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Minati R, Perreault C, Thibault P. A Roadmap Toward the Definition of Actionable Tumor-Specific Antigens. Front Immunol 2020; 11:583287. [PMID: 33424836 PMCID: PMC7793940 DOI: 10.3389/fimmu.2020.583287] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/30/2020] [Indexed: 12/15/2022] Open
Abstract
The search for tumor-specific antigens (TSAs) has considerably accelerated during the past decade due to the improvement of proteogenomic detection methods. This provides new opportunities for the development of novel antitumoral immunotherapies to mount an efficient T cell response against one or multiple types of tumors. While the identification of mutated antigens originating from coding exons has provided relatively few TSA candidates, the possibility of enlarging the repertoire of targetable TSAs by looking at antigens arising from non-canonical open reading frames opens up interesting avenues for cancer immunotherapy. In this review, we outline the potential sources of TSAs and the mechanisms responsible for their expression strictly in cancer cells. In line with the heterogeneity of cancer, we propose that discrete families of TSAs may be enriched in specific cancer types.
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Affiliation(s)
- Robin Minati
- École Normale Supérieure de Lyon, Université Claude Bernard Lyon I, Université de Lyon, Lyon, France
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC, Canada
- Department of Chemistry, Université de Montréal, Montréal, QC, Canada
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2
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Jayasinghe RG, Cao S, Gao Q, Wendl MC, Vo NS, Reynolds SM, Zhao Y, Climente-González H, Chai S, Wang F, Varghese R, Huang M, Liang WW, Wyczalkowski MA, Sengupta S, Li Z, Payne SH, Fenyö D, Miner JH, Walter MJ, Vincent B, Eyras E, Chen K, Shmulevich I, Chen F, Ding L. Systematic Analysis of Splice-Site-Creating Mutations in Cancer. Cell Rep 2019; 23:270-281.e3. [PMID: 29617666 PMCID: PMC6055527 DOI: 10.1016/j.celrep.2018.03.052] [Citation(s) in RCA: 144] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 02/21/2018] [Accepted: 03/13/2018] [Indexed: 12/31/2022] Open
Abstract
For the past decade, cancer genomic studies have focused on mutations leading to splice-site disruption, overlooking those having splice-creating potential. Here, we applied a bioinformatic tool, MiSplice, for the large-scale discovery of splice-site-creating mutations (SCMs) across 8,656 TCGA tumors. We report 1,964 originally mis-annotated mutations having clear evidence of creating alternative splice junctions. TP53 and GATA3 have 26 and 18 SCMs, respectively, and ATRX has 5 from lower-grade gliomas. Mutations in 11 genes, including PARP1, BRCA1, and BAP1, were experimentally validated for splice-site-creating function. Notably, we found that neoantigens induced by SCMs are likely several folds more immunogenic compared to missense mutations, exemplified by the recurrent GATA3 SCM. Further, high expression of PD-1 and PD-L1 was observed in tumors with SCMs, suggesting candidates for immune blockade therapy. Our work highlights the importance of integrating DNA and RNA data for understanding the functional and the clinical implications of mutations in human diseases.
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Affiliation(s)
- Reyka G Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Qingsong Gao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Yanyan Zhao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Héctor Climente-González
- Institut Curie, 75248 Paris Cedex, France; MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, 77300 Fontainebleau, France; INSERM U900, 75248 Paris Cedex, France
| | - Shengjie Chai
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Curriculum in Bioinformatics and Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fang Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rajees Varghese
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Division of Nephrology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Mo Huang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Sohini Sengupta
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Zhi Li
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA; Institute for Systems Genetics, New York University School of Medicine, New York, NY 10016, USA
| | - Samuel H Payne
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - David Fenyö
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA; Institute for Systems Genetics, New York University School of Medicine, New York, NY 10016, USA
| | - Jeffrey H Miner
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Division of Nephrology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Matthew J Walter
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | | | - Benjamin Vincent
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Curriculum in Bioinformatics and Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eduardo Eyras
- Catalan Institution of Research and Advanced Studies (ICREA), 08010 Barcelona, Spain; Computational RNA Biology Group, Pompeu Fabra University (UPF), 08003 Barcelona, Spain
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Division of Nephrology, Washington University in St. Louis, St. Louis, MO 63110, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Division of Oncology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
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Smith CC, Selitsky SR, Chai S, Armistead PM, Vincent BG, Serody JS. Alternative tumour-specific antigens. Nat Rev Cancer 2019; 19:465-478. [PMID: 31278396 PMCID: PMC6874891 DOI: 10.1038/s41568-019-0162-4] [Citation(s) in RCA: 196] [Impact Index Per Article: 39.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/29/2019] [Indexed: 12/20/2022]
Abstract
The study of tumour-specific antigens (TSAs) as targets for antitumour therapies has accelerated within the past decade. The most commonly studied class of TSAs are those derived from non-synonymous single-nucleotide variants (SNVs), or SNV neoantigens. However, to increase the repertoire of available therapeutic TSA targets, 'alternative TSAs', defined here as high-specificity tumour antigens arising from non-SNV genomic sources, have recently been evaluated. Among these alternative TSAs are antigens derived from mutational frameshifts, splice variants, gene fusions, endogenous retroelements and other processes. Unlike the patient-specific nature of SNV neoantigens, some alternative TSAs may have the advantage of being widely shared by multiple tumours, allowing for universal, off-the-shelf therapies. In this Opinion article, we will outline the biology, available computational tools, preclinical and/or clinical studies and relevant cancers for each alternative TSA class, as well as discuss both current challenges preventing the therapeutic application of alternative TSAs and potential solutions to aid in their clinical translation.
