1
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Brown GW. The cytidine deaminase APOBEC3C has unique sequence and genome feature preferences. Genetics 2024; 227:iyae092. [PMID: 38946641 DOI: 10.1093/genetics/iyae092] [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: 05/22/2024] [Indexed: 07/02/2024] Open
Abstract
APOBEC proteins are cytidine deaminases that restrict the replication of viruses and transposable elements. Several members of the APOBEC3 family, APOBEC3A, APOBEC3B, and APOBEC3H-I, can access the nucleus and cause what is thought to be indiscriminate deamination of the genome, resulting in mutagenesis and genome instability. Although APOBEC3C is also present in the nucleus, the full scope of its deamination target preferences is unknown. By expressing human APOBEC3C in a yeast model system, I have defined the APOBEC3C mutation signature, as well as the preferred genome features of APOBEC3C targets. The APOBEC3C mutation signature is distinct from those of the known cancer genome mutators APOBEC3A and APOBEC3B. APOBEC3C produces DNA strand-coordinated mutation clusters, and APOBEC3C mutations are enriched near the transcription start sites of active genes. Surprisingly, APOBEC3C lacks the bias for the lagging strand of DNA replication that is seen for APOBEC3A and APOBEC3B. The unique preferences of APOBEC3C constitute a mutation profile that will be useful in defining sites of APOBEC3C mutagenesis in human genomes.
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Affiliation(s)
- Grant W Brown
- Department of Biochemistry, University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S 1A8
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON, Canada M5S 3E1
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2
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Dietzen M, Zhai H, Lucas O, Pich O, Barrington C, Lu WT, Ward S, Guo Y, Hynds RE, Zaccaria S, Swanton C, McGranahan N, Kanu N. Replication timing alterations are associated with mutation acquisition during breast and lung cancer evolution. Nat Commun 2024; 15:6039. [PMID: 39019871 PMCID: PMC11255325 DOI: 10.1038/s41467-024-50107-4] [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: 01/07/2024] [Accepted: 07/01/2024] [Indexed: 07/19/2024] Open
Abstract
During each cell cycle, the process of DNA replication timing is tightly regulated to ensure the accurate duplication of the genome. The extent and significance of alterations in this process during malignant transformation have not been extensively explored. Here, we assess the impact of altered replication timing (ART) on cancer evolution by analysing replication-timing sequencing of cancer and normal cell lines and 952 whole-genome sequenced lung and breast tumours. We find that 6%-18% of the cancer genome exhibits ART, with regions with a change from early to late replication displaying an increased mutation rate and distinct mutational signatures. Whereas regions changing from late to early replication contain genes with increased expression and present a preponderance of APOBEC3-mediated mutation clusters and associated driver mutations. We demonstrate that ART occurs relatively early during cancer evolution and that ART may have a stronger correlation with mutation acquisition than alterations in chromatin structure.
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Affiliation(s)
- Michelle Dietzen
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Haoran Zhai
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Olivia Lucas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Oriol Pich
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Christopher Barrington
- Bioinformatics and Biostatistics Science Technology Platform, The Francis Crick Institute, London, UK
| | - Wei-Ting Lu
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Yanping Guo
- CRUK Flow Cytometry Translational Technology Platform, UCL Cancer Institute, London, UK
| | - Robert E Hynds
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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3
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Németh E, Szüts D. The mutagenic consequences of defective DNA repair. DNA Repair (Amst) 2024; 139:103694. [PMID: 38788323 DOI: 10.1016/j.dnarep.2024.103694] [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: 03/22/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024]
Abstract
Multiple separate repair mechanisms safeguard the genome against various types of DNA damage, and their failure can increase the rate of spontaneous mutagenesis. The malfunction of distinct repair mechanisms leads to genomic instability through different mutagenic processes. For example, defective mismatch repair causes high base substitution rates and microsatellite instability, whereas homologous recombination deficiency is characteristically associated with deletions and chromosome instability. This review presents a comprehensive collection of all mutagenic phenotypes associated with the loss of each DNA repair mechanism, drawing on data from a variety of model organisms and mutagenesis assays, and placing greatest emphasis on systematic analyses of human cancer datasets. We describe the latest theories on the mechanism of each mutagenic process, often explained by reliance on an alternative repair pathway or the error-prone replication of unrepaired, damaged DNA. Aided by the concept of mutational signatures, the genomic phenotypes can be used in cancer diagnosis to identify defective DNA repair pathways.
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Affiliation(s)
- Eszter Németh
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - Dávid Szüts
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
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4
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Li Y, Zhu R, Jin J, Guo H, Zhang J, He Z, Liang T, Guo L. Exploring the Role of Clustered Mutations in Carcinogenesis and Their Potential Clinical Implications in Cancer. Int J Mol Sci 2024; 25:6744. [PMID: 38928450 PMCID: PMC11203652 DOI: 10.3390/ijms25126744] [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: 04/23/2024] [Revised: 06/07/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Abnormal cell proliferation and growth leading to cancer primarily result from cumulative genome mutations. Single gene mutations alone do not fully explain cancer onset and progression; instead, clustered mutations-simultaneous occurrences of multiple mutations-are considered to be pivotal in cancer development and advancement. These mutations can affect different genes and pathways, resulting in cells undergoing malignant transformation with multiple functional abnormalities. Clustered mutations influence cancer growth rates, metastatic potential, and drug treatment sensitivity. This summary highlights the various types and characteristics of clustered mutations to understand their associations with carcinogenesis and discusses their potential clinical significance in cancer. As a unique mutation type, clustered mutations may involve genomic instability, DNA repair mechanism defects, and environmental exposures, potentially correlating with responsiveness to immunotherapy. Understanding the characteristics and underlying processes of clustered mutations enhances our comprehension of carcinogenesis and cancer progression, providing new diagnostic and therapeutic approaches for cancer.
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Affiliation(s)
- Yi Li
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (Y.L.); (R.Z.); (H.G.); (J.Z.)
| | - Rui Zhu
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (Y.L.); (R.Z.); (H.G.); (J.Z.)
| | - Jiaming Jin
- State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (J.J.); (Z.H.)
| | - Haochuan Guo
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (Y.L.); (R.Z.); (H.G.); (J.Z.)
| | - Jiaxi Zhang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (Y.L.); (R.Z.); (H.G.); (J.Z.)
| | - Zhiheng He
- State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (J.J.); (Z.H.)
| | - Tingming Liang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (Y.L.); (R.Z.); (H.G.); (J.Z.)
| | - Li Guo
- State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (J.J.); (Z.H.)
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5
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Gupta A, Gazzo A, Selenica P, Safonov A, Pareja F, da Silva EM, Brown DN, Zhu Y, Patel J, Blanco-Heredia J, Stefanovska B, Carpenter MA, Pei X, Frosina D, Jungbluth AA, Ladanyi M, Curigliano G, Weigelt B, Riaz N, Powell SN, Razavi P, Harris RS, Reis-Filho JS, Marra A, Chandarlapaty S. APOBEC3 mutagenesis drives therapy resistance in breast cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.29.591453. [PMID: 38746158 PMCID: PMC11092499 DOI: 10.1101/2024.04.29.591453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Acquired genetic alterations commonly drive resistance to endocrine and targeted therapies in metastatic breast cancer 1-7 , however the underlying processes engendering these diverse alterations are largely uncharacterized. To identify the mutational processes operant in breast cancer and their impact on clinical outcomes, we utilized a well-annotated cohort of 3,880 patient samples with paired tumor-normal sequencing data. The mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) enzymes were highly prevalent and enriched in post-treatment compared to treatment-naïve hormone receptor-positive (HR+) cancers. APOBEC3 mutational signatures were independently associated with shorter progression-free survival on antiestrogen plus CDK4/6 inhibitor combination therapy in patients with HR+ metastatic breast cancer. Whole genome sequencing (WGS) of breast cancer models and selected paired primary-metastatic samples demonstrated that active APOBEC3 mutagenesis promoted resistance to both endocrine and targeted therapies through characteristic alterations such as RB1 loss-of-function mutations. Evidence of APOBEC3 activity in pre-treatment samples illustrated a pervasive role for this mutational process in breast cancer evolution. The study reveals APOBEC3 mutagenesis to be a frequent mediator of therapy resistance in breast cancer and highlights its potential as a biomarker and target for overcoming resistance.
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6
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Sanchez A, Ortega P, Sakhtemani R, Manjunath L, Oh S, Bournique E, Becker A, Kim K, Durfee C, Temiz NA, Chen XS, Harris RS, Lawrence MS, Buisson R. Mesoscale DNA features impact APOBEC3A and APOBEC3B deaminase activity and shape tumor mutational landscapes. Nat Commun 2024; 15:2370. [PMID: 38499542 PMCID: PMC10948877 DOI: 10.1038/s41467-024-45909-5] [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: 07/31/2023] [Accepted: 01/09/2024] [Indexed: 03/20/2024] Open
Abstract
Antiviral DNA cytosine deaminases APOBEC3A and APOBEC3B are major sources of mutations in cancer by catalyzing cytosine-to-uracil deamination. APOBEC3A preferentially targets single-stranded DNAs, with a noted affinity for DNA regions that adopt stem-loop secondary structures. However, the detailed substrate preferences of APOBEC3A and APOBEC3B have not been fully established, and the specific influence of the DNA sequence on APOBEC3A and APOBEC3B deaminase activity remains to be investigated. Here, we find that APOBEC3B also selectively targets DNA stem-loop structures, and they are distinct from those subjected to deamination by APOBEC3A. We develop Oligo-seq, an in vitro sequencing-based method to identify specific sequence contexts promoting APOBEC3A and APOBEC3B activity. Through this approach, we demonstrate that APOBEC3A and APOBEC3B deaminase activity is strongly regulated by specific sequences surrounding the targeted cytosine. Moreover, we identify the structural features of APOBEC3B and APOBEC3A responsible for their substrate preferences. Importantly, we determine that APOBEC3B-induced mutations in hairpin-forming sequences within tumor genomes differ from the DNA stem-loop sequences mutated by APOBEC3A. Together, our study provides evidence that APOBEC3A and APOBEC3B can generate distinct mutation landscapes in cancer genomes, driven by their unique substrate selectivity.
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Affiliation(s)
- Ambrocio Sanchez
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Pedro Ortega
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Ramin Sakhtemani
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Lavanya Manjunath
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Sunwoo Oh
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Elodie Bournique
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Alexandrea Becker
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA
| | - Kyumin Kim
- Molecular and Computational Biology, Departments of Biological Sciences and Chemistry, University of Southern California, Los Angeles, CA, USA
| | - Cameron Durfee
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Nuri Alpay Temiz
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Xiaojiang S Chen
- Molecular and Computational Biology, Departments of Biological Sciences and Chemistry, University of Southern California, Los Angeles, CA, USA
| | - Reuben S Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Michael S Lawrence
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rémi Buisson
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA.
- Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA.
- Department of Pharmaceutical Sciences, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA.
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7
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Salvadores M, Supek F. Cell cycle gene alterations associate with a redistribution of mutation risk across chromosomal domains in human cancers. NATURE CANCER 2024; 5:330-346. [PMID: 38200245 DOI: 10.1038/s43018-023-00707-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
Mutations in human cells exhibit increased burden in heterochromatic, late DNA replication time (RT) chromosomal domains, with variation in mutation rates between tissues mirroring variation in heterochromatin and RT. We observed that regional mutation risk further varies between individual tumors in a manner independent of cell type, identifying three signatures of domain-scale mutagenesis in >4,000 tumor genomes. The major signature reflects remodeling of heterochromatin and of the RT program domains seen across tumors, tissues and cultured cells, and is robustly linked with higher expression of cell proliferation genes. Regional mutagenesis is associated with loss of activity of the tumor-suppressor genes RB1 and TP53, consistent with their roles in cell cycle control, with distinct mutational patterns generated by the two genes. Loss of regional heterogeneity in mutagenesis is associated with deficiencies in various DNA repair pathways. These mutation risk redistribution processes modify the mutation supply towards important genes, diverting the course of somatic evolution.
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Affiliation(s)
- Marina Salvadores
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain.
