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Martins Rodrigues F, Jasielec J, Perpich M, Kim A, Moma L, Li Y, Storrs E, Wendl MC, Jayasinghe RG, Fiala M, Stefka A, Derman B, Jakubowiak AJ, DiPersio JF, Vij R, Godley LA, Ding L. Germline predisposition in multiple myeloma. iScience 2025; 28:111620. [PMID: 39845416 PMCID: PMC11750583 DOI: 10.1016/j.isci.2024.111620] [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: 09/08/2024] [Revised: 10/04/2024] [Accepted: 11/14/2024] [Indexed: 01/24/2025] Open
Abstract
We present a study of rare germline predisposition variants in 954 unrelated individuals with multiple myeloma (MM) and 82 MM families. Using a candidate gene approach, we identified such variants across all age groups in 9.1% of sporadic and 18% of familial cases. Implicated genes included genes suggested in other MM risk studies as potential risk genes (DIS3, EP300, KDM1A, and USP45); genes involved in predisposition to other cancers (ATM, BRCA1/2, CHEK2, PMS2, POT1, PRF1, and TP53); and BRIP1, EP300, and FANCM in individuals of African ancestry. Variants were characterized using loss of heterozygosity (LOH), biallelic events, and gene expression analyses, revealing 31 variants in 3.25% of sporadic cases for which pathogenicity was supported by multiple lines of evidence. Our results suggest that the disruption of DNA damage repair pathways may play a role in MM susceptibility. These results will inform improved surveillance in high-risk groups and potential therapeutic strategies.
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Affiliation(s)
- Fernanda Martins Rodrigues
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jagoda Jasielec
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Melody Perpich
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Aelin Kim
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Luke Moma
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Yize Li
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Erik Storrs
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Michael C. Wendl
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Reyka G. Jayasinghe
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Mark Fiala
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew Stefka
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Benjamin Derman
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Andrzej J. Jakubowiak
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - John F. DiPersio
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ravi Vij
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Lucy A. Godley
- Division of Hematology/Oncology, Department of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Li Ding
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA
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2
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Bodnar S, Brander T, Gold J, Iverson A, Lagana A, Onel K, Jagannath S, Parekh S, Thibaud S. FaMMily Affairs: Dissecting inherited contributions to multiple myeloma risk. Semin Hematol 2024:S0037-1963(24)00131-8. [PMID: 39721861 DOI: 10.1053/j.seminhematol.2024.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 11/18/2024] [Accepted: 11/27/2024] [Indexed: 12/28/2024]
Abstract
Etiological links to multiple myeloma (MM) remain poorly understood, though emerging evidence suggests a significant hereditary component. This review integrates current literature on inherited factors contributing to MM risk, synthesizing both epidemiologic and genomic data. We examine familial clustering patterns, assess genome-wide association studies (GWAS) that reveal common genetic variants linked to MM, and explore rare, high-penetrance variants in key susceptibility genes. Additionally, we advocate for routine germline screening in high-risk MM populations, particularly those with a strong family history of cancer, a personal history of cancer, or early-onset disease. By elucidating the inherited influences on MM predisposition, this review seeks to inform future research and refine risk assessment strategies in this population.
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Affiliation(s)
- Saoirse Bodnar
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Tehilla Brander
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Julie Gold
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ayuko Iverson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alessandro Lagana
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kenan Onel
- Clinical Genetics Service, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Sundar Jagannath
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Samir Parekh
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Santiago Thibaud
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY.
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3
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Went M, Duran-Lozano L, Halldorsson GH, Gunnell A, Ugidos-Damboriena N, Law P, Ekdahl L, Sud A, Thorleifsson G, Thodberg M, Olafsdottir T, Lamarca-Arrizabalaga A, Cafaro C, Niroula A, Ajore R, Lopez de Lapuente Portilla A, Ali Z, Pertesi M, Goldschmidt H, Stefansdottir L, Kristinsson SY, Stacey SN, Love TJ, Rognvaldsson S, Hajek R, Vodicka P, Pettersson-Kymmer U, Späth F, Schinke C, Van Rhee F, Sulem P, Ferkingstad E, Hjorleifsson Eldjarn G, Mellqvist UH, Jonsdottir I, Morgan G, Sonneveld P, Waage A, Weinhold N, Thomsen H, Försti A, Hansson M, Juul-Vangsted A, Thorsteinsdottir U, Hemminki K, Kaiser M, Rafnar T, Stefansson K, Houlston R, Nilsson B. Deciphering the genetics and mechanisms of predisposition to multiple myeloma. Nat Commun 2024; 15:6644. [PMID: 39103364 DOI: 10.1038/s41467-024-50932-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024] Open
Abstract
Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study totaling 10,906 cases and 366,221 controls, we identify 35 MM risk loci, 12 of which are novel. Through functional fine-mapping and Mendelian randomization, we uncover two causal mechanisms for inherited MM risk: longer telomeres; and elevated levels of B-cell maturation antigen (BCMA) and interleukin-5 receptor alpha (IL5RA) in plasma. The largest increase in BCMA and IL5RA levels is mediated by the risk variant rs34562254-A at TNFRSF13B. While individuals with loss-of-function variants in TNFRSF13B develop B-cell immunodeficiency, rs34562254-A exerts a gain-of-function effect, increasing MM risk through amplified B-cell responses. Our results represent an analysis of genetic MM predisposition, highlighting causal mechanisms contributing to MM development.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Laura Duran-Lozano
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Andrea Gunnell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Nerea Ugidos-Damboriena
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Ludvig Ekdahl
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | | | - Malte Thodberg
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Antton Lamarca-Arrizabalaga
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Caterina Cafaro
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Abhishek Niroula
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Ram Ajore
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Aitzkoa Lopez de Lapuente Portilla
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Zain Ali
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Maroulio Pertesi
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
| | | | - Sigurdur Y Kristinsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Simon N Stacey
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Thorvardur J Love
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Saemundur Rognvaldsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Roman Hajek
- University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | - Pavel Vodicka
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | | | - Florentin Späth
- Department of Radiation Sciences, Umeå University, SE-901 87, Umeå, Sweden
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits Van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Sulem
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | | | | | | | | | - Gareth Morgan
- Perlmutter Cancer Center, Langone Health, New York University, New York, NY, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
| | | | - Asta Försti
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Hopp Children's Cancer Center, Heidelberg, Germany
| | - Markus Hansson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Annette Juul-Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Kari Hemminki
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Faculty of Medicine in Pilsen, Charles University, 30605, Pilsen, Czech Republic
| | - Martin Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Thorunn Rafnar
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
| | - Björn Nilsson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden.
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden.
- Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA.
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4
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Akkus E, Tuncalı T, Akın HY, Aydın Y, Beşışık SK, Gürkan E, Ratip S, Salihoğlu A, Sargın D, Ünal A, Turcan A, Sevindik ÖG, Demir M, Beksac M. Germline genetic variants in Turkish familial multiple myeloma/monoclonal gammopathy of undetermined significance cases. Br J Haematol 2024; 204:931-938. [PMID: 38115798 DOI: 10.1111/bjh.19271] [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: 10/06/2023] [Revised: 11/27/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Multiple myeloma (MM) is a haematological malignancy primarily affecting the elderly, with a striking male predilection and ethnic disparities in incidence. Familial predisposition to MM has long been recognized, but the genetic underpinnings remain elusive. This study aimed to investigate germline variants in Turkish families with recurrent MM cases. A total of 37 MM-affected families, comprising 77 individuals, were included. Targeted next-generation sequencing analysis yielded no previously reported rare variants. Whole exome sequencing analysis in 11 families identified rare disease-causing variants in various genes, some previously linked to familial MM and others not previously associated. Notably, genes involved in ubiquitination, V(D)J recombination and the PI3K/AKT/mTOR pathway were among those identified. Furthermore, a specific variant in BNIP1 (rs28199) was found in 13 patients across nine families, indicating its potential significance in MM pathogenesis. While this study sheds light on genetic variations in familial MM in Turkey, its limitations include sample size and the absence of in vivo investigations. In conclusion, familial MM likely involves a polygenic inheritance pattern with rare, disease-causing variants in various genes, emphasizing the need for international collaborative efforts to unravel the intricate genetic basis of MM and develop targeted therapies.
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Affiliation(s)
- Erman Akkus
- Department of Internal Medicine, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Timur Tuncalı
- Department of Medical Genetics, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Hasan Yalım Akın
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Yıldız Aydın
- Department of Hematology, Florence Nightingale Hospitals, Istanbul, Turkey
| | - Sevgi Kalayoğlu Beşışık
- Department of Internal Medicine, Division of Hematology, Istanbul University Medical Faculty, Istanbul, Turkey
| | - Emel Gürkan
- Department of Hematology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Siret Ratip
- Department of Hematology, Acibadem Healthcare Group, Istanbul, Turkey
| | - Ayşe Salihoğlu
- Department of Hematology, Istanbul University Cerrahpasa Faculty of Medicine, Istanbul, Turkey
| | - Deniz Sargın
- Department of Hematology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - Ali Ünal
- Department of Hematology, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | | | - Ömür Gökmen Sevindik
- Department of Hematology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - Muzaffer Demir
- Department of Hematology, Trakya University Faculty of Medicine, Edirne, Turkey
| | - Meral Beksac
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
- Department of Hematology, Ankara Liv Hospital, Istinye University, Ankara, Turkey
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5
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Wiernik PH, Dutcher JP. Families with non-Hodgkin lymphoma and plasma cell dyscrasias in their pedigrees. J Investig Med 2024; 72:26-31. [PMID: 37864488 DOI: 10.1177/10815589231210516] [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] [Indexed: 10/23/2023]
Abstract
Although reports of familial clustering of hematologic malignancies have appeared for decades, the cause(s) of this uncommon occurrence is still not completely understood. Most modern investigations, however, support a genetic rather than an environmental exposure as a cause of this observation. Most pedigrees of families with familial hematologic malignancies demonstrate age of onset anticipation, with the disease diagnosed at an earlier age in successive generations. The cause of this phenomenon is clear in some familial neurologic disorders (trinucleotide repeat expansion) but not at all clear in familial hematologic malignancies. In preparation for molecular studies of familial clustering of hematologic malignancies, we have collected pedigrees on 738 families and have previously demonstrated anticipation in those with familial plasma cell myeloma, chronic lymphocytic leukemia, Hodgkin lymphoma or non-Hodgkin lymphoma (NHL). Here we present data on 36 families with both plasma cell myeloma and NHL in their pedigrees and demonstrate strong evidence for anticipation in these families. We encourage all health care personnel to ask patients multiple times about family medical history and carefully take note of family histories from individuals with uncommon illnesses and to refer families with clustering of such illnesses for further investigation.
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6
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Tanguay M, Dagenais C, LeBlanc R, Ahmad I, Claveau JS, Roy J. Young Myeloma Patients: A Systematic Review of Manifestations and Outcomes. Curr Oncol 2023; 30:5214-5226. [PMID: 37366879 DOI: 10.3390/curroncol30060396] [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: 04/20/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/28/2023] Open
Abstract
Multiple myeloma usually affects older adults. However, younger patients constitute a significant subset as approximately 10% of cases occur in subjects younger than 50 years old. Young patients, who are underrepresented in the literature, are diagnosed during their most productive years of life, urging the need for tailored treatment approaches. This literature review aims to report recent studies specifically addressing young patients with a focus on characteristics at diagnosis, cytogenetics, treatments, and outcomes. We searched PubMed for studies involving young patients with multiple myeloma ≤50 years old. The time span of our literature review search was from 1 January 2010 to 31 December 2022. Overall, 16 retrospective studies were analyzed for this review. Young patients with multiple myeloma tend to have less advanced disease, more frequent light chain subtypes, and survive longer compared to their older counterparts. However, available studies included a limited number of patients; the newest revised international staging system was not used to stratify patients, cytogenetics varied from one cohort to another, and most patients did not receive contemporary triplet/quadruplet treatments. This review emphasizes the need to perform contemporary, large-scale retrospective studies to improve knowledge regarding the presentation and outcomes of young myeloma patients in the era of modern treatments.
