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Sun Y, Vermulst M. The hidden costs of imperfection: transcription errors in protein aggregation diseases. Curr Opin Genet Dev 2025; 93:102350. [PMID: 40300213 DOI: 10.1016/j.gde.2025.102350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Revised: 03/26/2025] [Accepted: 04/06/2025] [Indexed: 05/01/2025]
Abstract
At first glance, biological systems appear to operate with remarkable precision and order. Yet, closer examination reveals that this perfection is an illusion, biological processes are inherently prone to errors. Here, we describe recent evidence that indicates that errors that occur during transcription play an important role in neurological diseases. These errors, though transient, can have lasting consequences when they generate mutant proteins with amyloid or prion-like properties. Such proteins can seed aggregation cascades, converting wild-type counterparts into misfolded conformations, ultimately leading to toxic deposits seen in diseases like Alzheimer's and amyotrophic lateral sclerosis. These observations help to paint a fuller picture of the origins of neurodegenerative diseases in aging humans and suggest a unified mechanism by which they may arise.
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Affiliation(s)
- Yingwo Sun
- University of Southern California, School of Gerontology, Los Angeles 90089, United States
| | - Marc Vermulst
- University of Southern California, School of Gerontology, Los Angeles 90089, United States.
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2
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Sawant A, Shi F, Cararo Lopes E, Hu Z, Abdelfattah S, Baul J, Powers JR, Hinrichs CS, Rabinowitz JD, Chan CS, Lattime EC, Ganesan S, White EP. Immune Checkpoint Blockade Delays Cancer Development and Extends Survival in DNA Polymerase Mutator Syndromes. Cancer Res 2025; 85:1130-1144. [PMID: 39786467 PMCID: PMC11907192 DOI: 10.1158/0008-5472.can-24-2589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 10/01/2024] [Accepted: 12/23/2024] [Indexed: 01/12/2025]
Abstract
Mutations in the exonuclease domains of the replicative nuclear DNA polymerases POLD1 and POLE are associated with increased cancer incidence, elevated tumor mutation burden (TMB), and enhanced response to immune checkpoint blockade (ICB). Although ICB is approved for treatment of several cancers, not all tumors with elevated TMB respond, highlighting the need for a better understanding of how TMB affects tumor biology and subsequently immunotherapy response. To address this, we generated mice with germline and conditional mutations in the exonuclease domains of Pold1 and Pole. Engineered mice with Pold1 and Pole mutator alleles presented with spontaneous cancers, primarily lymphomas, lung cancer, and intestinal tumors, whereas Pold1 mutant mice also developed tail skin carcinomas. These cancers had highly variable tissue type-dependent increased TMB with mutational signatures associated with POLD1 and POLE mutations found in human cancers. The Pold1 mutant tail tumors displayed increased TMB; however, only a subset of established tumors responded to ICB. Similarly, introducing the mutator alleles into mice with lung cancer driven by mutant Kras and Trp53 deletion did not improve survival, whereas passaging these tumor cells in vitro without immune editing and subsequently implanting them into immunocompetent mice caused tumor rejection in vivo. These results demonstrated the efficiency by which cells with antigenic mutations are eliminated in vivo. Finally, ICB treatment of mutator mice earlier, before observable tumors had developed delayed cancer onset, improved survival and selected for tumors without aneuploidy, suggesting the potential of ICB in high-risk individuals for cancer prevention. Significance: Treating high-mutation burden mice with immunotherapy prior to cancer onset significantly improves survival, raising the possibility of utilizing immune checkpoint blockade for cancer prevention, especially in individuals with increased risk.
