5′-GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACCCGGCTGC-3′61
Forward 5′-TCGTGGGTCGTGTCTTGTGTTGC-3′
Reverse 5′-GCAGGGTCCGAGGTATTC-3′
GAPDHForward 5′-CAGGGCTGCTTTTAACTCTGGTAA-3′101
Reverse 5′-GGGTGGAATCATATTGGAACATGT-3′

[i] RT-qPCR, reverse transcription-quantitative polymerase chain reaction; miR, microRNA; GAPDH, glyceraldehyde 3-phosphate dehydrogenase; bp, base pair.

The relative expression level of miR-187 in tissues was compared to the endogenous control or paired normal tissues. Thus, the 2−ΔCq and 2−ΔΔCq methods were used to evaluate the relative expression levels of the target (16). In these analyses; ΔCq=CqmiR-187-CqGAPDH, and ΔΔCq=[(CqmiR-187-CqGAPDH)tumor]-[(CqmiR-187-CqGAPDH)control]. When the data were calculated by the ΔΔCq method, the value of the relative expression ratio <1.0 was considered to be low expression in cancer relative to the control, and a ratio >1.0 was considered to indicate a high level of expression. Moreover, all qPCR assays were run in triplicate.

Cell line and culture conditions

MGC-803 is a poorly differentiated GC cell-line and was purchased from the Institute of Biochemistry and Cell Biology at the Chinese Academy of Sciences (Shanghai, China). MGC-803 cells were cultured in RPMI-1640 medium (Hyclone; GE Healthcare Life Sciences, Chalfont, UK) and were all supplemented with 10% fetal bovine serum (Hyclone; GE Healthcare Life Sciences), 50 U/ml penicillin-G (Invitrogen; Thermo Fisher Scientific, Inc.) and 50 µg/ml streptomycin sulfate (Invitrogen; Thermo Fisher Scientific, Inc.) at 37°C and 5% CO2 in the air.

RNA oligoribonucleotides and cell transfection

The miRNA mimics were designed and synthesized by the GenePharma Company (Shanghai, China). miR-187 mimics (Table II) were an RNA duplex and negative control (NC) RNA duplex and were non-homologous to any human genomic sequences. All the oligonucleotide sequences used in this experiment are listed in Table II. The mimic transfection was performed with Lipofectamine 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.) following the manufacturer's instructions. The GC cells were seeded into 6-well plates and were grown to 60-70% confluence before transfection. Moreover, transfection efficiency was then monitored using qPCR.

Table II.

Sequence of miR-187 mimics and negative control.

Table II.

Sequence of miR-187 mimics and negative control.

RNA oligoSequence
miR-187 mimic 5′-UCGUGUCUUGUGUUGCAGCCGG-3′
3′-UUAGCACAGAACACAACGUCGG-5′
Negative control 5′-UUCUCCGAACGUGUCACGUTT-3′
3′-TTAAGAGGCUUGCACAGUGCA-5′
Cell Counting Kit-8 (CCK-8) proliferation assay

The effect of miR-187 on the proliferation of GC cells was evaluated using the CCK-8 assay kit (Dojindo Molecular technologies, Inc., Kumamoto, Japan), according to the manufacturers instructions. MGC-803 cells were plated into 96-well plates at a density of 8×103 cells/well in three parts. After 24 h of static culture, the cells were transfected with miR-187 mimics and the negative control (NC) using Lipofectamine 2000. The cellular proliferation capacity for the untransfected blank control (Blank), cells transfected with miR-187 mimic NCs and cells transfected with miRNA-187 mimics were measured using the CCK-8 assay. Moreover, the transfected miRNA-187 mimics group was set to final concentrations of 20, 40 and 80 nM. The cells were then incubated for 24, 48 and 72 h at 37°C in an atmosphere of 5% CO2 in the air. Next, a total 10 µl of the CCK-8 solution was added to each well, and the cells were incubated for a further 4 h. The absorbance (A) values were determined using a spectrophotometer (EPOCH2; BioTeK Instruments, Inc., Winooski, VT, USA) at a wavelength of 450 nm, and the experiment was repeated three times. The inhibition rate of cell proliferation=1-(A450 nm of the study group/A450 nm of the control group) × 100%. In addition, the relative activity of the cells=A450 nm of the study group/A450 nm of the control group.

