Literature DB >> 28339011

Reduction of miR‑132‑3p contributes to gastric cancer proliferation by targeting MUC13.

Liang He1, Linlin Qu2, Lijing Wei2, Yan Chen1, Jian Suo1.   

Abstract

Abnormal expression of epidermal growth factor receptor (EGFR) signaling and microRNAs (miRNAs) has been widely seen in gastric cancer. The present study focused on the miRNAs that regulate human epidermal growth factor receptor (HER) activation through mucin 13 (MUC13). The protein level of MUC13 was demonstrated to be significantly increased in gastric cancer tissues compared with normal tissues by western blot analysis and immunohistochemistry. TargetScan bioinformatic predictions indicated that miRNA (miR)‑212‑3p and miR‑132‑3p may bind to the 3'‑untranslated region of MUC13. Further investigation revealed that miR‑132‑3p was significantly decreased in gastric cancer tissues compared with normal tissues, whereas miR‑212‑3p expression was unaffected. Luciferase assays and western blot confirmed MUC13 as a target gene of miR‑132‑3p. Inhibition of miR‑132‑3p enhanced gastric cancer cell migration through activation of HER2, extracellular signal‑regulated kinase (ERK) and Akt serine/threonine kinase (Akt) signaling, which was a similar effect to that of MUC13 overexpression. In summary, reduction of miR‑132‑3p may contribute to gastric cancer proliferation by targeting MUC13.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28339011      PMCID: PMC5428394          DOI: 10.3892/mmr.2017.6347

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


Introduction

Gastric cancer is one of the most common malignant tumors worldwide, causing ~738,000 deaths in 2008 (1). Major contributory factors to gastric cancer include Helicobacter pylori infection, diet, alcoholic consumption and smoking (2,3). Receptor tyrosine kinase (RTK) pathways have key roles in the progression of various tumors (4–6), with aberrant epidermal growth factor receptor (EGFR) signaling demonstrated to be particularly common (7); EGF family proteins have been revealed to be significantly overexpressed in >60% of tumors (8,9). The main EGF family members include EGFR [also termed human epidermal growth factor receptor 1 (HER1)], HER2 (also termed ErbB2), HER3 (also termed ErbB3) and HER4 (also termed ErbB4). EGFR and HER2 are often significantly upregulated in gastric cancer, and are considered to be well-established oncogenes (10). Mucin 13 (MUC13) has also been demonstrated to be aberrantly upregulated in various tumors (11–13). Exogenous expression of MUC13 contributes to abnormal cell proliferation, motility and tumor growth (13), and overexpression of MUC13 results in the activation of HER2, extracellular signal-regulated kinase (ERK) and Akt serine/threonine kinase (Akt), and the reduction of p53 expression (12). However, few studies have, thus far, investigated the expression of MUC13 in gastric cancer. MicroRNAs (miRNAs) are small non-coding RNAs that widely control gene expression at the post-transcriptional level (14–16). Due to the oncogenic or tumor suppressive roles of miRNAs, abnormal expression can lead to the initiation, formation and progression of tumors. For example, numerous miRNAs are differentially expressed in gastric cancer, including miRNA-199a-3p (miR-199a-3p), miR-429 and miR-34a (14–16). The present study aimed to investigate miRNAs that regulate the expression of MUC13 in gastric cancer.

Materials and methods

Patient selection and biopsy collection

In the present study, biopsies were taken from both tumor tissue and the adjacent normal tissue of 40 patients receiving adenocarcinoma surgery of the stomach or esophageal junction. Samples were collected from July 2012 to November 2014 and written consent was provided by all individuals. The collection of biopsies was approved by the Ethics Committee of the First Hospital of Jilin University (Changchun, China) in accordance with the Declaration of Helsinki. All biopsy samples were reviewed by an experienced pathologist to validate the diagnosis.

Immunohistochemistry

Paraffin-embedded tissues fixed in 4% buffered paraformaldehyde were cut into 5 µm sections and washed three times (5 min per wash) in phosphate-buffered saline (PBS), then incubated in 3% H2O2 for 30 min at room temperature. Sections were blocked by incubation with 10% goat serum in PBS (Origene Technologies, Inc., Rockville, MD, USA) for 30 min at 37°C, then incubated with the MUC13 primary antibody (1:80; catalog no. ab124654; Abcam, Cambridge, UK) for 24 h at 4°C. Sections were washed with PBS, then incubated with secondary antibody (biotin-labelled goat anti-mouse immunoglobulin G; 1:200; catalog no. SP-9000D; Origene Technologies, Inc.) for 1 h at 4°C. Following washing with PBS, sections were incubated with horseradish peroxidase conjugated streptavidin (1:200) for 1 h at room temperature, then with diaminobenzidine/H2O2 for 15 min at room temperature. Following dehydration in gradient alcohol, and transparentizing in xylene, sections were mounted with glycerol and observed under a microscope. In control sections, the primary antibody was replaced with 1% calf serum (Origene Technologies, Inc.).

Cell culture

Gastric cancer cell line, MKN28 was purchased from American Type Culture Collection (ATCC, Manassas, VA, USA) and cultured in RPMI-1640 (GE Healthcare Life Sciences, Logan, UT, USA) supplemented with 10% fetal bovine serum (FBS; Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), streptomycin (100 mg/ml) and penicillin (100 U/ml) at 37°C in a humidified atmosphere containing 5% CO2. Recent reports have suggested that the MKN28 gastric carcinoma cell line used in this study is contaminated with another gastric carcinoma cell line, MKN74 (17).

RNA extraction

Total RNA was extracted from gastric tissues or MKN28 cells using TRIzol reagent according to the manufacturers' instructions (Thermo Fisher Scientific, Inc., Waltham, MA, USA).

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was reverse transcribed using Takara MicroRNA Reverse Transcription Kit (Takara Bio, Inc., Otsu, Japan) with specific primers for miR-132-3p (GTC GT ATC CAG TGC AGG GTC CGA GGT ATT CGC ACT GGA TAC GAC CGA CC) and U6 (GTC GTAT CCA GTG CAG GGT CCG AGG TAT TCG CAC TGG ATA CGA CAA ATA T). Subsequently, the PCR amplification was performed. 1 mg of cDNA was used for qPCR using SYBR green Master mix (Roche Diagnostics, Basel, Switzerland) on a Roche Lightcycler 480 (Roche Diagnostics) at 95°C for 10 min followed by 50 cycles of 95°C for 10 sec, 55°C for 10 sec, 72°C for 5 sec; 99°C for 1 sec; 59°C for 15 sec; 95°C for 1 sec; then cooling to 40°C. Relative miRNA expression of miR-132-3p was normalized against the endogenous control, U6, using the Δ-Δ Cq method (18).

Transient transfection

A total of 6×105 cells were equally seeded in the 6-well plates with 2 ml RPMI-1640 culture medium containing serum and antibiotics. At the same time, miR-132-3p mimic, inhibitor, miR negative control or siRNA targeting MUC13 (CCA GCU UGU UGA GGU AGA AGU AGU A) or non-target control siRNA (Shanghai GenePharma Co., Ltd., Shanghai, China) were mixed with HiperFect transfection reagent (Qiagen GmbH, Hilden, Germany) and incubated at room temperature for 10 min. The complex was then transfected into MKN28 cells for 48 h.

Cell viability analysis

To examine cell viability, MKN28 cells were seeded in 96-well plates at a density of 1.0×104 cells/per well. miR-132 mimics, inhibitors or a scramble/non-targeting oligo negative control (NC) were transfected into cells at 24, 48, 72 h after seeding of cells. MTT assay was performed as previously described (19).

Adenovirus vector construction and transfection

The adenovirus vector (Ad)-MUC13 and Ad-control (Ad-con) were purchased from the Chinese National Human Genome Center (Beijing, China). In brief, 6×105 cells were equally seeded in the 6-well plates with 2 ml RPMI-1640 culture medium containing serum and antibiotics. Following 24 h, the cells were transfected with Ad-MUC13 or Ad-con at the density of 100 multiplicity of infection (MOI) for 48 h. The transfection efficiency was calculated as the green fluorescent protein-positive cells/all cells in each field ×100%.