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
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8
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Dananberg A, Striepen J, Rozowsky JS, Petljak M. APOBEC Mutagenesis in Cancer Development and Susceptibility. Cancers (Basel) 2024; 16:374. [PMID: 38254863 PMCID: PMC10814203 DOI: 10.3390/cancers16020374] [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: 12/20/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
APOBEC cytosine deaminases are prominent mutators in cancer, mediating mutations in over 50% of cancers. APOBEC mutagenesis has been linked to tumor heterogeneity, persistent cell evolution, and therapy responses. While emerging evidence supports the impact of APOBEC mutagenesis on cancer progression, the understanding of its contribution to cancer susceptibility and malignant transformation is limited. We examine the existing evidence for the role of APOBEC mutagenesis in carcinogenesis on the basis of the reported associations between germline polymorphisms in genes encoding APOBEC enzymes and cancer risk, insights into APOBEC activities from sequencing efforts of both malignant and non-malignant human tissues, and in vivo studies. We discuss key knowledge gaps and highlight possible ways to gain a deeper understanding of the contribution of APOBEC mutagenesis to cancer development.
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Affiliation(s)
- Alexandra Dananberg
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Josefine Striepen
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jacob S Rozowsky
- Medical Scientist Training Program, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mia Petljak
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY 10016, USA
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9
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Song S, Xie S, Liu X, Li S, Wang L, Jiang X, Lu D. miR-3200 accelerates the growth of liver cancer cells by enhancing Rab7A. Noncoding RNA Res 2023; 8:675-685. [PMID: 37860266 PMCID: PMC10582768 DOI: 10.1016/j.ncrna.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/07/2023] [Accepted: 10/07/2023] [Indexed: 10/21/2023] Open
Abstract
Researches indicate miR-3200 is closely related to tumorigenesis, However, the role of miR-3200 in human hepatocarcinogenesis is still unclear. In this study, we clearly demonstrate that miR-3200 accelerates the growth of liver cancer cells in vivo and in vitro. Obviously, these findings are noteworthy that miR-3200 affects the transcriptional regulation for several genes, including DSP,BABAM2, Rab7A,SQSTM1,PRKAG2,CDK1,ABCE1,BECN1,PTEN,UPRT. And miR-3200 affects the transcriptional ability of several genes, such as, upregulating CADPS, DSP,FBXO32, PPCA,SGK1, PATXN7L1, PLK2,ITGB5,FZD3,HOXC8,HSPA1A,C-Myc,CyclnD1,CyclinE,PCNA and down -regulating SUV39H1, MYO1G, OLFML3, CBX5, PPDE2A, HOXA7, RAD54L, CDC45,SHMT7,MAD2L1,P27,IQGAP3,PTEN,P57,SCAMP3,etc...On the other hand, it is obvious that miR-3200 affects the translational ability of several genes, such as, upregulating GNS,UPRT,EIFAD,YOS1,SGK1,K-Ras,PKM2,C-myc,Pim1,CyclinD1,mTOR,erbB-2,CyclinE,PCNA,RRAS,ARAF,RAPH1,etc.. and down-regulating KDM2A, AATF, TMM17B, RAB8B, MYO1G,P21WAF1/Cip1,GADD45,PTEN,P27,P18,P57,SERBP1,RPL34,UFD1,Bax,ANXA6,GSK3β. Strikingly, miR-3200 affects some signaling pathway in liver cancer, including carbon metabolism signaling pathway, DNA replication pathway, FoxO signaling pathway, Hippo signaling pathway, serine and threonine metabolism signaling pathway, mTOR signaling pathway, Fatty acid biosynthesis signaling pathway, carcinogenesis-receptor activation signaling pathway, autophagy signaling pathway. Furthermore, our results suggest that miR-3200 enhances expression of RAB7A, and then Rab7A regulates the carcinogenic function of miR-3200 by increasing telomere remodeling in human liver cancer. These results are of great significance for the prevention and treatment of human liver cancer.
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Affiliation(s)
| | | | | | - Shujie Li
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Liyan Wang
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Xiaoxue Jiang
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Dongdong Lu
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
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10
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Durfee C, Temiz NA, Levin-Klein R, Argyris PP, Alsøe L, Carracedo S, Alonso de la Vega A, Proehl J, Holzhauer AM, Seeman ZJ, Liu X, Lin YHT, Vogel RI, Sotillo R, Nilsen H, Harris RS. Human APOBEC3B promotes tumor development in vivo including signature mutations and metastases. Cell Rep Med 2023; 4:101211. [PMID: 37797615 PMCID: PMC10591044 DOI: 10.1016/j.xcrm.2023.101211] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/14/2023] [Accepted: 09/06/2023] [Indexed: 10/07/2023]
Abstract
The antiviral DNA cytosine deaminase APOBEC3B has been implicated as a source of mutation in many cancers. However, despite years of work, a causal relationship has yet to be established in vivo. Here, we report a murine model that expresses tumor-like levels of human APOBEC3B. Animals expressing full-body APOBEC3B appear to develop normally. However, adult males manifest infertility, and older animals of both sexes show accelerated rates of carcinogenesis, visual and molecular tumor heterogeneity, and metastasis. Both primary and metastatic tumors exhibit increased frequencies of C-to-T mutations in TC dinucleotide motifs consistent with the established biochemical activity of APOBEC3B. Enrichment for APOBEC3B-attributable single base substitution mutations also associates with elevated levels of insertion-deletion mutations and structural variations. APOBEC3B catalytic activity is required for all of these phenotypes. Together, these studies provide a cause-and-effect demonstration that human APOBEC3B is capable of driving both tumor initiation and evolution in vivo.
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Affiliation(s)
- Cameron Durfee
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Nuri Alpay Temiz
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Rena Levin-Klein
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Prokopios P Argyris
- Division of Oral and Maxillofacial Pathology, College of Dentistry, Ohio State University, Columbus, OH 43210, USA
| | - Lene Alsøe
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway; Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway
| | - Sergio Carracedo
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway
| | - Alicia Alonso de la Vega
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TRLC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Joshua Proehl
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Anna M Holzhauer
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Zachary J Seeman
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Xingyu Liu
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Yu-Hsiu T Lin
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Rachel I Vogel
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; Department of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Rocio Sotillo
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TRLC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Hilde Nilsen
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway; Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway
| | - Reuben S Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA; Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA.
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11
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Stenman A, Juhlin CC. Novel Insights in the Genomics of Anaplastic Thyroid Carcinoma: A Role for Cyclin-Dependent Kinase Inhibition? Cancers (Basel) 2023; 15:4621. [PMID: 37760590 PMCID: PMC10526404 DOI: 10.3390/cancers15184621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/07/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Anaplastic thyroid carcinoma (ATC) stands as a rare but extraordinarily lethal tumor, marked by its limited treatment options [...].
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Affiliation(s)
- Adam Stenman
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17177 Stockholm, Sweden;
- Department of Breast, Endocrine Tumors and Sarcoma, Karolinska University Hospital Solna, 17176 Stockholm, Sweden
| | - Carl Christofer Juhlin
- Department of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital Solna, 17176 Stockholm, Sweden
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12
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Otlu B, Díaz-Gay M, Vermes I, Bergstrom EN, Zhivagui M, Barnes M, Alexandrov LB. Topography of mutational signatures in human cancer. Cell Rep 2023; 42:112930. [PMID: 37540596 PMCID: PMC10507738 DOI: 10.1016/j.celrep.2023.112930] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 05/09/2023] [Accepted: 07/18/2023] [Indexed: 08/06/2023] Open
Abstract
The somatic mutations found in a cancer genome are imprinted by different mutational processes. Each process exhibits a characteristic mutational signature, which can be affected by the genome architecture. However, the interplay between mutational signatures and topographical genomic features has not been extensively explored. Here, we integrate mutations from 5,120 whole-genome-sequenced tumors from 40 cancer types with 516 topographical features from ENCODE to evaluate the effect of nucleosome occupancy, histone modifications, CTCF binding, replication timing, and transcription/replication strand asymmetries on the cancer-specific accumulation of mutations from distinct mutagenic processes. Most mutational signatures are affected by topographical features, with signatures of related etiologies being similarly affected. Certain signatures exhibit periodic behaviors or cancer-type-specific enrichments/depletions near topographical features, revealing further information about the processes that imprinted them. Our findings, disseminated via the COSMIC (Catalog of Somatic Mutations in Cancer) signatures database, provide a comprehensive online resource for exploring the interactions between mutational signatures and topographical features across human cancer.
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Affiliation(s)
- Burçak Otlu
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA; Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara 06800, Turkey
| | - Marcos Díaz-Gay
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Ian Vermes
- COSMIC, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Erik N Bergstrom
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Maria Zhivagui
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Mark Barnes
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA.
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13
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Vardi-Yaacov O, Yaacov A, Rosenberg S, Simon I. Both cell autonomous and non-autonomous processes modulate the association between replication timing and mutation rate. Sci Rep 2023; 13:13143. [PMID: 37573368 PMCID: PMC10423235 DOI: 10.1038/s41598-023-39463-1] [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: 02/27/2023] [Accepted: 07/26/2023] [Indexed: 08/14/2023] Open
Abstract
Cancer somatic mutations are the product of multiple mutational and repair processes, some of which are tightly associated with DNA replication. Mutation rates (MR) are known to be higher in late replication timing (RT) regions, but different processes can affect this association. Systematic analysis of the mutational landscape of 2787 tumors from 32 tumor types revealed that approximately one third of the tumor samples show weak association between replication timing and mutation rate. Further analyses revealed that those samples have unique mutational signatures and are enriched with mutations in genes involved in DNA replication, DNA repair and chromatin structure. Surprisingly, analysis of differentially expressed genes between weak and strong RT-MR association groups revealed that tumors with weak association are enriched with genes associated with cell-cell communication and the immune system, suggesting a non-autonomous response to DNA damage.
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Affiliation(s)
- Oriya Vardi-Yaacov
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Adar Yaacov
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Sharett Institute for Oncology, The Gaffin Center for Neuro-Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
- The Wohl Institute for Translational Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shai Rosenberg
- Sharett Institute for Oncology, The Gaffin Center for Neuro-Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
- The Wohl Institute for Translational Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Itamar Simon
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
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14
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Sanchez A, Ortega P, Sakhtemani R, Manjunath L, Oh S, Bournique E, Becker A, Kim K, Durfee C, Temiz NA, Chen XS, Harris RS, Lawrence MS, Buisson R. Mesoscale DNA Features Impact APOBEC3A and APOBEC3B Deaminase Activity and Shape Tumor Mutational Landscapes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.02.551499. [PMID: 37577509 PMCID: PMC10418229 DOI: 10.1101/2023.08.02.551499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Antiviral DNA cytosine deaminases APOBEC3A and APOBEC3B are major sources of mutations in cancer by catalyzing cytosine-to-uracil deamination. APOBEC3A preferentially targets singlestranded DNAs, with a noted affinity for DNA regions that adopt stem-loop secondary structures. However, the detailed substrate preferences of APOBEC3A and APOBEC3B have been fully established, and the specific influence of the DNA sequence on APOBEC3A APOBEC3B deaminase activity remains to be investigated. Here, we find that APOBEC3B selectively targets DNA stem-loop structures, and they are distinct from those subjected deamination by APOBEC3A. We develop Oligo-seq, a novel in vitro sequencing-based to identify specific sequence contexts promoting APOBEC3A and APOBEC3B activity. Through this approach, we demonstrate that APOBEC3A an APOBEC3B deaminase activity is strongly regulated by specific sequences surrounding the targeted cytosine. Moreover, we identify structural features of APOBEC3B and APOBEC3A responsible for their substrate preferences. Importantly, we determine that APOBEC3B-induced mutations in hairpin-forming sequences within tumor genomes differ from the DNA stem-loop sequences mutated by APOBEC3A. Together, our study provides evidence that APOBEC3A and APOBEC3B can generate mutation landscapes in cancer genomes, driven by their unique substrate selectivity.
