biostudies-literatureElizazu JInstituto de Salud Carlos IIIHealth Department of the Basque CountryGipuzkoa City Council1355-1373https://www.ebi.ac.uk/biostudies/studies/S-EPMC11322236biostudies-literatureUnknown47(4)<h4>Background</h4>Gastric Cancer (GC) presents poor outcome, which is consequence of the high incidence of recurrence and metastasis at early stages. GC patients presenting recurrent or metastatic disease display a median life expectancy of only 8 months. The mechanisms underlying GC progression remain poorly understood.<h4>Methods</h4>We took advantage of public available GC datasets from TCGA using GEPIA, and identified the matched genes among the 100 genes most significantly associated with overall survival (OS) and disease free survival (DFS). Results were confirmed in ACRG cohort and in over 2000 GC cases obtained from several cohorts integrated using our own analysis pipeline. The Kaplan-Meier method and multivariate Cox regression analyses were used for prognostic significance and Cellular oncology (Dordrecht, Netherlands)Identification of a novel gene signature related to prognosis and metastasis in gastric cancer.PMC1132223620223330342022-CIEN-000012-01PI22/00168PI22/01905Elizazu JOtaegi-Ugartemendia MArtetxe-Zurutuza AMoncho-Amor VMoreno-Valladares MCarrasco-Garcia EMatheu AfalseIdentification of a novel gene signature related to prognosis and metastasis in gastric cancer.<h4>Background</h4>Gastric Cancer (GC) presents poor outcome, which is consequence of the high incidence of recurrence and metastasis at early stages. GC patients presenting recurrent or metastatic disease display a median life expectancy of only 8 months. The mechanisms underlying GC progression remain poorly understood.<h4>Methods</h4>We took advantage of public available GC datasets from TCGA using GEPIA, and identified the matched genes among the 100 genes most significantly associated with overall survival (OS) and disease free survival (DFS). Results were confirmed in ACRG cohort and in over 2000 GC cases obtained from several cohorts integrated using our own analysis pipeline. The Kaplan-Meier method and multivariate Cox regression analyses were used for prognostic significance and 2024-01-01T00:00:00Z2024 Aug2026-06-03T00:57:26.089Z2024-10-18T19:37:09.287ZS-EPMC113222363848061110.1007/s13402-024-00932-y