Cell cycle analysis

For the cell cycle analysis, cells were seeded into 6-well plates at a density of 2×105 cells/well, and transfected according to the protocol described above. The experimental groups and time points were set as described for the proliferation assay above. The cells were obtained after being cultured for an appropriate time by trypsinization, and were then pooled with the floating cells, centrifuged at 1,000 × g for 5 min at 4°C and stored at −20°C overnight. DNA staining solution that contained (PI) iodide and RNaseA reagent [MultiSciences (Lianke) Biotech Co., Ltd., Hangzhou, China] were added to the cells. Moreover, cell cycle analysis was performed by fluorescence-activated cell sorting flow cytometry using CellQuest software 1.0 (BD Biosciences, San Jose, CA, USA).

Western blot analysis

miR-187 mimics (5′-UCGUGUCUUGUGUUGCAGCCGG-3′; Applied Biological Materials, Inc., Richmond, BC, Canada) or negative control oligonucleotides (5′-UUCUCCGAACGUGUCACGUTT-3′; Applied Biological Materials, Inc.) at a concentration of 40 nM were transfected into GC MGC-803 cells using the Lipofectamine™ 2000 Transfection Reagent kit (cat. no. 11668019; Invitrogen; Thermo Fisher Scientific, Inc.) and cells were harvested 48 h after transfection. Proteins were extracted and separated on a 12% SDS-PAGE gel and transferred onto nitrocellulose membranes (Bio-Rad Laboratories, Inc.). The membrane was then blocked with 5% non-fat milk proteins and incubated with anti-MAD2L2 (cat. no. ab180579; 1:2,000), anti-STOML2 (cat. no. ab37531; 1:2,000; each Abcam, Cambridge, UK) or anti-β-actin antibody (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany). After being washed extensively, a goat anti-mouse secondary antibody (Pierce Biotechnology, Inc., Rockford, IL, USA) was added to the system. The proteins were detected using enhanced chemiluminescence reagents (cat. no. 32106; Pierce Biotechnology, Inc.). Protein expression levels were quantified using Image-Pro Plus 6.0 software (Media Cybernetics, Inc., Rockville, MD, USA).

Luciferase reporter assays

In order to verify the direct interaction of miR-187 to the target genes MAD2L2 and STOML2, human mRNA sequence were cloned into the pMIR-reporter construct (Ambion; Thermo Fisher Scientific, Inc.) in order to synthesize the luciferase reporter construct. Wild-type and mutant MAD2L2 and STOML2 mRNA fragments were amplified and sub-cloned into HindIII sites of the luciferase reporter, and luciferase reporter assays were performed as previously described (17). MGC803 cells were co-transfected with 50 nM single-stranded miRNA mimics or internal control oligonucleotides, then plated into 24-well plates with 10 ng pRL-TK (Promega Corporation, Madison, WI, USA) and 50 ng firefly luciferase reporter using the JetPRIME reagent (Polyplus-transfection) according to the manufacturer's instructions. Cells were collected at 48 h after transfection (performed as aforementioned) and analyzed using the Dual-Luciferase Reporter Assay System (Promega Corporation).

Immunohistochemistry

Paired paraffin-embedded tissue sections (n=20) were cut into 5-µm sections, deparaffinized in xylene and rehydrated in graded series of ethanols followed by heat-induced epitope retrieval in citrate buffer (pH 6.0). The expression levels of MAD2L2 and STOML2 were detected using polyclonal antibodies targeted to MAD2L2 (cat. no. ab180579; 1:50) and STOML2 (cat. no. ab37531; 1:50; each Abcam). Next, samples were incubated with horseradish peroxidase-conjugated secondary goat anti-mouse antibodies (cat. no. SPKIT-C7; Fuzhou Maixin Biotech Co., Ltd., Fuzhou, China) and visualized with 3,3′-diaminodbenzidine (Beijing Zhongshan Golden Bridge Biotechnology Co., Ltd., Beijing, China). Images obtained were processed using Image-Pro Plus 6.0 software (Media Cybernetics, Inc., Rockville, MD, USA).