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15
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Isozaki H, Sakhtemani R, Abbasi A, Nikpour N, Stanzione M, Oh S, Langenbucher A, Monroe S, Su W, Cabanos HF, Siddiqui FM, Phan N, Jalili P, Timonina D, Bilton S, Gomez-Caraballo M, Archibald HL, Nangia V, Dionne K, Riley A, Lawlor M, Banwait MK, Cobb RG, Zou L, Dyson NJ, Ott CJ, Benes C, Getz G, Chan CS, Shaw AT, Gainor JF, Lin JJ, Sequist LV, Piotrowska Z, Yeap BY, Engelman JA, Lee JJK, Maruvka YE, Buisson R, Lawrence MS, Hata AN. Therapy-induced APOBEC3A drives evolution of persistent cancer cells. Nature 2023; 620:393-401. [PMID: 37407818 PMCID: PMC10804446 DOI: 10.1038/s41586-023-06303-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 06/08/2023] [Indexed: 07/07/2023]
Abstract
Acquired drug resistance to anticancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified1-4, the underlying molecular mechanisms shaping tumour evolution during treatment are incompletely understood. Genomic profiling of patient tumours has implicated apolipoprotein B messenger RNA editing catalytic polypeptide-like (APOBEC) cytidine deaminases in tumour evolution; however, their role during therapy and the development of acquired drug resistance is undefined. Here we report that lung cancer targeted therapies commonly used in the clinic can induce cytidine deaminase APOBEC3A (A3A), leading to sustained mutagenesis in drug-tolerant cancer cells persisting during therapy. Therapy-induced A3A promotes the formation of double-strand DNA breaks, increasing genomic instability in drug-tolerant persisters. Deletion of A3A reduces APOBEC mutations and structural variations in persister cells and delays the development of drug resistance. APOBEC mutational signatures are enriched in tumours from patients with lung cancer who progressed after extended responses to targeted therapies. This study shows that induction of A3A in response to targeted therapies drives evolution of drug-tolerant persister cells, suggesting that suppression of A3A expression or activity may represent a potential therapeutic strategy in the prevention or delay of acquired resistance to lung cancer targeted therapy.
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Affiliation(s)
- Hideko Isozaki
- Massachusetts General Hospital Cancer Center, Boston, MA, USA.
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Ramin Sakhtemani
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ammal Abbasi
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Naveed Nikpour
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | | | - Sunwoo Oh
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, School of Medicine, University of California Irvine, Irvine, CA, USA
| | | | - Susanna Monroe
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Wenjia Su
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Heidie Frisco Cabanos
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Nicole Phan
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Pégah Jalili
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Daria Timonina
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Samantha Bilton
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | | | | | - Varuna Nangia
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Kristin Dionne
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Amanda Riley
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Matthew Lawlor
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | | | - Rosemary G Cobb
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Lee Zou
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - Nicholas J Dyson
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Christopher J Ott
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cyril Benes
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gad Getz
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Chang S Chan
- Department of Medicine, Rutgers Robert Wood Johnson Medical School and Center for Systems and Computational Biology, Rutgers Cancer Institute, New Brunswick, NJ, USA
| | - Alice T Shaw
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Justin F Gainor
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica J Lin
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Lecia V Sequist
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Zofia Piotrowska
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Beow Y Yeap
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jeffrey A Engelman
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jake June-Koo Lee
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yosef E Maruvka
- Faculty of Biotechnology and Food Engineering, Lorey Loki Center for Life Science and Engineering, Technion, Haifa, Israel
| | - Rémi Buisson
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, School of Medicine, University of California Irvine, Irvine, CA, USA
- Department of Pharmaceutical Sciences, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
| | - Michael S Lawrence
- Massachusetts General Hospital Cancer Center, Boston, MA, USA.
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Aaron N Hata
- Massachusetts General Hospital Cancer Center, Boston, MA, USA.
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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16
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Hung KL, Jones MG, Wong ITL, Lange JT, Luebeck J, Scanu E, He BJ, Brückner L, Li R, González RC, Schmargon R, Dörr JR, Belk JA, Bafna V, Werner B, Huang W, Henssen AG, Mischel PS, Chang HY. Coordinated inheritance of extrachromosomal DNA species in human cancer cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.18.549597. [PMID: 37503111 PMCID: PMC10371175 DOI: 10.1101/2023.07.18.549597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
The chromosomal theory of inheritance has dominated human genetics, including cancer genetics. Genes on the same chromosome segregate together while genes on different chromosomes assort independently, providing a fundamental tenet of Mendelian inheritance. Extrachromosomal DNA (ecDNA) is a frequent event in cancer that drives oncogene amplification, dysregulated gene expression and intratumoral heterogeneity, including through random segregation during cell division. Distinct ecDNA sequences, herein termed ecDNA species, can co-exist to facilitate intermolecular cooperation in cancer cells. However, how multiple ecDNA species within a tumor cell are assorted and maintained across somatic cell generations to drive cancer cell evolution is not known. Here we show that cooperative ecDNA species can be coordinately inherited through mitotic co-segregation. Imaging and single-cell analyses show that multiple ecDNAs encoding distinct oncogenes co-occur and are correlated in copy number in human cancer cells. EcDNA species are coordinately segregated asymmetrically during mitosis, resulting in daughter cells with simultaneous copy number gains in multiple ecDNA species prior to any selection. Computational modeling reveals the quantitative principles of ecDNA co-segregation and co-selection, predicting their observed distributions in cancer cells. Finally, we show that coordinated inheritance of ecDNAs enables co-amplification of specialized ecDNAs containing only enhancer elements and guides therapeutic strategies to jointly deplete cooperating ecDNA oncogenes. Coordinated inheritance of ecDNAs confers stability to oncogene cooperation and novel gene regulatory circuits, allowing winning combinations of epigenetic states to be transmitted across cell generations.
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Affiliation(s)
- King L. Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Matthew G. Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Ivy Tsz-Lo Wong
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Joshua T. Lange
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA
| | - Elisa Scanu
- Department of Mathematics, Queen Mary University of London, London, UK
| | - Britney Jiayu He
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Lotte Brückner
- Max-Delbrück-Centrum für Molekulare Medizin (BIMSB/BIH), Berlin, Germany
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Rocío Chamorro González
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Rachel Schmargon
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Jan R. Dörr
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Julia A. Belk
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA
| | - Benjamin Werner
- Evolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Weini Huang
- Department of Mathematics, Queen Mary University of London, London, UK
- Group of Theoretical Biology, The State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou, China
| | - Anton G. Henssen
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center DKFZ, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Berlin Institute of Health, Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany
| | - Paul S. Mischel
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
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17
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Saito-Adachi M, Hama N, Totoki Y, Nakamura H, Arai Y, Hosoda F, Rokutan H, Yachida S, Kato M, Fukagawa A, Shibata T. Oncogenic structural aberration landscape in gastric cancer genomes. Nat Commun 2023; 14:3688. [PMID: 37349325 PMCID: PMC10287692 DOI: 10.1038/s41467-023-39263-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/05/2023] [Indexed: 06/24/2023] Open
Abstract
Structural variants (SVs) are responsible for driver events in gastric cancer (GC); however, their patterns and processes remain poorly understood. Here, we examine 170 GC whole genomes to unravel the oncogenic structural aberration landscape in GC genomes and identify six rearrangement signatures (RSs). Non-random combinations of RSs elucidate distinctive GC subtypes comprising one or a few dominant RS that are associated with specific driver events (BRCA1/2 defects, mismatch repair deficiency, and TP53 mutation) and epidemiological backgrounds. Twenty-seven SV hotspots are identified as GC driver candidates. SV hotspots frequently constitute complexly clustered SVs involved in driver gene amplification, such as ERBB2, CCNE1, and FGFR2. Further deconstruction of the locally clustered SVs uncovers amplicon-generating profiles characterized by super-large SVs and intensive segmental amplifications, contributing to the extensive amplification of GC oncogenes. Comprehensive analyses using adjusted SV allele frequencies indicate the significant involvement of extra-chromosomal DNA in processes linked to specific RSs.
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Affiliation(s)
- Mihoko Saito-Adachi
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Natsuko Hama
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasuhito Arai
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Fumie Hosoda
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hirofumi Rokutan
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinichi Yachida
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Mamoru Kato
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan
| | - Akihiko Fukagawa
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
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18
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Delhomme TM, Munteanu M, Buonanno M, Grilj V, Biayna J, Supek F. Proton and alpha radiation-induced mutational profiles in human cells. Sci Rep 2023; 13:9791. [PMID: 37328655 PMCID: PMC10275862 DOI: 10.1038/s41598-023-36845-3] [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: 10/10/2022] [Accepted: 06/11/2023] [Indexed: 06/18/2023] Open
Abstract
Ionizing radiation is known to be DNA damaging and mutagenic, however less is known about which mutational footprints result from exposures of human cells to different types of radiation. We were interested in the mutagenic effects of particle radiation exposures on genomes of various human cell types, in order to gauge the genotoxic risks of galactic cosmic radiation, and of certain types of tumor radiotherapy. To this end, we exposed cultured cell lines from the human blood, breast and lung to fractionated proton and alpha particle (helium nuclei) beams at doses sufficient to considerably affect cell viability. Whole-genome sequencing revealed that mutation rates were not overall markedly increased upon proton and alpha exposures. However, there were modest changes in mutation spectra and distributions, such as the increases in clustered mutations and of certain types of indels and structural variants. The spectrum of mutagenic effects of particle beams may be cell-type and/or genetic background specific. Overall, the mutational effects of repeated exposures to proton and alpha radiation on human cells in culture appear subtle, however further work is warranted to understand effects of long-term exposures on various human tissues.
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Affiliation(s)
- Tiffany M Delhomme
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Maia Munteanu
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Manuela Buonanno
- Radiological Research Accelerator Facility (RARAF), Columbia University, New York, USA
| | - Veljko Grilj
- Radiological Research Accelerator Facility (RARAF), Columbia University, New York, USA
| | - Josep Biayna
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
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19
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Caballero M, Koren A. The landscape of somatic mutations in lymphoblastoid cell lines. CELL GENOMICS 2023; 3:100305. [PMID: 37388907 PMCID: PMC10300552 DOI: 10.1016/j.xgen.2023.100305] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 02/03/2023] [Accepted: 03/28/2023] [Indexed: 07/01/2023]
Abstract
Somatic mutations have important biological ramifications while exerting substantial rate, type, and genomic location heterogeneity. Yet, their sporadic occurrence makes them difficult to study at scale and across individuals. Lymphoblastoid cell lines (LCLs), a model system for human population and functional genomics, harbor large numbers of somatic mutations and have been extensively genotyped. By comparing 1,662 LCLs, we report that the mutational landscape of the genome varies across individuals in terms of the number of mutations, their genomic locations, and their spectra; this variation may itself be modulated by somatic trans-acting mutations. Mutations attributed to the translesion DNA polymerase η follow two different modes of formation, with one mode accounting for the hypermutability of the inactive X chromosome. Nonetheless, the distribution of mutations along the inactive X chromosome appears to follow an epigenetic memory of the active form.
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Affiliation(s)
- Madison Caballero
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Amnon Koren
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
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20
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Granadillo Rodríguez M, Wong L, Chelico L. Similar deamination activities but different phenotypic outcomes induced by APOBEC3 enzymes in breast epithelial cells. Front Genome Ed 2023; 5:1196697. [PMID: 37324648 PMCID: PMC10267419 DOI: 10.3389/fgeed.2023.1196697] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/22/2023] [Indexed: 06/17/2023] Open
Abstract
APOBEC3 (A3) enzymes deaminate cytosine to uracil in viral single-stranded DNA as a mutagenic barrier for some viruses. A3-induced deaminations can also occur in human genomes resulting in an endogenous source of somatic mutations in multiple cancers. However, the roles of each A3 are unclear since few studies have assessed these enzymes in parallel. Thus, we developed stable cell lines expressing A3A, A3B, or A3H Hap I using non-tumorigenic MCF10A and tumorigenic MCF7 breast epithelial cells to assess their mutagenic potential and cancer phenotypes in breast cells. The activity of these enzymes was characterized by γH2AX foci formation and in vitro deamination. Cell migration and soft agar colony formation assays assessed cellular transformation potential. We found that all three A3 enzymes had similar γH2AX foci formation, despite different deamination activities in vitro. Notably, in nuclear lysates, the in vitro deaminase activity of A3A, A3B, and A3H did not require digestion of cellular RNA, in contrast to that of A3B and A3H in whole-cell lysates. Their similar activities in cells, nonetheless, resulted in distinct phenotypes where A3A decreased colony formation in soft agar, A3B decreased colony formation in soft agar after hydroxyurea treatment, and A3H Hap I promoted cell migration. Overall, we show that in vitro deamination data do not always reflect cell DNA damage, all three A3s induce DNA damage, and the impact of each is different.
