| Literature DB >> 31511647 |
Di Chen1, Zhen Ning1,2, Huan Chen1, Chang Lu1,2, Xiaolong Liu1, Tian Xia1, Huan Qi1, Wen Wang1, Ting Ling1, Xin Guo1,2, Dinesh Singh Tekcham1, Xiumei Liu1, Jing Liu1, Aman Wang2, Qiu Yan2, Ji-Wei Liu3, Guang Tan4, Hai-Long Piao5.
Abstract
Ubiquitin-specific-processing proteases (USPs), the largest deubiquitinating enzyme (DUB) subfamily, play critical roles in cancer. However, clinical utility of USPs is hindered by limited knowledge about their varied and substrate-dependent actions. Here, we performed a comprehensive investigation on pan-cancer impacts of USPs by integrating multi-omics data and annotated data resources, especially a deubiquitination network. Meaningful insights into the roles of 54 USPs in 29 types of cancers were generated. Although rare mutations were observed, a majority of USPs exhibited significant expressional alterations, prognostic impacts and strong correlations with cancer hallmark pathways. Notably, from our DUB-substrate interaction prediction model, additional USP-substrate interactions (USIs) were recognized to complement knowledge gap about cancer-relevant USIs. Intriguingly, expression signatures of the USIs revealed clinically meaningful cancer subtypes, where key USPs and substrates cooperatively contributed to significant prognosis differences among subtypes. Overall, this investigation provides a valuable resource to assist mechanism research and clinical utility about USPs.Entities:
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Year: 2019 PMID: 31511647 DOI: 10.1038/s41388-019-1002-4
Source DB: PubMed Journal: Oncogene ISSN: 0950-9232 Impact factor: 9.867