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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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2
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Anwer F, Lan T, Dolph M, Moradian H, Slaff S, Shih YH, Tang D. Survival trends using DPd vs. other triplets in early RRMM patients: a population-adjusted indirect treatment comparison. Future Oncol 2024:1-10. [PMID: 39611661 DOI: 10.1080/14796694.2024.2426443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 11/04/2024] [Indexed: 11/30/2024] Open
Abstract
AIMS Limited head-to-head data exist for daratumumab plus pomalidomide and dexamethasone (DPd) and non-pomalidomide-containing triplet regimens to treat relapsed/refractory multiple myeloma (RRMM). This study conducted population-adjusted indirect comparisons of overall survival (OS) for DPd vs. daratumumab, carfilzomib, and dexamethasone (DKd) and daratumumab, bortezomib, and dexamethasone (DVd). MATERIALS & METHODS A systematic literature review was performed via searches of databases and relevant conference proceedings. Both simulated treatment comparison (STC) and matching-adjusted indirect comparison (MAIC) were used to adjust for between-trial differences. RESULTS Seven randomized controlled trials were identified, five of which were subsequently excluded from the indirect treatment comparison during feasibility assessment. A consistent OS benefit was observed for DPd vs. DKd and DVd for patients with RRMM, using both STC and MAIC methods. CONCLUSIONS The findings of this study support the use of DPd over DKd and DVd for the treatment of patients with early RRMM.
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Affiliation(s)
- Faiz Anwer
- Hematology, Oncology, Multiple Myeloma, Blood and Marrow Transplant Program, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, OH, USA
| | | | | | | | | | | | - Derek Tang
- Bristol Myers Squibb, Princeton, NJ, USA
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3
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Schmidt T, Gahvari Z, Callander NS. SOHO State of the Art Updates and Next Questions: Diagnosis and Management of Monoclonal Gammopathy of Undetermined Significance and Smoldering Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024; 24:653-664. [PMID: 38641486 DOI: 10.1016/j.clml.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 03/14/2024] [Indexed: 04/21/2024]
Abstract
Monoclonal proteins are common, with a prevalence in the United States around 5% and the incidence increases with age. Although most patients are asymptomatic, the vast majority of cases are caused by a clonal plasma cell disorder. Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are asymptomatic precursor conditions with variable risk of progression to multiple myeloma (MM). In recent years, significant progress has been made to better understand the factors that lead to the development of symptoms and progression to myeloma. In this review, we summarize the current diagnosis treatment guidelines for MGUS and SMM and highlight recent advances that underscore a shifting paradigm in the evaluation and management of plasma cell precursor conditions.
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Affiliation(s)
- Timothy Schmidt
- Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison WI
| | - Zhubin Gahvari
- Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison WI
| | - Natalie S Callander
- Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison WI.
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4
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Arnold KD, Ong KL, Ravi G, Cutshall H, Purnell K, Wessel MC, Godby KN, Bal S, Giri S, Rogers LQ, Demark-Wahnefried W, Davies FE, Costa LJ, Morgan GJ, Birmann BM, Brown EE. Anthropometric traits and risk of multiple myeloma: differences by race, sex and diagnostic clinical features. Br J Cancer 2024; 131:312-324. [PMID: 38849476 PMCID: PMC11263363 DOI: 10.1038/s41416-024-02723-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 05/03/2024] [Accepted: 05/13/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Obesity is an established modifiable risk factor for multiple myeloma (MM). However, associations of obesity and MM risk in Black populations, for whom obesity and MM are more common, is less clear. METHODS Using participants enrolled in the Integrative Molecular And Genetic Epidemiology study, we evaluated the association of anthropometric traits with MM risk overall, stratified by race and sex. Among cases, we assessed the association of BMI with the presence of myeloma-defining events. RESULTS We observed an 18% increase in MM risk for every 5 kg/m2 increase in usual adult BMI. Participants with severe obesity (BMI ≥ 40 kg/m2) had the highest risk compared to those with a normal usual adult BMI (18.5-24.9 kg/m2; OR = 1.87, 95% CI 1.25-2.80), particularly among Black men (OR = 3.94, 95% CI 0.90-17.36). Furthermore, MM cases with overweight/obesity (BMI ≥ 25 kg/m2) were more likely to present at diagnosis with low renal function (OR = 1.62, 95% CI 1.09-2.40), deletion 13q (OR = 1.73, 95% CI 1.08-2.76) and lytic lesions or compression fractures (OR = 2.39, 95% CI 0.82-7.01) and less likely to present with severe diffuse osteopenia (OR = 0.51, 95% CI 0.31-0.81). CONCLUSIONS Findings underscore the importance of obesity as a modifiable risk factor for MM, particularly in high-risk populations, and for the clinical presentation of disease.
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Affiliation(s)
- Kevin D Arnold
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Krystle L Ong
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Gayathri Ravi
- Division of Hematology and Medical Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Hannah Cutshall
- Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Kalyn Purnell
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Meredith C Wessel
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Kelly N Godby
- Division of Hematology and Medical Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Susan Bal
- Division of Hematology and Medical Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Smith Giri
- Division of Hematology and Medical Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Laura Q Rogers
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Division of Preventive Medicine, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Wendy Demark-Wahnefried
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Faith E Davies
- Perlmutter Comprehensive Cancer Center, Langone Medical Center, New York University, New York, NY, 10021, USA
| | - Luciano J Costa
- Division of Hematology and Medical Oncology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Gareth J Morgan
- Perlmutter Comprehensive Cancer Center, Langone Medical Center, New York University, New York, NY, 10021, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Elizabeth E Brown
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
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5
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Malard F, Neri P, Bahlis NJ, Terpos E, Moukalled N, Hungria VTM, Manier S, Mohty M. Multiple myeloma. Nat Rev Dis Primers 2024; 10:45. [PMID: 38937492 DOI: 10.1038/s41572-024-00529-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin protein. MM is the second most common haematological malignancy, with an increasing global incidence. It remains incurable because most patients relapse or become refractory to treatments. MM is a genetically complex disease with high heterogeneity that develops as a multistep process, involving acquisition of genetic alterations in the tumour cells and changes in the bone marrow microenvironment. Symptomatic MM is diagnosed using the International Myeloma Working Group criteria as a bone marrow infiltration of ≥10% clonal plasma cells, and the presence of at least one myeloma-defining event, either standard CRAB features (hypercalcaemia, renal failure, anaemia and/or lytic bone lesions) or biomarkers of imminent organ damage. Younger and fit patients are considered eligible for transplant. They receive an induction, followed by consolidation with high-dose melphalan and autologous haematopoietic cell transplantation, and maintenance therapy. In older adults (ineligible for transplant), the combination of daratumumab, lenalidomide and dexamethasone is the preferred option. If relapse occurs and requires further therapy, the choice of therapy will be based on previous treatment and response and now includes immunotherapies, such as bi-specific monoclonal antibodies and chimeric antigen receptor T cell therapy.