Statistical analysis

The expression of miR-187 was calculated for paired groups (i.e., the tumor and paired non-tumor) were compared using non-parametric Wilcoxon tests. The statistical significance of correlation between the expression of miR-187 and the clinicopathological parameters was calculated using non-parametric tests (Mann-Whitney U test between two groups and Kruskall-Wallis test for three or more groups). The association between miR-187 expression and prognosis was analyzed using the Kaplan-Meier survival curve statistics. In the Kaplan-Meier survival curve, high expression was defined as the fold-change of >1 and low expression levels as <1 compared to the probability of survival by the Log-rank test. Statistical analysis was performed using SPSS 17.0 software (SPSS, Inc., Chicago, IL, USA). Differences were considered statistically significant at a value of P<0.05.

Results

Expression of miR-187 in GC tissues and matched non-tumor tissues

PCR products of miR-187 and GAPDH cDNA revealed a single band at the appropriate position (67 bp for miR-187 and 101 bp for GAPDH) on the electrophoretic gel (Fig. 1A). In addition, the melting curves of the products were sharply defined curves with a narrow peak (Fig. 1B). The combination of melting curves and gel electrophoresis confirmed PCR specificity. Furthermore, the expression of miR-187 in all 32 pairs of GC tissues and their matched non-cancerous tissues was detected using qPCR. As shown in Fig. 1C, the expression levels of miR-187 were lower in gastric tumors than in normal control tissues. The median relative expression levels of miR-187 was 0.031 (25-75th percentile, 0.013-0.102) in tumor samples, and was compared to that in non-tumor control samples, which was set at 0.086 (25-75th percentile, 0.028-0.192). Moreover, the difference in expression of miR-21 between the tumor and the control samples was statistically significant (P=0.037, Wilcoxon test).

Association between the expression of miR-187 and clinicopathological features of GC

Τhe association between miR-187 expression and the clinical and pathological characteristics of GC were explored further (Table III). The downregulated expression levels of miR-187 were associated with cell differentiation (P=0.042) and TNM stage (P=0.034) in GC patients. However, no significant association was identified between the expression of miR-187 and the demographic or clinical variables, including gender, age, tumor location, tumor size, depth of tumor invasion and lymph node metastasis (P>0.05). According to the relative expression levels of miR-187 of paired tumor and normal tissues, specimens with a relative expression level <1 were set as Group One, and specimens with a relative value ≥1 were set as Group Two. A Kaplan-Meier survival analysis illustrated that the cohort with higher expression levels of miR-187 demonstrated greater rates of survival than those with lower levels of expression of miR-187 (Fig. 2). Moreover, the 5-year survival rate for Group One was 66.7%, while that for Group Two was 13.5%.

Table III.

Association between the expression of miR-187 with clinicopathological features of gastric cancer.

Table III.

Association between the expression of miR-187 with clinicopathological features of gastric cancer.

Clinical characteristicsCases (n)miR-187 expressionaP-value
Age (years) 0.258
  <6080.60±0.63
  ≥60240.97±0.89
Sex 0.630
  Male230.86±0.87
  Female90.91±0.82
Tumor size (cm) 0.440
  <5260.88±0.91
  ≥560.87±0.53
Location 0.967
  Upper area40.59±0.17
  Middle area70.77±0.87
  Lower area210.96±0.92
T stage 0.500
  T1/T271.21±1.00
  T3100.72±0.63
  T4150.82±0.89
Cell differentiation 0.042
  Well or Moderately-differentiated91.45±0.92
  Poorly-differentiated230.65±0.71
Lymph node metastasis 0.090
  No91.21±0.86
  Yes230.74±0.82
N stage 0.270
  N131.65±1.18
  N2120.65±0.85
  N380.52±0.34
TNM stage 0.034
  I/II111.23±0.84
  III/IV210.69±0.80

a Mean of relative expression ± standard deviation. miR, microRNA; TNM, tumor node metastasis.

miR-187 inhibited cell proliferation and induced cell cycle arrest at the G0/G1 phase in vitro

The significant reduction in miR-187 expression in GC samples prompted us to explore the possible biological roles of miR-187 in the mechanism of tumorigenesis. Thus, the effect of miR-187 expressing again was investigated on the proliferative capacity of the GC cell-line. Compared with that of the cells transfected with either the negative or blank control, MGC-803 cells that were transiently transfected with miR-187 mimics had a significant growth inhibition to different degrees (P<0.05; Fig. 3A). Moreover, the cell vitality of GC cells was markedly associated with different transfected concentrations and was time-dependent (P<0.05; Fig. 3A). In order to investigate further whether inhibition of MGC-803 proliferation reflected cell cycle arrest, the progression of cell cycle phases was analyzed by PI staining and flow cytometry. The results revealed that MGC-803 cells that were dose-dependently transfected with miR-187 mimics had an evident effect on cell cycle arrest at the G0/G1 phase (Fig. 3B and C) as compared with the blank and the negative control group (P<0.05). However, the proportion of cells that were transfected with different doses of miR-187 mimics had little effect on the cell cycle phases (P>0.05).