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Affiliation(s)
- Christof C Smith
- Department of Microbiology and Immunology, UNC School of Medicine, Marsico Hall, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sara R Selitsky
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Bioinformatics Core, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Marsico Hall, Chapel Hill, NC, USA
| | - Shengjie Chai
- Department of Microbiology and Immunology, UNC School of Medicine, Marsico Hall, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M Armistead
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Hematology/Oncology, Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Benjamin G Vincent
- Department of Microbiology and Immunology, UNC School of Medicine, Marsico Hall, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Division of Hematology/Oncology, Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Program in Computational Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Jonathan S Serody
- Department of Microbiology and Immunology, UNC School of Medicine, Marsico Hall, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Division of Hematology/Oncology, Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Program in Computational Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Morak M, Schaefer K, Steinke-Lange V, Koehler U, Keinath S, Massdorf T, Mauracher B, Rahner N, Bailey J, Kling C, Haeusser T, Laner A, Holinski-Feder E. Full-length transcript amplification and sequencing as universal method to test mRNA integrity and biallelic expression in mismatch repair genes. Eur J Hum Genet 2019; 27:1808-1820. [PMID: 31332305 DOI: 10.1038/s41431-019-0472-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/13/2019] [Accepted: 07/02/2019] [Indexed: 12/13/2022] Open
Abstract
In pathogenicity assessment, RNA-based analyses are important for the correct classification of variants, and require gene-specific cut-offs for allelic representation and alternative/aberrant splicing. Beside this, the diagnostic yield of RNA-based techniques capable to detect aberrant splicing or allelic loss due to intronic/regulatory variants has to be elaborated. We established a cDNA analysis for full-length transcripts (FLT) of the four DNA mismatch repair (MMR) genes to investigate the splicing pattern and transcript integrity with active/inhibited nonsense-mediated mRNA-decay (NMD). Validation was based on results from normal controls, samples with premature termination codons (PTC), samples with splice-site defects (SSD), and samples with pathogenic putative missense variants. The method was applied to patients with variants of uncertain significance (VUS) or unexplained immunohistochemical MMR deficiency. We categorized the allelic representation into biallelic (50 ± 10%) or allelic loss (≤10%), and >10% and <40% as unclear. We defined isoforms up to 10% and exon-specific exceptions as alternative splicing, set the cut-off for SSD in cDNA + P to 30-50%, and regard >10% and <30% as unclear. FLT cDNA analyses designated 16% of all putative missense variants and 12% of VUS as SSD, detected MMR-defects in 19% of the unsolved patients, and re-classified >30% of VUS. Our method allows a standardized, systematic cDNA analysis of the MMR FLTs to assess the pathogenicity mechanism of VUS on RNA level, which will gain relevance for precision medicine and gene therapy. Diagnostic accuracy will be enhanced by detecting MMR defects in hitherto unsolved patients. The data generated will help to calibrate a high-throughput NGS-based mRNA-analysis and optimize prediction programs.
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Affiliation(s)
- Monika Morak
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany. .,MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany.
| | - Kerstin Schaefer
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany
| | - Verena Steinke-Lange
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany.,MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany
| | - Udo Koehler
- MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany
| | - Susanne Keinath
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany
| | - Trisari Massdorf
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany.,MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany
| | - Brigitte Mauracher
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany
| | - Nils Rahner
- Medical Faculty, Institute of Human Genetics, Heinrich-Heine University, Düsseldorf, Germany
| | - Jessica Bailey
- Clinical Genetics, St. George's University Hospital NHS Foundation Trust, London, UK
| | | | - Tanja Haeusser
- MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany
| | - Andreas Laner
- MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany
| | - Elke Holinski-Feder
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Ziemssenstr. 1, 80336, Munich, Germany. .,MGZ - Medical Genetics Center, Bayerstr. 3-5, 80335, Munich, Germany.
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5
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Xiong HY, Alipanahi B, Lee LJ, Bretschneider H, Merico D, Yuen RKC, Hua Y, Gueroussov S, Najafabadi HS, Hughes TR, Morris Q, Barash Y, Krainer AR, Jojic N, Scherer SW, Blencowe BJ, Frey BJ. RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease. Science 2015; 347:1254806. [PMID: 25525159 PMCID: PMC4362528 DOI: 10.1126/science.1254806] [Citation(s) in RCA: 754] [Impact Index Per Article: 83.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intronic and exonic variants revealed widespread patterns of mutation-driven aberrant splicing. Intronic disease mutations that are more than 30 nucleotides from any splice site alter splicing nine times as often as common variants, and missense exonic disease mutations that have the least impact on protein function are five times as likely as others to alter splicing. We detected tens of thousands of disease-causing mutations, including those involved in cancers and spinal muscular atrophy. Examination of intronic and exonic variants found using whole-genome sequencing of individuals with autism revealed misspliced genes with neurodevelopmental phenotypes. Our approach provides evidence for causal variants and should enable new discoveries in precision medicine.
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Affiliation(s)
- Hui Y Xiong
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada
| | - Babak Alipanahi
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada
| | - Leo J Lee
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada
| | - Hannes Bretschneider
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada
| | - Daniele Merico
- McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Ryan K C Yuen
- McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Yimin Hua
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Serge Gueroussov
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Hamed S Najafabadi
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada
| | - Timothy R Hughes
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Quaid Morris
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Yoseph Barash
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Adrian R Krainer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Nebojsa Jojic
- eScience Group, Microsoft Research, Redmond, WA 98052, USA
| | - Stephen W Scherer
- Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Benjamin J Blencowe
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Brendan J Frey
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. eScience Group, Microsoft Research, Redmond, WA 98052, USA.
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6
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Thompson B, Martins A, Spurdle A. A review of mismatch repair gene transcripts: issues for interpretation of mRNA splicing assays. Clin Genet 2014; 87:100-8. [DOI: 10.1111/cge.12450] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 06/17/2014] [Accepted: 06/24/2014] [Indexed: 12/21/2022]
Affiliation(s)
- B.A. Thompson
- Department of Genetics and Computational Biology; QIMR Berghofer Medical Research Institute; Brisbane Australia
- School of Medicine; University of Queensland; Brisbane Australia
| | - A. Martins
- Inserm U1079; University of Rouen, Institute for Research and Innovation in Biomedicine; Rouen France
| | - A.B. Spurdle
- Department of Genetics and Computational Biology; QIMR Berghofer Medical Research Institute; Brisbane Australia
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7
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Kansikas M, Kariola R, Nyström M. Verification of the three-step model in assessing the pathogenicity of mismatch repair gene variants. Hum Mutat 2011; 32:107-15. [PMID: 21120944 PMCID: PMC3058133 DOI: 10.1002/humu.21409] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
In order to assess whether variations affecting DNA mismatch repair (MMR) genes are pathogenic and hence predisposing to Lynch syndrome (LS), a three-step assessment model has been proposed. Where LS is suspected based on family history, STEP1 is dedicated to the identification of the causative MMR gene and the variation within it. Thereafter, in STEP2 of the assessment model, the effect of the variation on the function of the protein is assessed in an in vitro MMR and in silico assays. Where LS cannot be confirmed or ruled out in STEP2, the more specific biochemical laboratory assays such as analyzing the effect of the variation on expression, localization, and interaction of the protein are required in STEP3. Here, we verified the proposed three-step assessment model and its ability to distinguish pathogenic MMR variations from variants of uncertain significance (VUS) by utilizing the clinical as well as the laboratory and in silico data of 37 MLH1, 26 MSH2, and 11 MSH6 variations. The proposed model was shown to be appropriate and proceed logically in assessing the pathogenicity of MMR variations. In fact, for MMR deficient MSH2 and MLH1 variations the first two steps seem to be sufficient as STEP3 provides no imperative information concerning the variant pathogenicity. However, the importance of STEP3 is seen in the assessment of MMR proficient variations showing discrepant in silico results as their pathogenicity cannot be confirmed or ruled out after STEP2. MSH6 variations may be applicable to the model if appropriate selection in terms of ruling out MLH1 and MSH2 variations and MLH1 promoter hypermethylation is ensured prior to the completion of STEP2. In conclusion, taking into consideration the susceptibility gene the three-step model can be utilized in an appropriate and efficient manner to determine the pathogenicity of MMR gene variations. Hum Mutat 32:107–115, 2011. © 2010 Wiley-Liss, Inc.
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Woolfe A, Mullikin JC, Elnitski L. Genomic features defining exonic variants that modulate splicing. Genome Biol 2010; 11:R20. [PMID: 20158892 PMCID: PMC2872880 DOI: 10.1186/gb-2010-11-2-r20] [Citation(s) in RCA: 98] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2009] [Revised: 02/03/2010] [Accepted: 02/16/2010] [Indexed: 12/21/2022] Open
Abstract
A comparative analysis of SNPs and their exonic and intronic environments identifies the features predictive of splice affecting variants. Background Single point mutations at both synonymous and non-synonymous positions within exons can have severe effects on gene function through disruption of splicing. Predicting these mutations in silico purely from the genomic sequence is difficult due to an incomplete understanding of the multiple factors that may be responsible. In addition, little is known about which computational prediction approaches, such as those involving exonic splicing enhancers and exonic splicing silencers, are most informative. Results We assessed the features of single-nucleotide genomic variants verified to cause exon skipping and compared them to a large set of coding SNPs common in the human population, which are likely to have no effect on splicing. Our findings implicate a number of features important for their ability to discriminate splice-affecting variants, including the naturally occurring density of exonic splicing enhancers and exonic splicing silencers of the exon and intronic environment, extensive changes in the number of predicted exonic splicing enhancers and exonic splicing silencers, proximity to the splice junctions and evolutionary constraint of the region surrounding the variant. By extending this approach to additional datasets, we also identified relevant features of variants that cause increased exon inclusion and ectopic splice site activation. Conclusions We identified a number of features that have statistically significant representation among exonic variants that modulate splicing. These analyses highlight putative mechanisms responsible for splicing outcome and emphasize the role of features important for exon definition. We developed a web-tool, Skippy, to score coding variants for these relevant splice-modulating features.
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Affiliation(s)
- Adam Woolfe
- Genomic Functional Analysis Section, National Human Genome Research Institute, National Institutes of Health, Rockville, Maryland 20892, USA.
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Pećina-Slaus N, Majić Z, Musani V, Zeljko M, Cupić H. Report on mutation in exon 15 of the APC gene in a case of brain metastasis. J Neurooncol 2009; 97:143-8. [PMID: 19711014 DOI: 10.1007/s11060-009-0001-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2009] [Accepted: 08/10/2009] [Indexed: 11/29/2022]
Abstract
The study analyzes exon 15 of the adenomatous polyposis coli gene (APC) in a 49-year-old male patient with brain metastasis. The primary site was lung carcinoma. PCR method and direct DNA sequencing of the metastasis and autologous lymphocyte samples identified the presence of a somatic mutation. The substitution was at position 5883 G-A in the metastasis tissue. The mutation was confirmed by RFLP analysis using Msp I endonuclease, since the mutation strikes the Msp I restriction site. Immunohistochemical analysis revealed the lack of protein expression of this tumor suppressor gene. The main molecular activator of the wnt pathway, beta-catenin, was expressed, and located in the nucleus. The mutation is a silent mutation that might have consequences in the creation of a new splice site. Different single-base substitutions in APC exons need not only be evaluated by the predicted change in amino acid sequence, but rather at the nucleotide level itself. In our opinion, such silent mutations should also be incorporated in mutation detection rate and validation.
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Affiliation(s)
- Nives Pećina-Slaus
- Laboratory of Neurooncology, Croatian Institute for Brain Research, School of Medicine University of Zagreb, Zagreb, Croatia.
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10
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Tournier I, Vezain M, Martins A, Charbonnier F, Baert-Desurmont S, Olschwang S, Wang Q, Buisine MP, Soret J, Tazi J, Frébourg T, Tosi M. A large fraction of unclassified variants of the mismatch repair genes MLH1 and MSH2 is associated with splicing defects. Hum Mutat 2009; 29:1412-24. [PMID: 18561205 DOI: 10.1002/humu.20796] [Citation(s) in RCA: 134] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Numerous unclassified variants (UVs) have been found in the mismatch repair genes MLH1 and MSH2 involved in hereditary nonpolyposis colorectal cancer (HNPCC or Lynch syndrome). Some of these variants may have an effect on pre-mRNA splicing, either by altering degenerate positions of splice site sequences or by affecting intronic or exonic splicing regulatory sequences such as exonic splicing enhancers (ESEs). In order to determine the consequences of UVs on splicing, we used a functional assay of exon inclusion. For each variant, mutant and wild-type exons to be tested were PCR-amplified from patient genomic DNA together with approximately 150 bp of flanking sequences and were inserted into a splicing reporter minigene. After transfection into HeLa cells, the effects on splicing were evaluated by RT-PCR analysis and systematic sequencing. A total of 22 UVs out of 85 different variant alleles examined in 82 families affected splicing, including four exonic variants that affected putative splicing regulatory elements. We analyzed short stretches spanning the latter variants by cloning them into the ESE-dependent central exon of a three-exon splicing minigene and we showed in cell transfection experiments that the wild-type sequences indeed contain functional ESEs. We then used this construct to query for ESE elements in the MLH1 or MSH2 regions affected by 14 previously reported exonic splicing mutations and showed that they also contain functional ESEs. These splicing assays represent a valuable tool for the interpretation of UVs and should contribute to the optimization of the molecular diagnosis of the Lynch syndrome and of other genetic diseases.
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Affiliation(s)
- Isabelle Tournier
- Inserm U614, Federate Institute for Multidisciplinary Research on Peptides, Faculty of Medicine, University of Rouen, Department of Genetics and Institute for Biomedical Research, Rouen University Hospital, Rouen, France
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11
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Tazi J, Bakkour N, Stamm S. Alternative splicing and disease. BIOCHIMICA ET BIOPHYSICA ACTA 2009; 1792:14-26. [PMID: 18992329 PMCID: PMC5632948 DOI: 10.1016/j.bbadis.2008.09.017] [Citation(s) in RCA: 381] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2008] [Revised: 09/19/2008] [Accepted: 09/30/2008] [Indexed: 12/11/2022]
Abstract
Almost all protein-coding genes are spliced and their majority is alternatively spliced. Alternative splicing is a key element in eukaryotic gene expression that increases the coding capacity of the human genome and an increasing number of examples illustrates that the selection of wrong splice sites causes human disease. A fine-tuned balance of factors regulates splice site selection. Here, we discuss well-studied examples that show how a disturbance of this balance can cause human disease. The rapidly emerging knowledge of splicing regulation now allows the development of treatment options.
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Affiliation(s)
- Jamal Tazi
- University of Montpellier II, Institute of Molecular Genetics, Centre Nationale de Recherche Scientifique, 1919 Route de Mende, France
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12
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Nasim MT, Ghouri A, Patel B, James V, Rudarakanchana N, Morrell NW, Trembath RC. Stoichiometric imbalance in the receptor complex contributes to dysfunctional BMPR-II mediated signalling in pulmonary arterial hypertension. Hum Mol Genet 2008; 17:1683-94. [PMID: 18321866 DOI: 10.1093/hmg/ddn059] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Heterozygous germline defects in a gene encoding a type II receptor for bone morphogenetic proteins (BMPR-II) underlie the majority of inherited cases of the vascular disorder known as pulmonary arterial hypertension (PAH). However, the precise molecular consequences of PAH causing mutations on the function of the receptor complex remain unclear. We employed novel enzymatic and fluorescence activity based techniques to assess the impact of PAH mutations on pre-mRNA splicing, nonsense-mediated decay (NMD) and receptor complex interactions. We demonstrate that nonsense and frameshift mutations trigger NMD, providing further evidence that haplo-insufficiency is a major molecular consequence of disease-related BMPR2 mutations. We identified heterogeneous functional defects in BMPR-II activity, including impaired type I receptor phosphorylation, receptor interactions and altered receptor complex stoichiometry leading to perturbation of downstream signalling pathways. Importantly, these studies demonstrate that the intracellular domain of BMPR-II is both necessary and sufficient for receptor complex interaction. Finally and to address the potential for resolution of stoichiometric balance, we investigated an agent that promotes translational readthrough of a BMPR2 nonsense reporter construct without interfering with the NMD pathway. We propose that stoichiometric imbalance, due to either haplo-insufficiency or loss of optimal receptor-receptor interactions impairs BMPR-II mediated signalling in PAH. Taken together, these studies have identified an important target for early therapeutic intervention in familial PAH.
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Affiliation(s)
- M Talat Nasim
- Department of Medical and Molecular Genetics, King's College London, Guy's Hospital, London SE1 9RT, UK.
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13
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Wanat JJ, Singh N, Alani E. The effect of genetic background on the function of Saccharomyces cerevisiae mlh1 alleles that correspond to HNPCC missense mutations. Hum Mol Genet 2007; 16:445-52. [PMID: 17210669 DOI: 10.1093/hmg/ddl479] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Germline mutations in the DNA mismatch repair (MMR) gene MLH1 are associated with a large percentage of hereditary non-polyposis colorectal cancers. There are approximately 250 known human mutations in MLH1. Of these, one-third are missense variants that are often difficult to characterize with regards to pathogenicity. We analysed 28 alleles of baker's yeast MLH1 that correspond to non-truncating human mutant alleles listed in online HNPCC databases, 13 of which had not been previously studied in functional assays. Using the highly sensitive lys2::InsE-A(14) reversion rate assay, we determined the MMR proficiency conferred by each allele in the S288c strain of Saccharomyces cerevisiae. Seven alleles conferred a null phenotype for MMR and eight others showed significant MMR defects, suggesting that all 15 are likely to be pathogenic in humans. In addition, we observed a strong correlation between these results, limited results from previous functional assays and clinical data. To test whether the potential pathogenicity of certain alleles depends on the genetic background of the host, we examined the mutation rates conferred by the mlh1 alleles in a second yeast strain, SK1, which is approximately 0.7% divergent from S288c. Many alleles displayed a difference in MMR efficiency between strain backgrounds with decreasing differences as the severity of the MMR defect increased. These findings suggest that genetic background can play an important role in determining the pathogenicity of MMR alleles and may explain cases of atypical colorectal cancer inheritance.
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Affiliation(s)
- Jennifer J Wanat
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
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14
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Lastella P, Surdo NC, Resta N, Guanti G, Stella A. In silico and in vivo splicing analysis of MLH1 and MSH2 missense mutations shows exon- and tissue-specific effects. BMC Genomics 2006; 7:243. [PMID: 16995940 PMCID: PMC1590028 DOI: 10.1186/1471-2164-7-243] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2006] [Accepted: 09/22/2006] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Abnormalities of pre-mRNA splicing are increasingly recognized as an important mechanism through which gene mutations cause disease. However, apart from the mutations in the donor and acceptor sites, the effects on splicing of other sequence variations are difficult to predict. Loosely defined exonic and intronic sequences have been shown to affect splicing efficiency by means of silencing and enhancement mechanisms. Thus, nucleotide substitutions in these sequences can induce aberrant splicing. Web-based resources have recently been developed to facilitate the identification of nucleotide changes that could alter splicing. However, computer predictions do not always correlate with in vivo splicing defects. The issue of unclassified variants in cancer predisposing genes is very important both for the correct ascertainment of cancer risk and for the understanding of the basic mechanisms of cancer gene function and regulation. Therefore we aimed to verify how predictions that can be drawn from in silico analysis correlate with results obtained in an in vivo splicing assay. RESULTS We analysed 99 hMLH1 and hMSH2 missense mutations with six different algorithms. Transfection of three different cell lines with 20 missense mutations, showed that a minority of them lead to defective splicing. Moreover, we observed that some exons and some mutations show cell-specific differences in the frequency of exon inclusion. CONCLUSION Our results suggest that the available algorithms, while potentially helpful in identifying splicing modulators especially when they are located in weakly defined exons, do not always correspond to an obvious modification of the splicing pattern. Thus caution must be used in assessing the pathogenicity of a missense or silent mutation with prediction programs. The variations observed in the splicing proficiency in three different cell lines suggest that nucleotide changes may dictate alternative splice site selection in a tissue-specific manner contributing to the widely observed phenotypic variability in inherited cancers.
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Affiliation(s)
- Patrizia Lastella
- Section of Medical Genetics, Department of Biomedicine in Childhood, University of Bari, Italy. Policlinico P.zza G.Cesare 11 70124 Bari, Italy
| | - Nicoletta Concetta Surdo
- Section of Medical Genetics, Department of Biomedicine in Childhood, University of Bari, Italy. Policlinico P.zza G.Cesare 11 70124 Bari, Italy
| | - Nicoletta Resta
- Section of Medical Genetics, Department of Biomedicine in Childhood, University of Bari, Italy. Policlinico P.zza G.Cesare 11 70124 Bari, Italy
| | - Ginevra Guanti
- Section of Medical Genetics, Department of Biomedicine in Childhood, University of Bari, Italy. Policlinico P.zza G.Cesare 11 70124 Bari, Italy
| | - Alessandro Stella
- Section of Medical Genetics, Department of Biomedicine in Childhood, University of Bari, Italy. Policlinico P.zza G.Cesare 11 70124 Bari, Italy
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15
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Auclair J, Busine MP, Navarro C, Ruano E, Montmain G, Desseigne F, Saurin JC, Lasset C, Bonadona V, Giraud S, Puisieux A, Wang Q. Systematic mRNA analysis for the effect of MLH1 and MSH2 missense and silent mutations on aberrant splicing. Hum Mutat 2006; 27:145-54. [PMID: 16395668 DOI: 10.1002/humu.20280] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A substantial proportion of MLH1 and MSH2 gene mutations in hereditary nonpolyposis colon cancer syndrome (HNPCC) families are characterized by nucleotide substitutions, either within the coding sequence (missense or silent mutations) or in introns. The question of whether these mutations affect the normal function of encoding mismatch DNA repair proteins and thus lead to the predisposition to cancer is determinant in genetic testing. Recent studies have suggested that some nucleotide substitutions can induce aberrant splicing by disrupting cis-transcription elements such as exonic enhancers (ESEs). ESE disruption has been proposed to be the mechanism that underlies the presumed pathological missense mutations identified in HNPCC families. To investigate the prevalence of aberrant splicing resulting from nucleotide substitutions, and its relevance to predicted ESEs, we conducted a systematic RNA screening of a series of 60 patients who carried unrelated exonic or intronic mutations in MLH1 or MSH2 genes. Aberrant splicing was found in 15 cases, five of which were associated with exonic mutations. We evaluated the link between those splicing mutations and predicted putative ESEs by using the computational tools ESEfinder and RESCUE-ESE. Our study shows that the algorithm-based ESE prediction cannot be definitely correlated to experimental observations from RNA screening. By using minigene constructs and in vitro transcription assay, we demonstrated that nucleotide substitutions are the direct cause of the splicing defect. This is the first systematic screening for the effect of missense and silent mutations on splicing in HNPCC patients. The pathogenic splicing mutations identified in this study will contribute to the assessment of "unclassified variants" in genetic counseling. Our results also suggest that one must use caution when determining the pathogenic effect of a missense or silent mutation using ESE prediction algorithms. Analysis at the RNA level is therefore necessary.
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Affiliation(s)
- Jessie Auclair
- Unité d'Oncologie Moléculaire, Centre Léon Bérard, Lyon, France
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16
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Xu DQ, Mattox W. Identification of a splicing enhancer in MLH1 using COMPARE, a new assay for determination of relative RNA splicing efficiencies. Hum Mol Genet 2005; 15:329-36. [PMID: 16357104 PMCID: PMC1400605 DOI: 10.1093/hmg/ddi450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Exonic splicing enhancers (ESEs) are sequences that facilitate recognition of splice sites and prevent exon-skipping. Because ESEs are often embedded within protein-coding sequences, alterations in them can also often be interpreted as nonsense, missense or silent mutations. To correctly interpret exonic mutations and their roles in diseases, it is important to develop strategies that identify ESE mutations. Potential ESEs can be found computationally in many exons but it has proven difficult to predict whether a given mutation will have effects on splicing based on sequence alone. Here, we describe a flexible in vitro method that can be used to functionally compare the effects of multiple sequence variants on ESE activity in a single in vitro splicing reaction. We have applied this method in parallel with conventional splicing assays to test for a splicing enhancer in exon 17 of the human MLH1 gene. Point mutations associated with hereditary non-polyposis colorectal cancer (HNPCC) have previously been found to correlate with exon-skipping in both lymphocytes and tumors from patients. We show that sequences from this exon can replace an ESE from the mouse IgM gene to support RNA splicing in HeLa nuclear extracts. ESE activity was reduced by HNPCC point mutations in codon 659, indicating that their primary effect is on splicing. Surprisingly, the strongest enhancer function mapped to a different region of the exon upstream of this codon. Together, our results indicate that HNPCC point mutations in codon 659 affect an auxillary element that augments the enhancer function to ensure exon inclusion.
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Affiliation(s)
| | - William Mattox
- *Corresponding Author 1515 Holcombe Blvd, Unit 1006, Houston, TX 77030, Phone: (713) 834-6329, Fax: (713) 834-6339,
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17
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Abstract
BACKGROUND & AIMS Germline mutations in mismatch repair genes are associated with hereditary nonpolyposis colorectal cancer. A significant proportion of mutations are nontruncating and associated with a variability of clinical phenotype and microsatellite instability and with occasional presence of residual protein in tumor tissue that suggests impaired functional activity but not total lack of mismatch repair. To address pathogenic significance and mechanism of pathogenicity, we studied the functionality of 31 nontruncating MLH1 mutations found in clinically characterized colorectal cancer families and 3 other variations listed in a mutation database. METHODS Mutations constructed by site-directed mutagenesis were studied for protein expression/stability, subcellular localization, protein-protein interaction, and repair efficiency. The genetic and biochemical data were correlated with clinical data. Finally, comparative sequence analysis was performed to assess the value of sequence homology as a tool for predicting functional results. RESULTS Altogether, 22 mutations were pathogenic in more than one assay, 2 variants were impaired in one assay, and 10 variants acted like wild-type protein. Twenty of 34 mutations affected the quantity of MLH1 protein, whereas only 15 mainly amino-terminal mutations were defective in an in vitro repair assay. Comparative sequence analysis correctly predicted functional studies for 82% of variants. CONCLUSIONS Pathogenic nontruncating alterations in MLH1 may interfere with different biochemical mechanisms but generally more than one. The severe biochemical defects are mirrored by phenotypic characteristics such as early age at onset and high microsatellite instability, whereas variants with no or mild defects in functionality are associated with variable clinical phenotypes.
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18
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Agrawal S, Pilarski R, Eng C. Different splicing defects lead to differential effects downstream of the lipid and protein phosphatase activities of PTEN. Hum Mol Genet 2005; 14:2459-68. [PMID: 16014636 DOI: 10.1093/hmg/ddi246] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
PTEN, encoding a dual phosphatase tumor suppressor, is mutated in 85 and 65% of individuals with Cowden syndrome (CS) and Bannayan-Riley-Ruvalcaba syndrome (BRRS), respectively. Approximately 23 germline mutations in putative splice sites have been published, but resulting downstream outcome data are limited. We determined splicing defects in PTEN in 40 germline PTEN mutation positive cases and 33 mutation negative cases with classic CS, BRRS and CS- or BRRS-like features. Altered splicing was observed in 4/40 mutation positive probands and 2/33 mutation negative probands. We then sought to characterize the transcriptional and biochemical outcomes of the five distinct splice-site mutations, which led to the skipping of exon 3, 4 or 6. Two mutation negative BRRS patients also showed exon 3 skipping, and later, genomic sequencing revealed a mutation deep in intron 2. The splice-site mutations leading to the deletions of exon 3, 4 or 6 resulted in reduced dual phosphatase activities of PTEN. Deletion of exon 4 was associated with severely reduced lipid phosphatase activity, whereas exon 3 skipping resulted in markedly reduced protein phosphatase activity. In addition, exon 3 deleted transcript and protein were stable and localized to the nucleus more efficiently than the wild-type PTEN. In contrast, exon 4 skipping resulted in unstable transcripts and severely truncated unstable PTEN protein lacking its phosphatase domain. We have not only described for the first time, the effect of a deep intronic/branch-site mutation on exon skipping in PTEN but also found that different splice-site mutations resulting in the deletion of different exons lead to distinct outcomes.
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Affiliation(s)
- Shipra Agrawal
- Clinical Cancer Genetics Program, Human Cancer Genetics Program, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
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19
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McVety S, Li L, Gordon PH, Chong G, Foulkes WD. Disruption of an exon splicing enhancer in exon 3 of MLH1 is the cause of HNPCC in a Quebec family. J Med Genet 2005; 43:153-6. [PMID: 15923275 PMCID: PMC2564635 DOI: 10.1136/jmg.2005.031997] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND A 3 bp deletion located at the 5' end of exon 3 of MLH1, resulting in deletion of exon 3 from RNA, was recently identified. HYPOTHESIS That this mutation disrupts an exon splicing enhancer (ESE) because it occurs in a purine-rich sequence previously identified as an ESE in other genes, and ESEs are often found in exons with splice signals that deviate from the consensus signals, as does the 3' splice signal in exon 3 of MLH1. DESIGN The 3 bp deletion and several other mutations were created by polymerase chain reaction mutagenesis and tested using an in vitro splicing assay. Both mutant and wild type exon 3 sequences were cloned into an exon trapping vector and transiently expressed in Cos-1 cells. RESULTS Analysis of the RNA indicates that the 3 bp deletion c.213_215delAGA (gi:28559089, NM_000249.2), a silent mutation c.216T-->C, a missense mutation c.214G-->C, and a nonsense mutation c.214G-->T all cause varying degrees of exon skipping, suggesting the presence of an ESE at the 5' end of exon 3. These mutations are situated in a GAAGAT sequence 3 bp downstream from the start of exon 3. CONCLUSIONS The results of the splicing assay suggest that inclusion of exon 3 in the mRNA is ESE dependent. The exon 3 ESE is not recognised by all available motif scoring matrices, highlighting the importance of RNA analysis in the detection of ESE disrupting mutations.
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20
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Hudler P, Vouk K, Voulk K, Liovic M, Repse S, Juvan R, Komel R. Mutations in the hMLH1 gene in Slovenian patients with gastric carcinoma. Clin Genet 2004; 65:405-11. [PMID: 15099349 DOI: 10.1111/j.0009-9163.2004.0234.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Alterations of multiple oncogenes and tumor suppressor genes, together with genetic instability, are responsible for carcinogenesis in gastric cancer. The microsatellite mutator phenotype is the cause of many somatic frameshift and point mutations in non-coding repetitive sequences and in coding regions associated with cell proliferation and apoptosis. Genetic mutations in hMLH1 and transcriptional silencing of its promoter by hypermethylation lead to the inactivation of the mismatch repair system. In our study, we screened for mutations the hMLH1 gene in patients expressing the microsatellite instability genotype by using single-strand conformational polymorphism analysis and direct sequencing. Seven changes were identified; of these, three (A92P, E433Q, and K618A) were germline mutations and the other four (IVS5 453 + 79 A > G, I219V, 1039 - 7 del (T)(n), and IVS15 1668 - 19 A > G) germline polymorphisms. A92P and E433Q are novel, previously unidentified mutations. In addition, we found a rather complex distribution of mutations and polymorphisms in individual patients and in two cases also a methylated hMLH1 promoter.
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Affiliation(s)
- P Hudler
- Medical Center for Molecular Biology, Institute of Biochemistry, Ljubljana, Slovenia
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21
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Abstract
Pre-mRNA splicing is a sophisticated and ubiquitous nuclear process, which is a natural source of cancer-causing errors in gene expression. Intronic splice site mutations of tumor suppressor genes often cause exon-skipping events that truncate proteins just like classical nonsense mutations. Also, many studies over the last 20 years have reported cancer-specific alternative splicing in the absence of genomic mutations. Affected proteins include transcription factors, cell signal transducers, and components of the extracellular matrix. Antibodies against alternatively spliced products on cancer cells are currently in clinical trials, and competitive reverse transcription-PCR across regions of alternative splicing is being used as a simple diagnostic test. As well as being associated with cancer, the nature of the alternative gene products is usually consistent with an active role in cancer; therefore, the alternative splicing process itself is a potential target for gene therapy.
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Affiliation(s)
- Julian P Venables
- University of Newcastle-upon-Tyne, Institute of Human Genetics, International Centre for Life, Central Parkway, Newcastle-upon-Tyne, United Kingdom.
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22
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Peltomäki P, Gao X, Mecklin JP. Genotype and phenotype in hereditary nonpolyposis colon cancer: a study of families with different vs. shared predisposing mutations. Fam Cancer 2003; 1:9-15. [PMID: 14574010 DOI: 10.1023/a:1011564720772] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Hereditary nonpolyposis colorectal cancer (HNPCC) is a multi-organ cancer syndrome associated with heritable mutations in DNA mismatch repair genes, particularly MLH1 (MutL Homologue 1) and MSH2 (MutS Homologue 2). We took advantage of the unique characteristics of the Finnish HNPCC families to assess genotype- phenotype correlations in this disorder. We studied 295 mutation carriers (10 mutations in MLH1 and 3 in MSH2) segregating in 55 families. In addition to the comparison of families with different mutations, the enrichment of two MLH1 mutations, one affecting exon 16 (29 families, 186 individuals) and another one affecting exon 6 (10 families, 45 individuals) allowed the comparison of kindreds with identical predisposing mutations. Extracolonic cancers were more common in MSH2 than MLH1 mutation carriers, with the ratios of 0.48 and 0.64, respectively, of colorectal cancer to all cancers (P = 0.076). Within MLH1, two mutations affecting only the amino terminal portion showed a significant association with late onset of cancer as compared to the remaining mutations. Importantly, families with the MLH1 exon 16 mutation displayed significant variation (P = 0.012) in the age at onset of colon cancer, despite shared predisposition. We conclude that even though characteristics of the inherited mutations may explain part of the observed clinical variation, other factors have a significant impact on HNPCC phenotype determination.
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Affiliation(s)
- P Peltomäki
- Division of Human Cancer Genetics, Comprehensive Cancer Center, The Ohio State University, 690 Medical Research Facility, 420 W. 12th Avenue, Columbus, OH 43210, USA.
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23
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Peltomäki P, Gao X, Mecklin JP. Genotype and phenotype in hereditary nonpolyposis colon cancer: a study of families with different vs. shared predisposing mutations. Fam Cancer 2003. [PMID: 14574010 DOI: 10.1023/a: 1011564720772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Hereditary nonpolyposis colorectal cancer (HNPCC) is a multi-organ cancer syndrome associated with heritable mutations in DNA mismatch repair genes, particularly MLH1 (MutL Homologue 1) and MSH2 (MutS Homologue 2). We took advantage of the unique characteristics of the Finnish HNPCC families to assess genotype- phenotype correlations in this disorder. We studied 295 mutation carriers (10 mutations in MLH1 and 3 in MSH2) segregating in 55 families. In addition to the comparison of families with different mutations, the enrichment of two MLH1 mutations, one affecting exon 16 (29 families, 186 individuals) and another one affecting exon 6 (10 families, 45 individuals) allowed the comparison of kindreds with identical predisposing mutations. Extracolonic cancers were more common in MSH2 than MLH1 mutation carriers, with the ratios of 0.48 and 0.64, respectively, of colorectal cancer to all cancers (P = 0.076). Within MLH1, two mutations affecting only the amino terminal portion showed a significant association with late onset of cancer as compared to the remaining mutations. Importantly, families with the MLH1 exon 16 mutation displayed significant variation (P = 0.012) in the age at onset of colon cancer, despite shared predisposition. We conclude that even though characteristics of the inherited mutations may explain part of the observed clinical variation, other factors have a significant impact on HNPCC phenotype determination.
