Distal gastric cancer(DGC)is a subgroup of gastric cancer(GC),which has different molecular characteristics from proximal gastric cancer(PGC).These differences result in different overall survival(OS)rates;however,dat...Distal gastric cancer(DGC)is a subgroup of gastric cancer(GC),which has different molecular characteristics from proximal gastric cancer(PGC).These differences result in different overall survival(OS)rates;however,data pertaining to the survival rate in PGC or DGC are contradictory.This suggests that the location of GC is not the unique cause of the different survival rates,while the molecular characteristics might be more important factors determining the prognosis of DGC.Therefore,the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the potential molecular mechanism.The Cancer Genome Atlas(TCGA)public database was employed to screen data relating to DGC,and we conducted a weighted gene co-expression network analysis(WGCNA)on DGC patient samples to establish co-expression modules.High-weight genes(hub genes)in a dominant color module were identified.In vitro experiments and gene set enrichment analyses(GSEA)were carried out to elucidate the potential molecular mechanism.In this study,139 DGC samples were enrolled to perform a co-expression analysis.According to the correlation between gene modules and clinical characteristics,the royal blue module related to stage M of DGC was screened,and a survival analysis was conducted to show that highcoagulation-factor V(F5)expression was related to the short OS of patients with GC.In vitro experiments confirmed that F5 could promote the migration of GC cells.GSEA suggested that F5 might have affected the prognosis of GC by modulating the activities of the Wnt and/or the TGF-βsignaling pathways.Our results indicated that high F5 expression predicts poor prognosis of patients with DGC,and it functions probably by promoting cell migration through the Wnt and/or the TGF-βsignaling pathways.展开更多
基金funds,including the National Natural Science Foundation of China(Nos.81972331,81972751,81572374)The National Key Research and Development Program of China(2017YFC1308900)+2 种基金Technological Special Project of Liaoning Province of China(2019020176-JH1/103)Science and Technology Plan Project of Liaoning Province(NO.2013225585)The General Projects of Liaoning Province Colleges and Universities(LFWK201706).
文摘Distal gastric cancer(DGC)is a subgroup of gastric cancer(GC),which has different molecular characteristics from proximal gastric cancer(PGC).These differences result in different overall survival(OS)rates;however,data pertaining to the survival rate in PGC or DGC are contradictory.This suggests that the location of GC is not the unique cause of the different survival rates,while the molecular characteristics might be more important factors determining the prognosis of DGC.Therefore,the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the potential molecular mechanism.The Cancer Genome Atlas(TCGA)public database was employed to screen data relating to DGC,and we conducted a weighted gene co-expression network analysis(WGCNA)on DGC patient samples to establish co-expression modules.High-weight genes(hub genes)in a dominant color module were identified.In vitro experiments and gene set enrichment analyses(GSEA)were carried out to elucidate the potential molecular mechanism.In this study,139 DGC samples were enrolled to perform a co-expression analysis.According to the correlation between gene modules and clinical characteristics,the royal blue module related to stage M of DGC was screened,and a survival analysis was conducted to show that highcoagulation-factor V(F5)expression was related to the short OS of patients with GC.In vitro experiments confirmed that F5 could promote the migration of GC cells.GSEA suggested that F5 might have affected the prognosis of GC by modulating the activities of the Wnt and/or the TGF-βsignaling pathways.Our results indicated that high F5 expression predicts poor prognosis of patients with DGC,and it functions probably by promoting cell migration through the Wnt and/or the TGF-βsignaling pathways.
