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pmid:34671675
Identification of Significant Genes in Lung Cancer of Nonsmoking Women via Bioinformatics Analysis.
Yu Wang · Sibo Hu · Xianguang Bai · Ke Zhang · Ruixue Yu · Xichao Xia · Xinhua Zheng
BioMed research international · 2021 doi:10.1155/2021/5516218
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Experiment
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Analysis
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Complete file
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The GSE19804 microarray was downloaded from the GEO database and differentially expressed genes were identified using the limma package analysis in R software, with the screening criteria of p value < 0.01 and ∣log2 fold change (FC) | >2.\nRESULTS: A total of 169 DEGs including 130 upregulated genes and 39 downregulated were selected. Gene Ontology and KEGG pathway analysis were performed using the DAVID website, and protein-protein interaction (PPI) networks were constructed and the hub gene module was screened through STING and Cytoscape.\nCONCLUSIONS: We obtained five key genes such as GREM1, MMP11, SPP1, FOSB, and IL33 which were strongly associated with lung cancer in nonsmoking women, which improved understanding and could serve as new therapeutic targets, but their functionality needs further experimental verification.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier survival chart was conducted to compare the two patient cohorts, and the 95% confidence interval and logrank value hazard ratio were calculated.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34671675", "locator": "sections[7] \"2.5. 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