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Identification of Driver Genes in Lung Squamous Cell Carcinoma and Lung Adenocarcinoma

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Zhengtai Li, Fusheng Li, Huixue Tang, Xiao Ge, Lida Xu, Changyuan Yu

Abstract


The non-small cell lung cancer (NSCLC), including lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD), accounts for a large proportion of lung cancer cases. However, the mechanisms of LUSC and LUAD are very different, especially the pathogenesis of LUSC remains unclear. At present, the research on the targeted therapeutic sites of LUAD has approached maturity and these targets are of clinical significance. However, effective therapeutic targets have not been identified in LUSC, and at present, the same targeted therapeutic strategy for LUAD is also applied in LUSC treatment. We used the data from The Cancer Genome Atlas program to analyze the driver genes of LUAD and LUSC by two types of algorithms, namely, the OncodriveCLUST and Multi-Dendrix. Our results showed that the driver genes of LUAD concentrates in the KRAS/epidermal growth factor receptor/TP53 pathways, while LUSC involves multiple pathways, including PIK3CA, NFE2L2, and TP53. The results showed that different carcinogenic mechanisms exist between these two types of NSCLC, implying that different therapeutic targets for LUSC deserve our attention. At the same time, the results of survival analysis proved that the driver genes identified using the two algorithms in combination may be more valid and reliable than those identified by solely using MutsigCV.


Keywords


Driver genes, Non-small cell lung cancer, OncodriveCLUST algorithm, Multi-Dendrix algorithm

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DOI: http://dx.doi.org/10.18063/c+.v1i4.258

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