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Konstantinou A, Varga JK, Córdova-Pérez A, Simonetti L, Gomez-Lucas L, Schueler-Furman O, Davey NE, Kulathu Y, Ivarsson Y. Elucidation of short linear motif-based interactions of the MIT and rhodanese domains of the ubiquitin-specific protease 8. Biol Direct 2025; 20:59. [PMID: 40329301 PMCID: PMC12057046 DOI: 10.1186/s13062-025-00638-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2025] [Accepted: 03/18/2025] [Indexed: 05/08/2025] Open
Abstract
Ubiquitin-specific protease 8 (USP8) is a deubiquitinating enzyme with essential functions in protein trafficking and stability. It is a multidomain protein, with an N-terminal MIT (microtubule interacting and trafficking) domain, followed by a non-catalytic rhodanese (Rhod) domain, a long intrinsically disordered region, and a C-terminal catalytic domain. The N-terminal MIT domain of USP8 is known to mediate protein-protein interactions through binding to short linear motifs. The non-catalytic Rhod domain is also involved in protein-protein interactions, however detailed insights into these interactions remain limited. In this study we explore the short linear motif-based interactions of the MIT and Rhod domains of USP8 using a combination of proteomic peptide-phage display, peptide arrays and deep mutational scanning. We show that the MIT domain can bind ligands with a general [DE][LIF]x{2,3}R[FYIL]xxL[LV] consensus motif. We uncover that the rhodanese domain of USP8 is a peptide-binding domain, and define two distinct binding motifs (Rx[LI]xGxxxPxxL and G[LV][DE][IM]WExKxxxLxE) for this domain by deep mutational scanning of two different peptide ligands. Using the motif information, we predict binding sites within known USP8 interactors and substrates and validate interactions through peptide array analysis. Our findings demonstrate that both the USP8 MIT and rhodanese domains are peptide-binding domains that can be bound by degenerate and distinct binding motifs. The detailed information on the peptide binding preference of the two N-terminal domains of USP8 provide novel insights into the molecular recognition events that underlie the function of this essential deubiquitinating enzyme.
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Affiliation(s)
| | - Julia K Varga
- Department of Microbiology and Molecular Genetics, Institute for Biomedical Research IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Alicia Córdova-Pérez
- MRC Protein Phosphorylation & Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, UK
| | - Leandro Simonetti
- Department of Chemistry-BMC, Uppsala University, Box 576, Uppsala, 751 23, Sweden
| | - Lidia Gomez-Lucas
- Department of Chemistry-BMC, Uppsala University, Box 576, Uppsala, 751 23, Sweden
| | - Ora Schueler-Furman
- Department of Microbiology and Molecular Genetics, Institute for Biomedical Research IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Norman E Davey
- Division of Cancer Biology, The Institute of Cancer Research (ICR), London, UK
| | - Yogesh Kulathu
- MRC Protein Phosphorylation & Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, UK
| | - Ylva Ivarsson
- Department of Chemistry-BMC, Uppsala University, Box 576, Uppsala, 751 23, Sweden.
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2
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Wootton LM, Morgan EL. Ubiquitin and ubiquitin-like proteins in HPV-driven carcinogenesis. Oncogene 2025; 44:713-723. [PMID: 40011575 PMCID: PMC11888991 DOI: 10.1038/s41388-025-03310-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Revised: 01/20/2025] [Accepted: 02/12/2025] [Indexed: 02/28/2025]
Abstract
Persistent infection with high-risk (HR) human papillomaviruses (HPVs) is responsible for approximately 5% of cancer cases worldwide, including a growing number of oropharyngeal and anogenital cancers. The major HPV oncoproteins, E6 and E7, act together to manipulate cellular pathways involved in the regulation of proliferation, the cell cycle and cell survival, ultimately driving malignant transformation. Protein ubiquitination and the ubiquitin proteasome system (UPS) is often deregulated upon viral infection and in oncogenesis. HPV E6 and E7 interact with and disrupt multiple components of the ubiquitination machinery to promote viral persistence, which can also result in cellular transformation and the formation of tumours. This review highlights the ways in which HPV manipulates protein ubiquitination and the ubiquitin-like protein pathways and how this contributes to tumour development. Furthermore, we discuss how understanding the interactions between HPV and the protein ubiquitination could lead to novel therapeutic targets that are of urgent need in HPV+ carcinomas.