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Affiliation(s)
- Florent Malard
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
| | - Paola Neri
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Nizar J Bahlis
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Evangelos Terpos
- Department of Clinical Therapeutics, Alexandra General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Nour Moukalled
- Bone Marrow Transplantation Program, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - Salomon Manier
- Department of Hematology, Lille University Hospital and INSERM UMR-S1277 and CNRS UMR9020, Lille, France
| | - Mohamad Mohty
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.
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6
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Zhu DT, Park A, Lai A, Zhang L, Attar H, Rebbeck TR. Multiple myeloma incidence and mortality trends in the United States, 1999-2020. Sci Rep 2024; 14:14564. [PMID: 38914692 PMCID: PMC11196710 DOI: 10.1038/s41598-024-65590-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 06/21/2024] [Indexed: 06/26/2024] Open
Abstract
Multiple myeloma (MM) is a plasma cell disorder accounting for approximately 10% of hematologic malignancies. There is limited epidemiological evidence regarding the long-term trends and disparities in MM in the US. We conducted a multiple time point cross-sectional study using MM incidence rate data from the Surveillance, Epidemiology, and End Results (SEER) database and mortality data from the CDC Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Underlying Cause of Death database between 1999 and 2020. During this period, MM incidence has steadily increased, while MM mortality has steadily decreased, with substantial racial and ethnic disparities. Non-Hispanic Black individuals exhibited the highest incidence rates, which consistently rose from 12.02 (95% CI 10.54, 13.64) in 1999 to 14.20 (95% CI 12.93, 15.55) per 100,000 population by 2020. Non-Hispanic American Indian/Native Alaskans and Asian/Pacific Islanders demonstrated the lowest incidence rates of 5.59 (95% CI 2.69, 10.04) and 3.56 (95% CI 2.94, 4.27) per 100,000 population in 1999 to 5.76 (95% CI 3.49, 8.90) and 3.92 (95% CI 3.46, 4.42) per 100,000 population, respectively, by 2020. Disparities by gender, age, US census region, and rurality were observed, underscoring the importance of targeted, equity-centered interventions and MM screening initiatives for at-risk populations.
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Affiliation(s)
- David T Zhu
- Medical Scientist Training Program, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA.
- School of Medicine, Virginia Commonwealth University, 1201 E Marshall St, RichmondRichmond, VA, 23298, USA.
| | - Andrew Park
- School of Medicine, Virginia Commonwealth University, 1201 E Marshall St, RichmondRichmond, VA, 23298, USA
| | - Alan Lai
- School of Medicine, Virginia Commonwealth University, 1201 E Marshall St, RichmondRichmond, VA, 23298, USA
| | - Lingxiao Zhang
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, 06510, USA
| | - Hiba Attar
- Department of Microbiology and Immunology, Schulich School of Medicine & Dentistry, London, ON, N6A 5C1, Canada
| | - Timothy R Rebbeck
- Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health, Boston, MA, 02215, USA
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7
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Bhutani M, Blue BJ, Cole C, Badros AZ, Usmani SZ, Nooka AK, Bernal-Mizrachi L, Mikhael J. Addressing the disparities: the approach to the African American patient with multiple myeloma. Blood Cancer J 2023; 13:189. [PMID: 38110338 PMCID: PMC10728116 DOI: 10.1038/s41408-023-00961-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023] Open
Abstract
There are significant disparities with regards to incidence, timely diagnosis, access to treatment, clinical trial participation and health care utilization that negatively impact outcomes for African American patients with multiple myeloma. Health care providers have a role in ameliorating these disparities with thoughtful consideration of historical, sociocultural, individual and disease characteristics that influence the care provided to African American patient population. This review by a group of experts committed to health disparity in multiple myeloma provides a snapshot of disparities at both biologic and non-biologic levels, barriers to clinical care, and best practices to ensure that African American patients receive the best care available.
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Affiliation(s)
- Manisha Bhutani
- Department of Hematologic Oncology and Blood Disorders, Atrium Health Levine Cancer Institute/Wake Forest School of Medicine, Charlotte, NC, USA.
| | - Brandon J Blue
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Craig Cole
- Division of Hematology and Oncology, Michigan State University, College of Human Medicine/Karmanos Cancer Institute at McLaren Greater Lansing, Lansing, MI, USA
| | - Ashraf Z Badros
- Department of Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ajay K Nooka
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Leon Bernal-Mizrachi
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Joseph Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ, USA
- International Myeloma Foundation, Studio City, CA, USA
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8
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Dally N, Baranes M, Akria L, Kashlikov M, Tarabia K, Sharabi-Nov A, Suriu C, Braester A. Ethnic disparities in presentation but not outcome in multiple myeloma patients: a multicenter retrospective study in Northern Israel. Leuk Lymphoma 2023; 64:2148-2155. [PMID: 37715316 DOI: 10.1080/10428194.2023.2251072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/18/2023] [Indexed: 09/17/2023]
Abstract
Several studies showed ethnic disparities in multiple myeloma (MM) incidence and prognosis. In order to compare prognosis and overall survival between different ethnic groups, a multicenter retrospective study was conducted in Northern Israel. A total of 145 patients suffering from MM were included (72% Jewish, and 28% Arabs) who were treated between 2008-2018. A difference was found in the stage of the disease at the time of diagnosis, patients of Arab origin were diagnosed at a more advanced stage (III), (53.7% vs. 33.7%, respectively). A mortality rate of 48.9% was found in the study, regardless of population ethnic origin. No significant differences in rates of MGUS, MM symptoms, treatments, or progression-free survival (PFS) and overall survival (OS) were observed between ethnic groups. This suggests that raising awareness of MM may result in an earlier diagnosis, especially among patients of Arab origin, preventing unnecessary suffering from these patients.
