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Fummey E, Navarro P, Plazzer JP, Frayling IM, Knott S, Tenesa A. Estimating cancer risk in carriers of Lynch syndrome variants in UK Biobank. J Med Genet 2024; 61:861-869. [PMID: 39004446 DOI: 10.1136/jmg-2023-109791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 06/17/2024] [Indexed: 07/16/2024]
Abstract
BackgroundLynch syndrome (LS) is an inherited cancer predisposition syndrome caused by genetic variants affecting DNA mismatch repair (MMR) genes MLH1, MSH2, MSH6 and PMS2 Cancer risk in LS is estimated from cohorts of individuals ascertained by individual or family history of cancer, which may upwardly bias estimates. METHODS 830 carriers of pathogenic or likely pathogenic (path_MMR) MMR gene variants classified by InSiGHT were identified in 454 756 UK Biobank (UKB) participants using whole-exome sequence. Nelson-Aalen survival analysis was used to estimate cumulative incidence of colorectal, endometrial and breast cancer (BC). RESULTS Cumulative incidence of colorectal and endometrial cancer (EC) by age 70 years was elevated in path_MMR carriers compared with non-carriers (colorectal: 11.8% (95% confidence interval (CI): 9.5% to 14.6%) vs 1.7% (95% CI: 1.6% to 1.7%), endometrial: 13.4% (95% CI: 10.2% to 17.6%) vs 1.0% (95% CI: 0.9% to 1.0%)), but the magnitude of this increase differed between genes. Cumulative BC incidence by age 70 years was not elevated in path_MMR carriers compared with non-carriers (8.9% (95% CI: 6.3% to 12.4%) vs 7.5% (95% CI: 7.4% to 7.6%)). Cumulative cancer incidence estimates in UKB were similar to estimates from the Prospective Lynch Syndrome Database for all genes and cancers, except there was no evidence for elevated EC risk in carriers of pathogenic PMS2 variants in UKB. CONCLUSION These results support offering incidentally identified carriers of any path_MMR surveillance to manage colorectal cancer risk. Incidentally identified carriers of pathogenic variants in MLH1, MSH2 and MSH6 would also benefit from interventions to reduce EC risk. The results suggest that BC is not an LS-related cancer.
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Affiliation(s)
- Eilidh Fummey
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- The Roslin Institute, University of Edinburgh, Roslin, Midlothian, UK
| | - John-Paul Plazzer
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ian M Frayling
- The Centre for Familial Intestinal Cancer, St Mark's the National Bowel Hospital and Academic Institute, London, UK
- Institute of Cancer & Genetics, Cardiff University, Cardiff, UK
| | - Sara Knott
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK
| | - Albert Tenesa
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- The Roslin Institute, University of Edinburgh, Roslin, Midlothian, UK
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2
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Maida M, Dahiya DS, Shah YR, Tiwari A, Gopakumar H, Vohra I, Khan A, Jaber F, Ramai D, Facciorusso A. Screening and Surveillance of Colorectal Cancer: A Review of the Literature. Cancers (Basel) 2024; 16:2746. [PMID: 39123473 PMCID: PMC11312202 DOI: 10.3390/cancers16152746] [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: 07/13/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
Colorectal cancer (CRC) has the highest mortality rate among men and is the second highest among women under fifty, with incidence and mortality rates rising in younger populations. Studies indicate that up to one-third of patients diagnosed before fifty have a family history or genetic factors, highlighting the need for earlier screening. Contrariwise, diagnosis in healthy subjects through screening strategies enables early-stage detection of the tumor and better clinical outcomes. In recent years, mortality rates of CRC in Western countries have been on a steady decline, which is largely attributed to widespread screening programs and advancements in treatment modalities. Indeed, early detection through screening significantly improves prognosis, with stark differences in survival rates between localized and metastatic disease. This article aims to provide a comprehensive review of the existing literature, delving into the performance and efficacy of various CRC screening strategies. It navigates through available screening tools, evaluating their efficacy and cost-effectiveness. The discussion extends to delineating target populations for screening, emphasizing the importance of tailored approaches for individuals at heightened risk.