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Affiliation(s)
- Mégane Tanguay
- Institut Universitaire d'Hémato-Oncologie et de Thérapie Cellulaire, Hôpital Maisonneuve-Rosemont, 5415 de l'Assomption, Montreal, QC H1T 2M4, Canada
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Christophe Dagenais
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
- Service de Médecine Interne, Hôpital Notre-Dame, 1560 Sherbrooke Est, Montreal, QC H2L 4M1, Canada
| | - Richard LeBlanc
- Institut Universitaire d'Hémato-Oncologie et de Thérapie Cellulaire, Hôpital Maisonneuve-Rosemont, 5415 de l'Assomption, Montreal, QC H1T 2M4, Canada
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Imran Ahmad
- Institut Universitaire d'Hémato-Oncologie et de Thérapie Cellulaire, Hôpital Maisonneuve-Rosemont, 5415 de l'Assomption, Montreal, QC H1T 2M4, Canada
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Jean-Sébastien Claveau
- Institut Universitaire d'Hémato-Oncologie et de Thérapie Cellulaire, Hôpital Maisonneuve-Rosemont, 5415 de l'Assomption, Montreal, QC H1T 2M4, Canada
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Jean Roy
- Institut Universitaire d'Hémato-Oncologie et de Thérapie Cellulaire, Hôpital Maisonneuve-Rosemont, 5415 de l'Assomption, Montreal, QC H1T 2M4, Canada
- Departement of Medicine, Université de Montréal, 2900 Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
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7
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Dumontet C, Demangel D, Galia P, Karlin L, Roche L, Fauvernier M, Golfier C, Laude M, Leleu X, Rodon P, Roussel M, Azaïs I, Doyen C, Slama B, Manier S, Decaux O, Pertesi M, Beaumont M, Caillot D, Boyle EM, Cliquennois M, Cony‐Makhoul P, Doncker A, Dorvaux V, Petillon MO, Fontan J, Hivert B, Leduc I, Leyronnas C, Macro M, Maigre M, Mariette C, Mineur P, Rigaudeau S, Royer B, Vincent L, Mckay J, Perrial E, Garderet L. Clinical characteristics and outcome of 318 families with familial monoclonal gammopathy: A multicenter Intergroupe Francophone du Myélome study. Am J Hematol 2023; 98:264-271. [PMID: 36588407 PMCID: PMC10107808 DOI: 10.1002/ajh.26785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 10/10/2022] [Accepted: 10/24/2022] [Indexed: 01/03/2023]
Abstract
Familial forms of monoclonal gammopathy, defined as multiple myeloma (MM) or Monoclonal Gammopathy of Undetermined Significance (MGUS), are relatively infrequent and most series reported in the literature describe a limited number of families. MM rarely occurs in a familial context. MGUS is observed much more commonly, which can in some cases evolve toward full-blown MM. Although recurrent cytogenetic abnormalities have been described in tumor cells of sporadic cases of MM, the pathogenesis of familial MM remains largely unexplained. In order to identify genetic factors predisposing to familial monoclonal gammopathy, the Intergroupe Francophone du Myélome identified 318 families with at least two confirmed cases of monoclonal gammopathy. There were 169 families with parent/child pairs and 164 families with cases in at least two siblings, compatible with an autosomal transmission. These familial cases were compared with sporadic cases who were matched for age at diagnosis, sex and immunoglobulin isotype, with 10 sporadic cases for each familial case. The gender distribution, age and immunoglobulin subtypes of familial cases were unremarkable in comparison to sporadic cases. With a median follow-up of 7.4 years after diagnosis, the percentage of MGUS cases having evolved to MM was 3%. The median overall survival of the 148 familial MM cases was longer than that of matched sporadic cases, with projected values of 7.6 and 16.1 years in patients older and younger than 65 years, respectively. These data suggest that familial cases of monoclonal gammopathy are similar to sporadic cases in terms of clinical presentation and carry a better prognosis.
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Affiliation(s)
- Charles Dumontet
- Hospices Civils de LyonLyonFrance
- CRCL, UMR INSERM 1052/CNRS 5286/University of Lyon‐FranceLyonFrance
| | | | | | | | | | | | | | | | | | | | | | | | | | - Borhane Slama
- Clinical Hematology DepartmentCH AvignonAvignonFrance
| | | | - Olivier Decaux
- Hematology DepartmentCHU Rennes, Inserm UMR1236RennesFrance
| | - Maroulio Pertesi
- Genetic Cancer Susceptibility, International Agency for Research on CancerLyonFrance
- Department of Laboratory MedicineHematology and Transfusion MedicineLundSweden
| | | | - Denis Caillot
- Clinical Hematology DepartmentHôpital F. Mitterrand, CHU DijonDijonFrance
| | - Eileen M. Boyle
- Perlmutter Cancer CenterNYU Langone HealthNew YorkNew YorkUSA
| | | | | | | | - Véronique Dorvaux
- Clinical Hematology DepartmentCHR Metz‐ThionvilleMetz‐ThionvilleFrance
| | | | - Jean Fontan
- Hematology DepartmentCHU BesançonBesançonFrance
| | | | | | | | | | - Michel Maigre
- Internal Medicine DepartmentCH ChartresChartresFrance
| | | | - Philippe Mineur
- Clinical Hematology DepartmentGrand Hôpital de CharleroiCharleroiBelgium
| | | | - Bruno Royer
- Clinical Hematology and Cell Therapy DepartmentAmiensFrance
| | | | - James Mckay
- Genetic Cancer Susceptibility, International Agency for Research on CancerLyonFrance
| | - Emeline Perrial
- CRCL, UMR INSERM 1052/CNRS 5286/University of Lyon‐FranceLyonFrance
| | - Laurent Garderet
- HU PITIE SALPETRIERE APHPParisFrance
- Centre de Recherche Saint‐Antoine‐Team Hematopoietic and Leukemic DevelopmentSorbonne Université‐INSERM, UMR_S 938ParisFrance
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8
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Langseth ØO, Myklebust TÅ, Johannesen TB, Hjertner Ø, Waage A. Risk of multiple myeloma and other malignancies among first- and second-degree relatives of patients with multiple myeloma: A population-based study. Eur J Haematol Suppl 2022; 108:486-492. [PMID: 35184337 PMCID: PMC9310738 DOI: 10.1111/ejh.13757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/10/2022] [Accepted: 02/14/2022] [Indexed: 01/05/2023]
Abstract
Objectives We conducted a population‐based study to assess the risk for multiple myeloma (MM) and other cancers in first‐ and second‐degree relatives of MM patients, and to investigate whether evidence of anticipation is present in familial MM. Methods We retrieved 24 845 first‐degree relatives and 41 008 second‐degree relatives of 7847 MM patients, and 86 984 first‐degree relatives, and 138 660 second‐degree relatives of 26 511 matched controls. A Cox model was used to assess the risk for MM and other cancers in relatives of MM patients. Anticipation was assessed by a Cox model, where all parents and offspring of MM patients were included in the risk set. Results In second‐degree relatives of MM patients, no overall significant association with an MM diagnosis was observed (HR 1.99; 95%CI:0.86–4.57). In parents and offspring of MM patients, we found no significant difference in the ages at onset of MM (HR 1.28;95% CI:0.50–3.28). In affected parent‐offspring pairs, we observed no statistically significant difference in overall survival between the generations (HR 0.74; 95%CI:0.20–2.69). Conclusions Overall, second‐degree relatives of MM patients were not associated with an increased risk for MM. Our study supports that genetic anticipation is not present in familial MM.
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Affiliation(s)
- Øystein O Langseth
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Hematology, St. Olav's University Hospital, Trondheim, Norway
| | - Tor Å Myklebust
- Department of Registration, Cancer Registry of Norway, Oslo, Norway.,Department of Research and Innovation, Møre and Romsdal Hospital Trust, Ålesund, Norway
| | - Tom B Johannesen
- Department of Research and Innovation, Møre and Romsdal Hospital Trust, Ålesund, Norway
| | - Øyvind Hjertner
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Hematology, St. Olav's University Hospital, Trondheim, Norway
| | - Anders Waage
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Hematology, St. Olav's University Hospital, Trondheim, Norway
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9
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Prevalence of Heavy Chain MGUS by Race and Family History Risk Groups Using a High Sensitivity Screening Method. Blood Adv 2022; 6:3746-3750. [PMID: 35316833 PMCID: PMC9631569 DOI: 10.1182/bloodadvances.2021006201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 03/02/2022] [Indexed: 11/20/2022] Open
Abstract
The mass spectrometry assay found over threefold numbers of individuals with MGUS than gel-based assays across 3 risk groups. Relative differences in MGUS using the sensitive mass spectrometry assay were similar by race, family history, and age as prior MGUS studies.
Mass-spectrometry (MS) assays detect lower levels of monoclonal proteins and result in earlier detection of monoclonal gammopathy of undetermined significance (MGUS). We examined heavy chain MGUS prevalence using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS among 3 risk groups, ages 50 or older: 327 African Americans (AA) and 1223 European Americans (EA) from a clinical biobank and 1093 unaffected first-degree relatives (FDR) of patients with hematologic disorders. Age- and sex-adjusted prevalence rates were directly standardized to 2010 United States population. Prevalence ratios were estimated for comparisons of AA and FDR to the EA group using the Poisson distribution. Results were also compared with population-based prevalence using conventional gel-based methods. Risk groups had similar sex and age distributions. MALDI-TOF MGUS prevalence was higher in the AA (16.5% [95% confidence interval (CI), 12.2%, 20.8%]) and FDR (18.3% [95% CI, 16.6%, 21.6%]) than in EA (10.8% [95% CI, 8.8%, 12.7%]), translating to prevalence ratios of 1.73 (95% CI, 1.31, 2.29) and 1.90 (95% CI, 1.55, 2.34), respectively. MALDI-TOF EA prevalence was over threefold higher than conventional estimates but showed similar age trends. Thus, the MALDI-TOF assay found greater numbers with MGUS but similar relative differences by race, family history, and age as prior studies.
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10
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Hemminki K, Försti A, Houlston R, Sud A. Epidemiology, genetics and treatment of multiple myeloma and precursor diseases. Int J Cancer 2021; 149:1980-1996. [PMID: 34398972 PMCID: PMC11497332 DOI: 10.1002/ijc.33762] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/17/2022]
Abstract
Multiple myeloma (MM) is a hematological malignancy caused by the clonal expansion of plasma cells. The incidence of MM worldwide is increasing with greater than 140 000 people being diagnosed with MM per year. Whereas 5-year survival after a diagnosis of MM has improved from 28% in 1975 to 56% in 2012, the disease remains essentially incurable. In this review, we summarize our current understanding of MM including its epidemiology, genetics and biology. We will also provide an overview of MM management that has led to improvements in survival, including recent changes to diagnosis and therapies. Areas of unmet need include the management of patients with high-risk MM, those with reduced performance status and those refractory to standard therapies. Ongoing research into the biology and early detection of MM as well as the development of novel therapies, such as immunotherapies, has the potential to influence MM practice in the future.
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Affiliation(s)
- Kari Hemminki
- Biomedical Center, Faculty of MedicineCharles University in PilsenPilsenCzech Republic
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Asta Försti
- Hopp Children's Cancer Center (KiTZ)HeidelbergGermany
- Division of Pediatric NeurooncologyGerman Cancer Research Center (DKFZ), German Cancer Consortium (DKTK)HeidelbergGermany
| | - Richard Houlston
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Amit Sud
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
- The Department of Haemato‐OncologyThe Royal Marsden Hospital NHS Foundation TrustLondonUK
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11
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Zivarpour P, Hallajzadeh J, Asemi Z, Sadoughi F, Sharifi M. Chitosan as possible inhibitory agents and delivery systems in leukemia. Cancer Cell Int 2021; 21:544. [PMID: 34663339 PMCID: PMC8524827 DOI: 10.1186/s12935-021-02243-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/03/2021] [Indexed: 12/29/2022] Open
Abstract
Leukemia is a lethal cancer in which white blood cells undergo proliferation and immature white blood cells are seen in the bloodstream. Without diagnosis and management in early stages, this type of cancer can be fatal. Changes in protooncogenic genes and microRNA genes are the most important factors involved in development of leukemia. At present, leukemia risk factors are not accurately identified, but some studies have pointed out factors that predispose to leukemia. Studies show that in the absence of genetic risk factors, leukemia can be prevented by reducing the exposure to risk factors of leukemia, including smoking, exposure to benzene compounds and high-dose radioactive or ionizing radiation. One of the most important treatments for leukemia is chemotherapy which has devastating side effects. Chemotherapy and medications used during treatment do not have a specific effect and destroy healthy cells besides leukemia cells. Despite the suppressing effect of chemotherapy against leukemia, patients undergoing chemotherapy have poor quality of life. So today, researchers are focusing on finding more safe and effective natural compounds and treatments for cancer, especially leukemia. Chitosan is a valuable natural compound that is biocompatible and non-toxic to healthy cells. Anticancer, antibacterial, antifungal and antioxidant effects are examples of chitosan biopolymer properties. The US Food and Drug Administration has approved the use of this compound in medical treatments and the pharmaceutical industry. In this article, we take a look at the latest advances in the use of chitosan in the treatment and improvement of leukemia.
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Affiliation(s)
- Parinaz Zivarpour
- Department of Biological Sciences, Faculty of Basic Sciences, Higher Education Institute of Rab-Rashid, Tabriz, Iran
| | - Jamal Hallajzadeh
- Department of Biochemistry and Nutrition, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Fatemeh Sadoughi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Mehran Sharifi
- Department of Internal Medicine, School of Medicine, Cancer Prevention Research Center, Seyyed Al-Shohada Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
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12
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Waller RG, Klein RJ, Vijai J, McKay JD, Clay-Gilmour A, Wei X, Madsen MJ, Sborov DW, Curtin K, Slager SL, Offit K, Vachon CM, Lipkin SM, Dumontet C, Camp NJ. Sequencing at lymphoid neoplasm susceptibility loci maps six myeloma risk genes. Hum Mol Genet 2021; 30:1142-1153. [PMID: 33751038 PMCID: PMC8188404 DOI: 10.1093/hmg/ddab066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 11/14/2022] Open
Abstract
Inherited genetic risk factors play a role in multiple myeloma (MM), yet considerable missing heritability exists. Rare risk variants at genome-wide association study (GWAS) loci are a new avenue to explore. Pleiotropy between lymphoid neoplasms (LNs) has been suggested in family history and genetic studies, but no studies have interrogated sequencing for pleiotropic genes or rare risk variants. Sequencing genetically enriched cases can help discover rarer variants. We analyzed exome sequencing in familial or early-onset MM cases to identify rare, functionally relevant variants near GWAS loci for a range of LNs. A total of 149 distinct and significant LN GWAS loci have been published. We identified six recurrent, rare, potentially deleterious variants within 5 kb of significant GWAS single nucleotide polymorphisms in 75 MM cases. Mutations were observed in BTNL2, EOMES, TNFRSF13B, IRF8, ACOXL and TSPAN32. All six genes replicated in an independent set of 255 early-onset MM or familial MM or precursor cases. Expansion of our analyses to the full length of these six genes resulted in a list of 39 rare and deleterious variants, seven of which segregated in MM families. Three genes also had significant rare variant burden in 733 sporadic MM cases compared with 935 control individuals: IRF8 (P = 1.0 × 10-6), EOMES (P = 6.0 × 10-6) and BTNL2 (P = 2.1 × 10-3). Together, our results implicate six genes in MM risk, provide support for genetic pleiotropy between LN subtypes and demonstrate the utility of sequencing genetically enriched cases to identify functionally relevant variants near GWAS loci.
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MESH Headings
- Acyl-CoA Oxidase/genetics
- Butyrophilins/genetics
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Hodgkin Disease/genetics
- Hodgkin Disease/pathology
- Humans
- Interferon Regulatory Factors/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Lymphocytes/pathology
- Lymphoma, Follicular/genetics
- Lymphoma, Follicular/pathology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Male
- Multiple Myeloma/genetics
- Multiple Myeloma/pathology
- Polymorphism, Single Nucleotide/genetics
- Risk Factors
- T-Box Domain Proteins/genetics
- Tetraspanins/genetics
- Transmembrane Activator and CAML Interactor Protein/genetics
- Exome Sequencing
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Affiliation(s)
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Icahn Institute for Data Science and Genomic Technology, New York, NY 10029-5674, USA
| | - Joseph Vijai
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - James D McKay
- Genetic Cancer Susceptibility, International Agency for Research on Cancer, 69372 Lyon Cedex 08, France
| | - Alyssa Clay-Gilmour
- Department of Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Xiaomu Wei
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Michael J Madsen
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Douglas W Sborov
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Karen Curtin
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Susan L Slager
- Department of Health Sciences, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Kenneth Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Celine M Vachon
- Department of Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Steven M Lipkin
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Charles Dumontet
- INSERM 1052, CNRS 5286, University of Lyon, 69361 Lyon Cedex 07, France
| | - Nicola J Camp
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
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13
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Duran-Lozano L, Thorleifsson G, Lopez de Lapuente Portilla A, Niroula A, Went M, Thodberg M, Pertesi M, Ajore R, Cafaro C, Olason PI, Stefansdottir L, Bragi Walters G, Halldorsson GH, Turesson I, Kaiser MF, Weinhold N, Abildgaard N, Andersen NF, Mellqvist UH, Waage A, Juul-Vangsted A, Thorsteinsdottir U, Hansson M, Houlston R, Rafnar T, Stefansson K, Nilsson B. Germline variants at SOHLH2 influence multiple myeloma risk. Blood Cancer J 2021; 11:76. [PMID: 33875642 PMCID: PMC8055668 DOI: 10.1038/s41408-021-00468-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/17/2021] [Accepted: 03/31/2021] [Indexed: 12/17/2022] Open
Abstract
Multiple myeloma (MM) is caused by the uncontrolled, clonal expansion of plasma cells. While there is epidemiological evidence for inherited susceptibility, the molecular basis remains incompletely understood. We report a genome-wide association study totalling 5,320 cases and 422,289 controls from four Nordic populations, and find a novel MM risk variant at SOHLH2 at 13q13.3 (risk allele frequency = 3.5%; odds ratio = 1.38; P = 2.2 × 10-14). This gene encodes a transcription factor involved in gametogenesis that is normally only weakly expressed in plasma cells. The association is represented by 14 variants in linkage disequilibrium. Among these, rs75712673 maps to a genomic region with open chromatin in plasma cells, and upregulates SOHLH2 in this cell type. Moreover, rs75712673 influences transcriptional activity in luciferase assays, and shows a chromatin looping interaction with the SOHLH2 promoter. Our work provides novel insight into MM susceptibility.
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Affiliation(s)
- Laura Duran-Lozano
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
| | | | | | - Abhishek Niroula
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
- Broad Institute, 415 Main Street, Cambridge, MA, 02124, USA
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Malte Thodberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
| | - Maroulio Pertesi
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
| | - Ram Ajore
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
| | - Caterina Cafaro
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
| | - Pall I Olason
- deCODE genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
| | | | | | | | - Ingemar Turesson
- Hematology Clinic, Lund University Hospital, 221 85, Lund, Sweden
| | - Martin F Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University Hospital of Heidelberg, 69120, Heidelberg, Germany
| | - Niels Abildgaard
- Hematology Research Unit, Department of Clinical Research, University of Southern Denmark and Department of Hematology, Odense University Hospital, Odense, Denmark
| | | | | | - Anders Waage
- Institute of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Department of Hematology, and Biobank1, St Olavs hospital, Trondheim, Norway
| | - Annette Juul-Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Unnur Thorsteinsdottir
- deCODE genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden
- Hematology Clinic, Lund University Hospital, 221 85, Lund, Sweden
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Thorunn Rafnar
- deCODE genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, 221 84, Lund, Sweden.
- Broad Institute, 415 Main Street, Cambridge, MA, 02124, USA.
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14
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Bolli N, Martinelli G, Cerchione C. The molecular pathogenesis of multiple myeloma. Hematol Rep 2020; 12:9054. [PMID: 33408844 PMCID: PMC7772755 DOI: 10.4081/hr.2020.9054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 11/29/2022] Open
Abstract
Multiple Myeloma (MM) is characterized by uncontrolled proliferation and accumulation of clonal plasma cells within the bone marrow. However, the cell of origin is a B-lymphocyte acquiring aberrant genomic events in the germinal center of a lymph node as off-target events during somatichypermutation and class-switch recombination driven by activation-induced-deaminase. Whether pre-germinal center events are also required for transformation, and which additional events are required for disease progression is still matter of debate. As early treatment in asymptomatic phases is gaining traction in the clinic, a better understanding of the molecular pathogenesis of myeloma progression would allow stratification of patients based on their risk of progression, thus rationalizing efficacy and cost of clinical interventions. In this review, we will discuss the development of MM, from the cell of origin through asymptomatic stages such as monoclonal gammopathy of undetermined significance and smoldering MM, to the development of symptomatic disease. We will explain the genetic heterogeneity of MM, one of the major drivers of disease recurrence. In this context, moreover, we will propose how this knowledge may influence future diagnostic and therapeutic interventions.
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Affiliation(s)
- Niccolò Bolli
- Department of Oncology and Hemato- Oncology, University of Milan, Italy
- Hematology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanni Martinelli
- Hematology Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Claudio Cerchione
- Hematology Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
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15
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Da Vià MC, Ziccheddu B, Maeda A, Bagnoli F, Perrone G, Bolli N. A Journey Through Myeloma Evolution: From the Normal Plasma Cell to Disease Complexity. Hemasphere 2020; 4:e502. [PMID: 33283171 PMCID: PMC7710229 DOI: 10.1097/hs9.0000000000000502] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/19/2020] [Indexed: 02/06/2023] Open
Abstract
The knowledge of cancer origin and the subsequent tracking of disease evolution represent unmet needs that will soon be within clinical reach. This will provide the opportunity to improve patient's stratification and to personalize treatments based on cancer biology along its life history. In this review, we focus on the molecular pathogenesis of multiple myeloma (MM), a hematologic malignancy with a well-known multi-stage disease course, where such approach can sooner translate into a clinical benefit. We describe novel insights into modes and timing of disease initiation. We dissect the biology of the preclinical and pre-malignant phases, elucidating how knowledge of the genomics of the disease and the composition of the microenvironment allow stratification of patients based on risk of disease progression. Then, we explore cell-intrinsic and cell-extrinsic drivers of MM evolution to symptomatic disease. Finally, we discuss how this may relate to the development of refractory disease after treatment. By integrating an evolutionary view of myeloma biology with the recent acquisitions on its clonal heterogeneity, we envision a way to drive the clinical management of the disease based on its detailed biological features more than surrogates of disease burden.
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Affiliation(s)
- Matteo C. Da Vià
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Bachisio Ziccheddu
- Department of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy
| | - Akihiro Maeda
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Filippo Bagnoli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giulia Perrone
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Niccolò Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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16
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Huang W, Sundquist K, Sundquist J, Ji J. Risk of somatic diseases in offspring of survivors with childhood or adolescent central nervous system tumor in Sweden. Int J Cancer 2020; 148:2184-2192. [PMID: 33186480 PMCID: PMC8048456 DOI: 10.1002/ijc.33394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/07/2020] [Accepted: 11/02/2020] [Indexed: 12/24/2022]
Abstract
With the improvement of treatments, a growing number of survivors with childhood or adolescent central nervous system (CNS) tumor are parenting their own children. We aimed to explore the risk of somatic diseases among children of these survivors compared to population controls. Children of survivors with CNS tumor below age of 20 were identified between 1973 and 2014 by combining the several Swedish registers. Five children without parental CNS tumor were matched randomly to generate the population comparisons. Relative risk (RR) and absolute excess risk (AER) were calculated for overall somatic diseases, and hazard ratio (HR) was calculated for specific type of somatic diseases. A total of 2231 somatic disease diagnoses were identified in children of survivors with a cumulative incidence rate of 94.77 per 1000 person‐years, whereas the rate was 92.79 in matched comparisons thus resulting in an overall RR of 1.02 (95% CI = 0.98‐1.07) and AER of 1.98 (95% CI = −2.06, 6.13). Specifically, five of 1364 children of survivors had CNS tumor with an incidence rate of 0.21 per 1000 person‐year, whereas the rate was 0.04 in children of matched children, generating a HR of 4.91 (95% CI = 1.42‐16.96). Children of male survivors were at a statistically increased risk of malignancy, as well as infectious and parasitic diseases. In conclusion, no significantly higher risk of overall somatic diseases was found in children of survivors with CNS tumor before the age of 20, but children with a paternal diagnosis of CNS tumor had significantly increased risk of malignancies and infectious and parasitic diseases. What's new? Survivors of central nervous system (CNS) tumors are at higher risk of experiencing late adverse effects on reproductive function. However, it remains unknown if the tumor or related treatments subsequently affect the physical health of their offspring. This population‐based study did not find an association of parental CNS tutors in childhood or adolescence with the risk of overall somatic diseases in the offspring. Nonetheless, an increased risk was observed in preterm born children, and children of male survivors had an increased risk of malignancies and infectious and parasitic diseases, calling for a tailored surveillance strategy.
