Open Access

MicroRNA‑9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin‑1

Retraction in: /10.3892/etm.2024.12687

  • Authors:
    • Cheng Hang
    • Hui‑Shen Yan
    • Chen Gong
    • Hua Gao
    • Qiu‑Hui Mao
    • Jian‑Xin Zhu
  • View Affiliations

  • Published online on: August 2, 2019     https://doi.org/10.3892/etm.2019.7841
  • Pages: 2524-2530
  • Copyright: © Hang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Gastric cancer (GC) is a global health problem with poor clinical outcomes. The mechanism of its development and progression remains largely unclear. The present study investigated the role of microRNA‑9 (miR‑9‑5p) in the development and progression of GC. Overexpression of miR‑9‑5p led to reduced expression of neuropilin‑1 (NRP‑1) in GC cells. Dual‑luciferase reporter assay results indicated that miR‑9‑5p directly targeted NRP‑1. Furthermore, overexpression of miR‑9‑5p in GC cells increased the expression of mesenchymal markers, N‑cadherin and vimentin, and decreased the expression of epithelial markers, E‑cadherin and β‑catenin. Overexpression of miR‑9‑5p inhibited GC cell proliferation, migration and invasion, and increased the sensitivity of GC cells to the anti‑cancer drug cisplatin. By contrast, the opposite effects were observed in GC cells following downregulation of miR‑9‑5p. Taken together, the present findings suggested that miR‑9‑5p suppressed NRP‑1 expression and inhibited GC cell proliferation and invasion. In addition, miR‑9‑5p overexpression attenuated GC cell resistance to anti‑cancer drugs, which highlighted the potential of miR‑9‑5p as a target for the treatment of GC.

Introduction

Gastric cancer (GC) is one of the leading causes of cancer related mortality globally (1). China has a high prevalence of GC (2), where the incidence ranked second and the mortality ranked third for all types of cancers (3). Although comprehensive studies of GC have been performed, the mechanisms of its development, progression, metastasis and invasion remain largely unclear, which greatly limits GC therapeutic treatments.

MicroRNAs (miRs) are a class of small non-coding RNA molecules that contain ~22 nucleotides and have important roles in regulating gene expression at the post-transcriptional level (4). Over the past few decades, significant research has been conducted on the dysregulation of miRs in human cancers, which helped elucidate various mechanisms of the development and progression of cancers (5). Therefore, identification of specific miRs that are responsible for tumorigenesis could serve a role in the treatment of GC.

Neuropilin-1 (NRP-1) is a transmembrane protein that participates in various physiological and pathological processes (6). Recently, the role of NRP-1 in mediating tumor development, progression, invasion and metastasis has attracted increasing interest as studies have identified that NRP-1 overexpression is associated with tumorigenesis and poor clinical outcomes in numerous cancer types (7,8).

In the present study, the role of miR-9-5p and NRP-1 in GC cells was investigated. It was identified that miR-9-5p could directly bind to the 3′-untranslated region (3′-UTR) of NPR-1 and suppress NRP-1 expression, resulting in inhibition of GC cell proliferation and invasion. miR-9-5p also increased the sensitivity of GC cells to chemotherapeutic drugs. The present findings suggested a mechanism for GC tumorigenesis and provided valuable insights for the development of a novel chemotherapeutic drug for GC.

Materials and methods

Cell culture

GC cell lines, MKN-45 and HGC-27, were purchased from the Type Culture Collection of the Chinese Academy of Sciences. All cells were cultured in RPMI-1640 supplemented with 20% fetal bovine serum (FBS) and 1% antibiotics (all Gibco; Thermo Fisher Scientific, Inc.) in a 37°C incubator with 5% CO2. Cells in the exponential growth phase were used for experiments.

miR-9-5p transfection

miR-9-5p mimic, inhibitor and scramble control were purchased from GeneCopoeia Ltd. (iGeneBio). The mimic, inhibitor and their scramble controls were transfected to MKN-45 and HGC-27 cells at a concentration of 100 nM by Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.). A total of 48 h after transfection, the cells were used for further experiments. The sequences are as follows: Mimic: 5′-AUAAAGCUAGAUAACCGAAAGU-3′; scramble control for mimic: 5′-UCACAACCUCCUAGAAAGAGUAGA-3′; inhibitor: 5′-UCUUUGGUUAUCUAGCUGUAUGA-3′; scramble control for inhibitor: 5′-GGUUCGUACGUACACUGUUCA-3′.