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21
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Wiecek AJ, Cutty SJ, Kornai D, Parreno-Centeno M, Gourmet LE, Tagliazucchi GM, Jacobson DH, Zhang P, Xiong L, Bond GL, Barr AR, Secrier M. Genomic hallmarks and therapeutic implications of G0 cell cycle arrest in cancer. Genome Biol 2023; 24:128. [PMID: 37221612 PMCID: PMC10204193 DOI: 10.1186/s13059-023-02963-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 05/07/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Therapy resistance in cancer is often driven by a subpopulation of cells that are temporarily arrested in a non-proliferative G0 state, which is difficult to capture and whose mutational drivers remain largely unknown. RESULTS We develop methodology to robustly identify this state from transcriptomic signals and characterise its prevalence and genomic constraints in solid primary tumours. We show that G0 arrest preferentially emerges in the context of more stable, less mutated genomes which maintain TP53 integrity and lack the hallmarks of DNA damage repair deficiency, while presenting increased APOBEC mutagenesis. We employ machine learning to uncover novel genomic dependencies of this process and validate the role of the centrosomal gene CEP89 as a modulator of proliferation and G0 arrest capacity. Lastly, we demonstrate that G0 arrest underlies unfavourable responses to various therapies exploiting cell cycle, kinase signalling and epigenetic mechanisms in single-cell data. CONCLUSIONS We propose a G0 arrest transcriptional signature that is linked with therapeutic resistance and can be used to further study and clinically track this state.
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Affiliation(s)
- Anna J. Wiecek
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Stephen J. Cutty
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Daniel Kornai
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Mario Parreno-Centeno
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Lucie E. Gourmet
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | | | - Daniel H. Jacobson
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
- UCL Cancer Institute, Paul O’Gorman Building, University College London, London, UK
| | - Ping Zhang
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lingyun Xiong
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gareth L. Bond
- Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Alexis R. Barr
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- Cell Cycle Control Team, MRC London Institute of Medical Sciences (LMS), London, UK
| | - Maria Secrier
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
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22
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Lin CJ, Xiao WX, Fu T, Jin X, Shao ZM, Di GH. Calcifications in triple-negative breast cancer: Molecular features and treatment strategies. NPJ Breast Cancer 2023; 9:26. [PMID: 37061514 PMCID: PMC10105779 DOI: 10.1038/s41523-023-00531-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 03/30/2023] [Indexed: 04/17/2023] Open
Abstract
Despite the high prevalence of mammographic calcifications, our understanding remains limited regarding the clinical and molecular features of calcifications within triple-negative breast cancer (TNBC). To investigate the clinical relevance and biological basis of TNBC with calcifications of high suspicion for malignancy, we established a study cohort (N = 312) by integrating mammographic records with clinical data and genomic, transcriptomic, and metabolomic profiling. Despite similar clinicopathological features, patients with highly suspicious calcifications exhibited a worse overall survival than those without. In addition, TNBC with highly suspicious calcifications was characterized by a higher frequency of PIK3CA mutation, lower infiltration of immune cells, and increased abnormality of lipid metabolism. Overall, our study systematically revealed clinical and molecular heterogeneity between TNBC with or without calcifications of high suspicion for malignancy. These data might help to understand the clinical relevance and biological basis of mammographic calcifications.
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Affiliation(s)
- Cai-Jin Lin
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Wen-Xuan Xiao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Tong Fu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Xi Jin
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Zhi-Ming Shao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Gen-Hong Di
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Key Laboratory of Breast Cancer in Shanghai, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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23
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Butler K, Banday AR. APOBEC3-mediated mutagenesis in cancer: causes, clinical significance and therapeutic potential. J Hematol Oncol 2023; 16:31. [PMID: 36978147 PMCID: PMC10044795 DOI: 10.1186/s13045-023-01425-5] [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: 01/11/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
Apolipoprotein B mRNA-editing enzyme, catalytic polypeptides (APOBECs) are cytosine deaminases involved in innate and adaptive immunity. However, some APOBEC family members can also deaminate host genomes to generate oncogenic mutations. The resulting mutations, primarily signatures 2 and 13, occur in many tumor types and are among the most common mutational signatures in cancer. This review summarizes the current evidence implicating APOBEC3s as major mutators and outlines the exogenous and endogenous triggers of APOBEC3 expression and mutational activity. The review also discusses how APOBEC3-mediated mutagenesis impacts tumor evolution through both mutagenic and non-mutagenic pathways, including by inducing driver mutations and modulating the tumor immune microenvironment. Moving from molecular biology to clinical outcomes, the review concludes by summarizing the divergent prognostic significance of APOBEC3s across cancer types and their therapeutic potential in the current and future clinical landscapes.
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Affiliation(s)
- Kelly Butler
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - A Rouf Banday
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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24
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An APOBEC3 Mutational Signature in the Genomes of Human-Infecting Orthopoxviruses. mSphere 2023; 8:e0006223. [PMID: 36920219 PMCID: PMC10117092 DOI: 10.1128/msphere.00062-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
The ongoing worldwide monkeypox outbreak is caused by viral lineages (globally referred to as hMPXV1) that are related to but distinct from clade IIb MPXV viruses transmitted within Nigeria. Analysis of the genetic differences has indicated that APOBEC-mediated editing might be responsible for the unexpectedly high number of mutations observed in hMPXV1 genomes. Here, using 1,624 publicly available hMPXV1 sequences, we analyzed the mutations that accrued between 2017 and the emergence of the current predominant variant (B.1), as well as those that that have been accumulating during the 2022 outbreak. We confirmed an overwhelming prevalence of C-to-T and G-to-A mutations, with a sequence context (5'-TC-3') consistent with the preferences of several human APOBEC3 enzymes. We also found that mutations preferentially occur in highly expressed viral genes, although no transcriptional asymmetry was observed. A comparison of the mutation spectrum and context was also performed against the human-specific variola virus (VARV) and the zoonotic cowpox virus (CPXV), as well as fowlpox virus (FWPV). The results indicated that in VARV genomes, C-to-T and G-to-A changes were more common than the opposite substitutions, although the effect was less marked than for hMPXV1. Conversely, no preference toward C-to-T and G-to-A changes was observed in CPXV and FWPV. Consistently, the sequence context of C-to-T changes confirmed a preference for a T in the -1 position for VARV, but not for CPXV or FWPV. Overall, our results strongly support the view that, irrespective of the transmission route, orthopoxviruses infecting humans are edited by the host APOBEC3 enzymes. IMPORTANCE Analysis of the viral lineages responsible for the 2022 monkeypox outbreak suggested that APOBEC enzymes are driving hMPXV1 evolution. Using 1,624 public sequences, we analyzed the mutations that accumulated between 2017 and the emergence of the predominant variant and those that characterize the last outbreak. We found that the mutation spectrum of hMPXV1 has been dominated by TC-to-TT and GA-to-AA changes, consistent with the editing activity of human APOBEC3 proteins. We also found that mutations preferentially affect highly expressed viral genes, possibly because transcription exposes single-stranded DNA (ssDNA), a target of APOBEC3 editing. Notably, analysis of the human-specific variola virus (VARV) and the zoonotic cowpox virus (CPXV) indicated that in VARV genomes, TC-to-TT and GA-to-AA changes are likewise extremely frequent. Conversely, no preference toward TC-to-TT and GA-to-AA changes is observed in CPXV. These results suggest that APOBEC3 proteins have an impact on the evolution of different human-infecting orthopoxviruses.
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25
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Amgalan B, Wojtowicz D, Kim YA, Przytycka TM. Influence network model uncovers relations between biological processes and mutational signatures. Genome Med 2023; 15:15. [PMID: 36879282 PMCID: PMC9987115 DOI: 10.1186/s13073-023-01162-x] [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: 08/31/2022] [Accepted: 02/08/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND There has been a growing appreciation recently that mutagenic processes can be studied through the lenses of mutational signatures, which represent characteristic mutation patterns attributed to individual mutagens. However, the causal links between mutagens and observed mutation patterns as well as other types of interactions between mutagenic processes and molecular pathways are not fully understood, limiting the utility of mutational signatures. METHODS To gain insights into these relationships, we developed a network-based method, named GENESIGNET that constructs an influence network among genes and mutational signatures. The approach leverages sparse partial correlation among other statistical techniques to uncover dominant influence relations between the activities of network nodes. RESULTS Applying GENESIGNET to cancer data sets, we uncovered important relations between mutational signatures and several cellular processes that can shed light on cancer-related processes. Our results are consistent with previous findings, such as the impact of homologous recombination deficiency on clustered APOBEC mutations in breast cancer. The network identified by GENESIGNET also suggest an interaction between APOBEC hypermutation and activation of regulatory T Cells (Tregs), as well as a relation between APOBEC mutations and changes in DNA conformation. GENESIGNET also exposed a possible link between the SBS8 signature of unknown etiology and the Nucleotide Excision Repair (NER) pathway. CONCLUSIONS GENESIGNET provides a new and powerful method to reveal the relation between mutational signatures and gene expression. The GENESIGNET method was implemented in python, and installable package, source codes and the data sets used for and generated during this study are available at the Github site https://github.com/ncbi/GeneSigNet.
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Affiliation(s)
- Bayarbaatar Amgalan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, 20894, Bethesda, USA
| | - Damian Wojtowicz
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, 20894, Bethesda, USA.,Current address: Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw, ul. Banacha 2, 02-097, Warszawa, Poland
| | - Yoo-Ah Kim
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, 20894, Bethesda, USA
| | - Teresa M Przytycka
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, 20894, Bethesda, USA.
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26
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Liu Y, Wu X, d'Aubenton-Carafa Y, Thermes C, Chen CL. OKseqHMM: a genome-wide replication fork directionality analysis toolkit. Nucleic Acids Res 2023; 51:e22. [PMID: 36629249 PMCID: PMC9976876 DOI: 10.1093/nar/gkac1239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/06/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
During each cell division, tens of thousands of DNA replication origins are co-ordinately activated to ensure the complete duplication of the human genome. However, replication fork progression can be challenged by many factors, including co-directional and head-on transcription-replication conflicts (TRC). Head-on TRCs are more dangerous for genome integrity. To study the direction of replication fork movement and TRCs, we developed a bioinformatics toolkit called OKseqHMM (https://github.com/CL-CHEN-Lab/OK-Seq, https://doi.org/10.5281/zenodo.7428883). Then, we used OKseqHMM to analyse a large number of datasets obtained by Okazaki fragment sequencing to directly measure the genome-wide replication fork directionality (RFD) and to accurately predict replication initiation and termination at a fine resolution in organisms including yeast, mouse and human. We also successfully applied our analysis to other genome-wide sequencing techniques that also contain RFD information (e.g. eSPAN, TrAEL-seq). Our toolkit can be used to predict replication initiation and fork progression direction genome-wide in a wide range of cell models and growth conditions. Comparing the replication and transcription directions allows identifying loci at risk of TRCs, particularly head-on TRCs, and investigating their role in genome instability by checking DNA damage data, which is of prime importance for human health.
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Affiliation(s)
- Yaqun Liu
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information, 75005 Paris, France
| | - Xia Wu
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information, 75005 Paris, France
| | - Yves d'Aubenton-Carafa
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Claude Thermes
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Chun-Long Chen
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information, 75005 Paris, France
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27
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Hazelaar DM, van Riet J, Hoogstrate Y, van de Werken HJG. Katdetectr: an R/bioconductor package utilizing unsupervised changepoint analysis for robust kataegis detection. Gigascience 2022; 12:giad081. [PMID: 37848617 PMCID: PMC10580377 DOI: 10.1093/gigascience/giad081] [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: 02/24/2023] [Revised: 06/15/2023] [Accepted: 09/12/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Kataegis refers to the occurrence of regional genomic hypermutation in cancer and is a phenomenon that has been observed in a wide range of malignancies. A kataegis locus constitutes a genomic region with a high mutation rate (i.e., a higher frequency of closely interspersed somatic variants than the overall mutational background). It has been shown that kataegis is of biological significance and possibly clinically relevant. Therefore, an accurate and robust workflow for kataegis detection is paramount. FINDINGS Here we present Katdetectr, an open-source R/Bioconductor-based package for the robust yet flexible and fast detection of kataegis loci in genomic data. In addition, Katdetectr houses functionalities to characterize and visualize kataegis and provides results in a standardized format useful for subsequent analysis. In brief, Katdetectr imports industry-standard formats (MAF, VCF, and VRanges), determines the intermutation distance of the genomic variants, and performs unsupervised changepoint analysis utilizing the Pruned Exact Linear Time search algorithm followed by kataegis calling according to user-defined parameters.We used synthetic data and an a priori labeled pan-cancer dataset of whole-genome sequenced malignancies for the performance evaluation of Katdetectr and 5 publicly available kataegis detection packages. Our performance evaluation shows that Katdetectr is robust regarding tumor mutational burden and shows the fastest mean computation time. Additionally, Katdetectr reveals the highest accuracy (0.99, 0.99) and normalized Matthews correlation coefficient (0.98, 0.92) of all evaluated tools for both datasets. CONCLUSIONS Katdetectr is a robust workflow for the detection, characterization, and visualization of kataegis and is available on Bioconductor: https://doi.org/doi:10.18129/B9.bioc.katdetectr.