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Affiliation(s)
- Wuqing Huang
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden.,Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Center for Community-based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Matsue, Shimane, Japan
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden.,Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Center for Community-based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Matsue, Shimane, Japan
| | - Jianguang Ji
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
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17
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Diaz-delCastillo M, Chantry AD, Lawson MA, Heegaard AM. Multiple myeloma-A painful disease of the bone marrow. Semin Cell Dev Biol 2020; 112:49-58. [PMID: 33158730 DOI: 10.1016/j.semcdb.2020.10.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 10/13/2020] [Accepted: 10/15/2020] [Indexed: 12/18/2022]
Abstract
Multiple myeloma is a bone marrow neoplasia with an incidence of 6/100,000/year in Europe. While the disease remains incurable, the development of novel treatments such as autologous stem cell transplantation, proteasome inhibitors and monoclonal antibodies has led to an increasing subset of patients living with long-term myeloma. However, more than two thirds of patients suffer from bone pain, often described as severe, and knowledge on the pain mechanisms and its effect on their health-related quality of life (HRQoL) is limited. In this review, we discuss the mechanisms of myeloma bone disease, the currently available anti-myeloma treatments and the lessons learnt from clinical studies regarding HRQoL in myeloma patients. Moreover, we discuss the mechanisms of cancer-induced bone pain and the knowledge that animal models of myeloma-induced bone pain can provide to identify novel analgesic targets. To date, information regarding bone pain and HRQoL in myeloma patients is still scarce and an effort should be made to use standardised questionnaires to assess patient-reported outcomes that allow inter-study comparisons of the available clinical data.
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Affiliation(s)
- Marta Diaz-delCastillo
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Jagtvej 160, Copenhagen Ø DK-2100, Denmark; Sheffield Myeloma Research Team, Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; Mellanby Centre for Bone Research, University of Sheffield Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, UK.
| | - Andrew D Chantry
- Sheffield Myeloma Research Team, Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; Mellanby Centre for Bone Research, University of Sheffield Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, UK
| | - Michelle A Lawson
- Sheffield Myeloma Research Team, Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; Mellanby Centre for Bone Research, University of Sheffield Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK
| | - Anne-Marie Heegaard
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Jagtvej 160, Copenhagen Ø DK-2100, Denmark
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18
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Zhang X, Liang Y, Li X, Wang W, Tong J, Xu Y. Clearance of HBsAg in a patient with familial multiple myeloma after a bortezomib-based regimen combined with anti-HBV drug: A case report. Medicine (Baltimore) 2020; 99:e22642. [PMID: 33019490 PMCID: PMC7535632 DOI: 10.1097/md.0000000000022642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 07/18/2020] [Accepted: 09/09/2020] [Indexed: 11/26/2022] Open
Abstract
RATIONALE Reactivation of hepatitis B virus (HBV) after treatment with bortezomib-based regimens in HBV-positive patients with multiple myeloma (MM) has been reported in the past few years. Nevertheless, there is evidence of inhibition of HBV replication by bortezomib in transgenic mice. However, there is still no clinical evidence that bortezomib inhibits HBV. PATIENT CONCERNS A 55-year-old MM patient with a family history of MM, who was also a chronic HBV carrier, achieved HBV clearance after treatment with a bortezomib-based regimen in combination with anti-HBV drugs. DIAGNOSES The diagnosis was MM with chronic carrier of HBV. INTERVENTIONS He received bortezomib-based regimen for MM as well as entecavir as a prophylaxis to prevent HBV reactivation. OUTCOMES This patient achieved HBsAg and HBV-DNA clearance after 2 months and the remission was maintained during the next 2 years. He also achieved complete remission of MM and underwent consolidation therapy with autologous hematopoietic stem cell transplantation. LESSONS This is the first case of MM with HBV clearance after receiving a bortezomib-based regimen combined with anti-HBV drug. Research on related mechanisms might provide new suggestions and hope for better management of HBV positive patients with MM and for the treatment of HBV patients.
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Affiliation(s)
- Xuzhao Zhang
- Department of Hematology
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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19
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Pertesi M, Went M, Hansson M, Hemminki K, Houlston RS, Nilsson B. Genetic predisposition for multiple myeloma. Leukemia 2020; 34:697-708. [PMID: 31913320 DOI: 10.1038/s41375-019-0703-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 12/24/2019] [Indexed: 12/14/2022]
Abstract
Multiple myeloma (MM) is the second most common blood malignancy. Epidemiological family studies going back to the 1920s have provided evidence for familial aggregation, suggesting a subset of cases have an inherited genetic background. Recently, studies aimed at explaining this phenomenon have begun to provide direct evidence for genetic predisposition to MM. Genome-wide association studies have identified common risk alleles at 24 independent loci. Sequencing studies of familial cases and kindreds have begun to identify promising candidate genes where variants with strong effects on MM risk might reside. Finally, functional studies are starting to give insight into how identified risk alleles promote the development of MM. Here, we review recent findings in MM predisposition field, and highlight open questions and future directions.
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Affiliation(s)
- Maroulio Pertesi
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden
| | - Kari Hemminki
- Department of Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld, Heidelberg, Germany.,Faculty of Medicine and Biomedical Center, Charles University in Prague, 30605, Pilsen, Czech Republic
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden. .,Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA.
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20
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Aref S, Al Saeed A, El Menshawy N, Abdalla D, El Ashery M. Prognostic relevance of telomere length and telomerase reverse transcriptase variant (rs2242652) on the multiple myeloma patients. J Clin Lab Anal 2019; 34:e23133. [PMID: 31814184 PMCID: PMC7171320 DOI: 10.1002/jcla.23133] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/15/2019] [Accepted: 10/17/2019] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND The search for enhancement of multiple myeloma prognostic tools is an area of current research. This study aimed to assess the clinicopathological impact of telomere length and telomerase reverse transcriptase (TERT) polymorphic variant, rs2242652, on multiple myeloma (MM) patients. METHODS Fifty MM patients and 50 healthy controls were included. Relative telomere length (RTL) and rs2242652 genotype polymorphic variants of TERT were analyzed using real-time polymerase chain reaction (PCR). The MM patients' group was categorized into stage I (n = 16); stage II (n = 12), and stage III (n = 22). RESULTS The median telomere length was significantly longer in MM patients' group (0.78) as compared to controls (0.43) (P = .001). Multivariate regression analysis revealed that MM patients with RTL < 0.5 had significant poor response for induction remission therapy with odds ratio 26.45. On the other hand, TERT genotyping analysis of rs2242652 revealed insignificant difference between cases and controls (P = .234), regarding to induction remission response. Survival analysis using Kaplan-Meier curve revealed that patients with shorter telomere length and those with TERT genotype GA had shorter overall survival. CONCLUSION Telomere length and TERT rs2242652 genotype polymorphism could be used for refining risk stratification of MM patients.
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Affiliation(s)
- Salah Aref
- Hematology Unit, Mansoura University Oncology Center, Mansoura University, Mansoura, Egypt
| | - Alshaimaa Al Saeed
- Hematology Unit, Mansoura University Oncology Center, Mansoura University, Mansoura, Egypt
| | - Nadia El Menshawy
- Hematology Unit, Mansoura University Oncology Center, Mansoura University, Mansoura, Egypt
| | - Doaa Abdalla
- Hematology Unit, Mansoura University Oncology Center, Mansoura University, Mansoura, Egypt
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21
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Went M, Kinnersley B, Sud A, Johnson DC, Weinhold N, Försti A, van Duin M, Orlando G, Mitchell JS, Kuiper R, Walker BA, Gregory WM, Hoffmann P, Jackson GH, Nöthen MM, da Silva Filho MI, Thomsen H, Broyl A, Davies FE, Thorsteinsdottir U, Hansson M, Kaiser M, Sonneveld P, Goldschmidt H, Stefansson K, Hemminki K, Nilsson B, Morgan GJ, Houlston RS. Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes. Hum Genomics 2019; 13:37. [PMID: 31429796 PMCID: PMC6700979 DOI: 10.1186/s40246-019-0231-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 08/12/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate causal genes at these regions and search for novel risk regions, we performed a multi-tissue transcriptome-wide association study (TWAS). RESULTS GWAS data on 7319 MM cases and 234,385 controls was integrated with Genotype-Tissue Expression Project (GTEx) data assayed in 48 tissues (sample sizes, N = 80-491), including lymphocyte cell lines and whole blood, to predict gene expression. We identified 108 genes at 13 independent regions associated with MM risk, all of which were in 1 Mb of known MM GWAS risk variants. Of these, 94 genes, located in eight regions, had not previously been considered as a candidate gene for that locus. CONCLUSIONS Our findings highlight the value of leveraging expression data from multiple tissues to identify candidate genes responsible for GWAS associations which provide insight into MM tumorigenesis. Among the genes identified, a number have plausible roles in MM biology, notably APOBEC3C, APOBEC3H, APOBEC3D, APOBEC3F, APOBEC3G, or have been previously implicated in other malignancies. The genes identified in this TWAS can be explored for follow-up and validation to further understand their role in MM biology.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - David C Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Jonathan S Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Brian A Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Walter M Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9PH, UK
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003, Basel, Switzerland
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127, Bonn, Germany
| | | | - Hauke Thomsen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Faith E Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | | | - Markus Hansson
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Pieter Sonneveld
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
| | | | - Kari Hemminki
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
- Broad Institute, 7 Cambridge Center, Cambridge, MA, 02142, USA
| | - Gareth J Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
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22
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Went M, Sud A, Li N, Johnson DC, Mitchell JS, Kaiser M, Houlston RS. Regions of homozygosity as risk factors for multiple myeloma. Ann Hum Genet 2019; 83:231-238. [PMID: 30768683 PMCID: PMC6563058 DOI: 10.1111/ahg.12304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 11/30/2018] [Accepted: 01/31/2019] [Indexed: 11/29/2022]
Abstract
Genomic regions of homozygosity (ROH), detectable in outbred populations, have been implicated as determinants of inherited risk. To examine whether ROH is associated with risk of multiple myeloma (MM), we performed whole-genome homozygosity analysis using single-nucleotide polymorphism genotype data from 2,282 MM cases and 5,197 controls, with replication in an additional 878 MM cases and 7,083 controls. Globally, the distribution of ROH between cases and controls was not significantly different. However, one ROH at chromosome 9q21, harboring the B-cell transcription factor gene KLF9, showed evidence of a consistent association and may therefore warrant further investigation as a candidate risk factor for MM. Overall, our analysis provides little support for a homozygosity signature being a significant factor in MM risk.
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Affiliation(s)
- Molly Went
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
- Division of Molecular PathologyThe Institute of Cancer ResearchLondonUK
| | - Amit Sud
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Ni Li
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - David C. Johnson
- Division of Molecular PathologyThe Institute of Cancer ResearchLondonUK
| | | | - Martin Kaiser
- Division of Molecular PathologyThe Institute of Cancer ResearchLondonUK
| | - Richard S. Houlston
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
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23
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Baughn LB, Pearce K, Larson D, Polley MY, Elhaik E, Baird M, Colby C, Benson J, Li Z, Asmann Y, Therneau T, Cerhan JR, Vachon CM, Stewart AK, Bergsagel PL, Dispenzieri A, Kumar S, Rajkumar SV. Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer J 2018; 8:96. [PMID: 30305608 PMCID: PMC6180134 DOI: 10.1038/s41408-018-0132-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 08/31/2018] [Indexed: 12/11/2022] Open
Abstract
Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of MM, and it is likely that the disparity is associated with only certain subtypes. Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry, which may result in bias. To mitigate these difficulties, we studied 881 patients with monoclonal gammopathies who had undergone uniform testing to identify primary cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was quantitatively assessed using the Geographic Population Structure Origins tool. The probability of having one of three specific subtypes, namely t(11;14), t(14;16), or t(14;20) was significantly higher in the 120 individuals with highest African ancestry (≥80%) compared with the 235 individuals with lowest African ancestry (<0.1%) (51% vs. 33%, respectively, p value = 0.008). Using quantitatively measured African ancestry, we demonstrate a major proportion of the racial disparity in MM is driven by disparity in the occurrence of the t(11;14), t(14;16), and t(14;20) types of MM.
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Affiliation(s)
- Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Kathryn Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Dirk Larson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mei-Yin Polley
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Eran Elhaik
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
| | | | - Colin Colby
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Joanne Benson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Zhuo Li
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Yan Asmann
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Terry Therneau
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Celine M Vachon
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - A Keith Stewart
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - P Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Angela Dispenzieri
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Shaji Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - S Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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24
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Went M, Sud A, Försti A, Halvarsson BM, Weinhold N, Kimber S, van Duin M, Thorleifsson G, Holroyd A, Johnson DC, Li N, Orlando G, Law PJ, Ali M, Chen B, Mitchell JS, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Bandapalli OR, Einsele H, Gregory WA, Gullberg U, Hillengass J, Hoffmann P, Jackson GH, Jöckel KH, Johnsson E, Kristinsson SY, Mellqvist UH, Nahi H, Easton D, Pharoah P, Dunning A, Peto J, Canzian F, Swerdlow A, Eeles RA, Kote-Jarai ZS, Muir K, Pashayan N, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Thomsen H, Turesson I, Vangsted A, Andersen NF, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Goldschmidt H, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Hemminki K, Nilsson B, Houlston RS. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun 2018; 9:3707. [PMID: 30213928 PMCID: PMC6137048 DOI: 10.1038/s41467-018-04989-w] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 06/06/2018] [Indexed: 02/08/2023] Open
Abstract
Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous GWAS and a replication series, totalling 9974 MM cases and 247,556 controls of European ancestry. Collectively, these data provide evidence for six new MM risk loci, bringing the total number to 23. Integration of information from gene expression, epigenetic profiling and in situ Hi-C data for the 23 risk loci implicate disruption of developmental transcriptional regulators as a basis of MM susceptibility, compatible with altered B-cell differentiation as a key mechanism. Dysregulation of autophagy/apoptosis and cell cycle signalling feature as recurrently perturbed pathways. Our findings provide further insight into the biological basis of MM.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Asta Försti
- German Cancer Research Center, 69120, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02, Malmo, Sweden
| | - Britt-Marie Halvarsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Scott Kimber
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | | | - Amy Holroyd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - David C Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Mina Ali
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Bowang Chen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Jonathan S Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Daniel F Gudbjartsson
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, IS-101, Reykjavik, Iceland
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Owen W Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Uta Bertsch
- German Cancer Research Center, 69120, Heidelberg, Germany
- National Centre of Tumor Diseases, 69120, Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Chiara Campo
- German Cancer Research Center, 69120, Heidelberg, Germany
| | | | | | - Walter A Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9PH, UK
| | - Urban Gullberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Jens Hillengass
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003, Basel, Switzerland
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, D-45147, Germany
| | - Ellinor Johnsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Sigurður Y Kristinsson
- Department of Hematology, Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
| | - Ulf-Henrik Mellqvist
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, SE-171 77, Stockholm, Sweden
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Alison Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Rosalind A Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK
| | - ZSofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, M13 9PL, UK
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Nora Pashayan
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
| | - Jolanta Nickel
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127, Bonn, Germany
| | - Thorunn Rafnar
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Fiona M Ross
- Wessex Regional Genetics Laboratory, University of Southampton, Salisbury, SP2 8BJ, UK
| | | | - Hauke Thomsen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Ingemar Turesson
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Annette Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Niels Frost Andersen
- Department of Haematology, Aarhus University Hospital, Tage-Hansens Gade 2, DK-8000, Aarhus C, Denmark
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Brian A Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Anna-Karin Wihlborg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Faith E Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Christian Langer
- Department of Internal Medicine III, University of Ulm, D-89081, Ulm, Germany
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
- National Centre of Tumor Diseases, 69120, Heidelberg, Germany
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | | | - Gareth J Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Kari Hemminki
- German Cancer Research Center, 69120, Heidelberg, Germany.
- Center for Primary Health Care Research, Lund University, SE-205 02, Malmo, Sweden.
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden.
- Broad Institute, 7 Cambridge Center, Cambridge, MA, 02142, USA.
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK.
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25
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Risk of MGUS in relatives of multiple myeloma cases by clinical and tumor characteristics. Leukemia 2018; 33:499-507. [PMID: 30201985 DOI: 10.1038/s41375-018-0246-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 07/13/2018] [Accepted: 08/01/2018] [Indexed: 12/14/2022]
Abstract
We and others have shown increased risk of monoclonal gammopathy of undetermined significance (MGUS) in first-degree relatives of patients with multiple myeloma (MM). Whether familial risk of MGUS differs by the MM proband's age at onset, tumor or clinical characteristics is unknown. MM and smoldering MM (SMM) cases (N = 430) were recruited from the Mayo Clinic in Rochester, Minnesota between 2005-2015. First-degree relatives over age 40 provided serum samples for evaluation of MGUS (N = 1179). Age and sex specific rates of MGUS among first-degree relatives were compared to a population-based sample. Cytogenetic subtypes were classified by Fluorescence in situ hybridization. MGUS was detected in 75 first-degree relatives for an age- and sex- adjusted prevalence of 5.8% (95% CI: 4.5-7.2). Prevalence of MGUS in first-degree relatives was 2.4 fold (95% CI: 1.9-2.9) greater than expected rates. Familial risk did not differ by proband's age at diagnosis, gender, isotype, IgH translocation, or trisomy. This study confirms first-degree relatives of MM cases have a significantly higher risk of MGUS compared to the general population, regardless of age, gender, or tumor characteristics. In selected situations, such as multiple affected first-degree relatives, screening of first-degree relatives of MM cases could be considered for follow-up and prevention strategies.
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26
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Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism. Cell Rep 2018; 20:2556-2564. [PMID: 28903037 PMCID: PMC5608969 DOI: 10.1016/j.celrep.2017.08.062] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 07/07/2017] [Accepted: 08/18/2017] [Indexed: 01/08/2023] Open
Abstract
Multiple myeloma (MM) is a malignancy of plasma cells. Genome-wide association studies have shown that variation at 5q15 influences MM risk. Here, we have sought to decipher the causal variant at 5q15 and the mechanism by which it influences tumorigenesis. We show that rs6877329 G > C resides in a predicted enhancer element that physically interacts with the transcription start site of ELL2. The rs6877329-C risk allele is associated with reduced enhancer activity and lowered ELL2 expression. Since ELL2 is critical to the B cell differentiation process, reduced ELL2 expression is consistent with inherited genetic variation contributing to arrest of plasma cell development, facilitating MM clonal expansion. These data provide evidence for a biological mechanism underlying a hereditary risk of MM at 5q15.
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27
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Ali M, Ajore R, Wihlborg AK, Niroula A, Swaminathan B, Johnsson E, Stephens OW, Morgan G, Meissner T, Turesson I, Goldschmidt H, Mellqvist UH, Gullberg U, Hansson M, Hemminki K, Nahi H, Waage A, Weinhold N, Nilsson B. The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression. Nat Commun 2018; 9:1649. [PMID: 29695719 PMCID: PMC5917026 DOI: 10.1038/s41467-018-04082-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Accepted: 03/26/2018] [Indexed: 02/06/2023] Open
Abstract
Recently, we identified ELL2 as a susceptibility gene for multiple myeloma (MM). To understand its mechanism of action, we performed expression quantitative trait locus analysis in CD138+ plasma cells from 1630 MM patients from four populations. We show that the MM risk allele lowers ELL2 expression in these cells (Pcombined = 2.5 × 10−27; βcombined = −0.24 SD), but not in peripheral blood or other tissues. Consistent with this, several variants representing the MM risk allele map to regulatory genomic regions, and three yield reduced transcriptional activity in plasmocytoma cell lines. One of these (rs3777189-C) co-locates with the best-supported lead variants for ELL2 expression and MM risk, and reduces binding of MAFF/G/K family transcription factors. Moreover, further analysis reveals that the MM risk allele associates with upregulation of gene sets related to ribosome biogenesis, and knockout/knockdown and rescue experiments in plasmocytoma cell lines support a cause–effect relationship. Our results provide mechanistic insight into MM predisposition. ELL2 was recently discovered as a susceptibility gene for multiple myeloma (MM). Here, they show that the MM risk allele lowers ELL2 expression in plasma cells, that it also upregulates gene sets related to ribosome biogenesis, and that one of the linked variants reduces binding of MAFF/G/K family transcription factors.
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Affiliation(s)
- Mina Ali
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Ram Ajore
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Anna-Karin Wihlborg
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Abhishek Niroula
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Bhairavi Swaminathan
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Ellinor Johnsson
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Owen W Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Gareth Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Tobias Meissner
- Department of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, 57105, USA
| | - Ingemar Turesson
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany.,National Center for Tumor Diseases, Ulm, 69120, Heidelberg, Germany
| | | | - Urban Gullberg
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden
| | - Markus Hansson
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden.,Hematology Clinic, Skåne University Hospital, SE 221 85, Lund, Sweden
| | - Kari Hemminki
- German Cancer Research Center, 69120, Heidelberg, Germany.,Center for Primary Health Care Research, Lund University, SE 205 02, Malmö, Sweden
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE 171 77, Stockholm, Sweden
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Björn Nilsson
- Department of Laboratory Medicine, Hematology and Transfusion Medicine, SE 221 84, Lund, Sweden. .,Broad Institute, 7 Cambridge Center, Cambridge, MA, 02142, USA.
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28
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Turesson I, Bjorkholm M, Blimark CH, Kristinsson S, Velez R, Landgren O. Rapidly changing myeloma epidemiology in the general population: Increased incidence, older patients, and longer survival. Eur J Haematol 2018; 101:10.1111/ejh.13083. [PMID: 29676004 PMCID: PMC6195866 DOI: 10.1111/ejh.13083] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2018] [Indexed: 12/22/2022]
Abstract
The incidence of multiple myeloma is characterized by a steep increase with advancing age. Dramatic improvements in survival have been reported in clinical trials; however, elderly patients are generally underrepresented in these. The aims of this study are to review patterns of incidence and survival in multiple myeloma in the general population. We searched PubMed for population-based studies on trends in incidence and survival published between January 1, 2000 and June 30, 2017 and based on regional or national cancer registries and report the following results of the review. The age-adjusted incidence of multiple myeloma has increased during the second half of the twentieth century in some countries but remained stable in areas with high case ascertainment and access to universal medical care. The crude incidence is increasing globally due to an aging population. Survival rates have improved, and 5-year relative survival rates are now around 50% and over 60% in patients 65-70 years or younger. Preliminary data suggest a 3-fold increase in the prevalence of multiple myeloma. We conclude that the number of multiple myeloma patients is increasing in the general population due to (i) aging populations and (ii) more patients living longer due to modern drugs.
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Affiliation(s)
- Ingemar Turesson
- Department of Haematology, Skane University Hospital, Malmo, Sweden
| | - Magnus Bjorkholm
- Department of Medicine, Division of Hematology, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Cecilie Hveding Blimark
- Department of Hematology, Sahlgrenska University Hospital and Institution of Internal Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | | | - Ramon Velez
- Department of Medicine, Section on General Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina, United States
| | - Ola Landgren
- Myeloma Service, Division of Hematologic Oncology, Memorial Sloan-Kettering Cancer Center, New York, United States
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29
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Search for rare protein altering variants influencing susceptibility to multiple myeloma. Oncotarget 2018; 8:36203-36210. [PMID: 28404951 PMCID: PMC5482649 DOI: 10.18632/oncotarget.15874] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 01/28/2017] [Indexed: 12/12/2022] Open
Abstract
The genetic basis underlying the inherited risk of developing multiple myeloma (MM) is largely unknown. To examine the impact of rare protein altering variants on the risk of developing MM we analyzed high-coverage exome sequencing data on 513 MM cases and 1,569 healthy controls, performing both single variant and gene burden tests. We did not identify any recurrent coding low-frequency alleles (1–5%) with moderate effect that were statistically associated with MM. In a gene burden analysis we did however identify a promising relationship between variation in the marrow kinetochore microtubule stromal gene KIF18A, which plays a role in control mitotic chromosome positioning dynamics, and risk of MM (P =3.6×10−6). Further analysis showed KIF18A displays a distinct pattern of expression across molecular subgroups of MM as well as being associated with patient survival. Our results inform future study design and provide a resource for contextualizing the impact of candidate MM susceptibility genes.
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30
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Shah V, Boyd KD, Houlston RS, Kaiser MF. Constitutional mutation in CDKN2A is associated with long term survivorship in multiple myeloma: a case report. BMC Cancer 2017; 17:718. [PMID: 29110637 PMCID: PMC5674776 DOI: 10.1186/s12885-017-3715-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 10/30/2017] [Indexed: 11/11/2022] Open
Abstract
Background Multiple Myeloma is a cancer of plasma cells associated with significantly reduced survival. Long term survivorship from myeloma is very rare and despite advances in its treatment the disease is generally considered incurable. We report a patient diagnosed with myeloma carrying a germline mutation of a tumour suppressor gene who has effectively been cured. Case presentation A 36-year-old woman was diagnosed with IgG lambda myeloma in 1985. She was treated with melphalan chemotherapy followed by high-dose melphalan and autologous stem cell rescue and since remained in complete remission despite not having received any additional therapy. After eliciting a prior history of multiple primary melanomas and breast cancer, she was tested for and shown to be a carrier for a germline mutation in CDKN2A. Conclusions This is the second case report of germline mutation of CDKN2A being associated with myeloma. CDKN2A is a stabiliser of p53. Long term survivorship after high dose DNA damaging chemotherapy with melphalan in this patient is compatible with an increased chemo-sensitivity due to impairment of the DNA repair pathway.
