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pmid:33187219
Establishment of a Gene Signature to Predict Prognosis for Patients with Lung Adenocarcinoma.
Zhaodong Li · Fangyuan Qi · Fan Li
International journal of molecular sciences · 2020 doi:10.3390/ijms21228479
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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In the Gene Expression Omnibus (GEO) database, GSE18842, GSE75037, GSE101929, and GSE19188 mRNA expression profiles were downloaded to screen differentially expressed genes (DEGs), which were used to establish a protein-protein interaction network and perform clustering module analysis. Univariate and multivariate proportional hazards regression analyses were applied to develop and validate the gene signature based on the TCGA dataset. The signature genes were then verified on GEPIA, Oncomine, and HPA platforms. Expression levels of corresponding genes were also measured by qRT-PCR and Western blotting in HBE, A549, and PC-9 cell lines. The prognostic signature based on eight genes (TTK, HMMR, ASPM, CDCA8, KIF2C, CCNA2, CCNB2, and MKI67) was established, which was independent of other clinical factors. The risk model offered better discrimination between risk groups, and patients with high-risk scores tended to have poor survival rate at 1-, 3- and 5-year follow-up. The model also presented better survival prediction in cancer-specific cohorts of age, gender, clinical stage III/IV, primary tumor 1/2, and lymph node metastasis 1/2. The signature genes, moreover, were highly expressed in A549 and PC-9 cells. In conclusion, the risk score signature could be used for prognostic estimation and as an independent risk factor for survival prediction in patients with LUAD.", "claims": [{"id": "claim-data-access", "statement": "Four gene expression profiles including GSE18842, GSE75037, GSE101929, and GSE19188 were obtained from the GEO online public database. GSE18842 contained 45 normal lung samples and 46 LUAD samples;", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33187219", "locator": "sections[10] \"4.1. Data Collection\" paragraph 2", "quote": "Four gene expression profiles including GSE18842, GSE75037, GSE101929, and GSE19188 were obtained from the GEO online public database. 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