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Affiliation(s)
| | - Ethan L Morgan
- School of Life Sciences, University of Sussex, Brighton, UK.
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3
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Samuel VP, Moglad E, Afzal M, Kazmi I, Alzarea SI, Ali H, Almujri SS, Abida, Imran M, Gupta G, Chinni SV, Tiwari A. Exploring Ubiquitin-specific proteases as therapeutic targets in Glioblastoma. Pathol Res Pract 2024; 260:155443. [PMID: 38981348 DOI: 10.1016/j.prp.2024.155443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 06/24/2024] [Accepted: 06/28/2024] [Indexed: 07/11/2024]
Abstract
Glioblastoma (GB) remains a formidable challenge and requires new treatment strategies. The vital part of the Ubiquitin-proteasome system (UPS) in cellular regulation has positioned it as a potentially crucial target in GB treatment, given its dysregulation oncolines. The Ubiquitin-specific proteases (USPs) in the UPS system were considered due to the garden role in the cellular processes associated with oncolines and their vital function in the apoptotic process, cell cycle regulation, and autophagy. The article provides a comprehensive summary of the evidence base for targeting USPs as potential factors for neoplasm treatment. The review considers the participation of the UPS system in the development, resulting in the importance of p53, Rb, and NF-κB, and evaluates specific goals for therapeutic administration using midnight proteasomal inhibitors and small molecule antagonists of E1 and E2 enzymes. Despite the slowed rate of drug creation, recent therapeutic discoveries based on USP system dynamics hold promise for specialized therapies. The review concludes with an analysis of future wanderers and the feasible effects of targeting USPs on personalized GB therapies, which can improve patient hydration in this current and unattractive therapeutic landscape. The manuscript emphasizes the possibility of USP oncogene therapy as a promising alternative treatment line for GB. It stresses the direct creation of research on the medical effectiveness of the approach.
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Affiliation(s)
- Vijaya Paul Samuel
- Department of Anatomy, RAK College of Medicine, RAK Medical and Health Sciences University, Ras Al Khaimah, the United Arab Emirates
| | - Ehssan Moglad
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia
| | - Muhammad Afzal
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia
| | - Imran Kazmi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Sami I Alzarea
- Department of Pharmacology, College of Pharmacy, Jouf University, Sakaka 72341, Al-Jouf, Saudi Arabia
| | - Haider Ali
- Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India; Department of Pharmacology, Kyrgyz State Medical College, Bishkek, Kyrgyzstan
| | - Salem Salman Almujri
- Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, Aseer 61421, Saudi Arabia
| | - Abida
- Department of Pharmaceutical Chemistry, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Mohd Imran
- Department of Pharmaceutical Chemistry, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Gaurav Gupta
- Centre for Research Impact & Outcome-Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Suresh V Chinni
- Department of Biochemistry, Faculty of Medicine, Bioscience, and Nursing, MAHSA University, Jenjarom, Selangor 42610, Malaysia
| | - Abhishek Tiwari
- Department of Pharmacy, Pharmacy Academy, IFTM University, Lodhipur-Rajpur, Moradabad 244102, India.