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Affiliation(s)
- Marcello Maida
- Department of Medicine and Surgery, University of Enna ‘Kore’, 94100 Enna, Italy;
| | - Dushyant Singh Dahiya
- Division of Gastroenterology, Hepatology and Motility, The University of Kansas School of Medicine, Kansas City, KS 66160, USA
| | - Yash R. Shah
- Department of Internal Medicine, Trinity Health Oakland/Wayne State University, Pontiac, MI 48341, USA
| | - Angad Tiwari
- Department of Internal Medicine, Maharani Laxmi Bai Medical College, Jhansi 284001, India;
| | - Harishankar Gopakumar
- Division of Gastroenterology and Hepatology, University of Illinois College of Medicine at Peoria, Peoria, IL 61605, USA; (H.G.); (I.V.)
| | - Ishaan Vohra
- Division of Gastroenterology and Hepatology, University of Illinois College of Medicine at Peoria, Peoria, IL 61605, USA; (H.G.); (I.V.)
| | - Aqsa Khan
- Department of Internal Medicine, Parkview Health, Fort Wayne, IN 46805, USA;
| | - Fouad Jaber
- Department of Internal Medicine, University of Missouri-Kansas City, Kansas City, KS 64110, USA;
| | - Daryl Ramai
- Division of Gastroenterology and Hepatology, The University of Utah School of Medicine, Salt Lake City, UT 84132, USA;
| | - Antonio Facciorusso
- Gastroenterology Unit, Department of Biomedical Science, Foggia University Hospital, 71122 Foggia, Italy
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3
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Kavun A, Veselovsky E, Lebedeva A, Belova E, Kuznetsova O, Yakushina V, Grigoreva T, Mileyko V, Fedyanin M, Ivanov M. Microsatellite Instability: A Review of Molecular Epidemiology and Implications for Immune Checkpoint Inhibitor Therapy. Cancers (Basel) 2023; 15:cancers15082288. [PMID: 37190216 DOI: 10.3390/cancers15082288] [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: 03/01/2023] [Revised: 04/10/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Microsatellite instability (MSI) is one of the most important molecular characteristics of a tumor, which occurs among various tumor types. In this review article, we examine the molecular characteristics of MSI tumors, both sporadic and Lynch-associated. We also overview the risks of developing hereditary forms of cancer and potential mechanisms of tumor development in patients with Lynch syndrome. Additionally, we summarize the results of major clinical studies on the efficacy of immune checkpoint inhibitors for MSI tumors and discuss the predictive role of MSI in the context of chemotherapy and checkpoint inhibitors. Finally, we briefly discuss some of the underlying mechanisms causing therapy resistance in patients treated with immune checkpoint inhibitors.
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Affiliation(s)
| | - Egor Veselovsky
- OncoAtlas LLC, 119049 Moscow, Russia
- Department of Evolutionary Genetics of Development, Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, 119334 Moscow, Russia
| | | | - Ekaterina Belova
- OncoAtlas LLC, 119049 Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Olesya Kuznetsova
- OncoAtlas LLC, 119049 Moscow, Russia
- N.N. Blokhin Russian Cancer Research Center, 115478 Moscow, Russia
| | - Valentina Yakushina
- OncoAtlas LLC, 119049 Moscow, Russia
- Laboratory of Epigenetics, Research Centre for Medical Genetics, 115522 Moscow, Russia
| | - Tatiana Grigoreva
- OncoAtlas LLC, 119049 Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997 Moscow, Russia
| | | | - Mikhail Fedyanin
- N.N. Blokhin Russian Cancer Research Center, 115478 Moscow, Russia
- State Budgetary Institution of Health Care of the City of Moscow "Moscow Multidisciplinary Clinical Center" "Kommunarka" of the Department of Health of the City of Moscow, 142770 Moscow, Russia
- Federal State Budgetary Institution "National Medical and Surgical Center named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, 105203 Moscow, Russia
| | - Maxim Ivanov
- OncoAtlas LLC, 119049 Moscow, Russia
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
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4
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Abildgaard AB, Nielsen SV, Bernstein I, Stein A, Lindorff-Larsen K, Hartmann-Petersen R. Lynch syndrome, molecular mechanisms and variant classification. Br J Cancer 2023; 128:726-734. [PMID: 36434153 PMCID: PMC9978028 DOI: 10.1038/s41416-022-02059-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/27/2022] Open
Abstract
Patients with the heritable cancer disease, Lynch syndrome, carry germline variants in the MLH1, MSH2, MSH6 and PMS2 genes, encoding the central components of the DNA mismatch repair system. Loss-of-function variants disrupt the DNA mismatch repair system and give rise to a detrimental increase in the cellular mutational burden and cancer development. The treatment prospects for Lynch syndrome rely heavily on early diagnosis; however, accurate diagnosis is inextricably linked to correct clinical interpretation of individual variants. Protein variant classification traditionally relies on cumulative information from occurrence in patients, as well as experimental testing of the individual variants. The complexity of variant classification is due to (1) that variants of unknown significance are rare in the population and phenotypic information on the specific variants is missing, and (2) that individual variant testing is challenging, costly and slow. Here, we summarise recent developments in high-throughput technologies and computational prediction tools for the assessment of variants of unknown significance in Lynch syndrome. These approaches may vastly increase the number of interpretable variants and could also provide important mechanistic insights into the disease. These insights may in turn pave the road towards developing personalised treatment approaches for Lynch syndrome.
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Affiliation(s)
- Amanda B Abildgaard
- The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Sofie V Nielsen
- The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Inge Bernstein
- Department of Surgical Gastroenterology, Aalborg University Hospital, Aalborg, Denmark
- Institute of Clinical Medicine, Aalborg University Hospital, Aalborg University, Aalborg, Denmark
| | - Amelie Stein
- The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kresten Lindorff-Larsen
- The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Rasmus Hartmann-Petersen
- The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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5
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Aloliqi AA, Fararjeh AF, Al-Khader A, Kaddumi E, Eisa AA, Jaradat W. The Impact of DTYMK as a Prognostic Marker in Colorectal Cancer. World J Oncol 2023; 14:84-93. [PMID: 36895992 PMCID: PMC9990730 DOI: 10.14740/wjon1571] [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: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 03/01/2023] Open
Abstract
Background Overexpression of deoxythymidylate kinase (DTYMK) has been associated with more aggressiveness and pathological behaviors in hepatocellular carcinoma (HCC) and non-small cell lung cancer (NSCLC). However, the expression of DTYMK and its prognostic significance in colorectal cancer (CRC) patients are yet unknown. The goal of this study was to investigate the DTYMK immunohistochemistry reactivity in CRC tissues and to see how it correlated with various histological and clinical features as well as survival. Methods Several bioinformatics databases and two tissue microarrays (TMAs) of 227 cases were used in this study. Immunohistochemistry assay was used to study the protein expression of DTYMK. Results Based on the GEPIA, UALCAN, and Oncomine databases, DTYMK expression has increased in tumor tissues at both RNA and protein levels in colorectal adenocarcinoma (COAD) compared to normal tissues. A high DTYMK H-score was found in 122/227 (53%) of the cases, whereas a low DTYMK H-score was found in 105/227. The age at diagnosis (P = 0.036), stage of the disease (P = 0.038), and site of origin (P = 0.032) were all linked to a high DTYMK H-score. Patients with high level of DTYMK had bad overall survival. Interestingly, high DTYMK protein level was associated with PSM2 (P = 0.002) and MSH2 (P = 0.003), but not with MLH2 or MSH6. Conclusion This is the first study to cover the expression and prognostic significance of DTYMK in CRC. DTYMK was upregulated in CRC and could be considered as a prognostic biomarker.
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Affiliation(s)
- Abdulaziz A Aloliqi
- Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.,These authors contributed equally to this article
| | - Abdul-Fattah Fararjeh
- Department of Medical Laboratory Sciences, Faculty of Science, Al-Balqa Applied University, Al-salt, Jordan.,These authors contributed equally to this article
| | - Ali Al-Khader
- Department of Pathology and Forensic Medicine, Faculty of Medicine, Al-Balqa Applied University, Al-salt, Jordan.,Department of pathology, Al-Hussein Salt Hospital, Al-salt, Jordan
| | - Ezidin Kaddumi
- Department of Basic Medical Sciences, Faculty of Medicine, Al-Balqa Applied University, Al-salt, Jordan
| | - Alaa Abdulaziz Eisa
- Department of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia
| | - Weam Jaradat
- Department of Medical Laboratory Sciences, Faculty of Graduate Study, Al-Balqa Applied University, Al-Salt, Jordan
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6
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Ballinger ML, Pattnaik S, Mundra PA, Zaheed M, Rath E, Priestley P, Baber J, Ray-Coquard I, Isambert N, Causeret S, van der Graaf WTA, Puri A, Duffaud F, Le Cesne A, Seddon B, Chandrasekar C, Schiffman JD, Brohl AS, James PA, Kurtz JE, Penel N, Myklebost O, Meza-Zepeda LA, Pickett H, Kansara M, Waddell N, Kondrashova O, Pearson JV, Barbour AP, Li S, Nguyen TL, Fatkin D, Graham RM, Giannoulatou E, Green MJ, Kaplan W, Ravishankar S, Copty J, Powell JE, Cuppen E, van Eijk K, Veldink J, Ahn JH, Kim JE, Randall RL, Tucker K, Judson I, Sarin R, Ludwig T, Genin E, Deleuze JF, Haber M, Marshall G, Cairns MJ, Blay JY, Thomas DM, Tattersall M, Neuhaus S, Lewis C, Tucker K, Carey-Smith R, Wood D, Porceddu S, Dickinson I, Thorne H, James P, Ray-Coquard I, Blay JY, Cassier P, Le Cesne A, Duffaud F, Penel N, Isambert N, Kurtz JE, Puri A, Sarin R, Ahn JH, Kim JE, Ward I, Judson I, van der Graaf W, Seddon B, Chandrasekar C, Rickar R, Hennig I, Schiffman J, Randall RL, Silvestri A, Zaratzian A, Tayao M, Walwyn K, Niedermayr E, Mang D, Clark R, Thorpe T, MacDonald J, Riddell K, Mar J, Fennelly V, Wicht A, Zielony B, Galligan E, Glavich G, Stoeckert J, Williams L, Djandjgava L, Buettner I, Osinki C, Stephens S, Rogasik M, Bouclier L, Girodet M, Charreton A, Fayet Y, Crasto S, Sandupatla B, Yoon Y, Je N, Thompson L, Fowler T, Johnson B, Petrikova G, Hambridge T, Hutchins A, Bottero D, Scanlon D, Stokes-Denson J, Génin E, Campion D, Dartigues JF, Deleuze JF, Lambert JC, Redon R, Ludwig T, Grenier-Boley B, Letort S, Lindenbaum P, Meyer V, Quenez O, Dina C, Bellenguez C, Le Clézio CC, Giemza J, Chatel S, Férec C, Le Marec H, Letenneur L, Nicolas G, Rouault K. Heritable defects in telomere and mitotic function selectively predispose to sarcomas. Science 2023; 379:253-260. [PMID: 36656928 DOI: 10.1126/science.abj4784] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 11/16/2022] [Indexed: 01/20/2023]