Dual-luciferase assay

TargetScan (www.targetscan.org) is an online database to predict biological targets of miRNAs. By searching for miR-9-5p, the authors found that NRP-1 is a potential biological target. In order to understand the interaction between miR-9-5p and NRP-1, pmiR-RB-report plasmids (RiboBio Inc) containing WT NRP-1 3-UTR were transfected into GC cells simultaneously with mimic, inhibitor or scramble control using Lipofectamine 2000. pmiR-RB-report plasmids containing mutant (MUT) NRP-1 3-UTR were also used as a negative control as it should not interact with miR-9-5p. The assay was performed using the Dual luciferase reporter assay (Promega Corporation) according to manufacturer's protocol. After 48 h, luciferase activity was measured using Dual-Luciferase report assay luminometer (Promega Corporation). The data were presented as the ratio of firefly to Renilla luciferase activity.

Western blot analysis

RIPA cell lysis buffer (Beyotime Institute of Biotechnology) was used to obtain cell lysates. Proteins were quantified using bicinchoninic acid protein assay kit (Thermo Fisher Scientific, Inc.) then 20 µg protein were loaded per lane and separated via SDS-PAGE on a 10% gel. Separated proteins were then transferred to polyvinylidene difluoride membranes. Following blocking with 5% fat-free milk in PBS for 2 h at room temperature, the membranes were incubated with primary antibodies against GAPDH (cat. no. MB001; 1:2,000; Bioworld Technology, Inc.), NRP-1 (cat. no. ab81321; 1:1,000; Abcam), N-cadherin (cat. no. sc-59987; 1:1,000; Santa Cruz Technology, Inc.), vimentin (cat. no. BS1855; 1:1,000; Bioworld Technology, Inc.), E-cadherin (cat. no. sc-71007; 1:1,000; Santa Cruz Technology, Inc.) and β-catenin (cat. no. ab32572; 1:1,000; Abcam) at 4°C overnight. Membranes were then incubated with horseradish peroxidase-conjugated goat anti-mouse (cat. no. BS12478) or anti-rabbit (cat. no. BS13278; both 1:5,000; Bioworld Technology, Inc.) secondary antibodies for 1 h at room temperature. Following washing, the proteins of interest were visualized by enhanced chemiluminescence Plus Western Blotting Substrate (Thermo Fisher Scientific, Inc.) and ChemiDoc Gel Imaging System (Bio-Rad Laboratories, Inc.).

Reverse transcription-quantitative PCR (RT-qPCR)

Total RNA was extracted from cells using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.). RNA was reverse transcribed to cDNA using PrimeScript RT Master Mix (Takara Bio, Inc.) at 37°C for 15 min and 85°C for 5 sec. TB Green Advantage qPCR premixes (Takara Bio, Inc.) was used to amplify the target genes. The following thermocycling conditions were used: Initial denaturation at 95°C for 30 sec; 40 cycles of 95°C for 5 sec and 60°C for 31 sec. GAPDH was used as an internal control and the relative mRNA expression of genes were calculated using 2−ΔΔCq (9). Primers are listed in Table I.

Table I.

Primer sequences used for reverse transcription- quantitative PCR.

Table I.

Primer sequences used for reverse transcription- quantitative PCR.

