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Identifying the hub gene in gastric cancer by bioinformatics analysis and in vitro experiments

15 Apr 2020

Abstract excerpt

Gastric cancer (GC) is one of the main causes of the high death rate in the world. But the molecular mechanisms of GC carcinogenesis remain little known. This study aimed to identify novel promising biomarkers of GC and reveal its potential molecular mechanisms by integrating bioinformatics analysis. We screened the overlapped differentially expressed genes (DEGs) of TCGA and several GEO datasets. Among these...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32293980
DOI: 10.1080/15384101.2020.1749789

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