NDLI: A risk signature of ubiquitin-specific protease family predict the prognosis and therapy of kidney cancer patients

Content Provider	Springer Nature : BioMed Central
Author	Wang, Renjie Liu, Yang Li, Jingxian Zhao, Yubao An, Rui Ma, Zhifang
Abstract	Ubiquitin-specific proteases (USPs) are closely related to protein fate and cellular processes through various molecular signalling pathways, including DNA damage repair, p53, and transforming growth factor-β (TGF-β) pathways. In recent years, increasing evidence has revealed the pivotal role of ubiquitination in tumorigenesis of KIRC. However, USPs' molecular mechanism and clinical relevance in kidney cancer still need further exploration. Our study first determined prognosis-related ubiquitin-specific proteases (PRUSPs) in KIRC. We found these genes co-expressed with each other and might regulate different substrates. Based on the USPs' expression, the PRUSPs risk signature was constructed to predict the survival probability of KIRC patients. The patients in high-PRUSPs-risk group showed a low survival rate. ROC and calibration curve indicated a discriminate capacity of the signature, and uni-/multi-variate Cox regression analysis revealed that the PRUSPs score is an independent prognostic factor. In different KIRC clinical subgroups and external validation cohorts (including E-MTAB-1980 and TCGA-KIRP cohorts), the PRUSPs risk signature showed strong robustness and practicability. Further analysis found that high-risk group showed activation of immune-related pathways and high PD-1/CTLA4 expression, revealing that high-risk patients might be sensitive to immunotherapy. In summary, we constructed the USPs risk signature to predict kidney cancer prognosis, which provided the theoretical foundation for further clinical or pre-clinical experiments.
Related Links	https://bmcnephrol.biomedcentral.com/counter/pdf/10.1186/s12882-023-03215-0.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
ISSN	14712369
DOI	10.1186/s12882-023-03215-0
Journal	BMC Nephrology
Issue Number	1
Volume Number	24
Language	English
Publisher	BioMed Central
Publisher Date	2023-05-31
Access Restriction	Open
Subject Keyword	Nephrology Internal Medicine USPs Kidney cancer Prognostic prediction Targeted therapy
Content Type	Text
Resource Type	Article
Subject	Nephrology
Journal Impact Factor	2.2/2023
5-Year Journal Impact Factor	2.6/2023

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