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Affiliation(s)
- Najib Dally
- Hematology Institute Ziv Medical Center, Safed, Israel
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Myriam Baranes
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Luiza Akria
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
| | | | | | - Adi Sharabi-Nov
- Hematology Institute Ziv Medical Center, Safed, Israel
- Tel-Hai Academic College, Kiryat Shmona, Israel
| | - Celia Suriu
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
| | - Andrei Braester
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Hematology Institute the Galilee Medical Center, Naharia, Israel
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9
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Blue B, Pierre A, Mikhael J. Culturally Responsive Care Delivery in Oncology: The Example of Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:651-659. [PMID: 37290997 DOI: 10.1016/j.clml.2023.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/27/2023] [Accepted: 05/04/2023] [Indexed: 06/10/2023]
Abstract
Multiple myeloma (MM) represents ∼1% of all cancers and is the second most common hematologic malignancy worldwide. The incidence of MM is at least two times higher in Blacks/African Americans compared with their White counterparts, and Hispanics/Latinxs are among the youngest patients diagnosed with the disease. Recent advances in available treatments for MM have demonstrated significant improvement in survival outcomes; however, patients from non-White racial/ethnic groups clinically benefit less due to multiple factors including access to care, socioeconomic status, medical mistrust, underutilization of novel therapies, and exclusion from clinical trials. Health inequities in disease characteristics and risk factors based on race also contribute to inequities in outcomes. In this review, we highlight racial/ethnic factors as well as structural barriers attributed to variations in MM epidemiology and management. We focus on three populations-Black/African American, Hispanic/Latinx, and American Indian/Alaska Native-and review factors that healthcare professionals may consider when treating patients of color. We offer tangible advice for healthcare professionals on how to incorporate cultural humility into their practice by following the five key steps: establishing trust, respecting cultural diversity, undergoing cross-cultural training, counseling patients on appropriate available clinical trial options, and connecting patients to community resources. The outlined recommendations will help the medical community to better understand and apply the important concept of cultural humility into their practice to provide the best care for all their patients, regardless of race/ethnicity.
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Affiliation(s)
- Brandon Blue
- H. Lee Moffitt Cancer Center and Research Institute, Department of Malignant Hematology, Tampa, FL.
| | - Amy Pierre
- Memorial Sloan Kettering Cancer Center, Division of Multiple Myeloma and Lymphoma, Montvale, NJ; Flatiron Health, Division of Research Oncology and Real World Evidence, New York, NY
| | - Joseph Mikhael
- Translational Genomics Research Institute, City of Hope Cancer Center, Phoenix, AZ; International Myeloma Foundation, Chief Medical Officer, Studio City, CA
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10
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Allen PC, Roberts K, Rubio JE, Tiwari HK, Absher DM, Cooper SJ, Myers RM, Brown EE. Genome-wide DNA methylation analysis implicates enrichment of interferon pathway in African American patients with Systemic Lupus Erythematosus and European Americans with lupus nephritis. J Autoimmun 2023; 139:103089. [PMID: 37506491 PMCID: PMC10529132 DOI: 10.1016/j.jaut.2023.103089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/29/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023]
Abstract
Systemic Lupus Erythematosus (SLE) is a chronic, multisystem, inflammatory autoimmune disease that disproportionately affects women. Trends in SLE prevalence and clinical course differ by ancestry, with those of African American ancestry presenting with more active, severe and rapidly progressive disease than European Americans. Previous research established altered epigenetic signatures in SLE patients compared to controls. However, the contribution of aberrant DNA methylation (DNAm) to the risk of SLE by ancestry and differences among patients with SLE-associated Lupus Nephritis (LN) has not been well described. We evaluated the DNA methylomes of 87 individuals including 41 SLE patients, with and without LN, and 46 controls enrolled in an ancestry diverse, well-characterized cohort study of established SLE (41 SLE patients [20 SLE-LN+, 21 SLE-LN-] and 46 sex-, race- and age-matched controls; 55% African American, 45% European American). Participants were genotyped using the Infinium Global Diversity Array (GDA), and genetic ancestry was estimated using principal components. Genome-wide DNA methylation was initially measured using the Illumina MethylationEPIC 850K Beadchip array followed by methylation-specific qPCR to validate the methylation status at putative loci. Differentially Methylated Positions (DMP) were identified using a case-control approach adjusted for ancestry. We identified a total of 51 DMPs in CpGs among SLE patients compared to controls. Genes proximal to these CpGs were highly enriched for involvement in type I interferon signaling. DMPs among European American SLE patients with LN were similar to African American SLE patients with and without LN. Our findings were validated using an orthogonal, methyl-specific PCR for three SLE-associated DMPs near or proximal to MX1, USP18, and IFITM1. Our study confirms previous reports that DMPs in CpGs associated with SLE are enriched in type I interferon genes. However, we show that European American SLE patients with LN have similar DNAm patterns to African American SLE patients irrespective of LN, suggesting that aberrant DNAm alters activity of type I interferon pathway leading to more severe disease independent of ancestry.
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Affiliation(s)
- Peter C Allen
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA; HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Kevin Roberts
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jose E Rubio
- Department of Rheumatology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Sara J Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
| | - Elizabeth E Brown
- Department of Pathology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
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11
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Ong KL, Davis MD, Purnell KK, Cutshall H, Pal HC, Connelly AN, Fay CX, Kuznetsova V, Brown EE, Hel Z. Distinct phenotype of neutrophil, monocyte, and eosinophil populations indicates altered myelopoiesis in a subset of patients with multiple myeloma. Front Oncol 2023; 12:1074779. [PMID: 36733370 PMCID: PMC9888259 DOI: 10.3389/fonc.2022.1074779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/09/2022] [Indexed: 01/19/2023] Open
Abstract
Hematologic malignancies, including multiple myeloma (MM), promote systemic immune dysregulation resulting in an alteration and increased plasticity of myeloid cell subsets. To determine the heterogeneity of the myeloid cell compartment in the peripheral blood of patients with MM, we performed a detailed investigation of the phenotype and function of myeloid subpopulations. We report that a subset of MM patients exhibits a specific myeloid cell phenotype indicative of altered myelopoiesis characterized by significant changes in the properties of circulating granulocytic, monocytic, and eosinophilic populations. The subset, referred to as MM2, is defined by a markedly elevated level of CD64 (FcγRI) on the surface of circulating neutrophils. Compared to healthy controls or MM1 patients displaying intermediate levels of CD64, neutrophils from MM2 patients exhibit a less differentiated phenotype, low levels of CD10 and CXC chemokine receptor 2 (CXCR2), increased capacity for the production of mitochondrial reactive oxygen species, and an expansion of CD16neg immature neutrophil subset. Classical and patrolling monocytes from MM2 patients express elevated levels of CD64 and activation markers. MM2 eosinophils display lower levels of C-C Chemokine receptor 3 (CCR3), Toll-like receptor 4 (TLR4, CD284), and tissue factor (TF, CD142). The MM2 (CD64high) phenotype is independent of age, race, sex, and treatment type. Characteristic features of the MM2 (CD64high) phenotype are associated with myeloma-defining events including elevated involved/uninvolved immunoglobulin free light chain (FLC) ratio at diagnosis. Detailed characterization of the altered myeloid phenotype in multiple myeloma will likely facilitate the identification of patients with an increased risk of disease progression and open new avenues for the rational design of novel therapeutic approaches.
