کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8644822 1569769 2018 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Systematic bioinformatic approaches reveal novel gene expression signatures associated with acquired resistance to EGFR targeted therapy in lung cancer
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی ژنتیک
پیش نمایش صفحه اول مقاله
Systematic bioinformatic approaches reveal novel gene expression signatures associated with acquired resistance to EGFR targeted therapy in lung cancer
چکیده انگلیسی
According to our meta-analyses, 830 and 1286 genes were differentially expressed in the TKIs-resistant EGFR-mutant NSCLC cell lines compared to TKIs-sensitive EGFR-mutant NSCLC cell lines in the absence and presence of TKIs treatment, respectively. PPI network analysis identified ESR1 and ELAVL1 to be the most highly ranked hub genes involved in the NSCLC acquired TKI-resistance. Moreover, gene set enrichment analyses indicated that up-regulated genes are mainly distributed in hallmarks “Glycolysis”, some “E2F targets”. Down-regulated genes mainly contribute to hallmarks “interferon alpha response”, “interferon gamma response”, and also “E2F targets”. For the first time, this study has demonstrated several robust candidate genes and pathways of the NSCLC acquired TKI-resistance. Further experimental verifications are highly recommended to examine our findings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 667, 15 August 2018, Pages 62-69
نویسندگان
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