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Expression data from human gastric tumor and human normal stomach tissues

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE118916
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We identified several hub genes and key pathways associated with GAC initiation and progression by analysising the microarray data on DEGs, whcih provided a detailed molecular mechanism underlying GAC occurrence and progression. We analyzed the gene expression profile in GAC-associated tissues. 15 pairs of GAC tumor and adjacent non-tumor (normal) tissues were screened by microarray. Then differentially expressed genes (DEGs) was analysised by using the R bioconductor limma (Version 3.36.2). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) analysis were used to annotate the unique biological significance and important pathways of enriched DEGs, which was identified by Fisher’s exact test (p<0.05). To find the hub genes and key pathways, we constructed thre protein-protein interaction (PPI) network by Cytoscape and conducted KEGG enrichment analysis of the prime module extracted from the PPI network. We further applied the TCGA database to start the survival analysis of these hub genes by Kaplan-Meier estimates.
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2019-06-10
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