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Affiliation(s)
- Krystle L. Ong
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Marcus D. Davis
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Kalyn K. Purnell
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Hannah Cutshall
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Harish C. Pal
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Ashley N. Connelly
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Christian X. Fay
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Valeriya Kuznetsova
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Elizabeth E. Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States,O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Zdenek Hel
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States,O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, United States,Center for AIDS Research, University of Alabama at Birmingham, Birmingham, AL, United States,*Correspondence: Zdenek Hel,
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12
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Mikhael J, Bhutani M, Cole CE. Multiple Myeloma for the Primary Care Provider: A Practical Review to Promote Earlier Diagnosis Among Diverse Populations. Am J Med 2023; 136:33-41. [PMID: 36150517 DOI: 10.1016/j.amjmed.2022.08.030] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/24/2022] [Accepted: 08/29/2022] [Indexed: 12/13/2022]
Abstract
Multiple myeloma is the second most common hematologic malignancy in the United States and the most common hematologic malignancy among Blacks/African Americans. Delay in diagnosis is common and has been associated with inferior disease-free survival and increased rates of myeloma-related complications. Despite a roughly 2-times higher risk of multiple myeloma, diagnostic delay appears more common, and improvements in 5-year survival rates have been slower among Blacks/African Americans than their White counterparts. When patient symptoms and basic laboratory findings are suggestive of multiple myeloma, the primary care provider should initiate extended laboratory work-up that includes serum protein electrophoresis, serum immunoglobulin free light chain assay, and serum immunofixation. Heightened awareness within high-risk populations such as Blacks/African Americans may help to eliminate racial disparities in the diagnosis and treatment of multiple myeloma.
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Affiliation(s)
- Joseph Mikhael
- Applied Cancer Research and Drug Discovery Division, Translational Genomics Research Institute (TGen), City of Hope Cancer Center, Phoenix, Ariz; International Myeloma Foundation, Studio City, Calif.
| | - Manisha Bhutani
- Department of Hematologic Oncology and Blood Disorders, Division of Plasma Cell Disorders, Atrium Health/Wake Forest Baptist, Levine Cancer Institute, Charlotte, NC
| | - Craig E Cole
- Department of Medicine, Michigan State University-Karmanos Cancer Institute at McLaren Greater Lansing, Lansing
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13
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Bhutani M, Lonial S, Mikhael J. Disparities in multiple myeloma among African Americans. J Natl Med Assoc 2022; 115:S26-S31. [PMID: 36566137 DOI: 10.1016/j.jnma.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/05/2022] [Indexed: 12/24/2022]
Affiliation(s)
| | - Sagar Lonial
- Translational Genomics Research Institute, Phoenix, AZ 85004
| | - Joseph Mikhael
- Winship Cancer Institute, Emory University, Atlanta, GA.
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14
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Wang Q, Shi Q, Lu J, Wang Z, Hou J. Causal relationships between inflammatory factors and multiple myeloma: A bidirectional Mendelian randomization study. Int J Cancer 2022; 151:1750-1759. [PMID: 35841389 DOI: 10.1002/ijc.34214] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/21/2022] [Accepted: 07/05/2022] [Indexed: 11/07/2022]
Abstract
Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary-level Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein (CRP) and inflammatory regulators with MM. Summary-level data of genetic variants associated with inflammation were extracted from two genome-wide association studies (GWASs) on CRP and human cytokines, while data on MM was from large meta-analyses of GWASs among 372 617 UK Biobank participants. The inverse-variance weighted (IVW) method was used as the primary MR analysis and MR-Egger, weighted median, and MR-pleiotropy residual sum and outlier (MR-PRESSO) were used as the sensitivity analyses. Our results suggested that higher levels of monocyte-specific chemokine-3 (IVW estimate odds ratio [ORIVW ] per SD genetic cytokines change: 1.24; 95% confidence interval [CI]: 1.03-1.49; P = .02), vascular endothelial growth factor (1.14, 1.03-1.27; P = .02), interleukin-10 (1.33, 1.01-1.75; P = .04) and interleukin-7 (1.24, 1.03-1.48; P = .02) were associated with increased risk of MM, while lower levels of tumor necrosis factor-β (0.84, 0.74-0.92; P < .001) was strongly associated with an increased risk of MM. And conversely, genetically predicted MM was related to increased levels of interleukin-17 (IVW estimate β: 0.051, 95% CI: 0.018-0.085; P = 2.7 × 10-3 ). Besides, we observed no such significant associations for other inflammatory factors in our study. Overall, our study provides genetic evidence on the relationships of CRP and systemic inflammatory regulators with MM. Targeted interventions of specific inflammatory factors may have implications to alleviate MM cancer risk.
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Affiliation(s)
- Qiangsheng Wang
- Department of Hematology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Qiqin Shi
- Department of Ophthalmology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jian Hou
- Department of Hematology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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15
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Staron A, Zheng L, Doros G, Sanchorawala V. Differences in the cytogenetic underpinnings of AL amyloidosis among African Americans and Caucasian Americans. Blood Cancer J 2022; 12:100. [PMID: 35787622 PMCID: PMC9253332 DOI: 10.1038/s41408-022-00697-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/13/2022] [Accepted: 06/15/2022] [Indexed: 11/08/2022] Open
Affiliation(s)
- Andrew Staron
- Amyloidosis Center, Boston University School of Medicine, Boston, MA, USA
- Section of Hematology and Medical Oncology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Luke Zheng
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Gheorghe Doros
- Amyloidosis Center, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Vaishali Sanchorawala
- Amyloidosis Center, Boston University School of Medicine, Boston, MA, USA.