Luciferase target assay

The 3′untranslated region (UTR) of MUC13 containing the predicted target site for miR-20a-5p, was cloned into the pmirGLO (Promega Corporation, Madison, WI, USA) luciferase reporter vector which had been cleaved at the SacI and XhoI sites. Details of PCR procedures are described as follows: a heated initial denaturation step at 95°C for 10 min, followed by 40 cycles at 95°C for 15 sec, 55°C for 45 sec and 72°C for 30 sec. Prior to conducting the luciferase reporter assay, 5×104 cells per well were seeded in 24-well plates in a 500 µl medium and cultured for 18 h. The cells were transfected with the modified firefly luciferase vector (500 ng/µl) mixed with Vigofect transfection reagent, according to the manufacturer's protocol. Following a 48 h continuous exposure, the luciferase activities from firefly and renilla were measured with the Dual-luciferase reporter assay system (Promega Corporation). Renilla activity was used as the normalized parameter.

Establishment of MUC13-expressing MKN28 stable cell line

MKN28 cells were transfected with pmirGLO-MUC13–3′UTR or empty vector (pmirGLO) using VigoFect transfection reagent (Vigorus Biotechnology, Beijing, China). Individual G418 resistant clones (1 mg/ml; Invitrogen; Thermo Fisher Scientific, Inc.) were selected and applied for further study.

Western blotting analyses

Tissue or MKN28 cell protein was extracted using RIPA buffer (Solarbio Science & Technology Co., Ltd., Beijing, China). A bicinchoninic protein assay kit (Pierce; Thermo Fisher Scientific, Inc.) was used to determine the protein concentration. Equal quantities of protein (15 µg) were resolved by 10% SDS-PAGE and transferred onto a PVDF membrane. The protein was detected with primary antibodies, MUC13 (catalog no. ab124654; Abcam), HER2 (catalog no. 4290; 1:1,000), p-ERK (catalog no. 1150; 1:1,000), ERK (catalog no. 9194; 1:1,000), p-Akt (catalog no. 8200; 1:1,000), Akt (catalog no. 9840; 1:1,000) and GAPDH (catalog no. 2118; 1:5,000) all obtained from Cell Signaling Technology, Inc., (Danvers, MA, USA) overnight at 4°C. Nonspecific binding was blocked using 8% (w/v) milk in Tris-buffered saline with 1% Tween-20 (TBST; Beijing SolarBio Science & Technology Co., Ltd.) for 2 h at room temperature. Following several washes with TBST, the membranes were incubated with horseradish-peroxidase (HRP)-conjugated goat anti-rabbit and anti-mouse IgG or HRP-conjugated mouse anti-goat IgG (all 1:5,000; Origene Technologies, Inc.) for 2 h at room temperature and then washed. GAPDH was used as the internal control. Signals were detected with enhanced chemiluminescence according to the manufacturer's protocol (EMD Millipore, Billerica, MA, USA). ImageJ software (National Institutes of Health, Bethesda, MD, USA) was used for density analysis.

Bioinformatic predictions

To determine the potential miRNAs that target MUC13, bioinformatic prediction was performed using TargetScan (http://www.targetscan.org).

Cell invasion assay

Invasion of cells were examined using a Transwell system (Invitrogen; Thermo Fisher Scientific, Inc.). The MKN28 cells transfected with miR-132 inhibitors or ad-MUC13 were cultured in the lower chamber with fresh medium containing 10% FBS. After incubation for 24 h at 37°C, the cells on the upper chamber was stained with 0.5% crystal violet and dissolved in 10% acetic acid for measurement of absorbance at 560 nm.

Cell migration assay

The in vitro wound healing assay was performed as previously described (20). Briefly, MKN28 cells were seeded in 6-well plates to form a confluent monolayer. The monolayer was scratched with a sterile 10 µl pipette tip, and the floating cells were carefully removed by washing with PBS. Then, the cells were cultured in RPMI-1640 medium without FBS at 37°C in a 5% CO2 atmosphere. The wound scratches were photographed at 0 and 12 h then scraped to collect cells.