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Affiliation(s)
- Vallari Shah
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
| | - Kevin D Boyd
- Department of Haemato-Oncology, Royal Marsden Hospital, London, UK
| | - Richard S Houlston
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.,Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Martin F Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
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31
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Synchronous colorectal cancer and multiple myeloma with chest wall involvement: Is this a coincidence? Curr Probl Cancer 2017; 41:413-418. [PMID: 29129340 DOI: 10.1016/j.currproblcancer.2017.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 09/18/2017] [Accepted: 09/22/2017] [Indexed: 12/26/2022]
Abstract
Multiple primary malignant neoplasms (MPMNs) are rare malignant neoplasms that simultaneously or successively occur in the same patient as 2 or more primary malignancies. Currently, an increasing number of cases are being reported. In general, MPMNs more commonly occur as 2 solid tumors or 2 hematological malignancies. Cases of MPMN that involve a solid tumor and a hematological malignancy are rare. Here, we report a case of synchronous colorectal cancer (CRC) and multiple myeloma (MM) with chest wall involvement. After reviewing the literature, we believe that there may be a distinct syndrome involving CRC and MM. The patient in our case study suffered refractory anemia following surgery and 2 cycles of chemotherapy. Initially, the anemia was considered to be a common manifestation of CRC in this patient. Interestingly, although he received a blood transfusion, his hemoglobin levels remained low. He later developed hematuria, proteinuria, multiple osteoporosis in the costal bones, and thrombocytopenia. These new symptoms drew our attention, and we considered a diagnosis of synchronous primary CRC and MM, with the anemia as a symptom of MM. Based on the results of a bone marrow aspirate, MM was confirmed. Therefore, when CRC is associated with refractory anemia, we should not only assume that anemia is a classical symptom of CRC, a result of chronic blood loss, nutritional deficiencies, or myelosuppression due to chemotherapy, but we should also consider that it may reflect the possibility of a coexisting hematologic malignancy. As the treatment of these 2 malignancies is different, early diagnosis and treatment based on definitive diagnosis as early as possible will be beneficial to overall prognosis.
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32
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Direct evidence for a polygenic etiology in familial multiple myeloma. Blood Adv 2017; 1:619-623. [PMID: 29296704 DOI: 10.1182/bloodadvances.2016003111] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 03/04/2017] [Indexed: 11/20/2022] Open
Abstract
Although common risk alleles for multiple myeloma (MM) were recently identified, their contribution to familial MM is unknown. Analyzing 38 familial cases identified primarily by linking Swedish nationwide registries, we demonstrate an enrichment of common MM risk alleles in familial compared with 1530 sporadic cases (P = 4.8 × 10-2 and 6.0 × 10-2, respectively, for 2 different polygenic risk scores) and 10 171 population-based controls (P = 1.5 × 10-4 and 1.3 × 10-4, respectively). Using mixture modeling, we estimate that about one-third of familial cases result from such enrichments. Our results provide the first direct evidence for a polygenic etiology in a familial hematologic malignancy.
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33
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Jones SJ, Voong J, Thomas R, English A, Schuetz J, Slack GW, Graham J, Connors JM, Brooks-Wilson A. Nonrandom occurrence of lymphoid cancer types in 140 families. Leuk Lymphoma 2017; 58:1-10. [PMID: 28278712 DOI: 10.1080/10428194.2017.1281412] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
We studied 140 families with two or more lymphoid cancers, including non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), chronic lymphocytic leukemia (CLL), and multiple myeloma (MM), for deviation from the population age of onset and lymphoid cancer co-occurrence patterns. Median familial NHL, HL, CLL and MM ages of onset are substantially earlier than comparable population data. NHL, HL and CLL (but not MM) also show earlier age of onset in later generations, known as anticipation. The co-occurrence of lymphoid cancers is significantly different from that expected based on population frequencies (p < .0001), and the pattern differs more in families with more affected members (p < .0001), suggesting specific lymphoid cancer combinations have a shared genetic basis. These families provide evidence for inherited factors that increase the risk of multiple lymphoid cancers. This study was approved by the BC Cancer Agency - University of British Columbia Clinical Research Ethics Board.
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Affiliation(s)
- Samantha J Jones
- a Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver , British Columbia , Canada.,b Department of Medical Genetics , University of British Columbia , Vancouver , British Columbia , Canada
| | - Jackson Voong
- c Department of Statistics and Actuarial Science , Simon Fraser University , Burnaby , British Columbia , Canada
| | - Ruth Thomas
- a Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver , British Columbia , Canada
| | - Amy English
- a Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver , British Columbia , Canada
| | - Johanna Schuetz
- a Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver , British Columbia , Canada
| | - Graham W Slack
- d Centre for Lymphoid Cancer, British Columbia Cancer Agency , Vancouver , British Columbia , Canada.,e Department of Pathology & Laboratory Medicine , British Columbia Cancer Agency , Vancouver , BC , Canada
| | - Jinko Graham
- c Department of Statistics and Actuarial Science , Simon Fraser University , Burnaby , British Columbia , Canada
| | - Joseph M Connors
- d Centre for Lymphoid Cancer, British Columbia Cancer Agency , Vancouver , British Columbia , Canada
| | - Angela Brooks-Wilson
- a Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver , British Columbia , Canada.,f Department of Biomedical Physiology and Kinesiology , Simon Fraser University , Burnaby , British Columbia , Canada
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34
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Read J, Symmons J, Palmer JM, Montgomery GW, Martin NG, Hayward NK. Increased incidence of bladder cancer, lymphoid leukaemia, and myeloma in a cohort of Queensland melanoma families. Fam Cancer 2016; 15:651-63. [PMID: 27108303 DOI: 10.1007/s10689-016-9907-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Familial cancer risk has been proposed as a shared feature of many cancers, and overall susceptibility is influenced by combinations of low to moderate risk polymorphisms, rare high penetrance germline mutations, and modulation of risk by environmental and genetic factors. Clustering of melanoma occurs in approximately 10 % of families, and an over-representation of additional cancers has been noticed in some 'melanoma' families. The degree to which other cancers aggregate in families affected by melanoma has not been well defined. Therefore, this study aimed to assess the risk of cancers other than melanoma in a cohort of 178 'intermediate risk' melanoma families, not selected for specific genetic mutations. Families designated as 'intermediate risk' had two first degree relatives (FDRs) affected by melanoma when ascertained between 1982 and 1990, and were followed up over a 33 year period to assess new occurrences of cancer. We included 414 melanoma cases and 529 FDRs, comprising 25,264 person years of observation. Standardised incidence ratios and their 95 % confidence intervals were calculated for all invasive cancers, comparing observed to expected cases of cancer based on age and sex specific incidence rates for the Queensland population. Statistically significant increases were found for bladder cancer in females (observed, 7; expected, 1.99; SIR, 3.52; 95 % CI 1.41-7.25), lymphoid leukaemia in females (observed, 6; expected, 1.75; SIR, 3.43; 95 % CI 1.26-7.46), and myeloma in female melanoma cases (observed, 4; expected, 0.82; SIR, 4.89; 95 % CI 1.33-12.52). Over-representation of bladder cancer, lymphoid leukaemia, and myeloma in females of the cohort may suggest sex-dependent co-modifiers, and it is possible that specific combinations of polymorphisms predispose to certain cancer types.
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Affiliation(s)
- Jazlyn Read
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia.
- The University of Queensland, Brisbane, QLD, Australia.
| | - Judith Symmons
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Jane M Palmer
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Nicholas K Hayward
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Herston, Brisbane, QLD, 4029, Australia
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35
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Manier S, Salem KZ, Park J, Landau DA, Getz G, Ghobrial IM. Genomic complexity of multiple myeloma and its clinical implications. Nat Rev Clin Oncol 2016; 14:100-113. [DOI: 10.1038/nrclinonc.2016.122] [Citation(s) in RCA: 293] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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36
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Li Y, Du Z, Wang X, Wang G, Li W. Association of IL-6 Promoter and Receptor Polymorphisms with Multiple Myeloma Risk: A Systematic Review and Meta-Analysis. Genet Test Mol Biomarkers 2016; 20:587-596. [PMID: 27525545 DOI: 10.1089/gtmb.2015.0169] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND A number of studies show that the pleiotropic cytokine interleukin-6 (IL-6) plays an important role in the pathogenesis of multiple myeloma (MM). However, whether MM risk is associated with IL-6 genetic variability remains uncertain. OBJECTIVE The aim of our study was to evaluate the association between two different IL-6 polymorphisms (located in the IL-6 promoter and receptor, respectively) and the risk of developing MM using a meta-analytic approach. MATERIALS AND METHODS A systematic search for studies on the association of IL-6/IL-6R single-nucleotide polymorphisms with susceptibility to MM was conducted in PubMed, Cochrane Library, Embase, CNKI (Chinese) and Wanfang (Chinese) Digital Dissertations Databases from inception through November 2014. A meta-analysis was performed and results were presented as odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS A total of eight case-control studies on the IL-6 promoter polymorphism and three studies on the IL-6 receptor (IL-6R) polymorphism were included. No significant association was found between the IL-6 promoter rs1800795 (G>C) polymorphism and MM susceptibility. A significantly increased risk of MM was observed with the IL-6R rs8192284 (A>C) polymorphism. In subgroup analyses, grouped by ethnicity, region, quality of studies, and Hardy-Weinberg equilibrium of control group, similar results were found. CONCLUSION Unlike the IL-6 promoter rs1800795 (G>C) polymorphism, the IL-6R rs8192284 (A>C) polymorphism may be associated with MM risk. However, large-scale studies are needed to validate our findings since they are based on a relatively small number of studies.
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Affiliation(s)
- Yuying Li
- Cancer Center, First Hospital of Jilin University , Changchun, China
| | - Zhonghua Du
- Cancer Center, First Hospital of Jilin University , Changchun, China
| | - Xu Wang
- Cancer Center, First Hospital of Jilin University , Changchun, China
| | - Guanjun Wang
- Cancer Center, First Hospital of Jilin University , Changchun, China
| | - Wei Li
- Cancer Center, First Hospital of Jilin University , Changchun, China
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37
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Schinasi LH, Brown EE, Camp NJ, Wang SS, Hofmann JN, Chiu BC, Miligi L, Beane Freeman LE, de Sanjose S, Bernstein L, Monnereau A, Clavel J, Tricot GJ, Atanackovic D, Cocco P, Orsi L, Dosman JA, McLaughlin JR, Purdue MP, Cozen W, Spinelli JJ, de Roos AJ. Multiple myeloma and family history of lymphohaematopoietic cancers: Results from the International Multiple Myeloma Consortium. Br J Haematol 2016; 175:87-101. [PMID: 27330041 DOI: 10.1111/bjh.14199] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 04/06/2016] [Indexed: 01/31/2023]
Abstract
Family clusters of multiple myeloma (MM) suggest disease heritability. Nevertheless, patterns of inheritance and the importance of genetic versus environmental risk factors in MM aetiology remain unclear. We pooled data from eleven case-control studies from the International Multiple Myeloma Consortium to characterize the association of MM risk with having a first-degree relative with a history of a lympho-haematapoietic cancer. Unconditional logistic regression models, adjusted for study, sex, age and education level, were used to estimate associations between MM risk and having a first-degree relative with a history of non-Hodgkin lymphoma, Hodgkin lymphoma, leukaemia or MM. Sex, African American race/ethnicity and age were explored as effect modifiers. A total of 2843 cases and 11 470 controls were included. MM risk was elevated in association with having a first-degree relative with any lympho-haematapoietic cancer (Odds Ratio (OR) = 1·29, 95% Confidence Interval (CI): 1·08-1·55). The association was particularly strong for having a first-degree relative with MM (OR = 1·90, 95% CI: 1·26-2·87), especially among men (OR = 4·13, 95% CI: 2·17-7·85) and African Americans (OR = 5·52, 95% CI: 1·87-16·27).These results support the hypothesis that genetic inheritance plays a role in MM aetiology. Future studies are warranted to characterize interactions of genetic markers with environmental exposures.
