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Genes 2017, 8(7), 182;

Evolutionary Origins of Cancer Driver Genes and Implications for Cancer Prognosis

Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
Author to whom correspondence should be addressed.
Academic Editors: Victor Jin, Binhua Tang and Junbai Wang
Received: 28 March 2017 / Revised: 27 June 2017 / Accepted: 10 July 2017 / Published: 14 July 2017
(This article belongs to the Special Issue Integrative Genomics and Systems Medicine in Cancer)
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The cancer atavistic theory suggests that carcinogenesis is a reverse evolution process. It is thus of great interest to explore the evolutionary origins of cancer driver genes and the relevant mechanisms underlying the carcinogenesis. Moreover, the evolutionary features of cancer driver genes could be helpful in selecting cancer biomarkers from high-throughput data. In this study, through analyzing the cancer endogenous molecular networks, we revealed that the subnetwork originating from eukaryota could control the unlimited proliferation of cancer cells, and the subnetwork originating from eumetazoa could recapitulate the other hallmarks of cancer. In addition, investigations based on multiple datasets revealed that cancer driver genes were enriched in genes originating from eukaryota, opisthokonta, and eumetazoa. These results have important implications for enhancing the robustness of cancer prognosis models through selecting the gene signatures by the gene age information. View Full-Text
Keywords: cancer; driver genes; evolution; endogenous molecular network; prognosis cancer; driver genes; evolution; endogenous molecular network; prognosis

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Chu, X.-Y.; Jiang, L.-H.; Zhou, X.-H.; Cui, Z.-J.; Zhang, H.-Y. Evolutionary Origins of Cancer Driver Genes and Implications for Cancer Prognosis. Genes 2017, 8, 182.

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