Abstract
Cancer genetics has to date focused on epithelial malignancies, identifying multiple histotype-specific pathways underlying cancer susceptibility. Sarcomas are rare malignancies predominantly derived from embryonic mesoderm. To identify pathways specific to mesenchymal cancers, we performed whole-genome germline sequencing on 1644 sporadic cases and 3205 matched healthy elderly controls. Using an extreme phenotype design, a combined rare-variant burden and ontologic analysis identified two sarcoma-specific pathways involved in mitotic and telomere functions. Variants in centrosome genes are linked to malignant peripheral nerve sheath and gastrointestinal stromal tumors, whereas heritable defects in the shelterin complex link susceptibility to sarcoma, melanoma, and thyroid cancers. These studies indicate a specific role for heritable defects in mitotic and telomere biology in risk of sarcomas.
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Affiliation(s)
- Mandy L Ballinger
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Swetansu Pattnaik
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Piyushkumar A Mundra
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Milita Zaheed
- Hereditary Cancer Centre, Prince of Wales Hospital, Sydney 2031, Australia
| | - Emma Rath
- Garvan Institute of Medical Research, Sydney 2010, Australia
| | - Peter Priestley
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
- Hartwig Medical Foundation Australia, Sydney 2000, Australia
| | - Jonathan Baber
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
- Hartwig Medical Foundation Australia, Sydney 2000, Australia
| | - Isabelle Ray-Coquard
- Department of Adult Medical Oncology, Centre Leon Berard, University Claude Bernard, 69373 Lyon, France
| | | | | | | | - Ajay Puri
- Department of Orthopedic Oncology, Tata Memorial Hospital, Mumbai, Maharashtra 400012, India
| | | | | | - Beatrice Seddon
- Sarcoma Unit, University College Hospital, London NW1 2BU, UK
| | | | - Joshua D Schiffman
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Andrew S Brohl
- Sarcoma Department, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Paul A James
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne 3010, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne 3000, Australia
| | | | | | - Ola Myklebost
- Western Norway Familial Cancer Centre, Haukeland University Hospital, 5021 Bergen, Norway
- Department of Clinical Science, University of Bergen, 5007 Bergen, Norway
- Institute for Cancer Research, Oslo University Hospital, N-0424 Oslo, Norway
| | | | - Hilda Pickett
- Children's Medical Research Institute, The University of Sydney, Westmead 2145, Australia
| | - Maya Kansara
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | - Nicola Waddell
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - Olga Kondrashova
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - John V Pearson
- QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia
| | - Andrew P Barbour
- Faculty of Medicine. The University of Queensland, Brisbane 4072, Australia
| | - Shuai Li
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne 3010, Australia
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3800, Australia
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3051, Australia
| | - Tuong L Nguyen
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne 3010, Australia
| | - Diane Fatkin
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Darlinghurst 2010, Australia
- Cardiology Department, St Vincent's Hospital, Sydney 2010, Australia
| | - Robert M Graham
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Darlinghurst 2010, Australia
| | - Eleni Giannoulatou
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
- Computational Genomics Division, Victor Chang Cardiac Research Institute, Sydney 2010, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney 2052, Australia
- Neuorscience Research Australia, Sydney 2031, Australia
| | - Warren Kaplan
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
| | | | - Joseph Copty
- Garvan Institute of Medical Research, Sydney 2010, Australia
| | - Joseph E Powell
- Garvan Institute of Medical Research, Sydney 2010, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney 2052, Australia
| | - Edwin Cuppen
- Hartwig Medical Foundation, 1098 XH Amsterdam, Netherlands
| | - Kristel van Eijk
- Department of Neurology, University Medical Centre Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, Netherlands
| | - Jan Veldink
- Department of Neurology, University Medical Centre Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, Netherlands
| | - Jin-Hee Ahn
- Department of Oncology, Asan Medical Centre, Seoul 05505, South Korea
| | - Jeong Eun Kim
- Department of Oncology, Asan Medical Centre, Seoul 05505, South Korea
| | - R Lor Randall
- Department of Orthopaedic Surgery, University of California, Davis Health, Sacramento, CA 95817, USA
| | - Kathy Tucker
- Hereditary Cancer Centre, Prince of Wales Hospital, Sydney 2031, Australia
| | - Ian Judson
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK
| | - Rajiv Sarin
- Cancer Genetics Unit, ACTREC, Tata Memorial Centre, Mumbai, Maharashtra 410210, India
| | - Thomas Ludwig
- Université de Brest, Inserm, EFS, UMR 1078, GGB, CHU de Brest, 29200 Brest, France
| | - Emmanuelle Genin
- Université de Brest, Inserm, EFS, UMR 1078, GGB, CHU de Brest, 29200 Brest, France
| | - Jean-Francois Deleuze
- Centre National de Recherche en Génomique Humaine, Institut de Génomique, 91057 Evry, France
| | - Michelle Haber
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Kensington 2033, Australia
| | - Glenn Marshall
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Kensington 2033, Australia
- Kids Cancer Centre, Sydney Children's Hospital, Randwick 2031, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan 2308, Australia
- Centre for Brain and Mental Health Research, The Hunter Medical Research Institute, Newcastle 2305, Australia
| | - Jean-Yves Blay
- Department of Adult Medical Oncology, Centre Leon Berard, University Claude Bernard, 69373 Lyon, France
| | - David M Thomas
- Garvan Institute of Medical Research, Sydney 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney 2010, Australia
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MyLynch: A Patient-Facing Clinical Decision Support Tool for Genetically-Guided Personalized Medicine in Lynch Syndrome. Cancers (Basel) 2023; 15:cancers15020391. [PMID: 36672340 PMCID: PMC9856567 DOI: 10.3390/cancers15020391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 01/11/2023] Open
Abstract
Lynch syndrome (LS) is a hereditary cancer susceptibility condition associated with varying cancer risks depending on which of the five causative genes harbors a pathogenic variant; however, lifestyle and medical interventions provide options to lower those risks. We developed MyLynch, a patient-facing clinical decision support (CDS) web application that applies genetically-guided personalized medicine (GPM) for individuals with LS. The tool was developed in R Shiny through a patient-focused iterative design process. The knowledge base used to estimate patient-specific risk leveraged a rigorously curated literature review. MyLynch informs LS patients of their personal cancer risks, educates patients on relevant interventions, and provides patients with adjusted risk estimates, depending on the interventions they choose to pursue. MyLynch can improve risk communication between patients and providers while also encouraging communication among relatives with the goal of increasing cascade testing. As genetic panel testing becomes more widely available, GPM will play an increasingly important role in patient care, and CDS tools offer patients and providers tailored information to inform decision-making. MyLynch provides personalized cancer risk estimates and interventions to lower these risks for patients with LS.
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Burke ND, Nixon B, Roman SD, Schjenken JE, Walters JLH, Aitken RJ, Bromfield EG. Male infertility and somatic health - insights into lipid damage as a mechanistic link. Nat Rev Urol 2022; 19:727-750. [PMID: 36100661 DOI: 10.1038/s41585-022-00640-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/27/2022] [Indexed: 11/08/2022]
Abstract
Over the past decade, mounting evidence has shown an alarming association between male subfertility and poor somatic health, with substantial evidence supporting the increased incidence of oncological disease, cardiovascular disease, metabolic disorders and autoimmune diseases in men who have previously received a subfertility diagnosis. This paradigm is concerning, but might also provide a novel window for a crucial health reform in which the infertile phenotype could serve as an indication of potential pathological conditions. One of the major limiting factors in this association is the poor understanding of the molecular features that link infertility with comorbidities across the life course. Enzymes involved in the lipid oxidation process might provide novel clues to reconcile the mechanistic basis of infertility with incident pathological conditions. Building research capacity in this area is essential to enhance the early detection of disease states and provide crucial information about the disease risk of offspring conceived through assisted reproduction.
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Affiliation(s)
- Nathan D Burke
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
| | - Brett Nixon
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
| | - Shaun D Roman
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
- Priority Research Centre for Drug Development, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
| | - John E Schjenken
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
| | - Jessica L H Walters
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
| | - R John Aitken
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia
| | - Elizabeth G Bromfield
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Discipline of Biological Sciences, University of Newcastle, Callaghan, New South Wales, Australia.