GenePrimer sequence (5′-3′)
microRNA-9-5pF: ACACTCCAGCTGGGTCTTTGGTTATCTAGCT
R: TGGTGTCGTGGAGTCG
NRP-1F: CAGGTGATGACTTCCAGCTC
R: CCCAGTGGCAGAAGGTCTTG
E-cadherinF: AAGAAAACCCGAAGAGG
R: CTGACTCAAGGTGCAGC
N-cadherinF: TGACTCCCTGTTAGTGTTTGAC
R: CCCAGTCGTTCAGGTAATCATAG
VimentinF: CCTGAACCTGAGGGAAACTAAT
R: CGTTGATAACCTGTCCATCTCT
β-cateninF: CTTCACCTGACAGATCCAAGTC
R: CCTTCCATCCCTTCCTGTTTAG
GAPDHF: GGTGTGAACCATGAGAAGTATG
R: GAGTCCTTCCACGATACCAAAG

[i] NRP-1, neuropilin-1; F, forward; R, reverse.

Cell migration assays

Cells in the exponential growth phase were plated into 6-well plates and cultured to 95% confluence. Following serum starvation overnight, a wound was created using a sterile tip that was scratched in the central area of the well. Cells were cultured in serum-free medium following washing with PBS to remove floating cells and debris. Images of cell migration were captured at 0 and 48 h following wound induction by using a light microscope at a magnification of ×40.

Invasion assay

A total of 5×104 cells were suspended in 200 µl serum-free RPMI-1640 medium and seeded into the upper chambers of Transwell inserts (BD Biosciences). The Transwell inserts had been coated with 30 µl Matrigel (BD Biosciences) and incubated in the incubator for 4 h. A total of 500 µl RPMI-1640 medium containing 10% fetal calf serum (FCS; Gibco; Thermo Fisher Scientific, Inc.), used as the chemo-attractant, were added to the lower wells. Following incubation for 16 h, the chambers were fixed with 4% paraformaldehyde for 20 min at room temperature and stained with crystal violet (Beyotime Institute of Biotechnology) for 30 min at room temperature. Cells on the lower membranes were counted in five randomly selected fields (magnification, ×200) under a light microscope.

Colony-formation assay

Cells in the exponential growth phase were plated into 60-mm dishes at a concentration of 1,000 cells/dish and cultured in RPMI-1640 medium with 10% FCS for 14 days. Then the culture media were removed and the cells were fixed in 4% paraformaldehyde solution for 30 min at room temperature. Following staining with 1% crystal violet solution for 30 min at room temperature, the cells were counted using an inverted microscope at a magnification of ×40.

Flow cytometry

A total of 3×104 cells/well were plated into 96-well plates, and were treated with 10 µg/ml cisplatin (Sigma Aldrich; Merck KGaA). After 24 h, the cells were stained with propidium iodide (PI) and Annexin V-fluroescein isothiocyanate (FITC) kit [Multisciences (Lianke) Biotech Co., Ltd.] and analyzed by flow cytometry. The percentage of live cells, apoptotic cells and dead cells were analyzed using FlowJo software (version 10; FlowJo LLC).

Statistical analysis

Data were analyzed with the statistical software SPSS (version 19; IBM Corp.) and displayed as a mean ± standard deviation. Comparisons between two groups were analyzed using Student's unpaired two-sample t-test. Cells transfected with miR-9-5p mimics were compared with the cells transfected with the corresponding scramble control only, whilst the cells transfected with miR-9-5p inhibitor were compared with the cells transfected with the corresponding scramble control only. P<0.05 was considered to indicate a statistically significant difference.

Results

miR-9-5p suppresses NRP-1 expression

TargetScan was used to predict genes under the regulation of miR-9-5p and it was determined that NRP-1 was a candidate. Thus, the mimic and inhibitor of miR-9-5p were transfected into the GC cell lines, MKN-45 and HGC-27, to investigate whether miR-9-5p could regulate the expression of NRP-1. Expression of miR-9-5p was upregulated following transfection with its mimics in both cell lines, whilst the inhibitor downregulated the expression of miR-9-5p (Fig. 1A). Western blotting and RT-qPCR were used to examine the NRP-1 protein and mRNA expression. When miR-9-5p was overexpressed, the mRNA and protein expression levels of NRP-1 were significantly decreased compared with GC cells transfected with the scramble control. By contrast, the inhibitor of miR-9-5p increased NRP-1 expression compared with the inhibitor control (Fig 1B and C). To understand whether NRP-1 was a direct target of miR-9-5p, dual-luciferase reporter vectors containing wild-type NRP-1 3-UTR sequence and mutant NRP-1 3-UTR sequence were established. The transcriptional activity of NRP-1 3-UTR decreased when cells were transfected with miR-9-5p mimics, whilst the miR-9-5p inhibitor demonstrated the opposite effect. miR-9-5p had no significant effect on mutant NRP-1 3-UTR (Fig. 1D-F). These results indicated that miR-9-5p suppressed the expression of NRP-1.

