Systematic analysis of multigene predictors in gastric cancer exploiting gene expression signature

In this study, we investigated the top 10% overexpressed genes in GC from five data sets of the Oncomine platform, with 265 GC samples versus 174 normal gastric mucosa samples. Sixteen candidate genes were identified as predictors of GC, of which 14 genes were verified through the comparison of expression levels in specimens from normal (chronic gastritis, 21 samples) and GC groups (38 samples). In addition, unique molecular portraits of diffuse adenocarcinoma (DA), intestinal adenocarcinoma (IA), and mixed adenocarcinoma (MA) were studied through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, where DA showed higher extracellular matrix alteration while IA and MA showed higher cell ‐cycle alteration than other types. We also found that the elevated expressions of genes during GC progression were independent of gene mutations, and high core‐binding factor subunit β expression is correlated with a high overall survival rate in GC patients. Our research may provide an effici ent clinical diagnosis of GC at an early stage with high accuracy and thus help improve the overall survival rate through early therapeutic interventions.
Source: Journal of Cellular Biochemistry - Category: Biochemistry Authors: Tags: RESEARCH ARTICLE Source Type: research