- Hunter Medical Research Institute, Infertility and Reproduction Research Program, New Lambton Heights, New South Wales, Australia.
- Department of Biomolecular Health Sciences, Utrecht University, Utrecht, Netherlands.
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9
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Long JM, Ebrahimzadeh J, Stanich PP, Katona BW. Endoscopic Surveillance in Patients with the Highest Risk of Gastric Cancer: Challenges and Solutions. Cancer Manag Res 2022; 14:2953-2969. [PMID: 36238953 PMCID: PMC9553156 DOI: 10.2147/cmar.s277898] [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] [Accepted: 09/22/2022] [Indexed: 11/23/2022] Open
Abstract
Gastric cancer is one of the most significant causes of cancer-related morbidity and mortality worldwide. Recognized modifiable risk factors include Helicobacter pylori infection, geographic location, select dietary factors, tobacco use and alcohol consumption. In addition, multiple hereditary cancer predisposition syndromes are associated with significantly elevated gastric cancer risk. Endoscopic surveillance in hereditary gastric cancer predisposition syndromes has the potential to identify gastric cancer at earlier and more treatable stages, as well as to prevent development of gastric cancer through identification of precancerous lesions. However, much uncertainty remains regarding use of endoscopic surveillance in hereditary gastric cancer predisposition syndromes, including whether or not it should be routinely performed, the surveillance interval and age of initiation, cost-effectiveness, and whether surveillance ultimately improves survival from gastric cancer for these high-risk individuals. In this review, we outline the hereditary gastric cancer predisposition syndromes associated with the highest gastric cancer risks. Additionally, we cover current evidence and guidelines addressing hereditary gastric cancer risk and surveillance in these syndromes, along with current challenges and limitations that emphasize a need for continued research in this field.
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Affiliation(s)
- Jessica M Long
- Division of Hematology and Oncology, Penn Medicine, Philadelphia, PA, USA
| | | | - Peter P Stanich
- Division of Gastroenterology, Hepatology & Nutrition, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Bryson W Katona
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Correspondence: Bryson W Katona, Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, 751 South Pavilion, Philadelphia, PA, 19104, USA, Tel +1-215-349-8222, Fax +1-215-349-5915, Email
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10
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Shyr C, Blackford AL, Huang T, Ke J, Ouardaoui N, Trippa L, Syngal S, Ukaegbu C, Uno H, Nafa K, Stadler ZK, Offit K, Amos CI, Lynch PM, Chen S, Giardiello FM, Buchanan DD, Hopper JL, Jenkins MA, Southey MC, Win AK, Figueiredo JC, Braun D, Parmigiani G. A validation of models for prediction of pathogenic variants in mismatch repair genes. Genet Med 2022; 24:2155-2166. [PMID: 35997715 PMCID: PMC10312204 DOI: 10.1016/j.gim.2022.07.004] [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: 04/07/2022] [Revised: 06/30/2022] [Accepted: 07/01/2022] [Indexed: 10/15/2022] Open
Abstract
PURPOSE Models used to predict the probability of an individual having a pathogenic homozygous or heterozygous variant in a mismatch repair gene, such as MMRpro, are widely used. Recently, MMRpro was updated with new colorectal cancer penetrance estimates. The purpose of this study was to evaluate the predictive performance of MMRpro and other models for individuals with a family history of colorectal cancer. METHODS We performed a validation study of 4 models, Leiden, MMRpredict, PREMM5, and MMRpro, using 784 members of clinic-based families from the United States. Predicted probabilities were compared with germline testing results and evaluated for discrimination, calibration, and predictive accuracy. We analyzed several strategies to combine models and improve predictive performance. RESULTS MMRpro with additional tumor information (MMRpro+) and PREMM5 outperformed the other models in discrimination and predictive accuracy. MMRpro+ was the best calibrated with an observed to expected ratio of 0.98 (95% CI = 0.89-1.08). The combination models showed improvement over PREMM5 and performed similar to MMRpro+. CONCLUSION MMRpro+ and PREMM5 performed well in predicting the probability of having a pathogenic homozygous or heterozygous variant in a mismatch repair gene. They serve as useful clinical decision tools for identifying individuals who would benefit greatly from screening and prevention strategies.
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Affiliation(s)
- Cathy Shyr
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Amanda L Blackford
- Division of Biostatistics and Bioinformatics, Johns Hopkins School of Medicine, Baltimore, MD
| | - Theodore Huang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jianfeng Ke
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA; Department of Mathematical Sciences, Tsinghua University, Beijing, China
| | - Nofal Ouardaoui
- Department of Computer Science, School of Engineering, Tufts University, Medford, MA
| | - Lorenzo Trippa
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Sapna Syngal
- Cancer Genetics and Prevention Division, Dana-Farber Cancer Institute, Boston, MA; Division of Gastroenterology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA
| | - Chinedu Ukaegbu
- Cancer Genetics and Prevention Division, Dana-Farber Cancer Institute, Boston, MA
| | - Hajime Uno
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA; McGraw/Patterson Center for Population Sciences, Dana-Farber Cancer Institute, Boston, MA
| | - Khedoudja Nafa
- Department of Pathology and Laboratory Medicine, Molecular Diagnostic Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zsofia K Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Comprehensive Cancer Center, New York, NY; Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Comprehensive Cancer Center, New York, NY; Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX
| | - Patrick M Lynch
- Gastroenterology, Hepatology and Nutrition, University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Francis M Giardiello
- Department of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA.
| | - Giovanni Parmigiani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
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11
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Liang JW, Idos GE, Hong C, Gruber SB, Parmigiani G, Braun D. Statistical methods for Mendelian models with multiple genes and cancers. Genet Epidemiol 2022; 46:395-414. [PMID: 35583099 PMCID: PMC9452449 DOI: 10.1002/gepi.22460] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/06/2022] [Accepted: 05/05/2022] [Indexed: 01/29/2023]
Abstract
Risk evaluation to identify individuals who are at greater risk of cancer as a result of heritable pathogenic variants is a valuable component of individualized clinical management. Using principles of Mendelian genetics, Bayesian probability theory, and variant-specific knowledge, Mendelian models derive the probability of carrying a pathogenic variant and developing cancer in the future, based on family history. Existing Mendelian models are widely employed, but are generally limited to specific genes and syndromes. However, the upsurge of multigene panel germline testing has spurred the discovery of many new gene-cancer associations that are not presently accounted for in these models. We have developed PanelPRO, a flexible, efficient Mendelian risk prediction framework that can incorporate an arbitrary number of genes and cancers, overcoming the computational challenges that arise because of the increased model complexity. We implement an 11-gene, 11-cancer model, the largest Mendelian model created thus far, based on this framework. Using simulations and a clinical cohort with germline panel testing data, we evaluate model performance, validate the reverse-compatibility of our approach with existing Mendelian models, and illustrate its usage. Our implementation is freely available for research use in the PanelPRO R package.
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Affiliation(s)
- Jane W. Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gregory E. Idos
- Center for Precision Medicine, City of Hope, Duarte, CA, USA
| | - Christine Hong
- Center for Precision Medicine, City of Hope, Duarte, CA, USA
| | | | - Giovanni Parmigiani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
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12
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Phen C, Berens D, Moriarty K, Ng K, Sengupta A, Rojas I. Polygenic early-onset colorectal cancer in pediatric patients. Pediatr Blood Cancer 2022; 69:e29790. [PMID: 35670754 DOI: 10.1002/pbc.29790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 11/07/2022]
Abstract
Colorectal cancer in the pediatric population is a rare but transpirable phenomenon. The occurrence should prompt suspicion for underlying genetic mutations in the setting of a hereditary cancer predisposition syndrome. In this series, we outline three pediatric patients with colonic adenocarcinoma who were found to have one or more germline mutations. The presence of compound mutations may lead to a hypermutator phenotype resulting in earlier presentation of colorectal cancer in childhood and adolescence. The diagnosis of colorectal cancer in pediatric patients warrants timely recognition, multigene panel testing, genetic counseling for the patient and family, and increased surveillance for intestinal and extra-intestinal tumors.
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Affiliation(s)
- Claudia Phen
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Donovan Berens
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kelsey Moriarty
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kenneth Ng
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Anita Sengupta
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Isabel Rojas
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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13
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Lee G, Liang JW, Zhang Q, Huang T, Choirat C, Parmigani G, Braun D. Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO. eLife 2021; 10:68699. [PMID: 34406119 PMCID: PMC8478415 DOI: 10.7554/elife.68699] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 08/16/2021] [Indexed: 01/01/2023] Open
Abstract
Identifying individuals who are at high risk of cancer due to inherited germline mutations is critical for effective implementation of personalized prevention strategies. Most existing models focus on a few specific syndromes; however, recent evidence from multi-gene panel testing shows that many syndromes are overlapping, motivating the development of models that incorporate family history on several cancers and predict mutations for a comprehensive panel of genes. We present PanelPRO, a new, open-source R package providing a fast, flexible back-end for multi-gene, multi-cancer risk modeling with pedigree data. It includes a customizable database with default parameter values estimated from published studies and allows users to select any combinations of genes and cancers for their models, including well-established single syndrome BayesMendel models (BRCAPRO and MMRPRO). This leads to more accurate risk predictions and ultimately has a high impact on prevention strategies for cancer and clinical decision making. The package is available for download for research purposes at https://projects.iq.harvard.edu/bayesmendel/panelpro.
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Affiliation(s)
- Gavin Lee
- Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
| | - Jane W Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Qing Zhang
- Broad Institute of MIT and Harvard, Cambridge, United States
| | - Theodore Huang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Christine Choirat
- Swiss Data Science Center, ETH Zürich and EPFL, Lausanne, Switzerland
| | - Giovanni Parmigani
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, United States
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14
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Frederiksen JH, Jensen SB, Tümer Z, Hansen TVO. Classification of MSH6 Variants of Uncertain Significance Using Functional Assays. Int J Mol Sci 2021; 22:ijms22168627. [PMID: 34445333 PMCID: PMC8395337 DOI: 10.3390/ijms22168627] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/27/2021] [Indexed: 12/20/2022] Open
Abstract
Lynch syndrome (LS) is one of the most common hereditary cancer predisposition syndromes worldwide. Individuals with LS have a high risk of developing colorectal or endometrial cancer, as well as several other cancers. LS is caused by autosomal dominant pathogenic variants in one of the DNA mismatch repair (MMR) genes MLH1, MSH2, PMS2 or MSH6, and typically include truncating variants, such as frameshift, nonsense or splicing variants. However, a significant number of missense, intronic, or silent variants, or small in-frame insertions/deletions, are detected during genetic screening of the MMR genes. The clinical effects of these variants are often more difficult to predict, and a large fraction of these variants are classified as variants of uncertain significance (VUS). It is pivotal for the clinical management of LS patients to have a clear genetic diagnosis, since patients benefit widely from screening, preventive and personal therapeutic measures. Moreover, in families where a pathogenic variant is identified, testing can be offered to family members, where non-carriers can be spared frequent surveillance, while carriers can be included in cancer surveillance programs. It is therefore important to reclassify VUSs, and, in this regard, functional assays can provide insight into the effect of a variant on the protein or mRNA level. Here, we briefly describe the disorders that are related to MMR deficiency, as well as the structure and function of MSH6. Moreover, we review the functional assays that are used to examine VUS identified in MSH6 and discuss the results obtained in relation to the ACMG/AMP PS3/BS3 criterion. We also provide a compiled list of the MSH6 variants examined by these assays. Finally, we provide a future perspective on high-throughput functional analyses with specific emphasis on the MMR genes.
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Affiliation(s)
- Jane H. Frederiksen
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; (S.B.J.); (Z.T.)
- Department of Pediatrics and Adolescent Medicine, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
- Correspondence: (J.H.F.); (T.v.O.H.)
| | - Sara B. Jensen
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; (S.B.J.); (Z.T.)
| | - Zeynep Tümer
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; (S.B.J.); (Z.T.)
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Thomas v. O. Hansen
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; (S.B.J.); (Z.T.)
- Department of Pediatrics and Adolescent Medicine, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
- Correspondence: (J.H.F.); (T.v.O.H.)
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15
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Zhang M, Chen T. Overview on population screening for carriers with germline mutations in mismatch repair (MMR) genes in China. Hered Cancer Clin Pract 2021; 19:26. [PMID: 33933134 PMCID: PMC8088635 DOI: 10.1186/s13053-021-00182-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/20/2021] [Indexed: 11/11/2022] Open
Abstract
DNA mismatch repair (MMR) genes play an important role in maintaining genome stability. Germline mutations in MMR genes disrupt the mismatch repair function and cause genome instability. Carriers with MMR germline mutations are more likely to have MMR deficiency and microsatellite instability (MSI) than non-carriers and are prone to develop colorectal cancer (CRC) and extracolorectal malignancies, known as Lynch syndrome (LS). MMR gene testing for suspected mutation carriers is a reliable method to identify the mutation types and to discover mutation carriers. Given that carriers of MMR germline mutations have a higher risk of LS-related cancers (LS-RC) and a younger age at onset than non-carriers, early surveillance and regular screening of relevant organs of carriers are very important for early detection of related cancers. This review mainly focuses on the general status of MMR carriers, the approaches for early detection and screening, and the surveillance of MMR mutation carriers in China. Population screening of MMR germline mutation carriers in China will be helpful for early detection, early diagnosis and treatment of MMR mutation carriers, which may improve the 5-year survival, and reduce mortality and incidence rate in the long term.
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Affiliation(s)
- Min Zhang
- School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Tianhui Chen
- Department of Cancer Prevention/Experimental Research Center, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China.
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16
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Lynch PM, Pande M. Refining Risk Estimates in Hereditary Nonpolyposis Colorectal Cancer: Are We There Yet? JNCI Cancer Spectr 2020; 4:pkaa030. [PMID: 33134819 PMCID: PMC7583147 DOI: 10.1093/jncics/pkaa030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/31/2020] [Accepted: 04/21/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Patrick M Lynch
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mala Pande
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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