miR-187 targets MAD2L2 and STOML2

As miRNAs function mainly through the inhibition of target genes, the target of miR-187 that functions in the pathogenesis of GC was further analyzed. Based on previously published CLASH data, which provided direct experimental data of miRNA-targeted pairs (18), MAD2L2, STOML2 and tubulin, γ 1 (TUBG1) were identified as potential targets of miR-187. In order to confirm whether these genes that had been regulated by miR-187 were involved in the pathogenesis of GC, MGC-803 cells were transfected with miR-187 mimics or negative control oligonucleotides, and the protein expression levels of the genes were examined by western blotting. Data indicated that the expression of MAD2L2 and STOML2 were consistently and substantially downregulated by the ectopic expression of miR-187, whereas TUBG1 expression was not significantly affected by miR-187 (Fig. 4A).

Luciferase reporter assay

In order to verify the interaction between miR-187, MAD2L2 and STOML2, luciferase reporter assays were performed in MGC803 cells. The luciferase reporter plasmid with sequences of MAD2L2 and STOML2 mRNA or mutant sequences were co-transfected into MGC803 cells for 48 h with miR-187 or NC, respectively. Moreover, the luciferase activity was measured in transfected cells. The results demonstrated that the reporter plasmid of MAD2L2 and STOML2 mRNA caused a significant decrease in the luciferase activity in cells that were transfected with miR-187. By contrast, the luciferase activity of the reporter plasmid with mutant sequences of MAD2L2 and STOML2 did not change (Fig. 4B). Furthermore, GC tissues with a low miR-187 demonstrated much higher MAD2L2 and STOML2 expression when compared with paired normal gastric tissues (Fig. 5). Altogether, the results suggested that MAD2L2 and STOML2 was the target of miR-187 in GC cells.

Discussion

Accumulating evidence has indicated that the abnormal expression of miR-187 is closely associated with cancer cell proliferation and apoptosis, and that they may serve as tumor suppressors or oncogenes (19,20). Previously, numerous studies have shown that miR-187 is anomalously expressed in various tumor types, including thyroid (21), nasopharyngeal carcinoma (22), esophageal (23) and pancreatic cancer (24) and neuroblastoma cell tumors (25). However, in different cancers, the changes in expression of miR-187 varied greatly, indicating that it may be involved in carcinogenesis and progression in a specific way.

A previous study demonstrated that miR-187 that was downregulated in tumor tissue was involved in ovarian cancer progression (26). Mulrane et al (12) revealed that the expression levels of miR-187 in breast cancer tissue was correlated with breast cancer invasion, and could be used as an independent prognostic factor. However, the expression level and the biological impact of miR-187 in GC remain unclear. In order to investigate the association of miR-187 and GC pathogenesis, qPCR was used to profile the expression of miR-187 in 32 matched gastric tumor tissues, and clarified the association between miR-187 and the clinicopathological characteristics of GC.

In the present study, the expression of miR-187 was found to be downregulated in gastric tumors compared to non-tumor tissues. Besides, miR-187 expression was associated with cell differentiation and TNM staging in GC patients. In addition, the Kaplan-Meier survival analysis illustrated that the cohort with a higher expression of miR-187 demonstrated higher survival rates than those cells with lower levels. These results indicated that miR-187 is important in the development and progression of GC. In view of the above, miR-187 is speculated to function as a tumor suppressor in GC, and the downregulation of miR-187 may promote its occurrence and development of GC.

To further clarify this point, the biological function of miR-187 was investigated. Deregulated cell proliferation is a key biological characteristic of neoplastic progression (27). In the present study, miR-187 mimics were transfected into MGC-803 cells, then the cell proliferation ability was evaluated. The CCK-8 assay data indicated that the overexpression of miR-187 could suppress the proliferation of GC cells. However, the reason for miR-187 induced inhibition of cell proliferation remains to be investigated. Overall, cell cycle arrest was likely to be an important factor (28,29). Indeed, the subsequent cell cycle analyses of the present study revealed that MGC-803 cells that were transfected with miR-187 mimics had an evident cell cycle arrest at the G0/G1 phase. Nevertheless, the proportion of cells of the different transfected groups demonstrated no difference. It is likely that the process of cell cycle arrest induced by miR-187 was influenced by another molecular mechanism since indirect regulation and miRNA may have complex roles that may formally involve multiple aspects and factors in cell cycle regulation.