- Section of Hematology and Medical Oncology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
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16
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Belachew AA, Wu X, Callender R, Waller R, Orlowski RZ, Vachon CM, Camp NJ, Ziv E, Hildebrandt MAT. Genetic determinants of multiple myeloma risk within the Wnt/beta-catenin signaling pathway. Cancer Epidemiol 2021; 73:101972. [PMID: 34216957 DOI: 10.1016/j.canep.2021.101972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Aberrant Wnt/beta-catenin pathway activation is implicated in Multiple Myeloma (MM) development, but little is known if genetic variants within this pathway contribute to MM susceptibility. METHODS We performed a discovery candidate pathway analysis in 269 non-Hispanic white MM cases and 272 controls focusing on 171 variants selected from 26 core genes within the Wnt/beta-catenin pathway. Significant candidate variants (P < 0.05) were selected for validation in internal and external non-Hispanic white populations totaling 818 cases and 1209 controls. We also examined significant variants in non-Hispanic black and Hispanic case/control study populations to identify potential differences by race/ethnicity. Possible biological functions of candidate variants were predicted in silico. RESULTS Seven variants were significantly associated with MM risk in non-Hispanic whites in the discovery population, of which LRP6:rs7966410 (OR: 0.57; 95 % CI: 0.38-0.88; P = 9.90 × 10-3) and LRP6:rs7956971 (OR: 0.64; 95 % CI: 0.44-0.95; P = 0.027) remained significant in the internal and external populations. CSNK1D:rs9901910 replicated among all three racial/ethnic groups, with 2-6 fold increased risk of MM (OR: 2.40; 95 % CI: 1.67-3.45; P = 2.43 × 10-6 - non-Hispanic white; OR: 6.42; 95 % CI: 2.47-16.7; P = 3.14 × 10-4 - non-Hispanic black; OR: 4.31; 95 % CI: 1.83-10.1; P = 8.10 × 10-4 - Hispanic). BTRC:rs7916830 was associated with a significant 37 % and 24 % reduced risk of MM in the non-Hispanic white (95 % CI: 0.49-0.82; P = 5.60 × 10-4) and non-Hispanic Black (95 % CI: 0.60-0.97; P = 0.028) population, respectively. In silico tools predicted that these loci altered function through via gene regulation. CONCLUSION We identified several variants within the Wnt/beta-catenin pathway associated with MM susceptibility. Findings of this study highlight the potential genetic role of Wnt/beta-catenin signaling in MM etiology among a diverse patient population.
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Affiliation(s)
- Alem A Belachew
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rashida Callender
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rosalie Waller
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55902, United States
| | - Nicola J Camp
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Elad Ziv
- Department of Medicine, Division of General Internal Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, 94143, United States
| | - Michelle A T Hildebrandt
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
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17
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Clemmensen SB, Harris JR, Mengel-From J, Bonat WH, Frederiksen H, Kaprio J, Hjelmborg JVB. Familial Risk and Heritability of Hematologic Malignancies in the Nordic Twin Study of Cancer. Cancers (Basel) 2021; 13:cancers13123023. [PMID: 34208754 PMCID: PMC8234145 DOI: 10.3390/cancers13123023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/11/2021] [Accepted: 06/11/2021] [Indexed: 01/04/2023] Open
Abstract
Simple Summary Hematologic malignancies account for 8–9% of all incident cancers. Both genetic and environmental risk factors contribute to cancer development, but it is unclear if there is shared heritability between hematologic malignancies. This study aimed to investigate familial predisposition to hematologic malignancies using the largest twin study of cancer in the world. We compared individual risk in the general population and the risk of cancer in one twin before some age given that the other twin had (another) cancer before that age. Furthermore, by analyzing information about whether the twins were identical or fraternal, we could estimate the relative importance of genetic and environmental influences on the risk for developing hematologic cancers. This study confirmed previous findings of familial predisposition to hematologic malignancies and provides novel evidence that familial predisposition decreases with increasing age. The latter points to the importance of taking age into account in the surveillance of hematological cancers. Abstract We aimed to explore the genetic and environmental contributions to variation in the risk of hematologic malignancies and characterize familial dependence within and across hematologic malignancies. The study base included 316,397 individual twins from the Nordic Twin Study of Cancer with a median of 41 years of follow-up: 88,618 (28%) of the twins were monozygotic, and 3459 hematologic malignancies were reported. We estimated the cumulative incidence by age, familial risk, and genetic and environmental variance components of hematologic malignancies accounting for competing risk of death. The lifetime risk of any hematologic malignancy was 2.5% (95% CI 2.4–2.6%), as in the background population. This risk was elevated to 4.5% (95% CI 3.1–6.5%) conditional on hematologic malignancy in a dizygotic co-twin and was even greater at 7.6% (95% CI 4.8–11.8%) if a monozygotic co-twin had a hematologic malignancy. Heritability of the liability to develop any hematologic malignancy was 24% (95% CI 14–33%). This estimate decreased across age, from approximately 55% at age 40 to about 20–25% after age 55, when it seems to stabilize. In this largest ever studied twin cohort with the longest follow-up, we found evidence for familial risk of hematologic malignancies. The discovery of decreasing familial predisposition with increasing age underscores the importance of cancer surveillance in families with hematological malignancies.
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Affiliation(s)
- Signe B. Clemmensen
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark; (J.M.-F.); (J.v.B.H.)
- Danish Twin Registry, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
- Correspondence:
| | - Jennifer R. Harris
- Division of Health Data and Digitalisation, Norwegian Institute of Public Health, 0213 Oslo, Norway;
| | - Jonas Mengel-From
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark; (J.M.-F.); (J.v.B.H.)
- Danish Twin Registry, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000 Odense C, Denmark
| | - Wagner H. Bonat
- Department of Statistics, Paraná Federal University, Curitiba 81531-980, Brazil;
| | - Henrik Frederiksen
- Department of Haematology, Odense University Hospital, 5000 Odense C, Denmark;
- Department of Clinical Research, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
| | - Jaakko Kaprio
- Department of Public Health and Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland;
| | - Jacob v. B. Hjelmborg
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark; (J.M.-F.); (J.v.B.H.)
- Danish Twin Registry, Institute of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
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18
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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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19
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Griffin Waller R, Madsen MJ, Gardner J, Sborov DW, Camp NJ. Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees. JOURNAL OF TRANSLATIONAL GENETICS AND GENOMICS 2021; 5:112-123. [PMID: 34888494 PMCID: PMC8654160 DOI: 10.20517/jtgg.2021.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIM High-risk pedigrees (HRPs) are a powerful design to map highly penetrant risk genes. We previously described Shared Genomic Segment (SGS) analysis, a mapping method for single large extended pedigrees that also addresses genetic heterogeneity inherent in complex diseases. SGS identifies shared segregating chromosomal regions that may inherit in only a subset of cases. However, single large pedigrees that are individually powerful (at least 15 meioses between studied cases) are scarce. Here, we expand the SGS strategy to incorporate evidence from two extended HRPs by identifying the same segregating risk locus in both pedigrees and allowing for some relaxation in the size of each HRP. METHODS Duo-SGS is a procedure to combine single-pedigree SGS evidence. It implements statistically rigorous duo-pedigree thresholding to determine genome-wide significance levels that account for optimization across pedigree pairs. Single-pedigree SGS identifies optimal segments shared by case subsets at each locus across the genome, with nominal significance assessed empirically. Duo-SGS combines the statistical evidence for SGS segments at the same genomic location in two pedigrees using Fisher's method. One pedigree is paired with all others and the best duo-SGS evidence at each locus across the genome is established. Genome-wide significance thresholds are determined through distribution-fitting and the Theory of Large Deviations. We applied the duoSGS strategy to eleven extended, myeloma HRPs. RESULTS We identified one genome-wide significant region at 18q21.33 (0.85 Mb, P = 7.3 × 10-9) which contains one gene, CDH20. Thirteen regions were genome-wide suggestive: 1q42.2, 2p16.1, 3p25.2, 5q21.3, 5q31.1, 6q16.1, 6q26, 7q11.23, 12q24.31, 13q13.3, 18p11.22, 18q22.3 and 19p13.12. CONCLUSION Our results provide novel risk loci with segregating evidence from multiple HRPs and offer compelling targets and specific segment carriers to focus a future search for functional variants involved in inherited risk formyeloma.
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Affiliation(s)
- Rosalie Griffin Waller
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
- Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | - John Gardner
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Douglas W. Sborov
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Nicola J. Camp
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
- University of Utah School of Medicine, Salt Lake City, UT 84112, USA
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20
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Mirzaei H, Bagheri H, Ghasemi F, Khoi JM, Pourhanifeh MH, Heyden YV, Mortezapour E, Nikdasti A, Jeandet P, Khan H, Sahebkar A. Anti-Cancer Activity of Curcumin on Multiple Myeloma. Anticancer Agents Med Chem 2021; 21:575-586. [PMID: 32951583 DOI: 10.2174/1871520620666200918113625] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/26/2020] [Accepted: 06/30/2020] [Indexed: 12/24/2022]
Abstract
Multiple Myeloma (MM) is the third most common and deadly hematological malignancy, which is characterized by a progressive monoclonal proliferation within the bone marrow. MM is cytogenetically heterogeneous with numerous genetic and epigenetic alterations, which lead to a wide spectrum of signaling pathways and cell cycle checkpoint aberrations. MM symptoms can be attributed to CRAB features (hyperCalcemia, Renal failure, Anemia, and Bone lesion), which profoundly affect both the Health-Related Quality of Life (HRQoL) and the life expectancy of patients. Despite all enhancement and improvement in therapeutic strategies, MM is almost incurable, and patients suffering from this disease eventually relapse. Curcumin is an active and non-toxic phenolic compound, isolated from the rhizome of Curcuma longa L. It has been widely studied and has a confirmed broad range of therapeutic properties, especially anti-cancer activity, and others, including anti-proliferation, anti-angiogenesis, antioxidant and anti-mutation activities. Curcumin induces apoptosis in cancerous cells and prevents Multidrug Resistance (MDR). Growing evidence concerning the therapeutic properties of curcumin caused a pharmacological impact on MM. It is confirmed that curcumin interferes with various signaling pathways and cell cycle checkpoints, and with oncogenes. In this paper, we summarized the anti- MM effects of curcumin.
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Affiliation(s)
- Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Hossein Bagheri
- Molecular and Medicine Research Center, Department of Biotechnology, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Faezeh Ghasemi
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Next to Milad Tower, Tehran, Iran
| | | | | | - Yvan V Heyden
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Erfan Mortezapour
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Ali Nikdasti
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Philippe Jeandet
- Research Unit, Induced Resistance and Plant Bioprotection, EA 4707, SFR Condorcet FR CNRS 3417, Faculty of Sciences, University of Reims Champagne-Ardenne, PO Box 1039, 51687 Reims Cedex 2, France
| | - Haroon Khan
- Department of Pharmacy, Abdul Wali Khan University Mardan, 23200, Pakistan
| | - Amirhossein Sahebkar
- Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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21
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Schmidt T, Callander N. Diagnosis and Management of Monoclonal Gammopathy and Smoldering Multiple Myeloma. J Natl Compr Canc Netw 2020; 18:1720-1729. [PMID: 33347744 DOI: 10.6004/jnccn.2020.7660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The presence of monoclonal proteins is common, with a prevalence in the United States around 5% that increases with age. Although most patients are asymptomatic, most cases are caused by a clonal plasma cell disorder. Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are asymptomatic precursor conditions with variable risk of progression to multiple myeloma. In recent years, significant progress has been made to better understand the factors that lead to the development of symptoms and progression to myeloma. This review summarizes the current diagnosis treatment guidelines for MGUS and SMM and highlights recent advances that underscore a shifting paradigm in the evaluation and management of plasma cell precursor conditions.
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Affiliation(s)
- Timothy Schmidt
- Winship Cancer Institute, Emory University, Atlanta, Georgia
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22
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Nassar S, Taher A, Spear R, Wang F, Madewell JE, Mujtaba B. Multiple Myeloma: Role of Imaging in Diagnosis, Staging, and Treatment Response Assessment. Semin Ultrasound CT MR 2020; 42:184-193. [PMID: 33814104 DOI: 10.1053/j.sult.2020.08.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Multiple myeloma is a common hematologic malignancy of plasma cells. Differentiating multiple myeloma from the precursor stages of monoclonal gammopathy of undetermined significance and smoldering multiple myeloma is very important because the treatment approach is different for each. The diagnosis is mainly clinical, while the role of imaging is confined to the staging process, assessing response to therapy, and monitoring for disease progression. In this article, we examine the role of different imaging modalities in patients with multiple myeloma.
