ArticleLung cancer management2020
Identification of nine key genes by bioinformatics analysis for predicting poor prognosis in smoking-induced lung adenocarcinoma.
Article in Lung cancer management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Identification ofFrontiers in oncology · 2021Article
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4 authors.
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Abstract
aimTo screen and identify key genes related to the development of smoking-induced lung adenocarcinoma (LUAD). MATERIALS &
methodsWe obtained data from the GEO chip dataset GSE31210. The differentially expressed genes were screened by GEO2R. The protein interaction network of differentially expressed genes was constructed by STRING and Cytoscape. Finally, core genes were screened. The overall survival time of patients with the core genes was analyzed by Kaplan-Meier method. Gene ontology and Kyoto encyclopedia of genes and genomes bioaccumulation was calculated by DAVID.
resultsFunctional enrichment analysis indicated that nine key genes were actively involved in the biological process of smoking-related LUAD.
conclusion23 core genes and nine key genes among them were correlated with adverse prognosis of LUAD induced by smoking.
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