The main function of miRNA is to regulate target gene expression by direct cleavage of the mRNA or by inhibition of protein synthesis according to the degree of complementarities with the 3′untranslated region of target genes (30,31). Perfect or nearly perfect base-pairing induced targeted mRNA cleavage whereas imperfect base pairing induced mainly translational silencing of the target (32). Chao et al (26) demonstrated that miR-187 inhibited the epithelial-mesenchymal transition process and migration by targeting Dab2 in ovarian cancer cells. Furthermore, Mulrane et al (12) reported that miR-187 regulated collagenase (matrix metallopeptidase 13) expression by either direct or indirect pathways in breast cancer, and that this pathway may have also been involved in the migration of tumor cells. Moreover, Sirotkin et al (33) revealed that overexpression of miR-187 could reduce the expression of the apoptosis-related B-cell lymphoma 2-associated X protein and the proliferation marker proliferating cell nuclear antigen in human ovarian granulosa cells. However, whether or not other target genes are responsible for the effect in GC is currently unknown.

A recent advance in high-throughput direct mapping of miRNA-mRNA binding sites from CLASH experiments directly identified the miRNA-mRNA target pairs that were associated with the human AGO1 protein, and presents an improved determination of the miRNA target (18). Based on the CLASH experiment data and combined with the analysis of miR-187 interference, MAD2L2 and STOML2 were consistently and substantially downregulated by the ectopic expression of miR-187.

In the present study, luciferase reporter assays further confirmed the interaction between miR-187, MAD2L2 and STOML2. Thus, MAD2L2 and STOML2 could be considered to be potential targets that were involved in the development of GC. It has been demonstrated that MAD2L2, which is a member of a family of genes involved in mitotic checkpoint control mechanisms, were significantly upregulated in colon cancer as compared to matched normal tissue (34). In addition, tumors that show upregulated MAD2L2 expression had significantly higher numbers of aberrant mitotic figures (anaphase bridges), an indication of chromosomal instability and a poor prognosis in colorectal cancer (34). STOML2 is a member of the stomatin superfamily, and has been identified as an oncogenic-related protein, whose functional expression is enhanced in numerous cancer types (3538). Moreover, overexpression of STOML2 has been reported in the tissues of GC compared with the adjacent normal gastric epithelium. In addition, a high-level STOML2 expression was significantly correlated with the depth of invasion, lymph node and distant metastasis, and staging according to the AJCC and poor prognosis in GC (39).

The present data revealed that the expression of MAD2L2 and STOML2 were significantly inhibited in MGC-803 cells transfected with miR-187 mimics. Furthermore, high levels of expression of MAD2L2 and STOML2 were also confirmed in GC tissues compared with adjacent normal tissues. These results provided insights into the regulatory mechanism of miR-187 in GC. Downregulation of miR-187 in GC cells resulted in enhanced expression of its target genes, which may consequently favor tumor progression. However, miRNA displays multi-target characteristics, and has complex regulatory networks that are involved in numerous aspects of biological functions (2,40,41). Therefore, the consequent molecular mechanism of miR-187 remains to be further investigated.

In conclusion, the present study demonstrated that there was a significantly reduced expression of miR-187 in GC tissues compared with their non-tumor counterparts. Moreover, the expression of miR-187 was associated with the degree of cell differentiation, pathological staging and prognosis in GC patients. The data of the present study also indicated that miR-187 could inhibit cell proliferation in vitro, and could induce cell cycle arrest at the G0/G1 phase. To the best of our knowledge, the present study confirmed the tumor suppressive roles of miR-187 in GC for the first time, and provided evidence for the potential utility of miR-187 as a biomarker and therapeutic target against GC.

Acknowledgements

Not applicable.