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4
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Li Z, Wan J, Li S, Tang Y, Lin YCD, Ni J, Cai X, Yu J, Huang HD, Lee TY. Multi-Omics Characterization of E3 Regulatory Patterns in Different Cancer Types. Int J Mol Sci 2024; 25:7639. [PMID: 39062881 PMCID: PMC11276688 DOI: 10.3390/ijms25147639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
Ubiquitination, a post-translational modification, refers to the covalent attachment of ubiquitin molecules to substrates. This modification plays a critical role in diverse cellular processes such as protein degradation. The specificity of ubiquitination for substrates is regulated by E3 ubiquitin ligases. Dysregulation of ubiquitination has been associated with numerous diseases, including cancers. In our study, we first investigated the protein expression patterns of E3 ligases across 12 cancer types. Our findings indicated that E3 ligases tend to be up-regulated and exhibit reduced tissue specificity in tumors. Moreover, the correlation of protein expression between E3 ligases and substrates demonstrated significant changes in cancers, suggesting that E3-substrate specificity alters in tumors compared to normal tissues. By integrating transcriptome, proteome, and ubiquitylome data, we further characterized the E3-substrate regulatory patterns in lung squamous cell carcinoma. Our analysis revealed that the upregulation of the SKP2 E3 ligase leads to excessive degradation of BRCA2, potentially promoting tumor cell proliferation and metastasis. Furthermore, the upregulation of E3 ubiquitin-protein ligase TRIM33 was identified as a biomarker associated with a favorable prognosis by inhibiting the cell cycle. This work exemplifies how leveraging multi-omics data to analyze E3 ligases across various cancers can unveil prognosis biomarkers and facilitate the identification of potential drug targets for cancer therapy.
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Affiliation(s)
- Zhongyan Li
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Jingting Wan
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Shangfu Li
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Yun Tang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, No. 75, Boai Street, Hsinchu 300, Taiwan
| | - Yang-Chi-Dung Lin
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Jie Ni
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Xiaoxuan Cai
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Jinhan Yu
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Hsien-Da Huang
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China; (Z.L.); (J.W.)
| | - Tzong-Yi Lee
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, No. 75, Boai Street, Hsinchu 300, Taiwan
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5
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Liu Y, Li D, Zhang X, Xia S, Qu Y, Ling X, Li Y, Kong X, Zhang L, Cui CP, Li D. A protein sequence-based deep transfer learning framework for identifying human proteome-wide deubiquitinase-substrate interactions. Nat Commun 2024; 15:4519. [PMID: 38806474 PMCID: PMC11133436 DOI: 10.1038/s41467-024-48446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 04/26/2024] [Indexed: 05/30/2024] Open
Abstract
Protein ubiquitination regulates a wide range of cellular processes. The degree of protein ubiquitination is determined by the delicate balance between ubiquitin ligase (E3)-mediated ubiquitination and deubiquitinase (DUB)-mediated deubiquitination. In comparison to the E3-substrate interactions, the DUB-substrate interactions (DSIs) remain insufficiently investigated. To address this challenge, we introduce a protein sequence-based ab initio method, TransDSI, which transfers proteome-scale evolutionary information to predict unknown DSIs despite inadequate training datasets. An explainable module is integrated to suggest the critical protein regions for DSIs while predicting DSIs. TransDSI outperforms multiple machine learning strategies against both cross-validation and independent test. Two predicted DUBs (USP11 and USP20) for FOXP3 are validated by "wet lab" experiments, along with two predicted substrates (AR and p53) for USP22. TransDSI provides new functional perspective on proteins by identifying regulatory DSIs, and offers clues for potential tumor drug target discovery and precision drug application.
