Jang Kiwon, Kim Kwoneel, Cho Ara, Lee Insuk, Choi Jung Kyoon
Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
PLoS Comput Biol. 2017 Mar 23;13(3):e1005449. doi: 10.1371/journal.pcbi.1005449. eCollection 2017 Mar.
Cancer driving genes have been identified as recurrently affected by variants that alter protein-coding sequences. However, a majority of cancer variants arise in noncoding regions, and some of them are thought to play a critical role through transcriptional perturbation. Here we identified putative transcriptional driver genes based on combinatorial variant recurrence in cis-regulatory regions. The identified genes showed high connectivity in the cancer type-specific transcription regulatory network, with high outdegree and many downstream genes, highlighting their causative role during tumorigenesis. In the protein interactome, the identified transcriptional drivers were not as highly connected as coding driver genes but appeared to form a network module centered on the coding drivers. The coding and regulatory variants associated via these interactions between the coding and transcriptional drivers showed exclusive and complementary occurrence patterns across tumor samples. Transcriptional cancer drivers may act through an extensive perturbation of the regulatory network and by altering protein network modules through interactions with coding driver genes.
癌症驱动基因已被确定为经常受到改变蛋白质编码序列的变异影响。然而,大多数癌症变异出现在非编码区域,其中一些变异被认为通过转录扰动发挥关键作用。在这里,我们基于顺式调控区域的组合变异复发情况鉴定了推定的转录驱动基因。所鉴定的基因在癌症类型特异性转录调控网络中显示出高连通性,具有高外向度和许多下游基因,突出了它们在肿瘤发生过程中的致病作用。在蛋白质相互作用组中,所鉴定的转录驱动基因不像编码驱动基因那样高度连通,但似乎形成了一个以编码驱动基因为中心的网络模块。通过编码驱动基因和转录驱动基因之间的这些相互作用相关联的编码和调控变异在肿瘤样本中呈现出排他性和互补性的发生模式。转录性癌症驱动基因可能通过对调控网络的广泛扰动以及通过与编码驱动基因的相互作用改变蛋白质网络模块来发挥作用。