Statistical analysis

The data are expressed as the mean ± standard error. The number of independent experiments was represented by ‘n’. Data were analyzed using SPSS software, version 13.0 (SPSS, Inc., Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

Upregulation of MUC13 in gastric cancer tissues

Initially, the expression of MUC13 in gastric cancer tissues was examined. Western blot analysis demonstrated that MUC13 was significantly upregulated in gastric cancer tissues compared with adjacent normal tissues (Fig. 1A). Immunohistochemistry analysis also demonstrated the enhanced expression of MUC13 in gastric cancer tissues (Fig. 1B).
Figure 1.

Expression of MUC13 was increased in gastric cancer tissues compared with normal tissues. (A) Western blot analysis. *P<0.05 vs. control. (B) Immunohistochemistry analysis. n=5 independent tissues. MUC13, mucin 13.

MUC13 is a target gene of miR-132-3p in gastric cancer

To identify the potential miRNAs that regulate the expression of MUC13, the TargetScan online prediction program was used. As demonstrated in Fig. 2A, two putative conserved binding miRNAs, miR-132-3p and miR-212-3p, were identified to potentially bind the 3′untranslated region (3′UTR) of MUC13. The present study determined that miR-132-3p levels were reduced in gastric cancer tissues compared with adjacent normal control tissue, whereas miR-212-3p did not demonstrate significant a change (Fig. 2B). Subsequently, the 3′UTR of MUC13 was cloned into the pmirGLO plasmid. A dual luciferase reporter assay demonstrated that miR-132-3p significantly decreased the relative luciferase units of pmirGLO-MUC13–3′UTR compared with with the empty vector pmirGLO (Fig. 2C). Additionally, miR-132-3p mimics or inhibitors were transfected into MKN28 cells. RT-qPCR analysis revealed that transfection with miR-132-3p mimics markedly enhanced the level of miR-132-3p, whereas transfection with miR-132-3p inhibitors significantly reduced the level of miR-132-3p (Fig. 2D). Overexpression of miR-132-3p significantly increased the level of miR-132-3p, however decreased the protein level of MUC13 (Fig. 2E). By contrast, inhibition of miR-132-3p reduced the level of miR-132-3p, however increased the expression of MUC13 (Fig. 2E). These data indicated that reduction of miR-132-3p led to enhanced MUC13 expression in gastric cancer cells.
Figure 2.

Reduction of miR-132-3p led to enhanced MUC13 expression in gastric cancer cells. (A) TargetScan prediction programs indicated that miR-132-3p and miR-212-3p may bind to the 3′UTR of MUC13. (B) Reverse transcription-quantitative polymerase chain reaction was performed to determine the level of miR-132-3p and miR-212-3p in gastric cancer tissues (GC) (n=5 independent samples) and normal control (NC). (C) Luciferase assay indicated that miR-132-3p decreased the relative luciferase activity of pmirGLO-MUC13–3′UTR. (D) RT-qPCR analysis of miR-132-3p levels following transfection of miR-132-3p mimics or inhibitors. (E) Transfection of miR-132-3p mimics significantly decreased the protein level of MUC13 in MKN28, and transfection of miR-132-3p inhibitors significantly decreased the protein level of MUC13. *P<0.05, **P<0.01, ***P<0.001 vs. control. MUC13, mucin 13; UTR, untranslated region; miR, microRNA; RLU, relative luciferase unit; NC, negative control.

Overexpression of MUC13 increases the activation of HER signaling and cell invasion and migration in MKN28 cells

To explore the role of MUC13 on gastric cancer progression, cell invasion and migration were analyzed. As demonstrated in Fig. 3A, the transfection efficiency of Ad-MUC13 or Ad-con was nearly 100% (Fig. 3A). No alterations of MUC13 protein levels were observed following simple transfection of blank adenovirus vectors (data not shown). A Transwell assay demonstrated that overexpression of MUC13 significantly enhanced cell invasion capacity (Fig. 3B). Furthermore, a scratch assay demonstrated that MKN28 cell migration was enhanced by MUC13 overexpression (Fig. 3C). The signaling downstream of MUC13 was also examined. As demonstrated in Fig. 3D, overexpression of MUC13 obviously enhanced the level of HER2, and the phosphorylation of ERK and Akt (Fig. 3D).
Figure 3.