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Affiliation(s)
- Leah H Schinasi
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
| | - Elizabeth E Brown
- Department of Pathology and Comprehensive Cancer Center, School of Medicine, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Nicola J Camp
- Division of Hematology and Hematologic Malignancies, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Sophia S Wang
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brian C Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Lucia Miligi
- Institute for Study and Prevention of Cancer, Unit of Environmental and Occupational Health, Florence, Italy
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Alain Monnereau
- INSERM U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Epidemiology of childhood and adolescent cancers team (EPICEA), Villejuif, France.,Paris-Descartes University, UMRS-1153, Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Paris, France
| | - Jacqueline Clavel
- INSERM U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Epidemiology of childhood and adolescent cancers team (EPICEA), Villejuif, France.,Paris-Descartes University, UMRS-1153, Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Paris, France
| | - Guido J Tricot
- Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Djordje Atanackovic
- Division of Hematology and Hematologic Malignancies, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy
| | - Laurent Orsi
- INSERM U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Epidemiology of childhood and adolescent cancers team (EPICEA), Villejuif, France.,Paris-Descartes University, UMRS-1153, Epidemiology and Biostatistics Sorbonne Paris Cité Centre (CRESS), Paris, France
| | - James A Dosman
- Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, SK, USA
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wendy Cozen
- Departments of Preventive Medicine and Pathology, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anneclaire J de Roos
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
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Abstract
Multiple myeloma (MM) is a genetically complex disease. The past few years have seen an evolution in cancer research with the emergence of next-generation sequencing (NGS), enabling high throughput sequencing of tumors-including whole exome, whole genome, RNA, and single-cell sequencing as well as genome-wide association study (GWAS). A few inherited variants have been described, counting for some cases of familial disease. Hierarchically, primary events in MM can be divided into hyperdiploid (HDR) and nonhyperdiploid subtypes. HRD tumors are characterized by trisomy of chromosomes 3, 5, 7, 9, 11, 15, 19, and/or 21. Non-HRD tumors harbor IGH translocations, mainly t(4;14), t(6;14), t(11;14), t(14;16), and t(14;20). Secondary events participate to the tumor progression and consist in secondary translocation involving MYC, copy number variations (CNV) and somatic mutations (such as mutations in KRAS, NRAS, BRAF, P53). Moreover, the dissection of clonal heterogeneity helps to understand the evolution of the disease. The following review provides a comprehensive review of the genomic landscape in MM.
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Affiliation(s)
- Salomon Manier
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
- Department of Hematology, Lille Hospital University, Lille, France
| | - Karma Salem
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - Siobhan V Glavey
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - Aldo M Roccaro
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
- Department of Hematology, CREA Laboratory, ASST-Spedali Civili di Brescia, Brescia, BS, Italy
| | - Irene M Ghobrial
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
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VanValkenburg ME, Pruitt GI, Brill IK, Costa L, Ehtsham M, Justement IT, Innis-Shelton RD, Salzman D, Reddy ESP, Godby KN, Mikhail FM, Carroll AJ, Reddy VB, Sanderson RD, Justement LB, Sanders PW, Brown EE. Family history of hematologic malignancies and risk of multiple myeloma: differences by race and clinical features. Cancer Causes Control 2016; 27:81-91. [PMID: 26596855 PMCID: PMC4703620 DOI: 10.1007/s10552-015-0685-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 10/16/2015] [Indexed: 11/30/2022]
Abstract
PURPOSE Multiple myeloma (MM) is the most common hematologic malignancy affecting Blacks in the USA, with standardized incidence rates that are twofold to threefold higher than Whites. The rationale for the disparity is unclear. METHODS Using participants enrolled in the Molecular And Genetic Epidemiology study of myeloma (259 MM cases; 461 controls), we examined the risk of MM associated with family history of cancer, differences by race and among cases, defining clinical features. Risk estimates were calculated using odds ratios and corresponding 95% confidence intervals from logistic regression adjusted for confounders. RESULTS Overall, MM risk in cases with relatives affected with any hematologic malignancy was significantly elevated compared to controls (OR 1.89, 95% CI 1.25-2.86). Myeloma risk associated with a family history of MM was higher than the risk associated with any hematologic malignancy (OR 3.75, 95% CI 1.75-8.05), and the effect was greater for Blacks (OR 20.9, 95% CI 2.59-168) than Whites (OR 2.04, 95% 0.83-5.04), among cases with early onset (≤60 years; OR 4.58, 95% CI 1.21-17.3) and with increasing numbers of affected relatives (p trend = 0.001). Overall, frequencies of end organ damage differed in cases with relatives affected with any hematologic malignancy and significantly more cases exhibited κ light chain restriction (OR 3.23, 95% CI 1.13-9.26). CONCLUSIONS The excess risk of MM observed in Blacks and the variation in clinical features observed in MM patients according to family history of hematologic malignancy may be attributed to a shared germline and environmental susceptibility.
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Affiliation(s)
- MaryAnn E VanValkenburg
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294-3300, USA
| | - Gwendolyn I Pruitt
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ilene K Brill
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Luciano Costa
- Division of Hematology and Medical Oncology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Maryam Ehtsham
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
- School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ian T Justement
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
- School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Racquel D Innis-Shelton
- Division of Hematology and Medical Oncology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Donna Salzman
- Division of Hematology and Medical Oncology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - E Shyam P Reddy
- Cancer Biology Program, Department of Obstetrics and Gynecology, Morehouse School of Medicine, Atlanta, GA, USA
| | - Kelly N Godby
- Division of Hematology and Medical Oncology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Fady M Mikhail
- Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Andrew J Carroll
- Department of Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Vishnu B Reddy
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294-3300, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ralph D Sanderson
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294-3300, USA
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Louis B Justement
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Microbiology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul W Sanders
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Nephrology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Veterans Affairs Medical Center, Birmingham, AL, USA
| | - Elizabeth E Brown
- Department of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294-3300, USA.
- UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
- , 1824 6th Avenue South, WTI 602C, Birmingham, AL, 35294-3300, USA.
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40
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Search for familial clustering of multiple myeloma with any cancer. Leukemia 2015; 30:627-32. [PMID: 26449663 DOI: 10.1038/leu.2015.279] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 09/30/2015] [Accepted: 10/02/2015] [Indexed: 01/08/2023]
Abstract
Multiple myeloma (MM) is a disease of immunoglobulin-producing plasma cells, which reside mainly in the bone marrow. Family members of MM patients are at a risk of MM, but whether other malignancies are in excess in family members is not established and is the aim of this study. MM patients (24 137) were identified from the Swedish Cancer Registry from years 1958 to 2012. Relative risks (RRs) were calculated for MM defined by any cancer diagnosed in first-degree relatives and compared with individuals whose relatives had no cancer. MM was reliably associated with relative's colorectal, breast and prostate cancers, non-thyroid endocrine tumors, leukemia and cancer of unknown primary; in addition, MM was associated with subsites of bone and connective tissue tumors and of non-Hodgkin lymphoma, including lymphoplasmacytic lymphoma/Waldenström macroglobulinema (RR 3.47). MM showed a strong association (RR 1.91) in colorectal cancer families, possibly as part of an unidentified syndrome. All the associations of MM with discordant cancers are novel suggesting that MM shares genetic susceptibility with many cancers. The associations of MM bone and connective tissue tumors were supported by at least two independent results. Whether the results signal bone-related biology shared by MM and these tumors deserves further study.
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41
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Mitchell JS, Johnson DC, Litchfield K, Broderick P, Weinhold N, Davies FE, Gregory WA, Jackson GH, Kaiser M, Morgan GJ, Houlston RS. Implementation of genome-wide complex trait analysis to quantify the heritability in multiple myeloma. Sci Rep 2015; 5:12473. [PMID: 26208354 PMCID: PMC4513545 DOI: 10.1038/srep12473] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 06/17/2015] [Indexed: 11/09/2022] Open
Abstract
A sizeable fraction of multiple myeloma (MM) is expected to be explained by heritable factors. Genome-wide association studies (GWAS) have successfully identified a number of common single-nucleotide polymorphisms (SNPs) influencing MM risk. While these SNPs only explain a small proportion of the genetic risk it is unclear how much is left to be detected by other, yet to be identified, common SNPs. Therefore, we applied Genome-Wide Complex Trait Analysis (GCTA) to 2,282 cases and 5,197 controls individuals to estimate the heritability of MM. We estimated that the heritability explained by known common MM risk SNPs identified in GWAS was 2.9% (± 2.4%), whereas the heritability explained by all common SNPs was 15.2% (± 2.8%). Comparing the heritability explained by the common variants with that from family studies, a fraction of the heritability may be explained by other genetic variants, such as rare variants. In summary, our results suggest that known MM SNPs only explain a small proportion of the heritability and more common SNPs remain to be identified.
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Affiliation(s)
- Jonathan S. Mitchell
- Molecular and Population Genetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, UK
| | - David C. Johnson
- Department of Haemato-Oncology, Division of Pathology, The Institute of Cancer Research, Surrey, UK
| | - Kevin Litchfield
- Molecular and Population Genetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, UK
| | - Peter Broderick
- Molecular and Population Genetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Faith E. Davies
- Department of Haemato-Oncology, Division of Pathology, The Institute of Cancer Research, Surrey, UK
| | - Walter A. Gregory
- Leeds Institute of Molecular Medicine, Section of Clinical Trials Research, University of Leeds, Leeds, UK
| | | | - Martin Kaiser
- Centre for Myeloma Research, Division of Molecular Pathology, The Institute of Cancer Research, Sutton, UK
| | - Gareth J. Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Richard S. Houlston
- Molecular and Population Genetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, Surrey, UK
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42
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Swaminathan B, Thorleifsson G, Jöud M, Ali M, Johnsson E, Ajore R, Sulem P, Halvarsson BM, Eyjolfsson G, Haraldsdottir V, Hultman C, Ingelsson E, Kristinsson SY, Kähler AK, Lenhoff S, Masson G, Mellqvist UH, Månsson R, Nelander S, Olafsson I, Sigurðardottir O, Steingrimsdóttir H, Vangsted A, Vogel U, Waage A, Nahi H, Gudbjartsson DF, Rafnar T, Turesson I, Gullberg U, Stefánsson K, Hansson M, Thorsteinsdóttir U, Nilsson B. Variants in ELL2 influencing immunoglobulin levels associate with multiple myeloma. Nat Commun 2015; 6:7213. [PMID: 26007630 PMCID: PMC4455110 DOI: 10.1038/ncomms8213] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 04/20/2015] [Indexed: 02/07/2023] Open
Abstract
Multiple myeloma (MM) is characterized by an uninhibited, clonal growth of plasma cells. While first-degree relatives of patients with MM show an increased risk of MM, the genetic basis of inherited MM susceptibility is incompletely understood. Here we report a genome-wide association study in the Nordic region identifying a novel MM risk locus at ELL2 (rs56219066T; odds ratio (OR)=1.25; P=9.6 × 10(-10)). This gene encodes a stoichiometrically limiting component of the super-elongation complex that drives secretory-specific immunoglobulin mRNA production and transcriptional regulation in plasma cells. We find that the MM risk allele harbours a Thr298Ala missense variant in an ELL2 domain required for transcription elongation. Consistent with a hypomorphic effect, we find that the MM risk allele also associates with reduced levels of immunoglobulin A (IgA) and G (IgG) in healthy subjects (P=8.6 × 10(-9) and P=6.4 × 10(-3), respectively) and, potentially, with an increased risk of bacterial meningitis (OR=1.30; P=0.0024).
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Affiliation(s)
- Bhairavi Swaminathan
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | | | - Magnus Jöud
- 1] Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden [2] Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, Akutgatan 8, SE-221 85 Lund, Sweden
| | - Mina Ali
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | - Ellinor Johnsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | - Ram Ajore
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | - Patrick Sulem
- deCODE genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
| | - Britt-Marie Halvarsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | | | - Vilhelmina Haraldsdottir
- Department of Hematology, Landspitali, The National University Hospital of Iceland, IS-101 Reykjavik, Iceland
| | - Christina Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden
| | | | - Anna K Kähler
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Stig Lenhoff
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Gisli Masson
- deCODE genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
| | - Ulf-Henrik Mellqvist
- Section of Hematology, Sahlgrenska University Hospital, SE-413 45 Gothenburg, Sweden
| | - Robert Månsson
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Sven Nelander
- Department of Immunology, Pathology and Genetics, Uppsala University, Rudbeck Laboratory, SE-751 05 Uppsala, Sweden
| | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali, The National University Hospital of Iceland, IS-101 Reykjavik, Iceland
| | - Olof Sigurðardottir
- Department of Clinical Biochemistry, Akureyri Hospital, IS-600 Akureyri, Iceland
| | - Hlif Steingrimsdóttir
- Department of Hematology, Landspitali, The National University Hospital of Iceland, IS-101 Reykjavik, Iceland
| | - Annette Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Ulla Vogel
- National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491 Trondheim, Norway
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | | | - Thorunn Rafnar
- deCODE genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
| | - Ingemar Turesson
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Urban Gullberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden
| | | | - Markus Hansson
- 1] Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden [2] Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | | | - Björn Nilsson
- 1] Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund University, BMC B13, SE-221 84 Lund, Sweden [2] Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, Akutgatan 8, SE-221 85 Lund, Sweden [3] Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA
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Campa D, Martino A, Varkonyi J, Lesueur F, Jamroziak K, Landi S, Jurczyszyn A, Marques H, Andersen V, Jurado M, Brenner H, Petrini M, Vogel U, García-Sanz R, Buda G, Gemignani F, Ríos R, Vangsted AJ, Dumontet C, Martínez-López J, Moreno MJ, Stępień A, Wątek M, Moreno V, Dieffenbach AK, Rossi AM, Butterbach K, Jacobsen SEH, Goldschmidt H, Sainz J, Hillengass J, Orciuolo E, Dudziński M, Weinhold N, Reis RM, Canzian F. Risk of multiple myeloma is associated with polymorphisms within telomerase genes and telomere length. Int J Cancer 2014; 136:E351-8. [PMID: 25066524 DOI: 10.1002/ijc.29101] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 06/23/2014] [Indexed: 12/28/2022]
Abstract
Compelling biological and epidemiological evidences point to a key role of genetic variants of the TERT and TERC genes in cancer development. We analyzed the genetic variability of these two gene regions using samples of 2,267 multiple myeloma (MM) cases and 2,796 healthy controls. We found that a TERT variant, rs2242652, is associated with reduced MM susceptibility (OR = 0.81; 95% CI: 0.72-0.92; p = 0.001). In addition we measured the leukocyte telomere length (LTL) in a subgroup of 140 cases who were chemotherapy-free at the time of blood donation and 468 controls, and found that MM patients had longer telomeres compared to controls (OR = 1.19; 95% CI: 0.63-2.24; p(trend) = 0.01 comparing the quartile with the longest LTL versus the shortest LTL). Our data suggest the hypothesis of decreased disease risk by genetic variants that reduce the efficiency of the telomerase complex. This reduced efficiency leads to shorter telomere ends, which in turn may also be a marker of decreased MM risk.