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Affiliation(s)
- Akshada Sawant
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton University, Princeton, New Jersey
| | - Fuqian Shi
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
| | | | - Zhixian Hu
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton University, Princeton, New Jersey
| | - Somer Abdelfattah
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
| | - Jennele Baul
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
| | - Jesse R. Powers
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton University, Princeton, New Jersey
| | | | - Joshua D. Rabinowitz
- Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton University, Princeton, New Jersey
| | - Chang S. Chan
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Edmund C. Lattime
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Shridar Ganesan
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Eileen P. White
- Rutgers Cancer Institute, Rutgers University, New Brunswick, New Jersey
- Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton University, Princeton, New Jersey
- Department of Molecular Biology and Biochemistry, Piscataway, New Jersey
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3
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Bainbridge LJ, Daigaku Y. Adaptive use of error-prone DNA polymerases provides flexibility in genome replication during tumorigenesis. Cancer Sci 2024; 115:2125-2137. [PMID: 38651239 PMCID: PMC11247608 DOI: 10.1111/cas.16188] [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: 01/11/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
Human cells possess many different polymerase enzymes, which collaborate in conducting DNA replication and genome maintenance to ensure faithful duplication of genetic material. Each polymerase performs a specialized role, together providing a balance of accuracy and flexibility to the replication process. Perturbed replication increases the requirement for flexibility to ensure duplication of the entire genome. Flexibility is provided via the use of error-prone polymerases, which maintain the progression of challenged DNA replication at the expense of mutagenesis, an enabling characteristic of cancer. This review describes our recent understanding of mechanisms that alter the usage of polymerases during tumorigenesis and examines the implications of this for cell survival and tumor progression. Although expression levels of polymerases are often misregulated in cancers, this does not necessarily alter polymerase usage since an additional regulatory step may govern the use of these enzymes. We therefore also examine how the regulatory mechanisms of DNA polymerases, such as Rad18-mediated PCNA ubiquitylation, may impact the functionalization of error-prone polymerases to tolerate oncogene-induced replication stress. Crucially, it is becoming increasingly evident that cancer cells utilize error-prone polymerases to sustain ongoing replication in response to oncogenic mutations which inactivate key DNA replication and repair pathways, such as BRCA deficiency. This accelerates mutagenesis and confers chemoresistance, but also presents a dependency that can potentially be exploited by therapeutics.
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Affiliation(s)
- Lewis J. Bainbridge
- Cancer Genome Dynamics Project, Cancer InstituteJapanese Foundation for Cancer ResearchTokyoJapan
| | - Yasukazu Daigaku
- Cancer Genome Dynamics Project, Cancer InstituteJapanese Foundation for Cancer ResearchTokyoJapan
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4
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Sawant A, Shi F, Lopes EC, Hu Z, Abdelfattah S, Baul J, Powers J, Hinrichs CS, Rabinowitz JD, Chan CS, Lattime EC, Ganesan S, White E. Immune Checkpoint Blockade Delays Cancer and Extends Survival in Murine DNA Polymerase Mutator Syndromes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.597960. [PMID: 38915517 PMCID: PMC11195045 DOI: 10.1101/2024.06.10.597960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Mutations in polymerases Pold1 and Pole exonuclease domains in humans are associated with increased cancer incidence, elevated tumor mutation burden (TMB) and response to immune checkpoint blockade (ICB). Although ICB is approved for treatment of several cancers, not all tumors with elevated TMB respond. Here we generated Pold1 and Pole proofreading mutator mice and show that ICB treatment of mice with high TMB tumors did not improve survival as only a subset of tumors responded. Similarly, introducing the mutator alleles into mice with Kras/p53 lung cancer did not improve survival, however, passaging mutator tumor cells in vitro without immune editing caused rejection in immune-competent hosts, demonstrating the efficiency by which cells with antigenic mutations are eliminated. Finally, ICB treatment of mutator mice earlier, before observable tumors delayed cancer onset, improved survival, and selected for tumors without aneuploidy, suggesting the use of ICB in individuals at high risk for cancer prevention. Highlights Germline somatic and conditional Pold1 and Pole exonuclease domain mutations in mice produce a mutator phenotype. Spontaneous cancers arise in mutator mice that have genomic features comparable to human tumors with these mutations.ICB treatment of mutator mice with tumors did not improve survival as only a subset of tumors respond. Introduction of the mutator alleles into an autochthonous mouse lung cancer model also did not produce immunogenic tumors, whereas passaging mutator tumor cells in vitro caused immune rejection indicating efficient selection against antigenic mutations in vivo . Prophylactic ICB treatment delayed cancer onset, improved survival, and selected for tumors with no aneuploidy.