Overexpression of MUC13 prompted MKN28 cell invasion and migration through activation of HER signaling. (A) Transfection efficiency of Ad-MUC13 or Ad-con. (B) Transwell assay demonstrated that overexpression of MUC13 significantly enhanced MKN28 cell invasion capacity. (C) Scratch assay demonstrated that MKN28 cell migration was significantly enhanced when MUC13 was overexpressed. (D) Overexpression of MUC13 obviously enhanced the expression of HER2, and the phosphorylation of ERK and Akt. n=3 independent experiments, *P<0.05, **P<0.01 vs. control. Ad, adenovirus; con, control; MUC13, mucin 13; HER2, human epidermal growth factor receptor 2; p-, phosphorylated; ERK, extracellular signal-regulated kinase; Akt, Akt serine/threonine kinase.

Knockdown of MUC13 partially reverses miR-132-3p inhibition-induced MKN28 cell invasion and migration

To explore whether miR-132-3p exerts its role through MUC13, miR-132-3p inhibitors were transfected into MKN28 cells. As demonstrated in Fig. 4A, inhibition of miR-132-3p significantly enhanced the protein level of MUC13, and enhanced the level of HER2, and ERK and Akt phosphorylation. Notably, an siRNA targeting MUC13 was selected to suppress the expression of MUC13. miR-132-3p inhibition reduced the effects of MUC13 siRNA on HER2 expression, and ERK and Akt activation (Fig. 4B). Additionally, the effect was on cell invasion and migration was also determined. miR-132-3p inhibitors reduced the effect of MUC13 knockdown on cell invasion and migration (Fig. 4C and D).
Figure 4.

Knockdown of MUC13 partially reverses miR-132-3p inhibition-induced effects on MKN28 cell invasion and migration. (A) Inhibition of miR-132-3p significantly enhanced the expression of MUC13 and the activation of downstream signaling. (B) Knockdown of MUC13 reversed the effects of miR-132-3p inhibition on HER2, ERK and Akt. (C) Cell invasion and (D) migration were monitored in cells transfected with miR-132-3p inhibitors or/and si-MUC13 or NC. n=3 independent experiments, *P<0.05, **P<0.01 vs. control. NC, negative control; miR, microRNA; MUC13, mucin 13; HER2, human epidermal growth factor receptor 2; p-, phosphorylated; ERK, extracellular signal-regulated kinase; Akt, Akt serine/threonine kinase; siMUC13, MUC13-targeting small interfering RNA.

Discussion

Mucins are considered as potential oncogenes and possible therapeutic targets in various malignancies (21–23). As a high-molecular-weight transmembrane glycoprotein, MUC13 is reported to be frequently overexpressed in various epithelial carcinomas, including gastric, colorectal and ovarian cancers (24). MUC13 includes three EGF-like domains and a cytoplasmic domain with phosphorylation sites, which trigger the activation of HER2 signaling (24). The current study examined MUC13 expression in gastric cancer tissues and detected that MUC13 protein levels were significantly increased compared with adjacent normal tissues. A previous study reported that overexpression of MUC13 significantly enhanced the activation of HER2, ERK and Akt (13). To validate the role of MUC13 in gastric cancer progression, MUC13 was exogenously expressed in MKN28 cells. Overexpression of MUC13 observably enhanced gastric cancer cell invasion and migration. By contrast, knockdown of MUC13 decreased MKN28 cell invasion and migration. Due to the three EGF domains, MUC13 is considered to stabilize the protein level of EGF receptors, particularly HER2, thus enhancing the activation of ERK and Akt. Activation of phosphoinositide 3-kinase/Akt and mitogen-activated protein kinase signaling through HER2 enhances tumorigenesis in various types of cancer (25,26). miRNAs are increasingly reported to be differentially expressed in various tumors either as oncogenes or tumor suppressors (27–29). In a previous study, miR-145 was identified to target MUC13 inhibiting the tumor growth and invasion in pancreatic tissues. The present study aimed to elucidate novel miRNAs that regulate the expression of MUC13 in gastric cancer (12). Bioinformatic predictions suggested that miR-132-3p and miR-212-3p may bind to the 3′UTR of MUC13. A luciferase reporter assay and western blot analysis demonstrated that MUC13 is the target gene of miR-132-3p. Further study demonstrated that miR-132-3p was obviously decreased in gastric cancer tissues compared with normal adjacent tissues. In line with MUC13 overexpression, reduced miR-132-3p contributed to gastric cancer cell invasion and migration. Notably, inhibition of miR-132-3p reduced the activation of ERK and Akt even in cells transfected the specific siRNA targeting MUC13, suggesting the tumor suppressor role of miR-132-3p in gastric cancer through MUC13. To conclude, miR-132-3p may function as a tumor suppressor in gastric cancer tissues by targeting MUC13 and subsequently prompting the activation of HER2 signaling.
  29 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors.