miR-9-5p inhibits epithelial-mesenchymal transition (EMT) in GC cells

NRP-1 has been reported to promote EMT in different types of cancer (7,8). In order to understand if miR-9-5p could inhibit EMT by targeting NRP-1 in GC cells, GC cells were transfected with miR-9-5p mimic, inhibitor or respective scramble controls. Results demonstrated that EMT phenotypes were inhibited in MKN-45 and HGC-27 cells transfected with miR-9-5p mimic, which presented as an increased expression of mesenchymal markers, N-cadherin and vimentin, and decreased expression of epithelial markers, E-cadherin and β-catenin, when compared to its corresponding control (Fig. 2). By contrast, MKN-45 and HGC-27 cells transfected with miR-9-5p inhibitor displayed the opposite effects with decreased expression of N-cadherin and vimentin, and increased expression of E-cadherin and β-catenin (Fig. 2). These results demonstrated that overexpression of miR-9-5p downregulated NRP-1 expression and inhibited EMT in GC cells.

miR-9-5p inhibits GC cell migration and invasion

The effect of miR-9-5p on cell migration and invasion by targeting NRP-1 was investigated. Scratch assay demonstrated that MKN-45 and HGC-27 cells transfected with miR-9-5p mimic exhibited decreased cell migration as the wounded area was larger compared with GC cells transfected with the scramble control at 48 h (Fig. 3A). By contrast, miR-9-5p inhibitor increased cell migration compared with the control (Fig. 3A). Transwell assay also demonstrated significantly decreased invasive ability of cells in the miR-9-5p mimic group compared with the control. GC cells transfected with miR-9-5p inhibitor demonstrated increased ability of invasion compared with the control (Fig. 3B).

miR-9-5p inhibits cell proliferation and alleviates drug- resistance in GC cells

Colony-formation assay was used to examine the effect of miR-9-5p on cell proliferation as NRP-1 has been reported to promote cancer cell growth (7). Results demonstrated that MKN-45 and HGC-27 cells transfected with miR-9-5p mimics displayed a decreased colony-formation capability compared with the scramble control whilst GC cells transfected with miR-9-5p inhibitor demonstrated a higher colony-formation capability (Fig. 4A), which suggested that miR-9-5p inhibited GC cell proliferation. When GC cells were treated with a chemotherapeutic drug (10 µg/ml cisplatin for 24 h) the cells transfected with miR-9-5p mimic had a high rate of apoptosis compared with cells transfected with the scramble control (Fig. 4B). In addition, GC cells transfected with the inhibitor of miR-9-5p had a decreased apoptosis rate compared with the control (Fig. 4B). These results suggested that miR-9-5p decreased the resistance of GC cells to a widely used chemotherapy drug.

Discussion

In recent years, a strong correlation between miRs and malignant tumors has been identified. miRs are not only involved in the regulation of metastasis, invasion and progression of cancers (10,11), but also in resistance initiation to anticancer therapeutics (11). miR-9-5p was discovered in 2005 and identified to be a factor that regulates neuronal progenitor cells. Over the past decades, the role of miR-9-5p on tumorigenesis in breast cancer, osteosarcoma and hepatocellular carcinoma has been confirmed since the overexpression of miR-9-5p correlates with advanced tumor stages and poor prognosis (1214). However, there is evidence that miR-9-5p suppresses the proliferation, invasion and metastasis of cancers (15,16) and also enhances the sensitivity of cancer cells to anti-cancer therapy (17). The present study identified that upregulation of miR-9-5p in GC cells resulted in the inhibition of invasion, and increased GC cell sensitivity to anticancer therapeutics. By contrast, downregulation of miR-9-5p in GC cells produced the opposite results. Therefore, the present findings suggested that miR-9-5p had a role in suppressing the development of GC.

