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An integrative pan-cancer analysis of biological and clinical impacts underlying ubiquitin-specific-processing
Di Chen1, Zhen Ning1,2, Huan Chen1,3
1CAS Key Laboratory of Separation Science for Analytical Chemistry, Scientific Research Center for Translational Medicine, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
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.
Insights
Ubiquitin-specific-processing proteases (USPs) are crucial in cancer, but their roles are complex. This study reveals how 54 USPs impact 29 cancer types, uncovering new therapeutic targets and patient subtypes.
Area of Science:
- Biochemistry
- Molecular Biology
- Oncology
Background:
- Ubiquitin-specific-processing proteases (USPs) are the largest deubiquitinating enzyme (DUB) subfamily and are implicated in cancer development.
- The clinical application of USPs is limited by incomplete understanding of their diverse and substrate-specific functions in cancer.
Purpose of the Study:
- To comprehensively investigate the pan-cancer impacts of USPs.
- To identify novel USP-substrate interactions (USIs) and their clinical relevance.
- To provide a resource for USP-related cancer research and clinical utility.
Main Methods:
- Integration of multi-omics data and annotated resources, including a deubiquitination network.
- Analysis of USP expression alterations, mutations, and prognostic impacts across 29 cancer types.
- Development of a DUB-substrate interaction prediction model to identify novel USIs.
Main Results:
- Significant expressional alterations and prognostic impacts were observed for most of the 54 studied USPs across 29 cancer types.
- A DUB-substrate interaction prediction model identified additional cancer-relevant USIs, addressing knowledge gaps.
- USP-substrate interaction signatures revealed clinically meaningful cancer subtypes with distinct prognoses.
Conclusions:
- This study offers valuable insights into the roles of USPs in various cancers.
- The identified USIs and cancer subtypes can aid in understanding USP mechanisms and developing targeted therapies.
- The findings provide a foundation for advancing the clinical utility of USPs in oncology.
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