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Affiliation(s)
- Yuan Liu
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Dianke Li
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Xin Zhang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Simin Xia
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, China
| | - Yingjie Qu
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Xinping Ling
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
- College of Life Sciences, Hebei University, Baoding, 071002, China
| | - Yang Li
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Xiangren Kong
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Lingqiang Zhang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Chun-Ping Cui
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Dong Li
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
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6
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Song X, Xia B, Gao X, Liu X, Lv H, Wang S, Xiao Q, Luo H. Related cellular signaling and consequent pathophysiological outcomes of ubiquitin specific protease 24. Life Sci 2024; 342:122512. [PMID: 38395384 DOI: 10.1016/j.lfs.2024.122512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/17/2024] [Accepted: 02/18/2024] [Indexed: 02/25/2024]
Abstract
Ubiquitin-specific protease 24 (USP24) is an essential member of the deubiquitinating protease family found in eukaryotes. It engages in interactions with multiple proteins, including p53, MCL-1, E2F4, and FTH1, among others. Through these interactions, USP24 plays a critical role in regulating vital cellular processes such as cell cycle control, DNA damage response, cellular iron autophagy, and apoptosis. Increased levels of USP24 have been observed in various cancer types, including bladder cancer, lung cancer, myeloma, hepatocellular carcinoma, and gastric cancer. However, in certain tumors like kidney cancer, USP24 is significantly downregulated, and the specific mechanism behind this remains unclear. Currently, there are no officially approved USP24 inhibitors available for clinical use. Some existing inhibitors targeting USP24 have shown promising effects in treating malignancies; however, their precise mode of action and information regarding binding sites are not well understood. Moreover, further optimization is required to enhance the selectivity and efficacy of these inhibitors. This review aims to provide a comprehensive overview of recent advancements in understanding the cellular functions of USP24, its association with various diseases, and the development of small-molecule inhibitors that target this protein. In conclusion, USP24 represents a promising therapeutic target for various diseases, and ongoing research will contribute to validating its role and facilitating the development of effective treatments.
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Affiliation(s)
- Xiaoyang Song
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Boyu Xia
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Xinrong Gao
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Xinying Liu
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Hongyuan Lv
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Shiwei Wang
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Qinpei Xiao
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China
| | - Hao Luo
- School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
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7
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Wang S, Wang T, Zhang X, Cheng S, Chen C, Yang G, Wang F, Wang R, Zhang Q, Yang D, Zhang Y, Liu S, Qin H, Liu Q, Liu H. The deubiquitylating enzyme USP35 restricts regulated cell death to promote survival of renal clear cell carcinoma. Cell Death Differ 2023; 30:1757-1770. [PMID: 37173391 PMCID: PMC10307860 DOI: 10.1038/s41418-023-01176-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/26/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023] Open
Abstract
The ubiquitin-proteasome system governs a wide spectrum of cellular events and offers therapeutic opportunities for pharmacological intervention in cancer treatment. Renal clear cell carcinoma represents the predominant histological subtype and accounts for the majority of cancer death related to kidney malignancies. Through a systematic survey in the association of human ubiquitin-specific proteases with patient prognosis of renal clear cell carcinoma and subsequent phenotypic validation, we uncovered the tumor-promoting role of USP35. Biochemical characterizations confirmed the stabilizing effects of USP35 towards multiple members of the IAP family in an enzymatic activity-dependent manner. USP35 silencing led to reduced expression levels of IAP proteins, which were accompanied with increased cellular apoptosis. Further transcriptomic analysis revealed that USP35 knockdown affected the expression levels of NRF2 downstream transcripts, which were conferred by compromised NRF2 abundance. USP35 functions to maintain NRF2 levels by catalyzing its deubiquitylation and thus antagonizing degradation. NRF2 reduction imposed by USP35 silencing rendered renal clear cell carcinoma cells increased sensitivity to ferroptosis induction. Finally, induced USP35 knockdown markedly attenuated xenograft formation of renal clear cell carcinoma in nude mice. Hence, our findings reveal a number of USP35 substrates and uncover the protecting roles of USP35 against both apoptosis and ferroptosis in renal clear cell carcinoma.
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Affiliation(s)
- Shanshan Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Taishu Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
- National Institute of Biological Sciences, Beijing, China
| | - Xuehong Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Shaoxuan Cheng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Chaoqun Chen
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Guoheng Yang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Fuqiang Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Ruilin Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Qingqing Zhang
- Department of Pathology, Dalian Medical University, Dalian, China
| | - Dian Yang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yingqiu Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Shuyan Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Quentin Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Han Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
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8
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Wang R, Liu Y, Li J, Zhao Y, An R, Ma Z. A risk signature of ubiquitin-specific protease family predict the prognosis and therapy of kidney cancer patients. BMC Nephrol 2023; 24:153. [PMID: 37259026 DOI: 10.1186/s12882-023-03215-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/23/2023] [Indexed: 06/02/2023] Open
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.