EMT is a potential mechanism of tumor progression where epithelial-derived tumor cells undergo phenotypic switches to acquire mesenchymal phenotypes (18). During the transition, tumor cells downregulate E-cadherin, leading to disassembly of intercellular adhesions (19) and enhanced cell motility and migration (20). Recently, increasing evidence suggests that EMT has a key role in GC progression, invasion and metastasis (21). GC patients with a non-EMT phenotype have a better prognosis compared with patients with EMT phenotypes (22,23). Mesenchymal markers are overexpressed and the epithelial markers are weakly expressed in human gastric circulating tumor cells, indicating that EMT plays a key role in GC metastasis (24). The present study determined that miR-9-5p overexpression inhibited the EMT process by upregulating the expression of mesenchymal markers N-cadherin and vimentin, and downregulating the epithelial cell markers, E-cadherin and β-catenin.

NRP-1 is a 120–130 kDa type I transmembrane glycoprotein first reported as a regulator of neuron development (25). Recently, the role of NRP-1 in tumor initiation and development has been identified since it is overexpressed in numerous cancers (26). NRP-1 functions as a vascular endothelial growth factor receptor to regulate angiogenesis in tumors. Miao et al (27) established a xenograft tumor model with overexpression of NRP-1 and observed enhancement of microvessel density and dilated blood vessels, which resulted in increased tumor size and decreased tumor cell apoptosis. NRP-1 has a direct role in the function of tumor cells. NRP-1 expression in patient tumor samples directly correlates with tumor stage, poor prognosis and tumor aggressiveness (28).

In the present study, it was identified that NRP-1 was the direct target of miR-9-5p, as the transcriptional activity of NRP-1 3′-UTR was decreased when miR-9-5p was overexpressed in GC cells. Overexpression of miR-9-5p in GC cells decreased NRP-1 expression leading to inhibition of the EMT process and invasion, as well as the increased sensitivity of GC cells to an anticancer drug. By contrast, downregulation of miR-9-5p in GC cells produced the opposite effect. Therefore, the miR-9-5p/NRP-1 axis may be a potential therapeutic target for the treatment of GC; however further in vitro, in vivo and clinical studies are required to fully elucidate the regulatory mechanisms between miR-9-5p and NRP-1 in GC.

In conclusion, the present findings suggested that miR-9-5p inhibited NRP-1 expression resulting in the suppression of EMT, and the inhibition of cell proliferation and invasion of GC cells. Overexpression of miR-9-5p reduced cell resistance to anticancer therapeutics and therefore, the miR-9-5/NRP-1 axis may be a potential therapeutic target for the treatment of GC.

Acknowledgements

The authors would like to thank Dr. Yao Su from Department of Public Health at Southeast University (Nanjing, China) for kindly helping with the reverse transcription-quantitative PCR techniques.

Funding

The current study was supported by a grant from the Science Development Program of Taicang City, 2016 (Basic Research for Medical Sciences and Public Health; project no. TC2016YYJC04), the Foundation of “333” Talents Project of Jiangs [grant no. (2018)-III-0690], the Natural Science Foundation of Jiangsu Provincial Department of Education (grant no. 18KJD360003), the Foundation of Modern Educational Technology in Jiangsu (grant no. 2018-R-59868), the Natural Science Foundation of Yangzhou Polytechnic College (grant no. 2017ZR18), and the Scientific and Technological Innovation Team Foundation of Yangzhou Polytechnic College.

