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Identification of nine key genes by bioinformatics analysis for predicting poor prognosis in smoking-induced lung adenocarcinoma
AIM: To screen and identify key genes related to the development of smoking-induced lung adenocarcinoma (LUAD). MATERIALS & METHODS: We obtained data from the GEO chip dataset GSE31210. The differentially expressed genes were screened by GEO2R. The protein interaction network of differentially e...
Autores principales: | Ren, Chuanli, Sun, Weixiu, Lian, Xu, Han, Chongxu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186853/ https://www.ncbi.nlm.nih.gov/pubmed/32346404 http://dx.doi.org/10.2217/lmt-2020-0009 |
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