Authors:  Ingo K Mellinghoff; Maria Y Wang; Igor Vivanco; Daphne A Haas-Kogan; Shaojun Zhu; Ederlyn Q Dia; Kan V Lu; Koji Yoshimoto; Julie H Y Huang; Dennis J Chute; Bridget L Riggs; Steve Horvath; Linda M Liau; Webster K Cavenee; P Nagesh Rao; Rameen Beroukhim; Timothy C Peck; Jeffrey C Lee; William R Sellers; David Stokoe; Michael Prados; Timothy F Cloughesy; Charles L Sawyers; Paul S Mischel
Journal:  N Engl J Med       Date:  2005-11-10       Impact factor: 91.245

3.  MiRNA-34a inhibits EGFR-signaling-dependent MMP7 activation in gastric cancer.

Authors:  Gang Liu; Chuanshen Jiang; Dazhou Li; Rong Wang; Wen Wang
Journal:  Tumour Biol       Date:  2014-07-01

Review 4.  Mucin 13: structure, function, and potential roles in cancer pathogenesis.

Authors:  Diane M Maher; Brij K Gupta; Satoshi Nagata; Meena Jaggi; Subhash C Chauhan
Journal:  Mol Cancer Res       Date:  2011-03-30       Impact factor: 5.852

Review 5.  Overview of methodological quality of systematic reviews about gastric cancer risk and protective factors.

Authors:  Lun Li; Xiang-Ji Ying; Tian-Tian Sun; Kang Yi; Hong-Liang Tian; Rao Sun; Jin-Hui Tian; Ke-Hu Yang
Journal:  Asian Pac J Cancer Prev       Date:  2012

6.  MicroRNA-181b promotes ovarian cancer cell growth and invasion by targeting LATS2.

Authors:  Ying Xia; Yan Gao
Journal:  Biochem Biophys Res Commun       Date:  2014-04-13       Impact factor: 3.575

7.  miRNA-199a-3p in plasma as a potential diagnostic biomarker for gastric cancer.

Authors:  Chen Li; Jian Fang Li; Qu Cai; Qing Qing Qiu; Min Yan; Bing Ya Liu; Zheng Gang Zhu
Journal:  Ann Surg Oncol       Date:  2012-09-07       Impact factor: 5.344

8.  MicroRNA-145 targets MUC13 and suppresses growth and invasion of pancreatic cancer.

Authors:  Sheema Khan; Mara C Ebeling; Mohd S Zaman; Mohammed Sikander; Murali M Yallapu; Neeraj Chauhan; Ashley M Yacoubian; Stephen W Behrman; Nadeem Zafar; Deepak Kumar; Paul A Thompson; Meena Jaggi; Subhash C Chauhan
Journal:  Oncotarget       Date:  2014-09-15

9.  Tyrosine phosphatase SHP-2 mediates C-type lectin receptor-induced activation of the kinase Syk and anti-fungal TH17 responses.

Authors:  Zihou Deng; Shixin Ma; Hao Zhou; Aiping Zang; Yiyuan Fang; Tiantian Li; Huanjing Shi; Mei Liu; Min Du; Patricia R Taylor; Helen He Zhu; Jiangye Chen; Guangxun Meng; Fubin Li; Changbin Chen; Yan Zhang; Xin-Ming Jia; Xin Lin; Xiaoming Zhang; Eric Pearlman; Xiaoxia Li; Gen-Sheng Feng; Hui Xiao
Journal:  Nat Immunol       Date:  2015-04-27       Impact factor: 25.606