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Affiliation(s)
- Renjie Wang
- Department of Urology, Sixth Hospital of Shanxi Medical University, General Hospital of Tisco, Taiyuan, China
| | - Yang Liu
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jingxian Li
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yubao Zhao
- Department of Urology, Sixth Hospital of Shanxi Medical University, General Hospital of Tisco, Taiyuan, China
| | - Rui An
- Department of Urology, Sixth Hospital of Shanxi Medical University, General Hospital of Tisco, Taiyuan, China
| | - Zhifang Ma
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, China.
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9
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Kitamura H. Ubiquitin-Specific Proteases (USPs) and Metabolic Disorders. Int J Mol Sci 2023; 24:3219. [PMID: 36834633 PMCID: PMC9966627 DOI: 10.3390/ijms24043219] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Ubiquitination and deubiquitination are reversible processes that modify the characteristics of target proteins, including stability, intracellular localization, and enzymatic activity. Ubiquitin-specific proteases (USPs) constitute the largest deubiquitinating enzyme family. To date, accumulating evidence indicates that several USPs positively and negatively affect metabolic diseases. USP22 in pancreatic β-cells, USP2 in adipose tissue macrophages, USP9X, 20, and 33 in myocytes, USP4, 7, 10, and 18 in hepatocytes, and USP2 in hypothalamus improve hyperglycemia, whereas USP19 in adipocytes, USP21 in myocytes, and USP2, 14, and 20 in hepatocytes promote hyperglycemia. In contrast, USP1, 5, 9X, 14, 15, 22, 36, and 48 modulate the progression of diabetic nephropathy, neuropathy, and/or retinopathy. USP4, 10, and 18 in hepatocytes ameliorates non-alcoholic fatty liver disease (NAFLD), while hepatic USP2, 11, 14, 19, and 20 exacerbate it. The roles of USP7 and 22 in hepatic disorders are controversial. USP9X, 14, 17, and 20 in vascular cells are postulated to be determinants of atherosclerosis. Moreover, mutations in the Usp8 and Usp48 loci in pituitary tumors cause Cushing syndrome. This review summarizes the current knowledge about the modulatory roles of USPs in energy metabolic disorders.
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Affiliation(s)
- Hiroshi Kitamura
- Laboratory of Comparative Medicine, School of Veterinary Medicine, Rakuno Gakuen University, Ebetsu 069-8501, Japan
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10
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Ray S, Banerjee A. Exploring the Human USP Gene Family and Its Association with Cancer: An In Silico Study. LECTURE NOTES IN ELECTRICAL ENGINEERING 2023:685-694. [DOI: 10.1007/978-981-99-3656-4_70] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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11
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Ubiquitin specific peptidase 11 as a novel therapeutic target for cancer management. Cell Death Dis 2022; 8:292. [PMID: 35715413 PMCID: PMC9205893 DOI: 10.1038/s41420-022-01083-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 11/25/2022]
Abstract
Ubiquitination is a critical biological process in post-translational modification of proteins and involves multiple signaling pathways in protein metabolism, apoptosis, DNA damage, cell-cycle progression, and cancer development. Deubiquitinase, a specific enzyme that regulates the ubiquitination process, is also thought to be closely associated with the development and progression of various cancers. In this article, we systematically review the emerging role of the deubiquitinase ubiquitin-specific peptidase 11 (USP11) in many cancer-related pathways. The results show that USP11 promotes or inhibits the progression and chemoresistance of different cancers, including colorectal, breast, ovarian, and hepatocellular carcinomas, via deubiquitinating several critical proteins of cancer-related pathways. We initially summarize the role of USP11 in different cancers and further discuss the possibility of USP11 as a therapeutic strategy.