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Affiliation(s)
- Daan M Hazelaar
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
| | - Job van Riet
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
| | - Youri Hoogstrate
- Department of Neurology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
| | - Harmen J G van de Werken
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
- Department of Immunology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD, Rotterdam, the Netherlands
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28
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Peng T, Liu B, Lin S, Cao C, Wu P, Zhi W, Wei Y, Chu T, Gui L, Ding W. APOBEC3G expression correlates with unfavorable prognosis and immune infiltration in kidney renal clear cell carcinoma. Heliyon 2022; 8:e12191. [PMID: 36568653 PMCID: PMC9768312 DOI: 10.1016/j.heliyon.2022.e12191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/17/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Background Kidney renal clear cell carcinoma (KIRC) is the most common pathological subtype of renal cell cancer. APOBEC3 activity has been identified in a variety of human cancers. Although its involvement in cancer has been studied widely, its influence on the tumor immune microenvironment remains poorly understood. Therefore, this study aimed to focus on the effect of APOBEC3 on tumor immune microenvironment of KIRC. Methods In this study, we comprehensively analyzed the expression and prognostic significance of the APOBEC3 family in pan-cancer using multiple databases. The functions of key APOBEC3 family members were further investigated in KIRC, with APOBEC3G determined to be a candidate biomarker for unfavorable prognosis. We subsequently explored the correlation of APOBEC3G with the tumor immune environment in KIRC by analyzing the Cancer Genome Atlas (TCGA) dataset, then validated the prognostic significance and PD-L1 correlation of APOBEC3G by using tissue microarrays which included 233 primary tumor samples from patients with renal clear cell carcinoma. Results The APOBEC3 family was overexpressed in KIRC and high APOBEC3 expression predicted poor prognosis. In addition, APOBEC3G was positively correlated with the expression of immunoinhibitors such as TIGIT, LAG3, CD96, PD-1, and CTLA4. In addition, APOBEC3G had a positive correlation with immunosuppressive cells, including regulatory T cell and myeloid-derived suppressor cell. Finally, based on 233 clinical samples, we validated that high expression of APOBEC3G contributed to a poor prognosis for KIRC patients and the positive relationship between APOBEC3G and PD-L1 expression. High APOBEC3G expression was also found to be more common in patients with sarcomatoid histology (P = 0.0026). Conclusions Our study showed that APOBEC3G was a prognostic biomarker correlated with the immune response in KIRC. In addition, APOBE3G had a positive correlation with PD-L1 expression and sarcomatoid histology, perhaps suggesting the potential impact of APOBEC3G on immunotherapy.
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Affiliation(s)
- Ting Peng
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Binghan Liu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shitong Lin
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Canhui Cao
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Guangdong, 518036, China
| | - Ping Wu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenhua Zhi
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ye Wei
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tian Chu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lingli Gui
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Corresponding author.
| | - Wencheng Ding
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Corresponding author.
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29
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Modenini G, Abondio P, Boattini A. The coevolution between APOBEC3 and retrotransposons in primates. Mob DNA 2022; 13:27. [PMID: 36443831 PMCID: PMC9706992 DOI: 10.1186/s13100-022-00283-1] [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: 09/06/2022] [Accepted: 10/31/2022] [Indexed: 12/02/2022] Open
Abstract
Retrotransposons are genetic elements with the ability to replicate in the genome using reverse transcriptase: they have been associated with the development of different biological structures, such as the Central Nervous System (CNS), and their high mutagenic potential has been linked to various diseases, including cancer and neurological disorders. Throughout evolution and over time, Primates and Homo had to cope with infections from viruses and bacteria, and also with endogenous retroelements. Therefore, host genomes have evolved numerous methods to counteract the activity of endogenous and exogenous pathogens, and the APOBEC3 family of mutators is a prime example of a defensive mechanism in this context.In most Primates, there are seven members of the APOBEC3 family of deaminase proteins: among their functions, there is the ability to inhibit the mobilization of retrotransposons and the functionality of viruses. The evolution of the APOBEC3 proteins found in Primates is correlated with the expansion of two major families of retrotransposons, i.e. ERV and LINE-1.In this review, we will discuss how the rapid expansion of the APOBEC3 family is linked to the evolution of retrotransposons, highlighting the strong evolutionary arms race that characterized the history of APOBEC3s and endogenous retroelements in Primates. Moreover, the possible role of this relationship will be assessed in the context of embryonic development and brain-associated diseases.
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Affiliation(s)
- Giorgia Modenini
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Paolo Abondio
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy ,grid.6292.f0000 0004 1757 1758Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Alessio Boattini
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
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30
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Petljak M, Green AM, Maciejowski J, Weitzman MD. Addressing the benefits of inhibiting APOBEC3-dependent mutagenesis in cancer. Nat Genet 2022; 54:1599-1608. [PMID: 36280735 PMCID: PMC9700387 DOI: 10.1038/s41588-022-01196-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 08/29/2022] [Indexed: 01/21/2023]
Abstract
Mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like (APOBEC)3 cytosine deaminase activity have been found in over half of cancer types, including some therapy-resistant and metastatic tumors. Driver mutations can occur in APOBEC3-favored sequence contexts, suggesting that mutagenesis by APOBEC3 enzymes may drive cancer evolution. The APOBEC3-mediated signatures are often detected in subclonal branches of tumor phylogenies and are acquired in cancer cell lines over long periods of time, indicating that APOBEC3 mutagenesis can be ongoing in cancer. Collectively, these and other observations have led to the proposal that APOBEC3 mutagenesis represents a disease-modifying process that could be inhibited to limit tumor heterogeneity, metastasis and drug resistance. However, critical aspects of APOBEC3 biology in cancer and in healthy tissues have not been clearly defined, limiting well-grounded predictions regarding the benefits of inhibiting APOBEC3 mutagenesis in different settings in cancer. We discuss the relevant mechanistic gaps and strategies to address them to investigate whether inhibiting APOBEC3 mutagenesis may confer clinical benefits in cancer.
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Affiliation(s)
- Mia Petljak
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Abby M Green
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Center for Genome Integrity, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John Maciejowski
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew D Weitzman
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Perelman School of Medicine, Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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31
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Hong K, Zhang Y, Yao L, Zhang J, Sheng X, Song L, Guo Y, Guo Y. Pan-cancer analysis of the angiotensin II receptor-associated protein as a prognostic and immunological gene predicting immunotherapy responses in pan-cancer. Front Cell Dev Biol 2022; 10:913684. [PMID: 36060798 PMCID: PMC9437438 DOI: 10.3389/fcell.2022.913684] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/21/2022] [Indexed: 12/03/2022] Open
Abstract
Background: Understanding interior molecular mechanisms of tumorigenesis and cancer progression contributes to antitumor treatments. The angiotensin II receptor-associated protein (AGTRAP) has been confirmed to be related with metabolic products in metabolic diseases and can drive the progression of hepatocellular carcinoma and colon carcinoma. However, functions of AGTRAP in other kinds of cancers are unclear, and a pan-cancer analysis of AGTRAP has not been carried out. Methods and materials: We downloaded data from The Cancer Genome Atlas and Genotype-Tissue Expression dataset and The Human Protein Atlas databases and then used R software (version 4.1.1) and several bioinformatic tools to conduct the analysis. Results: In our study, we evaluated the expression of AGTRAP in cancers, such as high expression in breast cancer, lung adenocarcinoma, and glioma and low expression in kidney chromophobe. Furthermore, our study revealed that high expression of AGTRAP is significantly related with poor prognosis in glioma, liver cancer, kidney chromophobe, and so on. We also explored the putative functional mechanisms of AGTRAP across pan-cancer, such as endoplasmic reticulum pathway, endocytosis pathway, and JAK-STAT signaling pathway. In addition, the connection between AGTRAP and tumor microenvironment, tumor mutation burden, and immune-related genes was proven. Conclusion: Our study provided comprehensive evidence of the roles of AGTRAP in different kinds of cancers and supported the relationship of AGTRAP and tumorous immunity.
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Affiliation(s)
- Kai Hong
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
- Medicine School, Ningbo University, Ningbo, Zhejiang, China
| | - Yingjue Zhang
- Department of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Lingli Yao
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
- Medicine School, Ningbo University, Ningbo, Zhejiang, China
| | - Jiabo Zhang
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
| | - Xianneng Sheng
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
| | - Lihua Song
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
- Medicine School, Ningbo University, Ningbo, Zhejiang, China
| | - Yu Guo
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
- *Correspondence: Yu Guo, ; Yangyang Guo,
| | - Yangyang Guo
- Department of Thyroid and Breast Surgery, Ningbo City First Hospital, Ningbo, Zhejiang, China
- *Correspondence: Yu Guo, ; Yangyang Guo,
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Petljak M, Dananberg A, Chu K, Bergstrom EN, Striepen J, von Morgen P, Chen Y, Shah H, Sale JE, Alexandrov LB, Stratton MR, Maciejowski J. Mechanisms of APOBEC3 mutagenesis in human cancer cells. Nature 2022; 607:799-807. [PMID: 35859169 PMCID: PMC9329121 DOI: 10.1038/s41586-022-04972-y] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 06/13/2022] [Indexed: 02/07/2023]
Abstract
The APOBEC3 family of cytosine deaminases has been implicated in some of the most prevalent mutational signatures in cancer1-3. However, a causal link between endogenous APOBEC3 enzymes and mutational signatures in human cancer genomes has not been established, leaving the mechanisms of APOBEC3 mutagenesis poorly understood. Here, to investigate the mechanisms of APOBEC3 mutagenesis, we deleted implicated genes from human cancer cell lines that naturally generate APOBEC3-associated mutational signatures over time4. Analysis of non-clustered and clustered signatures across whole-genome sequences from 251 breast, bladder and lymphoma cancer cell line clones revealed that APOBEC3A deletion diminished APOBEC3-associated mutational signatures. Deletion of both APOBEC3A and APOBEC3B further decreased APOBEC3 mutation burdens, without eliminating them. Deletion of APOBEC3B increased APOBEC3A protein levels, activity and APOBEC3A-mediated mutagenesis in some cell lines. The uracil glycosylase UNG was required for APOBEC3-mediated transversions, whereas the loss of the translesion polymerase REV1 decreased overall mutation burdens. Together, these data represent direct evidence that endogenous APOBEC3 deaminases generate prevalent mutational signatures in human cancer cells. Our results identify APOBEC3A as the main driver of these mutations, indicate that APOBEC3B can restrain APOBEC3A-dependent mutagenesis while contributing its own smaller mutation burdens and dissect mechanisms that translate APOBEC3 activities into distinct mutational signatures.
