MicroRNA-200c binding to FN1 suppresses the proliferation, migration and invasion of gastric cancer cells

Zhang, Hengchun; Sun, Zhiguo; Li, Yan; Ding, Fan; Jiang, Hao

doi:10.1016/j.biopha.2017.01.023

Cited by 69 publications

(54 citation statements)

References 34 publications

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“…FN1 was the gene with the highest degree of connectivity. It is expressed in a wide range of healthy plasmalemmas, lamina propria mucosae and smooth-muscle cell layers, and it is involved in a variety of cellular processes including embryogenesis, blood coagulation, wound healing, host defense and metastasis (44). As a glycoprotein involved in cell adhesion and migratory processes, FN1 is hypothesized to be associated with signaling pathways associated with cancer (13).…”

Section: Discussionmentioning

confidence: 99%

Identification of potential key genes in gastric cancer using bioinformatics analysis

Wang

Zhao

et al. 2020

biom rep

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Gastric cancer (GC) is one of the most common types of cancer worldwide. Patients must be identified at an early stage of tumor progression for treatment to be effective. The aim of the present study was to identify potential biomarkers with diagnostic value in patients with GC. To examine potential therapeutic targets for GC, four Gene Expression Omnibus (GEO) datasets were downloaded and screened for differentially expressed genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were subsequently performed to study the function and pathway enrichment of the identified DEGs. A protein-protein interaction (PPI) network was constructed. The CytoHubba plugin of Cytoscape was used to calculate the degree of connectivity of proteins in the PPI network, and the two genes with the highest degree of connectivity were selected for further analysis. Additionally, the two DEGs with the largest and smallest log Fold Change values were selected. These six key genes were further examined using Oncomine and the Kaplan-Meier plotter platform. A total of 99 upregulated and 172 downregulated genes common to all four GEO datasets were screened. The DEGs were primarily enriched in the Biological Process terms: 'extracellular matrix organization', 'collagen catabolic process' and 'cell adhesion'. These three KEGG pathways were significantly enriched in the categories: 'ECM-receptor interaction', 'protein digestion and absorption', and 'focal adhesion'. Based on Oncomine, expression of ATP4A and ATP4B were downregulated in GC, whereas expression of the other genes were all upregulated. The Kaplan-Meier plotter platform confirmed that upregulated expression of the identified key genes was significantly associated with worse overall survival of patients with GC. The results of the present study suggest that FN1, COL1A1, INHBA and CST1 may be potential biomarkers and therapeutic targets for GC. Additional studies are required to explore the potential value of ATP4A and ATP4B in the treatment of GC.

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Section: Discussionmentioning

confidence: 99%

Identification of potential key genes in gastric cancer using bioinformatics analysis

Wang

Zhao

et al. 2020

biom rep

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“…Zhang et al unraveled that miR-200c suppressed GC cell reproduction and metastasis through directly targeting FN1. 25 Wang et al demonstrated that miR-190b enhanced the radio-sensitivity of GC cells through negatively regulated Bcl-2. 26 Ding et al revealed that miR-27a stimulated the tumorgenesis of GC by activating the AKT/GSK3b pathway.…”

Section: Discussionmentioning

confidence: 99%

MiR-122-5p inhibits cell migration and invasion in gastric cancer by down-regulating DUSP4

Gao

Wang

et al. 2018

Cancer Biology & Therapy

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“…Liu et al reported that miR-200c mimic significantly reduced EMT, invasion, and migration while the inhibitor generated the opposite effects (Liu et al, 2017), which were consistent with our in vitro and in vivo experimental results. Furthermore, Zhang et al suggested that miR-200c inhibited the proliferation, migration, and invasion of gastric cancer cells (Zhang et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

MicroRNA-200c suppresses epithelial-mesenchymal transition of ovarian cancer by targeting cofilin-2

Zhang

Chen

2018

Preprint

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This study investigated the effects of and cofilin-2 (CFL2) in regulating epithelial-mesenchymal transition (EMT) in ovarian cancer. The level of miR-200c was lower in invasive SKOV3 cells than that in non-invasive OVCAR3 cells, whereas CFL2 showed the opposite trend. Bioinformatics analysis and dual-luciferase reporter gene assays indicated that CFL2 was a direct target of miR-200c. Furthermore, SKOV3 and OVCAR3 cells were transfected with miR-200c mimic or inhibitor, pCDH-CFL2 (CFL2 overexpression), or CFL2 shRNA (CFL2 silencing). MiR-200c inhibition and CFL2 overexpression resulted in elevated levels of both CFL2 and vimentin while reducing E-cadherin expression. They also increased ovarian cancer cell invasion and migration in vitro and in vivo and increased the tumor volumes. Conversely, miR-200c mimic and CFL2 shRNA exerted the opposite effects as those aforementioned. In addition, the effects of pCDH-CFL2 and CFL2 shRNA were reversed by the miR-200c mimic and inhibitor, respectively. This finding suggested that miR-200c could be a potential tumor suppressor by targeting CFL2 in the EMT process.

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MicroRNA-200c binding to FN1 suppresses the proliferation, migration and invasion of gastric cancer cells

Cited by 69 publications

References 34 publications

Identification of potential key genes in gastric cancer using bioinformatics analysis

Identification of potential key genes in gastric cancer using bioinformatics analysis

MiR-122-5p inhibits cell migration and invasion in gastric cancer by down-regulating DUSP4

MicroRNA-200c suppresses epithelial-mesenchymal transition of ovarian cancer by targeting cofilin-2

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