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12
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Ning Z, Guo X, Liu X, Lu C, Wang A, Wang X, Wang W, Chen H, Qin W, Liu X, Zhou L, Ma C, Du J, Lin Z, Luo H, Otkur W, Qi H, Chen D, Xia T, Liu J, Tan G, Xu G, Piao HL. USP22 regulates lipidome accumulation by stabilizing PPARγ in hepatocellular carcinoma. Nat Commun 2022; 13:2187. [PMID: 35449157 PMCID: PMC9023467 DOI: 10.1038/s41467-022-29846-9] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 03/30/2022] [Indexed: 12/13/2022] Open
Abstract
Elevated de novo lipogenesis is considered to be a crucial factor in hepatocellular carcinoma (HCC) development. Herein, we identify ubiquitin-specific protease 22 (USP22) as a key regulator for de novo fatty acid synthesis, which directly interacts with deubiquitinates and stabilizes peroxisome proliferator-activated receptor gamma (PPARγ) through K48-linked deubiquitination, and in turn, this stabilization increases acetyl-CoA carboxylase (ACC) and ATP citrate lyase (ACLY) expressions. In addition, we find that USP22 promotes de novo fatty acid synthesis and contributes to HCC tumorigenesis, however, this tumorigenicity is suppressed by inhibiting the expression of PPARγ, ACLY, or ACC in in vivo tumorigenesis experiments. In HCC, high expression of USP22 positively correlates with PPARγ, ACLY or ACC expression, and associates with a poor prognosis. Taken together, we identify a USP22-regulated lipogenesis mechanism that involves the PPARγ-ACLY/ACC axis in HCC tumorigenesis and provide a rationale for therapeutic targeting of lipogenesis via USP22 inhibition. Different deubiquitinases are associated to cancer development. Here, the authors show that PPARgamma is stabilized by USP22-mediated deubiquitination leading to lipid accumulation and promoting hepatocellular carcinoma.
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Affiliation(s)
- Zhen Ning
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Xin Guo
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China
| | - Xiaolong Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Chang Lu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China
| | - Aman Wang
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Wen Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Huan Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Wangshu Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Chi Ma
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Jian Du
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Zhikun Lin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Haifeng Luo
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Wuxiyar Otkur
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Huan Qi
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Di Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Tian Xia
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Jiwei Liu
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China.,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China
| | - Guang Tan
- The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116000, China. .,Liaoning Key Laboratory of Molecular Targeted Drugs in Hepatobiliary and Pancreatic Cancer, Dalian, 116000, China.
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
| | - Hai-Long Piao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,Department of Biochemistry & Molecular Biology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
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13
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Sun Q, Zhang J, Li X, Yang G, Cheng S, Guo D, Zhang Q, Sun F, Zhao F, Yang D, Wang S, Wang T, Liu S, Zou L, Zhang Y, Liu H. The ubiquitin-specific protease 8 antagonizes melatonin-induced endocytic degradation of MT1 receptor to promote lung adenocarcinoma growth. J Adv Res 2022; 41:1-12. [PMID: 36328739 PMCID: PMC9637587 DOI: 10.1016/j.jare.2022.01.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 01/24/2022] [Accepted: 01/27/2022] [Indexed: 12/24/2022] Open
Abstract
Melatonin can induce the downregulation of the MT1 receptor. MT1 receptor internalization incurred by melatonin follows the canonical endolysosomal pathway. The ubiquitin-specific protease 8 antagonizes the endocytic degradation of the MT1 receptor. The suppression of ubiquitin-specific protease 8 potentiates the cancer-inhibitory effects of melatonin in vitro. Combination of USP8 inhibition and melatonin treatment effectively deters tumor growth in xenograft mouse models.