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Affiliation(s)
- Mia Petljak
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Alexandra Dananberg
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevan Chu
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erik N Bergstrom
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.,Department of Bioengineering, UC San Diego, La Jolla, CA, USA.,Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Josefine Striepen
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Patrick von Morgen
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanyang Chen
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hina Shah
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julian E Sale
- Division of Protein & Nucleic Acid Chemistry, Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.,Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Hinxton, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.,Department of Bioengineering, UC San Diego, La Jolla, CA, USA.,Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Hinxton, UK.
| | - John Maciejowski
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Qian Y, Gong Y, Zou X, Liu Y, Chen Y, Wang R, Dai Z, Tasiheng Y, Lin X, Wang X, Luo G, Yu X, Cheng H, Liu C. Aberrant APOBEC3C expression induces characteristic genomic instability in pancreatic ductal adenocarcinoma. Oncogenesis 2022; 11:35. [PMID: 35750693 PMCID: PMC9232547 DOI: 10.1038/s41389-022-00411-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 06/08/2022] [Accepted: 06/13/2022] [Indexed: 11/12/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a well-known lethal and heterogeneous disease. Apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like (APOBEC) is an important mutagenic driver that has seldom been investigated in PDAC. Therefore, this study investigated the significance of APOBEC3C in PDAC. First, cytosine deamination-associated mutation signatures were identified in the PDAC cohorts from TCGA and Fudan University Shanghai Cancer Center (FUSCC) datasets, and C > X-enriched kataegis regions were identified in the FUSCC cohort (12 to 27 counts per sample). Patients were stratified according to APOBEC3C expression, and high APOBEC3C expression was found to correlate with a higher motif enrichment score of 5’-CC-3’ and an elevated kataegis count within PCSK5 and NES genes. Second, we compared APOBEC expression in PDAC and normal pancreatic tissues and found that APOBEC3C was substantially upregulated in PDAC. APOBEC3C-overexpressing cell lines were generated to substantiate the effects of APOBEC3C on PDAC genome, including alterations in single-nucleotide variant (SNV) classes (higher proportion of C > T conversions) and the formation of kataegis regions (newly occurring kataegis regions detected in ACHE and MUC6 genes). Three different PDAC cohorts (FUSCC, TCGA, and QCMG) were analysed to evaluate the prognostic value of APOBEC3C, and APOBEC3C overexpression predicted shorter survival. Finally, the APOBEC3C overexpression correalted with the PDAC tumour microenvironment (TME) remodelling, APOBEC3C expression was associated with the invasion of CD4 + T lymphocytes and CD8 + T lymphocytes (cytotoxic T lymphocytes, CTLs), indicating enhanced immune activity and validating the practicality of APOBEC3C for guiding immunotherapy.
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Affiliation(s)
- Yunzhen Qian
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Yitao Gong
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Xuan Zou
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Yu Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Yusheng Chen
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Ruijie Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Zhengjie Dai
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Yesiboli Tasiheng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Xuan Lin
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Xu Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Guopei Luo
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China. .,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China.
| | - He Cheng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China. .,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China.
| | - Chen Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China. .,Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, 200032, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, 200032, Shanghai, China.
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Levatić J, Salvadores M, Fuster-Tormo F, Supek F. Mutational signatures are markers of drug sensitivity of cancer cells. Nat Commun 2022; 13:2926. [PMID: 35614096 PMCID: PMC9132939 DOI: 10.1038/s41467-022-30582-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 05/09/2022] [Indexed: 02/06/2023] Open
Abstract
Genomic analyses have revealed mutational footprints associated with DNA maintenance gone awry, or with mutagen exposures. Because cancer therapeutics often target DNA synthesis or repair, we asked if mutational signatures make useful markers of drug sensitivity. We detect mutational signatures in cancer cell line exomes (where matched healthy tissues are not available) by adjusting for the confounding germline mutation spectra across ancestries. We identify robust associations between various mutational signatures and drug activity across cancer cell lines; these are as numerous as associations with established genetic markers such as driver gene alterations. Signatures of prior exposures to DNA damaging agents – including chemotherapy – tend to associate with drug resistance, while signatures of deficiencies in DNA repair tend to predict sensitivity towards particular therapeutics. Replication analyses across independent drug and CRISPR genetic screening data sets reveal hundreds of robust associations, which are provided as a resource for drug repurposing guided by mutational signature markers. Mutational signatures can reveal the impact of mutagenic processes in cancer, including exposure to therapy. Here, the authors develop an approach that can accurately predict drug responses in cancer using mutational signatures while simultaneously correcting for germline variants with an ancestry matching procedure.
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Affiliation(s)
- Jurica Levatić
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, C/ Baldiri Reixac 10, 08028, Barcelona, Spain
| | - Marina Salvadores
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, C/ Baldiri Reixac 10, 08028, Barcelona, Spain
| | - Francisco Fuster-Tormo
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, C/ Baldiri Reixac 10, 08028, Barcelona, Spain.,MDS Group, Josep Carreras Leukaemia Research Institute, Ctra de Can Ruti, Camí de les Escoles s/n, 08916, Badalona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, C/ Baldiri Reixac 10, 08028, Barcelona, Spain. .,Catalan Institution for Research and Advanced Studies (ICREA), Passeig de Lluís Companys 23, 08010, Barcelona, Spain.
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35
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Bergstrom EN, Kundu M, Tbeileh N, Alexandrov LB. Examining clustered somatic mutations with SigProfilerClusters. Bioinformatics 2022; 38:3470-3473. [PMID: 35595234 PMCID: PMC9237733 DOI: 10.1093/bioinformatics/btac335] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/18/2022] [Accepted: 05/16/2022] [Indexed: 12/16/2022] Open
Abstract
MOTIVATION Clustered mutations are found in the human germline as well as in the genomes of cancer and normal somatic cells. Clustered events can be imprinted by a multitude of mutational processes, and they have been implicated in both cancer evolution and development disorders. Existing tools for identifying clustered mutations have been optimized for a particular subtype of clustered event and, in most cases, relied on a predefined inter-mutational distance (IMD) cutoff combined with a piecewise linear regression analysis. RESULTS Here, we present SigProfilerClusters, an automated tool for detecting all types of clustered mutations by calculating a sample-dependent IMD threshold using a simulated background model that takes into account extended sequence context, transcriptional strand asymmetries and regional mutation densities. SigProfilerClusters disentangles all types of clustered events from non-clustered mutations and annotates each clustered event into an established subclass, including the widely used classes of doublet-base substitutions, multi-base substitutions, omikli and kataegis. SigProfilerClusters outputs non-clustered mutations and clustered events using standard data formats as well as provides multiple visualizations for exploring the distributions and patterns of clustered mutations across the genome. AVAILABILITY AND IMPLEMENTATION SigProfilerClusters is supported across most operating systems and made freely available at https://github.com/AlexandrovLab/SigProfilerClusters with an extensive documentation located at https://osf.io/qpmzw/wiki/home/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | - Mousumy Kundu
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA,Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA,Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Noura Tbeileh
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA,Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA,Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
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36
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Transcription Factor-Centric Approach to Identify Non-Recurring Putative Regulatory Drivers in Cancer. RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY : ... ANNUAL INTERNATIONAL CONFERENCE, RECOMB ... : PROCEEDINGS. RECOMB (CONFERENCE : 2005- ) 2022; 13278:36-51. [PMID: 36507923 PMCID: PMC9740185 DOI: 10.1007/978-3-031-04749-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Recent efforts to sequence the genomes of thousands of matched normal-tumor samples have led to the identification of millions of somatic mutations, the majority of which are non-coding. Most of these mutations are believed to be passengers, but a small number of non-coding mutations could contribute to tumor initiation or progression, e.g. by leading to dysregulation of gene expression. Efforts to identify putative regulatory drivers rely primarily on information about the recurrence of mutations across tumor samples. However, in regulatory regions of the genome, individual mutations are rarely seen in more than one donor. Instead of using recurrence information, here we present a method to identify putative regulatory driver mutations based on the magnitude of their effects on transcription factor-DNA binding. For each gene, we integrate the effects of mutations across all its regulatory regions, and we ask whether these effects are larger than expected by chance, given the mutation spectra observed in regulatory DNA in the cohort of interest. We applied our approach to analyze mutations in a liver cancer data set with ample somatic mutation and gene expression data available. By combining the effects of mutations across all regulatory regions of each gene, we identified dozens of genes whose regulation in tumor cells is likely to be significantly perturbed by non-coding mutations. Overall, our results show that focusing on the functional effects of non-coding mutations, rather than their recurrence, has the potential to identify putative regulatory drivers and the genes they dysregulate in tumor cells.
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37
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DeWeerd RA, Németh E, Póti Á, Petryk N, Chen CL, Hyrien O, Szüts D, Green AM. Prospectively defined patterns of APOBEC3A mutagenesis are prevalent in human cancers. Cell Rep 2022; 38:110555. [PMID: 35320711 PMCID: PMC9283007 DOI: 10.1016/j.celrep.2022.110555] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 12/15/2021] [Accepted: 03/02/2022] [Indexed: 12/14/2022] Open
Abstract
Mutational signatures defined by single base substitution (SBS) patterns in cancer have elucidated potential mutagenic processes that contribute to malignancy. Two prevalent mutational patterns in human cancers are attributed to the APOBEC3 cytidine deaminase enzymes. Among the seven human APOBEC3 proteins, APOBEC3A is a potent deaminase and proposed driver of cancer mutagenesis. In this study, we prospectively examine genome-wide aberrations by expressing human APOBEC3A in avian DT40 cells. From whole-genome sequencing, we detect hundreds to thousands of base substitutions per genome. The APOBEC3A signature includes widespread cytidine mutations and a unique insertion-deletion (indel) signature consisting largely of cytidine deletions. This multi-dimensional APOBEC3A signature is prevalent in human cancer genomes. Our data further reveal replication-associated mutations, the rate of stem-loop and clustered mutations, and deamination of methylated cytidines. This comprehensive signature of APOBEC3A mutagenesis is a tool for future studies and a potential biomarker for APOBEC3 activity in cancer.
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Affiliation(s)
- Rachel A DeWeerd
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Eszter Németh
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Ádám Póti
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Nataliya Petryk
- Epigenetics & Cell Fate UMR7216, CNRS, University of Paris, 35 rue Hélène Brion, 75013 Paris, France
| | - Chun-Long Chen
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information, Paris, France
| | - Olivier Hyrien
- Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 46 rue d'Ulm, 75005 Paris, France
| | - Dávid Szüts
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
| | - Abby M Green
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA; Center for Genome Integrity, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
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38
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Spectrum of DNA mismatch repair failures viewed through the lens of cancer genomics and implications for therapy. Clin Sci (Lond) 2022; 136:383-404. [PMID: 35274136 PMCID: PMC8919091 DOI: 10.1042/cs20210682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/02/2022] [Accepted: 02/28/2022] [Indexed: 12/15/2022]
Abstract
Genome sequencing can be used to detect DNA repair failures in tumors and learn about underlying mechanisms. Here, we synthesize findings from genomic studies that examined deficiencies of the DNA mismatch repair (MMR) pathway. The impairment of MMR results in genome-wide hypermutation and in the ‘microsatellite instability’ (MSI) phenotype—occurrence of indel mutations at short tandem repeat (microsatellite) loci. The MSI status of tumors was traditionally assessed by molecular testing of a selected set of MS loci or by measuring MMR protein expression levels. Today, genomic data can provide a more complete picture of the consequences on genomic instability. Multiple computational studies examined somatic mutation distributions that result from failed DNA repair pathways in tumors. These include analyzing the commonly studied trinucleotide mutational spectra of single-nucleotide variants (SNVs), as well as of other features such as indels, structural variants, mutation clusters and regional mutation rate redistribution. The identified mutation patterns can be used to rigorously measure prevalence of MMR failures across cancer types, and potentially to subcategorize the MMR deficiencies. Diverse data sources, genomic and pre-genomic, from human and from experimental models, suggest there are different ways in which MMR can fail, and/or that the cell-type or genetic background may result in different types of MMR mutational patterns. The spectrum of MMR failures may direct cancer evolution, generating particular sets of driver mutations. Moreover, MMR affects outcomes of therapy by DNA damaging drugs, antimetabolites, nonsense-mediated mRNA decay (NMD) inhibitors, and immunotherapy by promoting either resistance or sensitivity, depending on the type of therapy.