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Affiliation(s)
- Sameh Nassar
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ahmed Taher
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Rosario Spear
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - John E Madewell
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bilal Mujtaba
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
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23
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Pierre A, Williams TH. African American Patients With Multiple Myeloma: Optimizing Care to Decrease Racial Disparities. Clin J Oncol Nurs 2020; 24:439-443. [PMID: 32678364 DOI: 10.1188/20.cjon.439-443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The incidence of multiple myeloma in African Americans is two to three times higher than in other ethnicities and is the leading hematologic malignancy in African Americans. Despite the high incidence of multiple myeloma in African American individuals, a vast majority experience delays in diagnosis and reduced usage of effective therapies, including stem cell transplantation, as well as low participation in clinical trials. Racial disparities, social and financial health disparities, and barriers to earlier access to care can lead to poorer patient outcomes. There are also unique characteristics in the disease manifestation in African Americans with multiple myeloma that are imperative for oncology nurses to understand and recognize to provide optimal care.
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24
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Ludwig H, Novis Durie S, Meckl A, Hinke A, Durie B. Multiple Myeloma Incidence and Mortality Around the Globe; Interrelations Between Health Access and Quality, Economic Resources, and Patient Empowerment. Oncologist 2020; 25:e1406-e1413. [PMID: 32335971 PMCID: PMC7485361 DOI: 10.1634/theoncologist.2020-0141] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/01/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The interrelation between the worldwide incidence, mortality, and survival of patients with multiple myeloma (MM) and relevant factors such as Health Care Access and Quality (HAQ) index, gross domestic product (GDP), health care expenditures, access to cancer drugs, and patient empowerment has not been addressed before. MATERIAL AND METHODS Epidemiologic data were obtained from the International Agency for Research on Cancer. The mortality-to-incidence ratio (expressed as 1-MIR) was used as proxy for 5-year survival. Information on health expenditure was obtained from Bloomberg Health-Care Efficacy ranking, the HAQ Index was used as a measure of available health care. For patient empowerment, visits to the Web site of the International Myeloma Foundation were used as proxy. Data on GDP and population per country were assessed from the International Monetary Fund and the United Nations Population Division, respectively. Possible associations were analyzed using Spearman's rank-order correlation. RESULTS The worldwide incidence of MM is currently 160,000, and mortality is 106,000. Age-standardized myeloma incidence varies between 0.54 and 5.3 per 100,000 and correlates with 1-MIR, patient empowerment, HAQ Index, and access to cancer drugs. The 1-MIR varies between 9% and 64% and is closely related to myeloma incidence, HAQ Index, patient empowerment, access to cancer drugs, and health care expenditures. CONCLUSION The global incidence and outcome of MM shows significant disparities, indicating under-recognition and suboptimal treatment in many parts of the globe. Results also highlight the importance of economic resources, access to and quality of health care, and patient education for improving diagnosis and survival of patients with MM. IMPLICATIONS FOR PRACTICE Multiple myeloma accounts for 10% of all hematological malignancies and has moved to the forefront of clinical interest because of the significant advances in medical treatment. Diagnosis depends on laboratory tests, imaging, and professional expertise, particularly in patients without a significant M-component. The present data show a substantial worldwide variation in incidence and mortality, that is mainly due (apart from variations due to ethnicity and lifestyle) to disparities in access to and quality of health care, a parameter strongly related to the economic development of individual countries. Improvement of quality of care and, consequently, in outcome is associated with patient empowerment.
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Affiliation(s)
- Heinz Ludwig
- Wilhelminen Cancer Research InstituteViennaAustria
| | | | - Angela Meckl
- Wilhelminen Cancer Research InstituteViennaAustria
| | - Axel Hinke
- CCRC Cancer Clinical Research ConsultingDüsseldorfGermany
| | - Brian Durie
- International Myeloma FoundationLos AngelesCaliforniaUSA
- Cedars‐Sinai Medical CenterLos AngelesCaliforniaUSA
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25
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Baughn LB, Li Z, Pearce K, Vachon CM, Polley MY, Keats J, Elhaik E, Baird M, Therneau T, Cerhan JR, Bergsagel PL, Dispenzieri A, Rajkumar SV, Asmann YW, Kumar S. The CCND1 c.870G risk allele is enriched in individuals of African ancestry with plasma cell dyscrasias. Blood Cancer J 2020; 10:39. [PMID: 32179748 PMCID: PMC7075993 DOI: 10.1038/s41408-020-0294-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 02/07/2020] [Accepted: 02/17/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Linda B Baughn
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Zhuo Li
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Kathryn Pearce
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Celine M Vachon
- 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
| | - Jonathan Keats
- Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Eran Elhaik
- Department of Biology, Lund University, Lund, Sweden
| | | | - 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
| | - 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
| | - S Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Yan W Asmann
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Shaji Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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26
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Marinac CR, Ghobrial IM, Birmann BM, Soiffer J, Rebbeck TR. Dissecting racial disparities in multiple myeloma. Blood Cancer J 2020; 10:19. [PMID: 32066732 PMCID: PMC7026439 DOI: 10.1038/s41408-020-0284-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 07/17/2019] [Accepted: 08/01/2019] [Indexed: 01/12/2023] Open
Abstract
Multiple myeloma (MM) is a fatal plasma cell dyscrasia with a median overall survival of 5 to 10 years. MM progresses from the more common but often subclinical precursor states of monoclonal gammopathy of undetermined significance (MGUS), and smoldering multiple myeloma (SMM) to overt MM. There are large racial disparities in all stages of the disease. Compared with Whites, Blacks have an increased MGUS and MM risk and higher mortality rate, and have not experienced the same survival gains over time. The roots of this disparity are likely multifactorial in nature. Comparisons of Black and White MGUS and MM patients suggest that differences in risk factors, biology, and clinical characteristics exist by race or ancestry, which may explain some of the observed disparity in MM. However, poor accrual of Black MGUS and MM patients in clinical and epidemiological studies has limited our understanding of this disparity and hindered its elimination. Disparities in MM survival also exist but appear to stem from inferior treatment utilization and access rather than underlying pathogenesis. Innovative and multidisciplinary approaches are urgently needed to enhance our understanding of disparities that exist at each stage of the MM disease continuum and facilitate their elimination.