Introduction The human genome encodes two melatonin receptors (MT1 and MT2) that relay melatonin signals to cellular interior. Accumulating evidence has linked melatonin to multiple health benefits, among which its anticancer effects have become well-established. However, the implications of its receptors in lung adenocarcinoma have so far remained incompletely understood. Objectives This study aims to investigate the response of the MT1 receptor to melatonin treatment and its dynamic regulation by ubiquitin-specific protease 8 (USP8) in lung adenocarcinoma. Methods The mRNA levels of MT1 and MT2 receptors were analyzed with sequencing data. The expression and localization of the MT1 receptor with melatonin treatment were investigated by immunoblotting, immunofluorescence and confocal microscopy assays. Endocytic deubiquitylases were screened to identify MT1 association. The effects of USP8 were assessed with shRNA-mediated knockdown and small molecule inhibitor. The combined efficacy of melatonin and USP8 suppression was also evaluated using xenograft animal models. Results Bioinformatic analysis revealed increased expression of the MT1 receptor in lung adenocarcinoma tissues. Melatonin treatment leads to the downregulation of the MT1 receptor in lung adenocarcinoma cells, which is attributed to receptor endocytosis and lysosomal degradation via the canonical endo-lysosomal route. USP8 negatively regulates the endocytic degradation of the MT1 receptor incurred by melatonin exposure and thus protects lung adenocarcinoma cell growth. USP8 suppression by knockdown or pharmacological inhibition effectively deters cancer cell proliferation and sensitizes lung adenocarcinoma cells to melatonin in vitro. Furthermore, USP8 silencing significantly potentiates the anticancer effects of melatonin in xenograft tumor models. Conclusion The MT1 receptor responds to melatonin treatment and is endocytosed for lysosomal degradation that is counteracted by USP8. The inhibition of USP8 demonstrates tumor-suppressive effects and thus can be exploited as potential therapeutic strategy either as monotherapy or combined therapy with melatonin.
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14
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Wang X, Li Y, He M, Kong X, Jiang P, Liu X, Diao L, Zhang X, Li H, Ling X, Xia S, Liu Z, Liu Y, Cui CP, Wang Y, Tang L, Zhang L, He F, Li D. UbiBrowser 2.0: a comprehensive resource for proteome-wide known and predicted ubiquitin ligase/deubiquitinase-substrate interactions in eukaryotic species. Nucleic Acids Res 2021; 50:D719-D728. [PMID: 34669962 PMCID: PMC8728189 DOI: 10.1093/nar/gkab962] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 09/30/2021] [Accepted: 10/04/2021] [Indexed: 02/07/2023] Open
Abstract
As an important post-translational modification, ubiquitination mediates ∼80% of protein degradation in eukaryotes. The degree of protein ubiquitination is tightly determined by the delicate balance between specific ubiquitin ligase (E3)-mediated ubiquitination and deubiquitinase-mediated deubiquitination. In 2017, we developed UbiBrowser 1.0, which is an integrated database for predicted human proteome-wide E3-substrate interactions. Here, to meet the urgent requirement of proteome-wide E3/deubiquitinase-substrate interactions (ESIs/DSIs) in multiple organisms, we updated UbiBrowser to version 2.0 (http://ubibrowser.ncpsb.org.cn). Using an improved protocol, we collected 4068/967 known ESIs/DSIs by manual curation, and we predicted about 2.2 million highly confident ESIs/DSIs in 39 organisms, with >210-fold increase in total data volume. In addition, we made several new features in the updated version: (i) it allows exploring proteins' upstream E3 ligases and deubiquitinases simultaneously; (ii) it has significantly increased species coverage; (iii) it presents a uniform confidence scoring system to rank predicted ESIs/DSIs. To facilitate the usage of UbiBrowser 2.0, we also redesigned the web interface for exploring these known and predicted ESIs/DSIs, and added functions of 'Browse', 'Download' and 'Application Programming Interface'. We believe that UbiBrowser 2.0, as a discovery tool, will contribute to the study of protein ubiquitination and the development of drug targets for complex diseases.