Funding

The present study was supported by grants from the National Natural Science Foundation of China (grant nos. 81472308 and31470891), the Zhejiang Provincial Natural Science Foundation of China (grant nos. Y2100909 and LY12H05003), the Jinhua Science and Technology Bureau (grant no. 2012-3-005) and the Zhejiang Science and Technology Bureau (grant nos. 2012C33126, 2012C37080 and 2010C33094). These sponsors provided funding for the experiments and the collection of specimens.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

All authors have approved this manuscript and agreed to be accountable for all aspects of this work. WC, JC and SS contributed in the conception and design and revision of the manuscript, the acquisition, analysis and interpretation of data. XS and LZ prepared the initial draft of the manuscript, contributed in the acquisition, analysis and interpretation of data, and helped perform the cell biology experiments. YC, JW and YY made substantial contributions to conception and design, acquisition of data, and analysis of data, and performed the western blot experiments.

Ethics approval and consent to participate

The present study was approved by the Research Ethics Committee of Wenzhou Medical College and written informed consent was obtained from all patients.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Crew KD and Neugut AI: Epidemiology of gastric cancer. World J Gastroenterol. 12:354–362. 2006. View Article : Google Scholar : PubMed/NCBI

2 

Bartel DP: MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004. View Article : Google Scholar : PubMed/NCBI

3 

Chan JA, Krichevsky AM and Kosik KS: MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells. Cancer Res. 65:6029–6033. 2005. View Article : Google Scholar : PubMed/NCBI

4 

Care A, Catalucci D, Felicetti F, Bonci D, Addario A, Gallo P, Bang ML, Segnalini P, Gu Y, Dalton ND, et al: MicroRNA-133 controls cardiac hypertrophy. Nat Med. 13:613–618. 2007. View Article : Google Scholar : PubMed/NCBI

5 

Wan HY, Guo LM, Liu T, Liu M, Li X and Tang H: Regulation of the transcription factor NF-kappaB1 by microRNA-9 in human gastric adenocarcinoma. Mol Cancer. 9:162010. View Article : Google Scholar : PubMed/NCBI

6 

Calin GA, Sevignani C, Dumitru CD, Hyslop T, Noch E, Yendamuri S, Shimizu M, Rattan S, Bullrich F, Negrini M and Croce CM: Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. Proc Natl Acad Sci USA. 101:2999–3004. 2004. View Article : Google Scholar : PubMed/NCBI

7 

Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F, Visone R, Iorio M, Roldo C, Ferracin M, et al: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 103:2257–2261. 2006. View Article : Google Scholar : PubMed/NCBI

8 

Calin GA and Croce CM: MicroRNA-cancer connection: The beginning of a new tale. Cancer Res. 66:7390–7394. 2006. View Article : Google Scholar : PubMed/NCBI

9 

Liu T, Tang H, Lang Y, Liu M and Li X: MicroRNA-27a functions as an oncogene in gastric adenocarcinoma by targeting prohibitin. Cancer Lett. 273:233–242. 2009. View Article : Google Scholar : PubMed/NCBI

10 

Tie J, Pan Y, Zhao L, Wu K, Liu J, Sun S, Guo X, Wang B, Gang Y, Zhang Y, et al: MiR-218 inhibits invasion and metastasis of gastric cancer by targeting the Robo1 receptor. PLoS Genet. 6:e10008792010. View Article : Google Scholar : PubMed/NCBI

11 

Zhang Z, Li Z, Gao C, Chen P, Chen J, Liu W, Xiao S and Lu H: miR-21 plays a pivotal role in gastric cancer pathogenesis and progression. Lab Invest. 88:1358–1366. 2008. View Article : Google Scholar : PubMed/NCBI

12 

Mulrane L, Madden SF, Brennan DJ, Gremel G, McGee SF, McNally S, Martin F, Crown JP, Jirström K, Higgins DG, et al: miR-187 is an independent prognostic factor in breast cancer and confers increased invasive potential in vitro. Clin Cancer Res. 18:6702–6713. 2012. View Article : Google Scholar : PubMed/NCBI

13 

Zhao J, Lei T, Xu C, Li H, Ma W, Yang Y, Fan S and Liu Y: MicroRNA-187, down-regulated in clear cell renal cell carcinoma and associated with lower survival, inhibits cell growth and migration though targeting B7-H3. Biochem Biophys Res Commun. 438:439–444. 2013. View Article : Google Scholar : PubMed/NCBI

14 

Greene FL, Page DL, Fleming ID, Fritz AG, Balch CM, Haller DG and Morrow M: AJCC Cancer staging manual: TNM classification of malignant tumors. 6th. New York: Springer-Verlag; 2002, View Article : Google Scholar