Availability of data and materials

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

Authors' contributions

CH and HSY contributed equally to this work, performed the in vitro studies and drafted the manuscript. CG and HG performed the western blot analysis. QHM participated in the design of the study and performed the statistical analysis. JXZ conceived of the study, participated in its design and coordination, and helped to draft the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

McGuire S: World Cancer Report 2014. Geneva, Switzerland: World Health Organization, International Agency for Research on Cancer, WHO Press, 2015. Adv Nutr. 7:418–419. 2016. View Article : Google Scholar : PubMed/NCBI

2 

Hartgrink HH, Jansen EP, van Grieken NC and van de Velde CJ: Gastric cancer. Lancet. 374:477–490. 2009. View Article : Google Scholar : PubMed/NCBI

3 

Zheng R, Zeng H, Zhang S and Chen W: Estimates of cancer incidence and mortality in China, 2013. Chin J Cancer. 36:662017. View Article : Google Scholar : PubMed/NCBI

4 

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

5 

Garzon R, Calin GA and Croce CM: MicroRNAs in cancer. Annu Rev Med. 60:167–179. 2009. View Article : Google Scholar : PubMed/NCBI

6 

Nakamura F and Goshima Y: Structural and functional relation of neuropilins. Adv Exp Med Biol. 515:55–69. 2002. View Article : Google Scholar : PubMed/NCBI

7 

Prud'homme GJ and Glinka Y: Neuropilins are multifunctional coreceptors involved in tumor initiation, growth, metastasis and immunity. Oncotarget. 3:921–939. 2012. View Article : Google Scholar : PubMed/NCBI

8 

Chu W, Song X, Yang X, Ma L, Zhu J, He M, Wang Z and Wu Y: Neuropilin-1 promotes epithelial-to-mesenchymal transition by stimulating nuclear factor-kappa B and is associated with poor prognosis in human oral squamous cell carcinoma. PLoS One. 9:e1019312014. View Article : Google Scholar : PubMed/NCBI

9 

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

10 

Han TS, Hur K, Xu G, Choi B, Okugawa Y, Toiyama Y, Oshima H, Oshima M, Lee HJ, Kim VN, et al: MicroRNA-29c mediates initiation of gastric carcinogenesis by directly targeting ITGB1. Gut. 64:203–214. 2015. View Article : Google Scholar : PubMed/NCBI

11 

Bahari F, Emadi-Baygi M and Nikpour P: miR-17-92 host gene, uderexpressed in gastric cancer and its expression was negatively correlated with the metastasis. Indian J Cancer. 52:22–25. 2015. View Article : Google Scholar : PubMed/NCBI

12 

Gwak JM, Kim HJ, Kim EJ, Chung YR, Yun S, Seo AN, Lee HJ and Park SY: MicroRNA-9 is associated with epithelial- mesenchymal transition, breast cancer stem cell phenotype, and tumor progression in breast cancer. Breast Cancer Res Treat. 147:39–49. 2014. View Article : Google Scholar : PubMed/NCBI

13 

Fei D, Li Y, Zhao D, Zhao K, Dai L and Gao Z: Serum miR-9-5p as a prognostic biomarker in patients with osteosarcoma. J Int Med Res. 42:932–937. 2014. View Article : Google Scholar : PubMed/NCBI

14 

Cai L and Cai X: Up-regulation of miR-9 expression predicate advanced clinicopathological features and poor prognosis in patients with hepatocellular carcinoma. Diagn Pathol. 9:10002014. View Article : Google Scholar : PubMed/NCBI

15 

Zheng LD, Qi T, Yang D, Qi M, Li D, Xiang X, Huang K and Tong Q: microRNA-9 suppresses the proliferation, invasion and metastasis of gastric cancer cells through targeting cyclin D1 and Ets1. PLoS One. 8:e557192013. View Article : Google Scholar : PubMed/NCBI

16 

Selcuklu SD, Donoghue MT, Rehmet K, de Souza Gomes M, Fort A, Kovvuru P, Muniyappa MK, Kerin MJ, Enright AJ and Spillane C: MicroRNA-9 inhibition of cell proliferation and identification of novel miR-9-5p targets by transcriptome profiling in breast cancer cells. J Biol Chem. 287:29516–29528. 2012. View Article : Google Scholar : PubMed/NCBI

17 

Xue F, Liang Y, Li Z, Liu Y, Zhang H, Wen Y, Yan L, Tang Q, Xiao E and Zhang D: MicroRNA-9 enhances sensitivity to cetuximab in epithelial phenotype hepatocellular carcinoma cells through regulation of the eukaryotic translation initiation factor 5A-2. Oncol Lett. 15:813–820. 2018.PubMed/NCBI