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Chu XD, Lin ZB, Huang T, Ding H, Zhang YR, Zhao Z, Huangfu SC, Qiu SH, Guo YG, Chu XL, Pan JH, Pan YL. Thrombospondin-2 holds prognostic value and is associated with metastasis and the mismatch repair process in gastric cancer. BMC Cancer 2022; 22:250. [PMID: 35255858 PMCID: PMC8900425 DOI: 10.1186/s12885-022-09201-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 01/12/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND This study aims to investigate thrombospondin 2 (TSP2) expression levels in gastric cancer (GC) and determine the relationship between TSP2 and clinical characteristics and prognosis. METHODS The online database Gene Expression Profile Interactive Analysis (GEPIA) was used to analyse TSP2 mRNA expression levels in GC. The Kaplan-Meier plotter prognostic analysis tool was used to evaluate the influence of TSP2 expression on clinical prognosis in GC patients. TSP2 expression levels were analysed in paraffin-embedded GC samples and adjacent normal tissues by immunohistochemistry. The relationship between the clinicopathological characteristics and prognosis of GC patients was assessed. Transwell experiments were used to evaluate the effect of TSP2 on HGC27 and AGS cell invasion and migration. The EdU experiment was used to detect the effect of transfection of TSP2 on cell proliferation, and the flow cytometry experiment was used to detect the effect of TSP2 on cell apoptosis and the cell growth cycle. Western blotting (Wb) technology was used to detect MMP, E-cadherin, N-cadherin, Vimentin, Snail, AKT, PI3K, and VEGF protein expression in HGC27 cells. RESULTS Compared with normal tissues, TSP2 mRNA expression in GC was significantly upregulated and was closely related to the clinical stage of GC. High TSP2 expression significantly affected the OS, FP and PPS of patients with GC. Among these patients, TSP2 expression levels did not affect the prognosis of patients with GC in the N0 subgroup but significantly affected the prognosis of patients with GC in the N (1 + 2 + 3) subgroup. TSP2 protein expression levels were significantly higher in GC tissue compared with normal tissues (P < 0.01). The overall survival (OS) and relapse-free survival (RFS) of patients with high TSP2 expression were lower than those of patients with low TSP2 expression. Cells transfected with the TSP2-silencing sequence exhibited increased apoptosis and inhibition of proliferation, migration and invasion. AKT and PI3K expression in cells was significantly downregulated (P < 0.01). AKT, PI3K and VEGF expression in cells transfected with the TSP2 silencing sequence was significantly reduced. Proliferation, migration, invasion ability, and TSP2 expression levels significantly correlated with mismatch repair genes, such as PMS2, MSH6, MSH2, and MLH1 (P < 0.05). CONCLUSION TSP2 expression is significantly increased in GC. TSP2 expression is closely related to metastasis and the mismatch repair process in GC patients and affects GC patient prognosis. The mechanism may involve regulating gastric cancer cell proliferation and migration by modulating the VEGF/PI3K/AKT signalling pathway. TSP2 is a potential marker and therapeutic target for the prognosis of GC patients.
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Affiliation(s)
- Xiao-Dong Chu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Zheng-Bin Lin
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Ting Huang
- Department of Clinical Pathology, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Hui Ding
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Yi-Ran Zhang
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Zhan Zhao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Shu-Chen Huangfu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Sheng-Hui Qiu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Yan-Guan Guo
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
| | - Xiao-Li Chu
- Guangdong Provincial Key laboratory of Chinese Medicine for Prevention and Treatment of Refractory Chronic Diseases, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China
| | - Jing-Hua Pan
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China.
| | - Yun-Long Pan
- Department of General Surgery, The First Affiliated Hospital of Jinan University, 613 Huangpu West Avenue, Guangzhou, Guangdong, 510632, China
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Bergstrom EN, Luebeck J, Petljak M, Khandekar A, Barnes M, Zhang T, Steele CD, Pillay N, Landi MT, Bafna V, Mischel PS, Harris RS, Alexandrov LB. Mapping clustered mutations in cancer reveals APOBEC3 mutagenesis of ecDNA. Nature 2022; 602:510-517. [PMID: 35140399 PMCID: PMC8850194 DOI: 10.1038/s41586-022-04398-6] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 01/04/2022] [Indexed: 12/28/2022]
Abstract
Clustered somatic mutations are common in cancer genomes and previous analyses reveal several types of clustered single-base substitutions, which include doublet- and multi-base substitutions1-5, diffuse hypermutation termed omikli6, and longer strand-coordinated events termed kataegis3,7-9. Here we provide a comprehensive characterization of clustered substitutions and clustered small insertions and deletions (indels) across 2,583 whole-genome-sequenced cancers from 30 types of cancer10. Clustered mutations were highly enriched in driver genes and associated with differential gene expression and changes in overall survival. Several distinct mutational processes gave rise to clustered indels, including signatures that were enriched in tobacco smokers and homologous-recombination-deficient cancers. Doublet-base substitutions were caused by at least 12 mutational processes, whereas most multi-base substitutions were generated by either tobacco smoking or exposure to ultraviolet light. Omikli events, which have previously been attributed to APOBEC3 activity6, accounted for a large proportion of clustered substitutions; however, only 16.2% of omikli matched APOBEC3 patterns. Kataegis was generated by multiple mutational processes, and 76.1% of all kataegic events exhibited mutational patterns that are associated with the activation-induced deaminase (AID) and APOBEC3 family of deaminases. Co-occurrence of APOBEC3 kataegis and extrachromosomal DNA (ecDNA), termed kyklonas (Greek for cyclone), was found in 31% of samples with ecDNA. Multiple distinct kyklonic events were observed on most mutated ecDNA. ecDNA containing known cancer genes exhibited both positive selection and kyklonic hypermutation. Our results reveal the diversity of clustered mutational processes in human cancer and the role of APOBEC3 in recurrently mutating and fuelling the evolution of ecDNA.
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Affiliation(s)
- Erik N Bergstrom
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Jens Luebeck
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Mia Petljak
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Mark Barnes
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher D Steele
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | - Nischalan Pillay
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- ChEM-H, Stanford University, Stanford, CA, USA
| | - Reuben S Harris
- Howard Hughes Medical Institute, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Institute for Molecular Virology, University of Minnesota, Minneapolis, MN, USA
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
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Karolak A, Levatić J, Supek F. A framework for mutational signature analysis based on DNA shape parameters. PLoS One 2022; 17:e0262495. [PMID: 35015788 PMCID: PMC8752002 DOI: 10.1371/journal.pone.0262495] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/27/2021] [Indexed: 11/18/2022] Open
Abstract
The mutation risk of a DNA locus depends on its oligonucleotide context. In turn, mutability of oligonucleotides varies across individuals, due to exposure to mutagenic agents or due to variable efficiency and/or accuracy of DNA repair. Such variability is captured by mutational signatures, a mathematical construct obtained by a deconvolution of mutation frequency spectra across individuals. There is a need to enhance methods for inferring mutational signatures to make better use of sparse mutation data (e.g., resulting from exome sequencing of cancers), to facilitate insight into underlying biological mechanisms, and to provide more accurate mutation rate baselines for inferring positive and negative selection. We propose a conceptualization of mutational signatures that represents oligonucleotides via descriptors of DNA conformation: base pair, base pair step, and minor groove width parameters. We demonstrate how such DNA structural parameters can accurately predict mutation occurrence due to DNA repair failures or due to exposure to diverse mutagens such as radiation, chemical exposure, and the APOBEC cytosine deaminase enzymes. Furthermore, the mutation frequency of DNA oligomers classed by structural features can accurately capture systematic variability in mutagenesis of >1,000 tumors originating from diverse human tissues. A nonnegative matrix factorization was applied to mutation spectra stratified by DNA structural features, thereby extracting novel mutational signatures. Moreover, many of the known trinucleotide signatures were associated with an additional spectrum in the DNA structural descriptor space, which may aid interpretation and provide mechanistic insight. Overall, we suggest that the power of DNA sequence motif-based mutational signature analysis can be enhanced by drawing on DNA shape features.
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Affiliation(s)
- Aleksandra Karolak
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Population Sciences and Department of Computational and Quantitative Medicine, Division of Mathematical Oncology, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Jurica Levatić
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
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Yaacov A, Vardi O, Blumenfeld B, Greenberg A, Massey DJ, Koren A, Adar S, Simon I, Rosenberg S. Cancer Mutational Processes Vary in Their Association with Replication Timing and Chromatin Accessibility. Cancer Res 2021; 81:6106-6116. [PMID: 34702725 DOI: 10.1158/0008-5472.can-21-2039] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/15/2021] [Accepted: 10/19/2021] [Indexed: 11/16/2022]
Abstract
Cancer somatic mutations are the product of multiple mutational and repair processes, both of which are tightly associated with DNA replication. Distinctive patterns of somatic mutation accumulation, termed mutational signatures, are indicative of processes sustained within tumors. However, the association of various mutational processes with replication timing (RT) remains an open question. In this study, we systematically analyzed the mutational landscape of 2,787 tumors from 32 tumor types separately for early and late replicating regions using sequence context normalization and chromatin data to account for sequence and chromatin accessibility differences. To account for sequence differences between various genomic regions, an artificial genome-based approach was developed to expand the signature analyses to doublet base substitutions and small insertions and deletions. The association of mutational processes and RT was signature specific: Some signatures were associated with early or late replication (such as SBS7b and SBS7a, respectively), and others had no association. Most associations existed even after normalizing for genome accessibility. A focused mutational signature identification approach was also developed that uses RT information to improve signature identification; this approach found that SBS16, which is biased toward early replication, is strongly associated with better survival rates in liver cancer. Overall, this novel and comprehensive approach provides a better understanding of the etiology of mutational signatures, which may lead to improved cancer prevention, diagnosis, and treatment. SIGNIFICANCE: Many mutational processes associate with early or late replication timing regions independently of chromatin accessibility, enabling development of a focused identification approach to improve mutational signature detection.
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Affiliation(s)
- Adar Yaacov
- The Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.,The Wohl Institute for Translational Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.,Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Oriya Vardi
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Britny Blumenfeld
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Avraham Greenberg
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dashiell J Massey
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York
| | - Amnon Koren
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York
| | - Sheera Adar
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Itamar Simon
- Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Shai Rosenberg
- The Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hebrew University-Hadassah Medical Center, Jerusalem, Israel. .,The Wohl Institute for Translational Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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43
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Zhang Y, Chen X, Cao Y, Yang Z. Roles of APOBEC3 in hepatitis B virus (HBV) infection and hepatocarcinogenesis. Bioengineered 2021; 12:2074-2086. [PMID: 34043485 PMCID: PMC8806738 DOI: 10.1080/21655979.2021.1931640] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 02/08/2023] Open
Abstract
APOBEC3 (A3) cytidine deaminases inhibit hepatitis B virus (HBV) infection and play vital roles in maintaining a variety of biochemical processes, including the regulation of protein expression and innate immunity. Emerging evidence indicates that the deaminated deoxycytidine biochemical activity of A3 proteins in single-stranded DNA makes them a double-edged sword. These enzymes can cause cellular genetic mutations at replication forks or within transcription bubbles, depending on the physiological state of the cell and the phase of the cell cycle. Under pathological conditions, aberrant expression of A3 genes with improper deaminase activity regulation may threaten genomic stability and eventually lead to cancer development. This review attempted to summarize the antiviral activities and underlying mechanisms of A3 editing enzymes in HBV infections. Moreover, the correlations between A3 genes and hepatocarcinogenesis were also elucidated.