15 

Xue X, Sun J, Zhang Q, Wang Z, Huang Y and Pan W: Identification and characterization of novel microRNAs from Schistosoma japonicum. PLoS One. 3:e40342008. View Article : Google Scholar : PubMed/NCBI

16 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

17 

Liu L and Eisenman RN: Regulation of c-Myc protein abundance by a protein phosphatase 2A-Glycogen synthase kinase 3β-Negative feedback pathway. Genes Cancer. 3:23–36. 2012. View Article : Google Scholar : PubMed/NCBI

18 

Helwak A, Kudla G, Dudnakova T and Tollervey D: Mapping the human miRNA interactome by CLASH reveals frequent noncanonical binding. Cell. 153:654–665. 2013. View Article : Google Scholar : PubMed/NCBI

19 

Cheng AM, Byrom MW, Shelton J and Ford LP: Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis. Nucleic Acids Res. 33:1290–1297. 2005. View Article : Google Scholar : PubMed/NCBI

20 

Park SY, Lee JH, Ha M, Nam JW and Kim VN: miR-29 miRNAs activate p53 by targeting p85α and CDC42. Nat Struct Mol Biol. 16:23–29. 2008. View Article : Google Scholar : PubMed/NCBI

21 

Nikiforova MN, Tseng GC, Steward D, Diorio D and Nikiforov YE: MicroRNA expression profiling of thyroid tumors: Biological significance and diagnostic utility. J Clin Endocrinol Metab. 93:1600–1608. 2008. View Article : Google Scholar : PubMed/NCBI

22 

Chen HC, Chen GH, Chen YH, Liao WL, Liu CY, Chang KP, Chang YS and Chen SJ: MicroRNA deregulation and pathway alterations in nasopharyngeal carcinoma. Br J Cancer. 100:1002–1011. 2009. View Article : Google Scholar : PubMed/NCBI

23 

Wijnhoven B, Hussey DJ, Watson DI, Tsykin A, Smith C and Michael MZ: South Australian Oesophageal Research Group; MicroRNA profiling of Barrett's oesophagus and oesophageal adenocarcinoma. Br J Surg. 97:853–861. 2010. View Article : Google Scholar : PubMed/NCBI

24 

Bloomston M, Frankel WL, Petrocca F, Volinia S, Alder H, Hagan JP, Liu CG, Bhatt D, Taccioli C and Croce CM: MicroRNA expression patterns to differentiate pancreatic adenocarcinoma from normal pancreas and chronic pancreatitis. JAMA. 297:1901–1908. 2007. View Article : Google Scholar : PubMed/NCBI

25 

Chen Y and Stallings RL: Differential patterns of microRNA expression in neuroblastoma are correlated with prognosis, differentiation, and apoptosis. Cancer Res. 67:976–983. 2007. View Article : Google Scholar : PubMed/NCBI

26 

Chao A, Lin CY, Lee YS, Tsai CL, Wei PC, Hsueh S, Wu TI, Tsai CN, Wang CJ, Chao AS, et al: Regulation of ovarian cancer progression by microRNA-187 through targeting Disabled homolog-2. Oncogene. 31:764–775. 2011. View Article : Google Scholar : PubMed/NCBI

27 

Evan GI and Vousden KH: Proliferation, cell cycle and apoptosis in cancer. Nature. 411:342–348. 2001. View Article : Google Scholar : PubMed/NCBI

28 

Sánchez CA, Rodríguez E, Varela E, Zapata E, Paez A, Massó FA, Montaño LF and Lóopez-Marure R: Statin-induced inhibition of MCF-7 breast cancer cell proliferation is related to cell cycle arrest and apoptotic and necrotic cell death mediated by an enhanced oxidative stress. Cancer Invest. 26:698–707. 2008. View Article : Google Scholar : PubMed/NCBI

29 

Park WH, Lee YY, Kim ES, Seol JG, Jung CW, Lee CC and Kim BK: Lovastatin-induced inhibition of HL-60 cell proliferation via cell cycle arrest and apoptosis. Anticancer Res. 19:3133–3140. 1999.PubMed/NCBI

30 

Zamore PD and Haley B: Ribo-gnome: The big world of small RNAs. Science. 309:1519–1524. 2005. View Article : Google Scholar : PubMed/NCBI

