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Wen J, Wen K, Tao M, Zhou Z, He X, Wang W, Huang Z, Lin Q, Li H, Liu H, Yan Y, Xiao Z. Integrated analysis reveals an immune evasion prognostic signature for predicting the overall survival in patients with hepatocellular carcinoma. Cancer Cell Int 2025; 25:101. [PMID: 40102844 PMCID: PMC11916977 DOI: 10.1186/s12935-025-03743-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Accepted: 03/10/2025] [Indexed: 03/20/2025] Open
Abstract
BACKGROUND The development of immunotherapy has enriched the treatment of hepatocellular carcinoma (HCC), but the efficacy is not as expected, which may be due to immune evasion. Immune evasion is related to the immune microenvironment of HCC, but there is little research on it. METHODS We employed unsupervised clustering analysis to categorize patients from TCGA based on 182 immune evasion-related genes (IEGs). We utilized single-sample gene set enrichment analysis (ssGSEA) and CIBERSORT to calculate differences in immune cell infiltration between clusters. The differences in immune cells and immune-related pathways were assessed using GSEA. We constructed an immune escape prognosis signature (IEPS) using univariate Cox and LASSO Cox algorithms and evaluated the predictive performance of IEPS with receiver operating characteristic (ROC) curves and survival curves. Additionally, we established a nomogram for clinical application based on IEPS. IHC validated the expression of Carbamoyl phosphate synthetase 2, Aspartate transcarbamylase, and Dihydroorotase (CAD) and Phosphatidylinositol Glycan Anchor Biosynthesis Class U (PIGU) in HCC. We transfected liver cancer cell lines with siRNA and overexpression plasmids, and confirmed the relationship between CAD, PIGU, and the potential downstream TGF-β1 in HCC using qRT-PCR and Western blot. Finally, we validated the tumor response of CAD overexpression using an animal model. RESULTS Unsupervised clustering analysis based on IEGs divided HCC patients from TCGA into two groups. There were significant differences in prognosis and immune characteristics between the two groups of patients. Scoring of TCGA patients using IEPS revealed that higher scores were associated with poorer overall survival (OS). Validation was performed using the ICGC database. TIME analysis indicated that patients in the high-IEPS group were in an immunosuppressive state, possibly due to a significant increase in Treg infiltration. Compared to normal liver cells, HCC cells expressed higher levels of CAD and PIGU. Cellular experimental results showed a positive correlation between CAD, PIGU and the potential downstream TGF-β1 expression. Animal experiments demonstrated that CAD significantly promoted tumor progression, with an increase in Treg infiltration. CONCLUSION IEPS has strong prognostic value for HCC patients, and CAD and PIGU provide perspectives on new biomarkers and therapeutic targets for HCC.
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Affiliation(s)
- Jiahua Wen
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Kai Wen
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Meng Tao
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhenyu Zhou
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xing He
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- Department of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Weidong Wang
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zian Huang
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qiaohong Lin
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huoming Li
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Haohan Liu
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Yongcong Yan
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Zhiyu Xiao
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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Pham BQ, Yi SA, Ordureau A, An H. mTORC1 regulates the pyrimidine salvage pathway by controlling UCK2 turnover via the CTLH-WDR26 E3 ligase. Cell Rep 2025; 44:115179. [PMID: 39808525 PMCID: PMC11840829 DOI: 10.1016/j.celrep.2024.115179] [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: 08/29/2024] [Revised: 11/20/2024] [Accepted: 12/18/2024] [Indexed: 01/16/2025] Open
Abstract
One critical aspect of cell proliferation is increased nucleotide synthesis, including pyrimidines. Pyrimidines are synthesized through de novo and salvage pathways. Prior studies established that the mammalian target of rapamycin complex 1 (mTORC1) promotes pyrimidine synthesis by activating the de novo pathway for cell proliferation. However, the involvement of mTORC1 in regulating the salvage pathway remains unclear. Here, we report that mTORC1 controls the half-life of uridine cytidine kinase 2 (UCK2), the rate-limiting enzyme in the salvage pathway. Specifically, UCK2 is degraded via the CTLH-WDR26 E3 complex during mTORC1 inhibition, which is prevented when mTORC1 is active. We also find that UCK1, an isoform of UCK2, affects the turnover of UCK2 by influencing its cellular localization. Importantly, altered UCK2 levels through the mTORC1-CTLH E3 pathway affect pyrimidine salvage and the efficacy of pyrimidine analog prodrugs. Therefore, mTORC1-CTLH E3-mediated degradation of UCK2 adds another layer of complexity to mTORC1's role in regulating pyrimidine metabolism.
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Affiliation(s)
- Brittany Q Pham
- Department of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - Sang Ah Yi
- Chemical Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alban Ordureau
- Cell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heeseon An
- Department of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA; Chemical Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Tri-Institutional PhD Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Del Caño-Ochoa F, Ramón-Maiques S. Deciphering CAD: Structure and function of a mega-enzymatic pyrimidine factory in health and disease. Protein Sci 2021; 30:1995-2008. [PMID: 34288185 PMCID: PMC8442968 DOI: 10.1002/pro.4158] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 11/17/2022]
Abstract
CAD is a 1.5 MDa particle formed by hexameric association of a 250 kDa protein divided into different enzymatic domains, each catalyzing one of the initial reactions for de novo biosynthesis of pyrimidine nucleotides: glutaminase‐dependent Carbamoyl phosphate synthetase, Aspartate transcarbamoylase, and Dihydroorotase. The pathway for de novo pyrimidine synthesis is essential for cell proliferation and is conserved in all living organisms, but the covalent linkage of the first enzymatic activities into a multienzymatic CAD particle is unique to animals. In other organisms, these enzymatic activities are encoded as monofunctional proteins for which there is abundant structural and biochemical information. However, the knowledge about CAD is scarce and fragmented. Understanding CAD requires not only to determine the three‐dimensional structures and define the catalytic and regulatory mechanisms of the different enzymatic domains, but also to comprehend how these domains entangle and work in a coordinated and regulated manner. This review summarizes significant progress over the past 10 years toward the characterization of CAD's architecture, function, regulatory mechanisms, and cellular compartmentalization, as well as the recent finding of a new and rare neurometabolic disorder caused by defects in CAD activities.
