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ABSTRACT: Background
We explored key molecules affecting the prognosis of gastric adenocarcinoma (STAD) using co-analysis of chromatin accessibility (ATAC-seq), mRNA expression (RNA-seq), and overall survival.Methods
We used the assay for transposase-accessible chromatin using sequencing (ATAC-seq) profiles to identify genes with chromatin accessibilities in their promoter regions. The RNA-seq profiles were processed for differentially expressed genes (DEGs) at mRNA level. The DEGs with chromatin accessibilities in promoter regions were further filtered using the Pearson correlation with TP53 expression. After co-analysis, genes were identified for the prognostic value using Kaplan-Meier method, followed by Pearson correlation analysis with significant pathways. For verification, we
SUBMITTER: Huang C
PROVIDER: S-EPMC7813815 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature