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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...
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| Publié dans: | Lung Cancer Manag |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Future Medicine Ltd
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7186853/ https://ncbi.nlm.nih.gov/pubmed/32346404 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2217/lmt-2020-0009 |
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