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Affiliation(s)
- Xun Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yang Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Mengqi He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiangren Kong
- College of Life Sciences, Hebei University, Baoding 071002, China
| | - Peng Jiang
- School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Xi Liu
- College of Life Sciences, Hebei University, Baoding 071002, China
| | - Lihong Diao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xinlei Zhang
- Beijing Geneworks Technology Co.,Ltd., Beijing 100101, China
| | - Honglei Li
- Beijing Geneworks Technology Co.,Ltd., Beijing 100101, China
| | - Xinping Ling
- College of Life Sciences, Hebei University, Baoding 071002, China
| | - Simin Xia
- School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Zhongyang Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.,College of Life Sciences, Hebei University, Baoding 071002, China
| | - Yuan Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Chun-Ping Cui
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Liujun Tang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lingqiang Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.,School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Dong Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.,College of Life Sciences, Hebei University, Baoding 071002, China.,School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
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15
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Jiang Y, Zhang J, Feng J, Lu Y, Fan Y, Cheng L, Liao X, Hu L, Yu S, Yin T. Adenocarcinoma transformed into squamous cell carcinoma in non-small cell lung cancer. J Genet Genomics 2021; 48:656-659. [PMID: 34366271 DOI: 10.1016/j.jgg.2021.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Yueqiang Jiang
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jun Zhang
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jin Feng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yaping Lu
- Sinopharm Genomics Technology Co., LTD, Block B3, No. 9, Changyang Road, West Taihu Lake Science and Technology Industrial Zone, Changzhou, Jiangsu 213000, China
| | - Yuan Fan
- Sinopharm Genomics Technology Co., LTD, Block B3, No. 9, Changyang Road, West Taihu Lake Science and Technology Industrial Zone, Changzhou, Jiangsu 213000, China
| | - Ling Cheng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Liao
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liya Hu
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shiying Yu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tiejun Yin
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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16
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Song K, Cai H, Zheng H, Yang J, Jin L, Xiao H, Zhang J, Zhao Z, Li X, Zhao W, Li X. Multilevel prioritization of gene regulators associated with consensus molecular subtypes of colorectal cancer. Brief Bioinform 2021; 22:6225088. [PMID: 33855351 DOI: 10.1093/bib/bbab077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 02/16/2021] [Accepted: 02/17/2021] [Indexed: 12/31/2022] Open
Abstract
Consensus molecular subtypes (CMSs) are emerging as critical factor for prognosis and treatment of colorectal cancer. Gene regulators, including chromatin regulator, RNA-binding protein and transcriptional factor, are critical modulators of cancer hallmark, yet little is known regarding the underlying functional mechanism in CMSs. Herein, we identified a core set of 235 functional gene regulators (FGRs) by integrating genome, epigenome, transcriptome and interactome of CMSs. FGRs exhibited significant multi-omics alterations and impacts on cell lines growth, as well as significantly enriched cancer driver genes and pathways. Moreover, common FGRs played different roles in the context of CMSs. In accordance with the immune characteristics of CMSs, we found that the anti-tumor immune pathways were mainly activated by FGRs (e.g. STAT1 and CREBBP) in CMS1, while inhibited by FGRs in CMS2-4. FGRs mediated aberrant expression of ligands, which bind to receptor on immune cells, and modulated tumor immune microenvironment of subtypes. Intriguingly, systematic exploration of datasets using genomic and transcriptome co-similarity reveals the coordinated manner in FGRs act in CMSs to orchestrate their pathways and patients' prognosis. Expression signatures of the FGRs revealed an optimized CMS classifier, which demonstrated 88% concordance with the gold-standard classifier, but avoiding the influence of sample composition. Overall, our integrative analysis identified FGRs to regulate core tumorigenic processes/pathways across CMSs.
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Affiliation(s)
- Kai Song
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Hao Cai
- Medical Big Data and Bioinformatics Research Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Hailong Zheng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Jing Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Liangliang Jin
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Huiting Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Jiashuai Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | - Zhangxiang Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
| | | | | | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China
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