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Affiliation(s)
- P Peltomäki
- Division of Human Cancer Genetics, Comprehensive Cancer Center, The Ohio State University, 690 Medical Research Facility, 420 W. 12th Avenue, Columbus, OH 43210, USA.
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24
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Raevaara TE, Vaccaro C, Abdel-Rahman WM, Mocetti E, Bala S, Lönnqvist KE, Kariola R, Lynch HT, Peltomäki P, Nyström-Lahti M. Pathogenicity of the hereditary colorectal cancer mutation hMLH1 del616 linked to shortage of the functional protein. Gastroenterology 2003; 125:501-9. [PMID: 12891553 DOI: 10.1016/s0016-5085(03)00905-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND & AIMS Hereditary nonpolyposis colorectal cancer is associated with mismatch repair deficiency. Most predisposing mutations prevent the production of functional mismatch repair protein. Thus, when the wild-type copy is also inactivated, the cell becomes mismatch repair deficient, and this leads to a high degree of microsatellite instability in tumors. However, tumors linked to nontruncating mutations may display positive or partly positive immunohistochemical staining of the mutated protein and low or atypical microsatellite instability status, which suggests impaired functional activity but not a total lack of mismatch repair. We found human mutL homology (hMLH) 1 del616, one of the most widespread recurring mutations in hereditary nonpolyposis colorectal cancer, segregating in a large hereditary nonpolyposis colorectal cancer family. Because the predicted coding change is a deletion of only 1 amino acid, the pathogenicity of the mutation was evaluated. METHODS Many analyses were performed to assess the pathogenicity of hMLH1 del616 and to study the expression and function of the mutated messenger RNA and protein. RESULTS Genetic and immunohistochemical evidence supported hMLH1-linked cancer predisposition in this family. Microsatellite instability varied from low to high, and the hMLH1 protein was lost in 2 tumors but was partly detectable in 1 tumor. Whereas similar optimal amounts of mutated hMLH1 del616 and wild-type hMLH1 proteins were equally functional in an in vitro mismatch repair assay, the amount of in vivo-expressed hMLH1 del616 was much lower than the amount of wild-type protein; this suggests that the deletion imparts instability to the mutant protein. CONCLUSIONS Our results suggest that the pathogenicity of hMLH1 del616 is not linked to nonfunctionality, but to shortage of the functional protein.
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Affiliation(s)
- Tiina E Raevaara
- Division of Genetics, Department of Biosciences, University of Helsinki, Helsinki, Finland
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Cartegni L, Chew SL, Krainer AR. Listening to silence and understanding nonsense: exonic mutations that affect splicing. Nat Rev Genet 2002; 3:285-98. [PMID: 11967553 DOI: 10.1038/nrg775] [Citation(s) in RCA: 1591] [Impact Index Per Article: 72.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Point mutations in the coding regions of genes are commonly assumed to exert their effects by altering single amino acids in the encoded proteins. However, there is increasing evidence that many human disease genes harbour exonic mutations that affect pre-mRNA splicing. Nonsense, missense and even translationally silent mutations can inactivate genes by inducing the splicing machinery to skip the mutant exons. Similarly, coding-region single-nucleotide polymorphisms might cause phenotypic variability by influencing splicing accuracy or efficiency. As the splicing mechanisms that depend on exonic signals are elucidated, new therapeutic approaches to treating certain genetic diseases can begin to be explored.
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Affiliation(s)
- Luca Cartegni
- Cold Spring Harbor Laboratory, PO Box 100, Cold Spring Harbor, New York 11724, USA
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Furukawa T, Konishi F, Shitoh K, Kojima M, Nagai H, Tsukamoto T. Evaluation of screening strategy for detecting hereditary nonpolyposis colorectal carcinoma. Cancer 2002. [DOI: 10.1002/cncr.10332] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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27
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Abstract
The inactivation of the DNA mismah repair (MMR) system, which is associated with the predisposition to the hereditary non-polyposis colorectal cancer (HNPCC), has also been documented in nearly 20% of the sporadic colorectal cancers. These tumors are characterized by a high frequency of microsatellite instability (MSI(+) phenotype), resulting from the accumulation of small insertions or deletions that frequently arise during replication of these short repeated sequences. A germline mutation of one of the two major MMR genes (hMSH2 or hMLH1) is found in half to two-thirds of the patients with HNPCC, whereas in sporadic cases hypermethylation of the hMLH1 promoter is the major cause of the MMR defect. Germline mutations in hMSH6 are rare and rather confer predisposition to late-onset familial colorectal cancer, and frequent extracolonic tumors. Yet, the genetic background of a number of HNPCC patients remains unexplained, indicating that other genes participate in MMR and play important roles in cancer susceptibility. The tumor-suppressor genes that are potential targets for the MSI-driven mutations because they contain hypermutable repeated sequences are likely to contribute to the etiology and tissue specificity of the MSI-associated carcinogenesis. Because the prognosis and the chemosensitivity of the MSI(+) colorectal tumors differ from those without instability, the determination of the MSI phenotype is expected to improve the clinical management of patients. This review gives an overview of various aspects of the biochemistry and genetics of the DNA mismah repair system, with particular emphasis in its role in colorectal carcinogenesis.
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Affiliation(s)
- Sandrine Jacob
- CNRS, Unité Propre de Recherches 2169, Genetic Instability and Cancer, 7, rue Guy-Môquet, 94800 Villejuif, France
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Nyström-Lahti M, Perrera C, Räschle M, Panyushkina-Seiler E, Marra G, Curci A, Quaresima B, Costanzo F, D'Urso M, Venuta S, Jiricny J. Functional analysis ofMLH1mutations linked to hereditary nonpolyposis colon cancer. Genes Chromosomes Cancer 2001. [DOI: 10.1002/gcc.1225] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Clarke LA, Veiga I, Isidro G, Jordan P, Ramos JS, Castedo S, Boavida MG. Pathological exon skipping in an HNPCC proband withMLH1 splice acceptor site mutation. Genes Chromosomes Cancer 2000. [DOI: 10.1002/1098-2264(2000)9999:9999<::aid-gcc1051>3.0.co;2-v] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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