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Considering smoking status, coexpression network analysis of non–small cell lung cancer at different cancer stages, exhibits important genes and pathways
Author(s) -
Mortezaei Zahra,
Tavallaei Mahmood,
Hosseini Sayed Mostafa
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.29246
Subject(s) - lung cancer , refseq , gene , cancer , biology , oncology , bioinformatics , medicine , genetics , genome
Non–small cell lung cancer (NSCLC) is the most common subtype of lung cancer among smokers, nonsmokers, women, and young individuals. Tobacco smoking and different stages of the NSCLC have important roles in cancer evolution and require different treatments. Existence of poorly effective therapeutic options for the NSCLC brings special attention to targeted therapies by considering genetic alterations. In this study, we used RNA‐Seq data to compare expression levels of RefSeq genes and to find some genes with similar expression levels. We utilized the “Weighted Gene Co‐expression Network Analysis” method for three different datasets to create coexpressed genetic modules having relations with the smoking status and different stages of the NSCLC. Our results indicate seven important genetic modules having important associations with the smoking status and cancer stages. Based on investigated genetic modules and their biological explanation, we then identified 13 newly candidate genes and 7 novel transcription factors in association with the NSCLC, the smoking status, and cancer stages. We then examined those results using other datasets and explained our results biologically to illustrate some important genes in relation with the smoking status and metastatic stage of the NSCLC that can bring some crucial information about cancer evolution. Our genetic findings also can be used as some therapeutic targets for different clinical conditions of the NSCLC.