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Affiliation(s)
- Yuan Zhang
- Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xiaorong Chen
- Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yajuan Cao
- Central Laboratory, Shanghai Pulmonary HospitalSchool of Medicine, Tongji University School of Medicine, Shanghai, China
- Clinical Translation Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zongguo Yang
- Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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44
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Aksenova AY, Zhuk AS, Lada AG, Zotova IV, Stepchenkova EI, Kostroma II, Gritsaev SV, Pavlov YI. Genome Instability in Multiple Myeloma: Facts and Factors. Cancers (Basel) 2021; 13:5949. [PMID: 34885058 PMCID: PMC8656811 DOI: 10.3390/cancers13235949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Affiliation(s)
- Anna Y. Aksenova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna S. Zhuk
- International Laboratory “Computer Technologies”, ITMO University, 197101 St. Petersburg, Russia;
| | - Artem G. Lada
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA;
| | - Irina V. Zotova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Elena I. Stepchenkova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Ivan I. Kostroma
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Sergey V. Gritsaev
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Departments of Biochemistry and Molecular Biology, Microbiology and Pathology, Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
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45
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Moody S, Senkin S, Islam SMA, Wang J, Nasrollahzadeh D, Cortez Cardoso Penha R, Fitzgerald S, Bergstrom EN, Atkins J, He Y, Khandekar A, Smith-Byrne K, Carreira C, Gaborieau V, Latimer C, Thomas E, Abnizova I, Bucciarelli PE, Jones D, Teague JW, Abedi-Ardekani B, Serra S, Scoazec JY, Saffar H, Azmoudeh-Ardalan F, Sotoudeh M, Nikmanesh A, Poustchi H, Niavarani A, Gharavi S, Eden M, Richman P, Campos LS, Fitzgerald RC, Ribeiro LF, Soares-Lima SC, Dzamalala C, Mmbaga BT, Shibata T, Menya D, Goldstein AM, Hu N, Malekzadeh R, Fazel A, McCormack V, McKay J, Perdomo S, Scelo G, Chanudet E, Humphreys L, Alexandrov LB, Brennan P, Stratton MR. Mutational signatures in esophageal squamous cell carcinoma from eight countries with varying incidence. Nat Genet 2021; 53:1553-1563. [PMID: 34663923 DOI: 10.1038/s41588-021-00928-6] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 07/28/2021] [Indexed: 12/28/2022]
Abstract
Esophageal squamous cell carcinoma (ESCC) shows remarkable variation in incidence that is not fully explained by known lifestyle and environmental risk factors. It has been speculated that an unknown exogenous exposure(s) could be responsible. Here we combine the fields of mutational signature analysis with cancer epidemiology to study 552 ESCC genomes from eight countries with varying incidence rates. Mutational profiles were similar across all countries studied. Associations between specific mutational signatures and ESCC risk factors were identified for tobacco, alcohol, opium and germline variants, with modest impacts on mutation burden. We find no evidence of a mutational signature indicative of an exogenous exposure capable of explaining differences in ESCC incidence. Apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like (APOBEC)-associated mutational signatures single-base substitution (SBS)2 and SBS13 were present in 88% and 91% of cases, respectively, and accounted for 25% of the mutation burden on average, indicating that APOBEC activation is a crucial step in ESCC tumor development.
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Affiliation(s)
- Sarah Moody
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Sergey Senkin
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - S M Ashiqul Islam
- Moores Cancer Centre, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California, La Jolla, CA, USA
- Department of Bioengineering, University of California, La Jolla, CA, USA
| | - Jingwei Wang
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Dariush Nasrollahzadeh
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | | | - Stephen Fitzgerald
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Erik N Bergstrom
- Moores Cancer Centre, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California, La Jolla, CA, USA
- Department of Bioengineering, University of California, La Jolla, CA, USA
| | - Joshua Atkins
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Yudou He
- Moores Cancer Centre, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California, La Jolla, CA, USA
- Department of Bioengineering, University of California, La Jolla, CA, USA
| | - Azhar Khandekar
- Moores Cancer Centre, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California, La Jolla, CA, USA
- Department of Bioengineering, University of California, La Jolla, CA, USA
| | - Karl Smith-Byrne
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Christine Carreira
- Evidence Synthesis and Classification Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Valerie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Calli Latimer
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Emily Thomas
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Irina Abnizova
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Pauline E Bucciarelli
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - David Jones
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jon W Teague
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Behnoush Abedi-Ardekani
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Jean-Yves Scoazec
- Department Laboratory Medicine and Pathology, Gustave Roussy, Paris, France
| | - Hiva Saffar
- Department of Pathology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farid Azmoudeh-Ardalan
- Liver Transplantation Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoud Sotoudeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Arash Nikmanesh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Hossein Poustchi
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Ahmadreza Niavarani
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Samad Gharavi
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Michael Eden
- Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Paul Richman
- Histopathology Department, Hemel Hempstead General Hospital, Hemel Hempstead, UK
| | - Lia S Campos
- West Suffolk NHS Foundation Trust, Bury St Edmunds, UK
| | | | | | | | | | - Blandina Theophil Mmbaga
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre & Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Centre Research Institute, Tokyo, Japan
| | | | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Shariati Hospital, Tehran, Iran
| | - Abdolreza Fazel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Valerie McCormack
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Sandra Perdomo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ghislaine Scelo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Estelle Chanudet
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Laura Humphreys
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Ludmil B Alexandrov
- Moores Cancer Centre, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California, La Jolla, CA, USA
- Department of Bioengineering, University of California, La Jolla, CA, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
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46
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Wen J, Wang Y, Yuan M, Huang Z, Zou Q, Pu Y, Zhao B, Cai Z. Role of mismatch repair in aging. Int J Biol Sci 2021; 17:3923-3935. [PMID: 34671209 PMCID: PMC8495402 DOI: 10.7150/ijbs.64953] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/07/2021] [Indexed: 01/10/2023] Open
Abstract
A common feature of aging is the accumulation of genetic damage throughout life. DNA damage can lead to genomic instability. Many diseases associated with premature aging are a result of increased accumulation of DNA damage. In order to minimize these damages, organisms have evolved a complex network of DNA repair mechanisms, including mismatch repair (MMR). In this review, we detail the effects of MMR on genomic instability and its role in aging emphasizing on the association between MMR and the other hallmarks of aging, serving to drive or amplify these mechanisms. These hallmarks include telomere attrition, epigenetic alterations, mitochondrial dysfunction, altered nutrient sensing and cell senescence. The close relationship between MMR and these markers may provide prevention and treatment strategies, to reduce the incidence of age-related diseases and promote the healthy aging of human beings.
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Affiliation(s)
- Jie Wen
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China.,Department and Institute of Neurology, Guangdong Medical University, Guangdong, 524001, China.,Guangdong Key Laboratory of aging related cardio cerebral diseases, Guangdong, 524001, China
| | - Yangyang Wang
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
| | - Minghao Yuan
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
| | - Zhenting Huang
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
| | - Qian Zou
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
| | - Yinshuang Pu
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
| | - Bin Zhao
- Department and Institute of Neurology, Guangdong Medical University, Guangdong, 524001, China.,Guangdong Key Laboratory of aging related cardio cerebral diseases, Guangdong, 524001, China
| | - Zhiyou Cai
- Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, China.,Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, China
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47
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Wojtowicz D, Hoinka J, Amgalan B, Kim YA, Przytycka TM. RepairSig: Deconvolution of DNA damage and repair contributions to the mutational landscape of cancer. Cell Syst 2021; 12:994-1003.e4. [PMID: 34375586 DOI: 10.1016/j.cels.2021.07.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 07/06/2021] [Accepted: 07/14/2021] [Indexed: 01/05/2023]
Abstract
Cancer genomes accumulate a large number of somatic mutations resulting from a combination of stochastic errors in DNA processing, cancer-related aberrations of the DNA repair machinery, or carcinogenic exposures; each mutagenic process leaves a characteristic mutational signature. A key challenge is understanding the interactions between signatures, particularly as DNA repair deficiencies often modify the effects of other mutagens. Here, we introduce RepairSig, a computational method that explicitly models additive primary mutagenic processes; non-additive secondary processes, which interact with the primary processes; and a mutation opportunity, that is, the distribution of sites across the genome that are vulnerable to damage or preferentially repaired. We demonstrate that RepairSig accurately recapitulates experimentally identified signatures, identifies autonomous signatures of deficient DNA repair processes, and explains mismatch repair deficiency in breast cancer by de novo inference of both primary and secondary signatures from patient data. RepairSig is freely available for download at https://github.com/ncbi/RepairSig.
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Affiliation(s)
- Damian Wojtowicz
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
| | - Jan Hoinka
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Bayarbaatar Amgalan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Yoo-Ah Kim
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Teresa M Przytycka
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
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48
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APOBECs orchestrate genomic and epigenomic editing across health and disease. Trends Genet 2021; 37:1028-1043. [PMID: 34353635 DOI: 10.1016/j.tig.2021.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 07/03/2021] [Accepted: 07/05/2021] [Indexed: 12/17/2022]
Abstract
APOBEC proteins can deaminate cytosine residues in DNA and RNA. This can lead to somatic mutations, DNA breaks, RNA modifications, or DNA demethylation in a selective manner. APOBECs function in various cellular compartments and recognize different nucleic acid motifs and structures. They orchestrate a wide array of genomic and epigenomic modifications, thereby affecting various cellular functions positively or negatively, including immune editing, viral and retroelement restriction, DNA damage responses, DNA demethylation, gene expression, and tissue homeostasis. Furthermore, the cumulative increase in genomic and epigenomic editing with aging could also, at least in part, be attributed to APOBEC function. We synthesize our cumulative understanding of APOBEC activity in a unifying overview and discuss their genomic and epigenomic impact in physiological, pathological, and technological contexts.
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49
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Biayna J, Garcia-Cao I, Álvarez MM, Salvadores M, Espinosa-Carrasco J, McCullough M, Supek F, Stracker TH. Loss of the abasic site sensor HMCES is synthetic lethal with the activity of the APOBEC3A cytosine deaminase in cancer cells. PLoS Biol 2021; 19:e3001176. [PMID: 33788831 PMCID: PMC8041192 DOI: 10.1371/journal.pbio.3001176] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 04/12/2021] [Accepted: 03/08/2021] [Indexed: 12/26/2022] Open
Abstract
Analysis of cancer mutagenic signatures provides information about the origin of mutations and can inform the use of clinical therapies, including immunotherapy. In particular, APOBEC3A (A3A) has emerged as a major driver of mutagenesis in cancer cells, and its expression results in DNA damage and susceptibility to treatment with inhibitors of the ATR and CHK1 checkpoint kinases. Here, we report the implementation of CRISPR/Cas-9 genetic screening to identify susceptibilities of multiple A3A-expressing lung adenocarcinoma (LUAD) cell lines. We identify HMCES, a protein recently linked to the protection of abasic sites, as a central protein for the tolerance of A3A expression. HMCES depletion results in synthetic lethality with A3A expression preferentially in a TP53-mutant background. Analysis of previous screening data reveals a strong association between A3A mutational signatures and sensitivity to HMCES loss and indicates that HMCES is specialized in protecting against a narrow spectrum of DNA damaging agents in addition to A3A. We experimentally show that both HMCES disruption and A3A expression increase susceptibility of cancer cells to ionizing radiation (IR), oxidative stress, and ATR inhibition, strategies that are often applied in tumor therapies. Overall, our results suggest that HMCES is an attractive target for selective treatment of A3A-expressing tumors.
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Affiliation(s)
- Josep Biayna
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Isabel Garcia-Cao
- Genomic Instability and Cancer, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Miguel M. Álvarez
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marina Salvadores
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Jose Espinosa-Carrasco
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marcel McCullough
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
- * E-mail: (FS); (THS)
| | - Travis H. Stracker
- Genomic Instability and Cancer, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- National Cancer Institute, Center for Cancer Research, Radiation Oncology Branch, Bethesda, Maryland, United States of America
- * E-mail: (FS); (THS)
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50
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Díaz-Gay M, Alexandrov LB. Unraveling the genomic landscape of colorectal cancer through mutational signatures. Adv Cancer Res 2021; 151:385-424. [PMID: 34148618 DOI: 10.1016/bs.acr.2021.03.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Colorectal cancer, along with most other cancer types, is driven by somatic mutations. Characteristic patterns of somatic mutations, known as mutational signatures, arise as a result of the activities of different mutational processes. Mutational signatures have diverse origins, including exogenous and endogenous sources. In the case of colorectal cancer, the analysis of mutational signatures has elucidated specific signatures for classically associated DNA repair deficiencies, namely mismatch repair (leading to microsatellite instability), base excision repair (due to MUTYH or NTHL1 mutations), and polymerase proofreading (due to POLE and POLD1 exonuclease domain mutations). Additional signatures also play a role in colorectal cancer, including those related to normal aging and those associated with gut microbiota, as well as a number of signatures with unknown etiologies. This chapter provides an overview of the current knowledge of mutational signatures, with a focus on colorectal cancer and on the recently reported signatures in physiologically normal and inflammatory bowel disease-affected somatic colon tissues.
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Affiliation(s)
- Marcos Díaz-Gay
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, United States; Department of Bioengineering, UC San Diego, La Jolla, CA, United States; Moores Cancer Center, UC San Diego, La Jolla, CA, United States
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, United States; Department of Bioengineering, UC San Diego, La Jolla, CA, United States; Moores Cancer Center, UC San Diego, La Jolla, CA, United States.
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