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Affiliation(s)
- Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Inherited polymorphisms in hyaluronan synthase 1 predict risk of systemic B-cell malignancies but not of breast cancer. PLoS One 2014; 9:e100691. [PMID: 24950197 PMCID: PMC4065063 DOI: 10.1371/journal.pone.0100691] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Accepted: 05/27/2014] [Indexed: 12/11/2022] Open
Abstract
Genetic variations in the hyaluronan synthase 1 gene (HAS1) influence HAS1 aberrant splicing. HAS1 is aberrantly spliced in malignant cells from multiple myeloma (MM) and Waldenstrom macroglobulinemia (WM), but not in their counterparts from healthy donors. The presence of aberrant HAS1 splice variants predicts for poor survival in multiple myeloma (MM). We evaluated the influence of inherited HAS1 single nucleotide polymorphisms (SNP) on the risk of having a systemic B cell malignancy in 1414 individuals compromising 832 patients and 582 healthy controls, including familial analysis of an Icelandic kindred. We sequenced HAS1 gene segments from 181 patients with MM, 98 with monoclonal gammopathy of undetermined significance (MGUS), 72 with Waldenstrom macroglobulinemia (WM), 169 with chronic lymphocytic leukemia (CLL), as well as 34 members of a monoclonal gammopathy-prone Icelandic family, 212 age-matched healthy donors and a case-control cohort of 295 breast cancer patients with 353 healthy controls. Three linked single nucleotide polymorphisms (SNP) in HAS1 intron3 are significantly associated with B-cell malignancies (range p = 0.007 to p = 10(-5)), but not MGUS or breast cancer, and predict risk in a 34 member Icelandic family (p = 0.005, Odds Ratio = 5.8 (OR)), a relatively homogeneous cohort. In contrast, exon3 SNPs were not significantly different among the study groups. Pooled analyses showed a strong association between the linked HAS1 intron3 SNPs and B-cell malignancies (OR = 1.78), but not for sporadic MGUS or for breast cancer (OR<1.0). The minor allele genotypes of HAS1 SNPs are significantly more frequent in MM, WM, CLL and in affected members of a monoclonal gammopathy-prone family than they are in breast cancer, sporadic MGUS or healthy donors. These inherited changes may increase the risk for systemic B-cell malignancies but not for solid tumors.
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45
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The genetic architecture of multiple myeloma. Adv Hematol 2014; 2014:864058. [PMID: 24803933 PMCID: PMC3996928 DOI: 10.1155/2014/864058] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Accepted: 02/16/2014] [Indexed: 11/18/2022] Open
Abstract
Multiple myeloma is a malignant proliferation of monoclonal plasma cells leading to clinical features that include hypercalcaemia, renal dysfunction, anaemia, and bone disease (frequently referred to by the acronym CRAB) which represent evidence of end organ failure. Recent evidence has revealed myeloma to be a highly heterogeneous disease composed of multiple molecularly-defined subtypes each with varying clinicopathological features and disease outcomes. The major division within myeloma is between hyperdiploid and nonhyperdiploid subtypes. In this division, hyperdiploid myeloma is characterised by trisomies of certain odd numbered chromosomes, namely, 3, 5, 7, 9, 11, 15, 19, and 21 whereas nonhyperdiploid myeloma is characterised by translocations of the immunoglobulin heavy chain alleles at chromosome 14q32 with various partner chromosomes, the most important of which being 4, 6, 11, 16, and 20. Hyperdiploid and nonhyperdiploid changes appear to represent early or even initiating mutagenic events that are subsequently followed by secondary aberrations including copy number abnormalities, additional translocations, mutations, and epigenetic modifications which lead to plasma cell immortalisation and disease progression. The following review provides a comprehensive coverage of the genetic and epigenetic events contributing to the initiation and progression of multiple myeloma and where possible these abnormalities have been linked to disease prognosis.
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Morgan GJ, Johnson DC, Weinhold N, Goldschmidt H, Landgren O, Lynch HT, Hemminki K, Houlston RS. Inherited genetic susceptibility to multiple myeloma. Leukemia 2014; 28:518-24. [PMID: 24247655 DOI: 10.1038/leu.2013.344] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 10/15/2013] [Accepted: 10/17/2013] [Indexed: 12/29/2022]
Abstract
Although the familial clustering of multiple myeloma (MM) supports the role of inherited susceptibility, only recently has direct evidence for genetic predisposition been demonstrated. A meta-analysis of two genome-wide association (GWA) studies has identified single-nucleotide polymorphisms (SNPs) localising to a number of genomic regions that are robustly associated with MM risk. In this review, we provide an overview of the evidence supporting a genetic contribution to the predisposition to MM and MGUS (monoclonal gammopathy of unknown significance), and the insight this gives into the biological basis of disease aetiology. We also highlight the promise of future approaches to identify further specific risk factors and their potential clinical utility.
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Affiliation(s)
- G J Morgan
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - D C Johnson
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - N Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - H Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - O Landgren
- Multiple Myeloma Section, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - H T Lynch
- Department of Preventive Medicine, Creighton's Hereditary Cancer Center, Omaha, NE, USA
| | - K Hemminki
- 1] Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany [2] Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - R S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
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Chubb D, Weinhold N, Broderick P, Chen B, Johnson DC, Försti A, Vijayakrishnan J, Migliorini G, Dobbins SE, Holroyd A, Hose D, Walker BA, Davies FE, Gregory WA, Jackson GH, Irving JA, Pratt G, Fegan C, Fenton JA, Neben K, Hoffmann P, Nöthen MM, Mühleisen TW, Eisele L, Ross FM, Straka C, Einsele H, Langer C, Dörner E, Allan JM, Jauch A, Morgan GJ, Hemminki K, Houlston RS, Goldschmidt H. Common variation at 3q26.2, 6p21.33, 17p11.2 and 22q13.1 influences multiple myeloma risk. Nat Genet 2013; 45:1221-1225. [PMID: 23955597 PMCID: PMC5053356 DOI: 10.1038/ng.2733] [Citation(s) in RCA: 132] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 07/26/2013] [Indexed: 02/07/2023]
Abstract
To identify variants for multiple myeloma risk, we conducted a genome-wide association study with validation in additional series totaling 4,692 individuals with multiple myeloma (cases) and 10,990 controls. We identified four risk loci at 3q26.2 (rs10936599, P = 8.70 × 10(-14)), 6p21.33 (rs2285803, PSORS1C2, P = 9.67 × 10(-11)), 17p11.2 (rs4273077, TNFRSF13B, P = 7.67 × 10(-9)) and 22q13.1 (rs877529, CBX7, P = 7.63 × 10(-16)). These data provide further evidence for genetic susceptibility to this B-cell hematological malignancy, as well as insight into the biological basis of predisposition.
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Affiliation(s)
- Daniel Chubb
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Bowang Chen
- German Cancer Research Center, Heidelberg, Germany
| | - David C Johnson
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Asta Försti
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | | | - Gabriele Migliorini
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Sara E Dobbins
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Amy Holroyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Dirk Hose
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
| | - Brian A Walker
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Faith E Davies
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | | | | | - Julie A Irving
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne, UK
| | - Guy Pratt
- Department of Haematology, Birmingham Heartlands Hospital, Birmingham, UK
| | - Chris Fegan
- Department of Haematology, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Kai Neben
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Thomas W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Germany
| | - Fiona M Ross
- Cytogenetics Group, Wessex Regional Cytogenetic Laboratory, Salisbury, UK
| | | | | | - Christian Langer
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Elisabeth Dörner
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - James M Allan
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne, UK
| | - Anna Jauch
- Institute of Human Genetics, University of Heidelberg, Germany
| | - Gareth J Morgan
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Kari Hemminki
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
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Abstract
Abstract
Recent advances in multiple myeloma (MM) therapy have led to significantly longer median survival rates and some patients being cured. At the same time, our understanding of MM biology and the molecular mechanisms driving the disease is constantly improving. Next-generation sequencing technologies now allow insights into the genetic aberrations in MM at a genome-wide scale and across different developmental stages in the course of an individual tumor. This improved knowledge about MM biology needs to be rapidly translated and transformed into diagnostic and therapeutic applications to finally achieve cure in a larger proportion of patients. As a part of these translational efforts, novel drugs that inhibit oncogenic proteins overexpressed in defined molecular subgroups of the disease, such as FGFR3 and MMSET in t(4;14) MM, are currently being developed. The potential of targeted next-generation diagnostic tests to rapidly identify clinically relevant molecular subgroups is being evaluated. The technical tools to detect and define tumor subclones may potentially become clinically relevant because intraclonal tumor heterogeneity has become apparent in many cancers. The emergence of different MM subclones under the selective pressure of treatment is important in MM, especially in the context of maintenance therapy and treatment for asymptomatic stages of the disease. Finally, novel diagnostic and therapeutic achievements have to be implemented into innovative clinical trial strategies with smaller trials for molecularly defined high-risk patients and large trials with a long follow-up for the patients most profiting from the current treatment protocols. These combined approaches will hopefully transform the current one-for-all care into a more tailored, individual therapeutic strategy for MM patients.
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Martino A, Campa D, Jamroziak K, Reis RM, Sainz J, Buda G, García-Sanz R, Lesueur F, Marques H, Moreno V, Jurado M, Ríos R, Szemraj-Rogucka Z, Szemraj J, Tjønneland A, Overvad K, Vangsted AJ, Vogel U, Mikala G, Kádár K, Szombath G, Varkonyi J, Orciuolo E, Dumontet C, Gemignani F, Rossi AM, Landi S, Petrini M, Houlston RS, Hemminki K, Canzian F. Impact of polymorphic variation at 7p15.3, 3p22.1 and 2p23.3 loci on risk of multiple myeloma. Br J Haematol 2012; 158:805-9. [PMID: 22823248 DOI: 10.1111/j.1365-2141.2012.09244.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
MESH Headings
- Biological Specimen Banks
- Chromosome Mapping
- Chromosomes, Human, Pair 2/genetics
- Chromosomes, Human, Pair 2/ultrastructure
- Chromosomes, Human, Pair 3/genetics
- Chromosomes, Human, Pair 3/ultrastructure
- Chromosomes, Human, Pair 7/genetics
- Chromosomes, Human, Pair 7/ultrastructure
- Female
- Genes, myc
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Genotype
- Germany/epidemiology
- Humans
- Male
- Multiple Myeloma/epidemiology
- Multiple Myeloma/genetics
- Polymorphism, Single Nucleotide
- Risk
- United Kingdom/epidemiology
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Abstract
Based on the clinical features of myeloma and related malignancies of plasma cells, it has been possible to generate a model system of myeloma progression from a normal plasma cell through smouldering myeloma to myeloma and then plasma cell leukaemia. Using this model system we can study at which points the genetic alterations identified through whole-tumour molecular analyses function in the initiation and progression of myeloma. Further genetic complexity, such as intraclonal heterogeneity, and insights into the molecular evolution and intraclonal dynamics in this model system are crucial to our understandings of tumour progression, treatment resistance and the use of currently available and future treatments.
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Affiliation(s)
- Gareth J Morgan
- Haemato-oncology Research Unit, Division of Molecular Pathology, The Institute of Cancer Research and Royal Marsden Hospital, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK.
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