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Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosis

9 Jun 2023

Abstract excerpt

Introduction: Gastric cancer is one of the most common cancers in the world. This study aimed to identify genes, biomarkers, and metabolic pathways affecting gastric cancer using bioinformatic analysis and meta-analysis. Methods: Datasets containing gene expression profiles of tumor lesions and adjacent non-tumor mucosa samples were downloaded. Common differentially expressed genes between data sets were selected...

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Share to Ferroptosis and cancer prognosis
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 37361568
DOI: 10.3389/fonc.2023.1187521

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