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5
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Gustav M, Reitsam NG, Carrero ZI, Loeffler CML, van Treeck M, Yuan T, West NP, Quirke P, Brinker TJ, Brenner H, Favre L, Märkl B, Stenzinger A, Brobeil A, Hoffmeister M, Calderaro J, Pujals A, Kather JN. Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology. NPJ Precis Oncol 2024; 8:115. [PMID: 38783059 PMCID: PMC11116442 DOI: 10.1038/s41698-024-00592-z] [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: 11/07/2023] [Accepted: 04/14/2024] [Indexed: 05/25/2024] Open
Abstract
In the spectrum of colorectal tumors, microsatellite-stable (MSS) tumors with DNA polymerase ε (POLE) mutations exhibit a hypermutated profile, holding the potential to respond to immunotherapy similarly to their microsatellite-instable (MSI) counterparts. Yet, due to their rarity and the associated testing costs, systematic screening for these mutations is not commonly pursued. Notably, the histopathological phenotype resulting from POLE mutations is theorized to resemble that of MSI. This resemblance not only could facilitate their detection by a transformer-based Deep Learning (DL) system trained on MSI pathology slides, but also indicates the possibility for MSS patients with POLE mutations to access enhanced treatment options, which might otherwise be overlooked. To harness this potential, we trained a Deep Learning classifier on a large dataset with the ground truth for microsatellite status and subsequently validated its capabilities for MSI and POLE detection across three external cohorts. Our model accurately identified MSI status in both the internal and external resection cohorts using pathology images alone. Notably, with a classification threshold of 0.5, over 75% of POLE driver mutant patients in the external resection cohorts were flagged as "positive" by a DL system trained on MSI status. In a clinical setting, deploying this DL model as a preliminary screening tool could facilitate the efficient identification of clinically relevant MSI and POLE mutations in colorectal tumors, in one go.
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Affiliation(s)
- Marco Gustav
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | | | - Zunamys I Carrero
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Chiara M L Loeffler
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Marko van Treeck
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Tanwei Yuan
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nicholas P West
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
| | - Philip Quirke
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
| | - Titus J Brinker
- Digital Biomarkers for Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Loëtitia Favre
- Université Paris Est Créteil, INSERM, IMRB, Créteil, France
- Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Department of Pathology, Créteil, France
- INSERM, U955, Team Oncogenèse des lymphomes et tumeurs de la Neurofibromatose 1, Créteil, France
| | - Bruno Märkl
- Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | | | - Alexander Brobeil
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
- Tissue Bank of the National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Julien Calderaro
- Université Paris Est Créteil, INSERM, IMRB, Créteil, France
- Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Department of Pathology, Créteil, France
- INSERM, U955, Team Oncogenèse des lymphomes et tumeurs de la Neurofibromatose 1, Créteil, France
| | - Anaïs Pujals
- Université Paris Est Créteil, INSERM, IMRB, Créteil, France
- Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Department of Pathology, Créteil, France
- INSERM, U955, Team Oncogenèse des lymphomes et tumeurs de la Neurofibromatose 1, Créteil, France
| | - Jakob Nikolas Kather
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
- Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
- Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.
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Tian C, Zhang Q, Jia J, Zhou J, Zhang Z, Karri S, Jiang J, Dickinson Q, Yao Y, Tang X, Huang Y, Guo T, He Z, Liu Z, Gao Y, Yang X, Wu Y, Chan KM, Zhang D, Han J, Yu C, Gan H. DNA polymerase delta governs parental histone transfer to DNA replication lagging strand. Proc Natl Acad Sci U S A 2024; 121:e2400610121. [PMID: 38713623 PMCID: PMC11098083 DOI: 10.1073/pnas.2400610121] [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: 01/17/2024] [Accepted: 04/01/2024] [Indexed: 05/09/2024] Open
Abstract
Chromatin replication is intricately intertwined with the recycling of parental histones to the newly duplicated DNA strands for faithful genetic and epigenetic inheritance. The transfer of parental histones occurs through two distinct pathways: leading strand deposition, mediated by the DNA polymerase ε subunits Dpb3/Dpb4, and lagging strand deposition, facilitated by the MCM helicase subunit Mcm2. However, the mechanism of the facilitation of Mcm2 transferring parental histones to the lagging strand while moving along the leading strand remains unclear. Here, we show that the deletion of Pol32, a nonessential subunit of major lagging-strand DNA polymerase δ, results in a predominant transfer of parental histone H3-H4 to the leading strand during replication. Biochemical analyses further demonstrate that Pol32 can bind histone H3-H4 both in vivo and in vitro. The interaction of Pol32 with parental histone H3-H4 is disrupted through the mutation of the histone H3-H4 binding domain within Mcm2. Our findings identify the DNA polymerase δ subunit Pol32 as a critical histone chaperone downstream of Mcm2, mediating the transfer of parental histones to the lagging strand during DNA replication.
