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...

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Detalles Bibliográficos
Autores principales: Ren, Chuanli, Sun, Weixiu, Lian, Xu, Han, Chongxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2020
Materias:
Short Communication
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

Internet

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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