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Affiliation(s)
- Catherine R Marinac
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,The Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA.,The Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Jenny Soiffer
- University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Timothy R Rebbeck
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
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27
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Voropaeva EN, Cherdyntseva NV, Voevoda MI, Pospelova TI, Maximov VN, Orlov YL, Ageeva TA. Triple Haplotypes of the TP53 Gene in Patients with Diffuse Small B-Cell Lymphoma. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795419120123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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28
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Du Z, Weinhold N, Song GC, Rand KA, Van Den Berg DJ, Hwang AE, Sheng X, Hom V, Ailawadhi S, Nooka AK, Singhal S, Pawlish K, Peters ES, Bock C, Mohrbacher A, Stram A, Berndt SI, Blot WJ, Casey G, Stevens VL, Kittles R, Goodman PJ, Diver WR, Hennis A, Nemesure B, Klein EA, Rybicki BA, Stanford JL, Witte JS, Signorello L, John EM, Bernstein L, Stroup AM, Stephens OW, Zangari M, Van Rhee F, Olshan A, Zheng W, Hu JJ, Ziegler R, Nyante SJ, Ingles SA, Press MF, Carpten JD, Chanock SJ, Mehta J, Colditz GA, Wolf J, Martin TG, Tomasson M, Fiala MA, Terebelo H, Janakiraman N, Kolonel L, Anderson KC, Le Marchand L, Auclair D, Chiu BCH, Ziv E, Stram D, Vij R, Bernal-Mizrachi L, Morgan GJ, Zonder JA, Huff CA, Lonial S, Orlowski RZ, Conti DV, Haiman CA, Cozen W. A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry. Blood Adv 2020; 4:181-190. [PMID: 31935283 PMCID: PMC6960456 DOI: 10.1182/bloodadvances.2019000491] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/07/2019] [Indexed: 02/07/2023] Open
Abstract
Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P < 1 × 10-6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P < .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10-12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.
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Affiliation(s)
- Zhaohui Du
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Niels Weinhold
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Gregory Chi Song
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Kristin A Rand
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - David J Van Den Berg
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Victor Hom
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | | | - Ajay K Nooka
- Winship Cancer Institute, Department of Hematology and Medical Oncology, Emory University, Atlanta, GA
| | - Seema Singhal
- Division of Hematology-Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Karen Pawlish
- Cancer Epidemiology Services, Epidemiology, Environmental and Occupational Health Division, New Jersey Department of Health, Trenton, NJ
| | - Edward S Peters
- Department of Epidemiology, Louisiana State University School of Public Health, New Orleans, LA
| | - Cathryn Bock
- Karmanos Cancer Center, Wayne State University, Detroit, MI
| | - Ann Mohrbacher
- Division of Hematology, Department of Medicine, University of Southern California, Los Angeles, CA
| | - Alexander Stram
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Sonja I Berndt
- Division of Cancer Genetics and Epidemiology, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA
| | | | - Rick Kittles
- City of Hope National Medical Center, Duarte, CA
| | | | | | - Anselm Hennis
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY
| | - Barbara Nemesure
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY
| | | | | | | | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Lisa Signorello
- Division of Cancer Genetics and Epidemiology, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Esther M John
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | | | - Antoinette M Stroup
- Cancer Epidemiology Services, Epidemiology, Environmental and Occupational Health Division, New Jersey Department of Health, Trenton, NJ
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers University, New Brunswick, NJ
| | - Owen W Stephens
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Frits Van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Andrew Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer J Hu
- Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL
| | - Regina Ziegler
- Division of Cancer Genetics and Epidemiology, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Sarah J Nyante
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sue Ann Ingles
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Michael F Press
- Department of Pathology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - John David Carpten
- Center for Translational Genomics, Department of Translational Genomics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Stephen J Chanock
- Division of Cancer Genetics and Epidemiology, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Jayesh Mehta
- Division of Hematology-Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Graham A Colditz
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | - Jeffrey Wolf
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Thomas G Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Michael Tomasson
- Division of Hematology, Oncology and Bone Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA
| | - Mark A Fiala
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | | | | | | | - Kenneth C Anderson
- J. Lipper Cancer Center for Multiple Myeloma, Dana-Farber Cancer Institute, Harvard University, Boston, MA
| | | | | | - Brian C-H Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Elad Ziv
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Ravi Vij
- Division of Oncology, Washington University School of Medicine, Saint Louis, MO
| | | | - Gareth J Morgan
- Myeloma Center, Perlmutter Cancer Center, New York University, New York, NY
| | | | - Carol Ann Huff
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD; and
| | - Sagar Lonial
- Winship Cancer Institute, Department of Hematology and Medical Oncology, Emory University, Atlanta, GA
| | - Robert Z Orlowski
- Department of Lymphoma and Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX
| | - David V Conti
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
| | - Wendy Cozen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
- Department of Pathology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA
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29
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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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30
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Heparanase promotes myeloma stemness and in vivo tumorigenesis. Matrix Biol 2019; 88:53-68. [PMID: 31812535 DOI: 10.1016/j.matbio.2019.11.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/14/2019] [Accepted: 11/14/2019] [Indexed: 12/11/2022]
Abstract
Heparanase is known to enhance the progression of many cancer types and is associated with poor patient prognosis. We recently reported that after patients with multiple myeloma were treated with high dose chemotherapy, the tumor cells that emerged upon relapse expressed a much higher level of heparanase than was present prior to therapy. Because tumor cells having stemness properties are thought to seed tumor relapse, we investigated whether heparanase had a role in promoting myeloma stemness. When plated at low density and grown in serum-free conditions that support survival and expansion of stem-like cells, myeloma cells expressing a low level of heparanase formed tumor spheroids poorly. In contrast, cells expressing a high level of heparanase formed significantly more and larger spheroids than did the heparanase low cells. Importantly, heparanase-low expressing cells exhibited plasticity and were induced to exhibit stemness properties when exposed to recombinant heparanase or to exosomes that contained a high level of heparanase cargo. The spheroid-forming heparanase-high cells had elevated expression of GLI1, SOX2 and ALDH1A1, three genes known to be associated with myeloma stemness. Inhibitors that block the heparan sulfate degrading activity of heparanase significantly diminished spheroid formation and expression of stemness genes implying a direct role of the enzyme in regulating stemness. Blocking the NF-κB pathway inhibited spheroid formation and expression of stemness genes demonstrating a role for NF-κB in heparanase-mediated stemness. Myeloma cells made deficient in heparanase exhibited decreased stemness properties in vitro and when injected into mice they formed tumors poorly compared to the robust tumorigenic capacity of cells expressing higher levels of heparanase. These studies reveal for the first time a role for heparanase in promoting cancer stemness and provide new insight into its function in driving tumor progression and its association with poor prognosis in cancer patients.
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31
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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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32
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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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33
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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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34
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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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