18 

Thiery JP: Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer. 2:442–454. 2002. View Article : Google Scholar : PubMed/NCBI

19 

Harris TJ and Tepass U: Adherens junctions: From molecules to morphogenesis. Nat Rev Mol Cell Biol. 11:502–514. 2010. View Article : Google Scholar : PubMed/NCBI

20 

Christofori G: New signals from the invasive front. Nature. 441:444–450. 2016. View Article : Google Scholar

21 

Huang L, Wu RL and Xu AM: Epithelial-mesenchymal transition in gastric cancer. Am J Transl Res. 7:2141–2158. 2015.PubMed/NCBI

22 

Zheng HX, Li W, Wang Y, Xie T, Cai Y, Wang Z and Jiang B: miR-23a inhibits E-cadherin expression and is regulated by AP-1 and NFAT4 complex during Fas-induced EMT in gastrointestinal cancer. Carcinogenesis. 35:173–183. 2014. View Article : Google Scholar : PubMed/NCBI

23 

Murai T, Yamada S, Fuchs BC, Fujii T, Nakayama G, Sugimoto H, Koike M, Fujiwara M, Tanabe KK and Kodera Y: Epithelial-to-mesenchymal transition predicts prognosis in clinical gastric cancer. J Surg Oncol. 109:684–689. 2014. View Article : Google Scholar : PubMed/NCBI

24 

Yuan D, Xia H, Zhang Y, Chen L, Leng W, Chen T, Chen Q, Tang Q, Mo X, Liu M and Bi F: P-Akt/miR200 signaling regulates epithelial-mesenchymal transition, migration and invasion in circulating gastric tumor cells. Int J Oncol. 45:2430–2438. 2014. View Article : Google Scholar : PubMed/NCBI

25 

Takagi S, Tsuji T, Amagai T, Takamatsu T and Fujisawa H: Specific cell-surface labels in the visual centers of Xenopus laevis tadpole identified using monoclonal antibodies. Dev Biol. 122:90–100. 1987. View Article : Google Scholar : PubMed/NCBI

26 

Soker S, Takashima S, Miao HQ, Neufeld G and Klagsbrun M: Neuropilin-1 is expressed by endothelial and tumor cells as an isoform-specific receptor for vascular endothelial growth factor. Cell. 92:735–745. 1998. View Article : Google Scholar : PubMed/NCBI

27 

Miao HQ, Lee P, Lin H, Soker S and Klagsbrun M: Neuropilin-1 expression by tumor cells promotes tumor angiogenesis and progression. FASEB J. 14:2532–2539. 2000. View Article : Google Scholar : PubMed/NCBI

28 

Pellet-Many C, Frankel P, Jia H and Zachary I: Neuropilins: Structure, function and role in disease. Biochem J. 411:211–226. 2008. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

October-2019
Volume 18 Issue 4

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Hang C, Yan HS, Gong C, Gao H, Mao QH and Zhu JX: MicroRNA‑9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin‑1 Retraction in /10.3892/etm.2024.12687. Exp Ther Med 18: 2524-2530, 2019.
APA
Hang, C., Yan, H., Gong, C., Gao, H., Mao, Q., & Zhu, J. (2019). MicroRNA‑9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin‑1 Retraction in /10.3892/etm.2024.12687. Experimental and Therapeutic Medicine, 18, 2524-2530. https://doi.org/10.3892/etm.2019.7841
MLA
Hang, C., Yan, H., Gong, C., Gao, H., Mao, Q., Zhu, J."MicroRNA‑9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin‑1 Retraction in /10.3892/etm.2024.12687". Experimental and Therapeutic Medicine 18.4 (2019): 2524-2530.
Chicago
Hang, C., Yan, H., Gong, C., Gao, H., Mao, Q., Zhu, J."MicroRNA‑9 inhibits gastric cancer cell proliferation and migration by targeting neuropilin‑1 Retraction in /10.3892/etm.2024.12687". Experimental and Therapeutic Medicine 18, no. 4 (2019): 2524-2530. https://doi.org/10.3892/etm.2019.7841