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Affiliation(s)
- Francisco Del Caño-Ochoa
- Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.,Group 739, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) - Instituto de Salud Carlos III, Valencia, Spain
| | - Santiago Ramón-Maiques
- Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.,Group 739, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) - Instituto de Salud Carlos III, Valencia, Spain
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Del Caño-Ochoa F, Ng BG, Abedalthagafi M, Almannai M, Cohn RD, Costain G, Elpeleg O, Houlden H, Karimiani EG, Liu P, Manzini MC, Maroofian R, Muriello M, Al-Otaibi A, Patel H, Shimon E, Sutton VR, Toosi MB, Wolfe LA, Rosenfeld JA, Freeze HH, Ramón-Maiques S. Cell-based analysis of CAD variants identifies individuals likely to benefit from uridine therapy. Genet Med 2020; 22:1598-1605. [PMID: 32461667 PMCID: PMC7521996 DOI: 10.1038/s41436-020-0833-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/22/2020] [Accepted: 04/30/2020] [Indexed: 12/27/2022] Open
Abstract
Purpose Pathogenic autosomal recessive variants in CAD, encoding the multienzymatic protein initiating pyrimidine de novo biosynthesis, cause a severe inborn metabolic disorder treatable with a dietary supplement of uridine. This condition is difficult to diagnose given the large size of CAD with over 1000 missense variants and the nonspecific clinical presentation. We aimed to develop a reliable and discerning assay to assess the pathogenicity of CAD variants and to select affected individuals that might benefit from uridine therapy. Methods Using CRISPR/Cas9, we generated a human CAD-knockout cell line that requires uridine supplements for survival. Transient transfection of the knockout cells with recombinant CAD restores growth in absence of uridine. This system determines missense variants that inactivate CAD and do not rescue the growth phenotype. Results We identified 25 individuals with biallelic variants in CAD and a phenotype consistent with a CAD deficit. We used the CAD-knockout complementation assay to test a total of 34 variants, identifying 16 as deleterious for CAD activity. Combination of these pathogenic variants confirmed 11 subjects with a CAD deficit, for whom we describe the clinical phenotype. Conclusions We designed a cell-based assay to test the pathogenicity of CAD variants, identifying 11 CAD-deficient individuals who could benefit from uridine therapy.
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Affiliation(s)
- Francisco Del Caño-Ochoa
- Genome Dynamics and Function Program, Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain.,Group 739, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)-Instituto de Salud Carlos III, Valencia, Spain.,Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain
| | - Bobby G Ng
- Human Genetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Malak Abedalthagafi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Mohammed Almannai
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ronald D Cohn
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada.,Division of Paediatric Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Paediatrics, University of Toronto, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Gregory Costain
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada.,Centre for Genetic Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Orly Elpeleg
- Department of Genetics, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Henry Houlden
- Department of Neuromuscular disorders, UCL Institute of Neurology University College, London, UK
| | - Ehsan Ghayoor Karimiani
- Molecular and Clinical Sciences Institute, St. George's, University of London, Cranmer Terrace, London, UK
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Baylor Genetics Laboratories, Houston, TX, USA
| | - M Chiara Manzini
- Department of Neuroscience and Cell Biology and Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Reza Maroofian
- Department of Neuromuscular disorders, UCL Institute of Neurology University College, London, UK
| | - Michael Muriello
- Department of Pediatrics/Division of Genetics, Medical College of Wisconsin, Milwaukee, WI, USA.,Genomic Science and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ali Al-Otaibi
- Department of Pediatric Neurology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Hema Patel
- Department of Neurology (Section of pediatric neurology) Children's Hospital of Wisconsin, Medical of College of Wisconsin, Milwaukee, WI, USA
| | - Edvardson Shimon
- Pediatric Neurology Unit, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - V Reid Sutton
- Department of Molecular, Human Genetics Baylor College of Medicine & Texas Children's Hospital, Houston, TX, USA
| | - Mehran Beiraghi Toosi
- Department of Pediatric Diseases, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Lynne A Wolfe
- Undiagnosed Diseases Program, Common Fund, National Institutes of Health, Bethesda, MD, USA
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Baylor Genetics Laboratories, Houston, TX, USA
| | - Hudson H Freeze
- Human Genetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
| | - Santiago Ramón-Maiques
- Genome Dynamics and Function Program, Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain. .,Group 739, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)-Instituto de Salud Carlos III, Valencia, Spain. .,Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.
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Danchin A, Marlière P. Cytosine drives evolution of SARS-CoV-2. Environ Microbiol 2020; 22:1977-1985. [PMID: 32291894 PMCID: PMC7262064 DOI: 10.1111/1462-2920.15025] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 04/13/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Antoine Danchin
- Kodikos Labs, 24 rue Jean Baldassini, 69007 Lyon/Institut Cochin, 75013 Paris, France
| | - Philippe Marlière
- TESSSI, The European Syndicate of Synthetic Scientists and Industrialists, 81 rue Réaumur, 75002, Paris, France
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