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Affiliation(s)
- Congcong Tian
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Qin Zhang
- Department of Biotherapy, Cancer Center and State Laboratory of Biotherapy, and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan Province610041, China
| | - Jing Jia
- Hormel Institute, University of Minnesota, Austin, MN55912
| | - Jiaqi Zhou
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Ziwei Zhang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | | | - Jiuhang Jiang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong510642, China
| | | | - Yuan Yao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Xiaorong Tang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau, China
| | - Yuxin Huang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong510642, China
| | - Ting Guo
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
- School of Life Sciences, Henan University, Kaifeng475004, China
- Shenzhen Research Institute of Henan University, Shenzhen518000, China
| | - Ziwei He
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, Chinese University of Hong Kong, Shenzhen518172, China
| | - Zheng Liu
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, Chinese University of Hong Kong, Shenzhen518172, China
| | - Yuan Gao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
| | - Xinran Yang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Yuchun Wu
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
- Pathology and Pathophysiology Basic Medical School, Qingdao University, Qindao266000, China
| | - Kui Ming Chan
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administration Region, China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen518172, China
| | - Daoqin Zhang
- Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA94305
| | - Junhong Han
- Department of Biotherapy, Cancer Center and State Laboratory of Biotherapy, and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan Province610041, China
| | - Chuanhe Yu
- Hormel Institute, University of Minnesota, Austin, MN55912
| | - Haiyun Gan
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
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7
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Mur P, Viana-Errasti J, García-Mulero S, Magraner-Pardo L, Muñoz IG, Pons T, Capellá G, Pineda M, Feliubadaló L, Valle L. Recommendations for the classification of germline variants in the exonuclease domain of POLE and POLD1. Genome Med 2023; 15:85. [PMID: 37848928 PMCID: PMC10580551 DOI: 10.1186/s13073-023-01234-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Germline variants affecting the proofreading activity of polymerases epsilon and delta cause a hereditary cancer and adenomatous polyposis syndrome characterized by tumors with a high mutational burden and a specific mutational spectrum. In addition to the implementation of multiple pieces of evidence for the classification of gene variants, POLE and POLD1 variant classification is particularly challenging given that non-disruptive variants affecting the proofreading activity of the corresponding polymerase are the ones associated with cancer. In response to an evident need in the field, we have developed gene-specific variant classification recommendations, based on the ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology) criteria, for the assessment of non-disruptive variants located in the sequence coding for the exonuclease domain of the polymerases. METHODS A training set of 23 variants considered pathogenic or benign was used to define the usability and strength of the ACMG/AMP criteria. Population frequencies, computational predictions, co-segregation data, phenotypic and tumor data, and functional results, among other features, were considered. RESULTS Gene-specific variant classification recommendations for non-disruptive variants located in the exonuclease domain of POLE and POLD1 were defined. The resulting recommendations were applied to 128 exonuclease domain variants reported in the literature and/or public databases. A total of 17 variants were classified as pathogenic or likely pathogenic, and 17 as benign or likely benign. CONCLUSIONS Our recommendations, with room for improvement in the coming years as more information become available on carrier families, tumor molecular characteristics and functional assays, are intended to serve the clinical and scientific communities and help improve diagnostic performance, avoiding variant misclassifications.
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Affiliation(s)
- Pilar Mur
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
- Department of Health of Catalonia, Catalan Cancer Plan, Barcelona, Spain.
| | - Julen Viana-Errasti
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Sandra García-Mulero
- Department of Health of Catalonia, Catalan Cancer Plan, Barcelona, Spain
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain
| | - Lorena Magraner-Pardo
- The CRUK Gene Function Laboratory and The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research (ICR), London, UK
| | - Inés G Muñoz
- Protein Crystallography Unit, Structural Biology Program, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Tirso Pons
- Department of Immunology and Oncology, National Center for Biotechnology (CNB-CSIC), Spanish National Research Council, Madrid, Spain
| | - Gabriel Capellá
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Marta Pineda
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Laura Valle
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
- Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
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8
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Sobol RW. Editorial: DNA repair and nucleic acid therapeutics in cancer. NAR Cancer 2023; 5:zcad044. [PMID: 37645072 PMCID: PMC10461458 DOI: 10.1093/narcan/zcad044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 08/31/2023] Open
Affiliation(s)
- Robert W Sobol
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School & Legorreta Cancer Center, Brown University, Providence, RI 02912, USA
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