Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33015179", "kind": "science-record", "revision": 7, "content_hash": "sha256:0c3116623d398460fd2e32ae02082f8c511b8dbb9f50ec4b9b140de541ece605", "created_at": "2026-11-01T15:41:12Z", "updated_at": "2026-11-01T22:02:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis.", "doi": "10.1155/2020/7658230", "pmid": "33015179", "authors": ["Xinyu Chong", "Rui Peng", "Yan Sun", "Luyu Zhang", "Zheng Zhang"], "journal": "BioMed research international", "year": 2020, "abstract": "Gastric cancer (GC) is one of the most common malignancies of the digestive system with few genetic markers for its early detection and prevention. In this study, differentially expressed genes (DEGs) were analyzed using GEO2R from GSE54129 and GSE13911 of the Gene Expression Omnibus (GEO). Then, gene enrichment analysis, protein-protein interaction (PPI) network construction, and topological analysis were performed on the DEGs by the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, STRING, and Cytoscape. Finally, we performed survival analysis of key genes through the Kaplan-Meier plotter. A total of 1034 DEGs were identified in GC. GO and KEGG results showed that DEGs mainly enriched in plasma membrane, cell adhesion, and PI3K-Akt signaling pathway. Subsequently, the PPI network with 44 nodes and 333 edges was constructed, and 18 candidate genes in the network were focused on by centrality analysis and module analysis. Furthermore, data showed that high expressions of fibronectin 1(FN1), the tissue inhibitor of metalloproteinases 1 (TIMP1), secreted phosphoprotein 1 (SPP1), apolipoprotein E (APOE), and versican (VCAN) were related to poor overall survivals in GC patients. In summary, this study suggests that FN1, TIMP1, SPP1, APOE, and VCAN may act as the key genes in GC.", "claims": [{"id": "claim-method", "statement": "The adj. p value was obtained by the Benjamini and Hochberg method to control the probability of false positives. Adj. p value < 0.01 and ∣log FC | >1 were used as the cut-off criteria [17].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33015179", "locator": "sections[4] \"2.2. Identification of DEGs\" paragraph 2", "quote": "The adj. p value was obtained by the Benjamini and Hochberg method to control the probability of false positives. 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