10.  MicroRNA-19a mediates gastric carcinoma cell proliferation through the activation of nuclear factor-κB.

Authors:  Fan Yang; Hongjian Wang; Zhenyu Jiang; Anxiang Hu; Lisha Chu; Yiling Sun; Junqing Han
Journal:  Mol Med Rep       Date:  2015-07-29       Impact factor: 2.952

View more
  13 in total

1.  GSE1 predicts poor survival outcome in gastric cancer patients by SLC7A5 enhancement of tumor growth and metastasis.

Authors:  Keshuo Ding; Sheng Tan; Xing Huang; Xiaonan Wang; Xiaocan Li; Rong Fan; Yong Zhu; Peter E Lobie; Wenbin Wang; Zhengsheng Wu
Journal:  J Biol Chem       Date:  2018-01-24       Impact factor: 5.157

Review 2.  The outstanding role of miR-132-3p in carcinogenesis of solid tumors.

Authors:  Milad Rafat; Mahta Moraghebi; Masoumeh Afsa; Kianoosh Malekzadeh
Journal:  Hum Cell       Date:  2021-05-17       Impact factor: 4.174

3.  Inducible MicroRNA-132 Inhibits the Production of Inflammatory Cytokines by Targeting TRAF6, TAK1, and TAB1 in Teleost Fish.

Authors:  Junxia Cui; Weiwei Zheng; Yuena Sun; Tianjun Xu
Journal:  Infect Immun       Date:  2022-04-13       Impact factor: 3.609

4.  The Role of HER2 in Self-Renewal, Invasion, and Tumorigenicity of Gastric Cancer Stem Cells.

Authors:  Li-Fei Sun; Kun Yang; Yi-Gao Wang; Yu-Xin Liu; Pei-Xian Hou; Zheng-Hao Lu; Xiao-Long Chen; Wei-Han Zhang; Zong-Guang Zhou; Xian-Ming Mo; Jian-Kun Hu
Journal:  Front Oncol       Date:  2020-08-21       Impact factor: 6.244

Review 5.  Oncogenic and Tumor-Suppressive Roles of MicroRNAs with Special Reference to Apoptosis: Molecular Mechanisms and Therapeutic Potential.

Authors:  Dharambir Kashyap; Hardeep Singh Tuli; Vivek Kumar Garg; Neelam Goel; Anupam Bishayee
Journal:  Mol Diagn Ther       Date:  2018-04       Impact factor: 4.074

Review 6.  Inflammation related miRNAs as an important player between obesity and cancers.

Authors:  Morteza Gholami; Bagher Larijani; Zhila Zahedi; Fatemeh Mahmoudian; Samira Bahrami; Sima Parvizi Omran; Zahra Saadatian; Shirin Hasani-Ranjbar; Reza Taslimi; Milad Bastami; Mahsa M Amoli
Journal:  J Diabetes Metab Disord       Date:  2019-11-26

Review 7.  MicroRNAs are involved in the development and progression of gastric cancer.

Authors:  Xiaolin Liu; Ruixia Ma; Bin Yi; Adam I Riker; Yaguang Xi
Journal:  Acta Pharmacol Sin       Date:  2020-10-09       Impact factor: 7.169

8.  Identification and validation of a four-miRNA (miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p) prognosis signature in clear cell renal cell carcinoma.

Authors:  Mingzhi Xie; Yufeng Lv; Zhihui Liu; Jingyan Zhang; Chaoyong Liang; Xiaoli Liao; Rong Liang; Yan Lin; Yongqiang Li
Journal:  Cancer Manag Res       Date:  2018-11-15       Impact factor: 3.989

9.  miR-23b-3p and miR-130a-5p affect cell growth, migration and invasion by targeting CB1R via the Wnt/β-catenin signaling pathway in gastric carcinoma.

Authors:  Xiangshu Xian; Li Tang; Chengrong Wu; Liuye Huang
Journal:  Onco Targets Ther       Date:  2018-10-25       Impact factor: 4.147

10.  Upregulation of Linc-ROR Promotes the Proliferation, Migration, and Invasion of Gastric Cancer Cells Through miR-212-3p/FGF7 Axis.

Authors:  Yanjun Mi; Yongwen Li; Zhuo He; Donghan Chen; Qingqi Hong; Jun You
Journal:  Cancer Manag Res       Date:  2021-02-02       Impact factor: 3.989

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.