31 

Mattick JS and Makunin IV: Non-coding RNA. Hum Mol Genet. 15:R17–R29. 2006. View Article : Google Scholar : PubMed/NCBI

32 

He L and Hannon GJ: MicroRNAs: Small RNAs with a big role in gene regulation. Nat Rev Genet. 5:522–531. 2004. View Article : Google Scholar : PubMed/NCBI

33 

Sirotkin AV, Lauková M, Ovcharenko D, Brenaut P and Mlynček M: Identification of microRNAs controlling human ovarian cell proliferation and apoptosis. J Cell Physiol. 223:49–56. 2010.PubMed/NCBI

34 

Rimkus C, Friederichs J, Rosenberg R, Holzmann B, Siewert JR and Janssen KP: Expression of the mitotic checkpoint gene MAD2L2 has prognostic significance in colon cancer. Int J Cancer. 120:207–211. 2007. View Article : Google Scholar : PubMed/NCBI

35 

Cao W, Zhang B, Liu Y, Li H, Zhang S, Fu L, Niu Y, Ning L, Cao X, Liu Z and Sun B: High-level SLP-2 expression and HER-2/neu protein expression are associated with decreased breast cancer patient survival. Am J Clin Pathol. 128:430–436. 2007. View Article : Google Scholar : PubMed/NCBI

36 

Cao WF, Zhang LY, Liu MB, Tang PZ, Liu ZH and Sun BC: Prognostic significance of stomatin-like protein 2 overexpression in laryngeal squamous cell carcinoma: Clinical, histologic, and immunohistochemistry analyses with tissue microarray. Hum Pathol. 38:747–752. 2007. View Article : Google Scholar : PubMed/NCBI

37 

Wang Y, Cao W, Yu Z and Liu Z: Downregulation of a mitochondria associated protein SLP-2 inhibits tumor cell motility, proliferation and enhances cell sensitivity to chemotherapeutic reagents. Cancer Biol Ther. 8:1651–1658. 2009. View Article : Google Scholar : PubMed/NCBI

38 

Zhang L, Ding F, Cao W and Liu Z, Liu W, Yu Z, Wu Y, Li W, Li Y and Liu Z: Stomatin-like protein 2 is overexpressed in cancer and involved in regulating cell growth and cell adhesion in human esophageal squamous cell carcinoma. Clin Cancer Res. 12:1639–1646. 2006. View Article : Google Scholar : PubMed/NCBI

39 

Liu D, Zhang L, Shen Z, Tan F, Hu Y, Yu J and Li G: Increased levels of SLP-2 correlate with poor prognosis in gastric cancer. Gastric Cancer. 16:498–504. 2013. View Article : Google Scholar : PubMed/NCBI

40 

Brennecke J, Stark A, Russell RB and Cohen SM: Principles of microRNA-target recognition. PLoS Biol. 3:e852005. View Article : Google Scholar : PubMed/NCBI

41 

Brodersen P and Voinnet O: Revisiting the principles of microRNA target recognition and mode of action. Nat Rev Mol Cell Biol. 10:141–148. 2009. View Article : Google Scholar : PubMed/NCBI

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August-2018
Volume 16 Issue 2

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Copy and paste a formatted citation
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Spandidos Publications style
Chen W, Cui Y, Wang J, Yuan Y, Sun X, Zhang L, Shen S and Cheng J: Effects of downregulated expression of microRNA‑187 in gastric cancer. Exp Ther Med 16: 1061-1070, 2018.
APA
Chen, W., Cui, Y., Wang, J., Yuan, Y., Sun, X., Zhang, L. ... Cheng, J. (2018). Effects of downregulated expression of microRNA‑187 in gastric cancer. Experimental and Therapeutic Medicine, 16, 1061-1070. https://doi.org/10.3892/etm.2018.6318
MLA
Chen, W., Cui, Y., Wang, J., Yuan, Y., Sun, X., Zhang, L., Shen, S., Cheng, J."Effects of downregulated expression of microRNA‑187 in gastric cancer". Experimental and Therapeutic Medicine 16.2 (2018): 1061-1070.
Chicago
Chen, W., Cui, Y., Wang, J., Yuan, Y., Sun, X., Zhang, L., Shen, S., Cheng, J."Effects of downregulated expression of microRNA‑187 in gastric cancer". Experimental and Therapeutic Medicine 16, no. 2 (2018): 1061-1070. https://doi.org/10.3892/etm.2018.6318