scholarly journals MST4 Predicts Poor Prognosis And Promotes Metastasis By Facilitating Epithelial–Mesenchymal Transition In Gastric Cancer

2019 ◽  
Vol Volume 11 ◽  
pp. 9353-9369 ◽  
Author(s):  
Taiyuan Li ◽  
Li Deng ◽  
Xin He ◽  
Gongan Jiang ◽  
Fang Hu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition

scholarly journals Plastin3 is associated with epithelial‑mesenchymal transition and poor prognosis in gastric cancer

2018 ◽  
Author(s):  
Junji Kurashige ◽  
Takehiro Yokobori ◽  
Kosuke Mima ◽  
Genta Sawada ◽  
Yusuke Takahashi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition

scholarly journals CD146 Expression Correlates with Epithelial-Mesenchymal Transition Markers and a Poor Prognosis in Gastric Cancer

2012 ◽  
Vol 13 (5) ◽  
pp. 6399-6406 ◽  
Author(s):  
Wen-Fang Liu ◽  
Shu-Rong Ji ◽  
Jian-Jun Sun ◽  
Yi Zhang ◽  
Zhong-Yan Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition ◽  
Cd146 Expression

scholarly journals CXCR6 predicts poor prognosis in gastric cancer and promotes tumor metastasis through epithelial-mesenchymal transition

2017 ◽  
Vol 37 (6) ◽  
pp. 3279-3286 ◽  
Author(s):  
Jie-Jie Jin ◽  
Fa-Xiang Dai ◽  
Zi-Wen Long ◽  
Hong Cai ◽  
Xiao-Wen Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Tumor Metastasis ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition

Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer

2021 ◽  
pp. 1-17
Author(s):  
Qiaoyun Zhao ◽  
Jun Xie ◽  
Jinliang Xie ◽  
Rulin Zhao ◽  
Conghua Song ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Epithelial Mesenchymal Transition ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Correlation Network ◽  
Receptor Interaction ◽  
Hub Genes ◽  
Mesenchymal Transition ◽  
Weighted Correlation

BACKGROUND: Gastric cancer (GC) is one of the most deadliest tumours worldwide, and its prognosis remains poor. OBJECTIVE: This study aims to identify and validate hub genes associated with the progression and prognosis of GC by constructing a weighted correlation network. METHODS: The gene co-expression network was constructed by the WGCNA package based on GC samples and clinical data from the TCGA database. The module of interest that was highly related to clinical traits, including stage, grade and overall survival (OS), was identified. GO and KEGG pathway enrichment analyses were performed using the clusterprofiler package in R. Cytoscape software was used to identify the 10 hub genes. Differential expression and survival analyses were performed on GEPIA web resources and verified by four GEO datasets and our clinical gastric specimens. The receiver operating characteristic (ROC) curves of hub genes were plotted using the pROC package in R. The potential pathogenic mechanisms of hub genes were analysed using gene set enrichment analysis (GSEA) software. RESULTS: A total of ten modules were detected, and the magenta module was identified as highly related to OS, stage and grade. Enrichment analysis of magenta module indicated that ECM-receptor interaction, focal adhesion, PI3K-Akt pathway, proteoglycans in cancer were significantly enriched. The PPI network identified ten hub genes, namely COL1A1, COL1A2, FN1, POSTN, THBS2, COL11A1, SPP1, MMP13, COMP, and SERPINE1. Three hub genes (FN1, COL1A1 and SERPINE1) were finally identified to be associated with carcinogenicity and poor prognosis of GC, and all were independent risk factors for GC. The area under the curve (AUC) values of FN1, COL1A1 and SERPINE1 for the prediction of GC were 0.702, 0.917 and 0.812, respectively. GSEA showed that three hub genes share 15 common upregulated biological pathways, including hypoxia, epithelial mesenchymal transition, angiogenesis, and apoptosis. CONCLUSION: We identified FN1, COL1A1 and SERPINE1 as being associated with the progression and poor prognosis of GC.

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