Global Burden of Multiple Myeloma: A Systematic Analysis for the Global Burden of Disease Study 2016

Andrew J Cowan, Christine Allen, Aleksandra Barac, Huda Basaleem, Isabela Bensenor, Maria Paula Curado, Kyle Foreman, Rahul Gupta, James Harvey, H Dean Hosgood, Mihajlo Jakovljevic, Yousef Khader, Shai Linn, Deepesh Lad, Lorenzo Mantovani, Vuong Minh Nong, Ali Mokdad, Mohsen Naghavi, Maarten Postma, Gholamreza Roshandel, Katya Shackelford, Mekonnen Sisay, Cuong Tat Nguyen, Tung Thanh Tran, Bach Tran Xuan, Kingsley Nnanna Ukwaja, Stein Emil Vollset, Elisabete Weiderpass, Edward N Libby, Christina Fitzmaurice, Andrew J Cowan, Christine Allen, Aleksandra Barac, Huda Basaleem, Isabela Bensenor, Maria Paula Curado, Kyle Foreman, Rahul Gupta, James Harvey, H Dean Hosgood, Mihajlo Jakovljevic, Yousef Khader, Shai Linn, Deepesh Lad, Lorenzo Mantovani, Vuong Minh Nong, Ali Mokdad, Mohsen Naghavi, Maarten Postma, Gholamreza Roshandel, Katya Shackelford, Mekonnen Sisay, Cuong Tat Nguyen, Tung Thanh Tran, Bach Tran Xuan, Kingsley Nnanna Ukwaja, Stein Emil Vollset, Elisabete Weiderpass, Edward N Libby, Christina Fitzmaurice

Abstract

Introduction: Multiple myeloma (MM) is a plasma cell neoplasm with substantial morbidity and mortality. A comprehensive description of the global burden of MM is needed to help direct health policy, resource allocation, research, and patient care.

Objective: To describe the burden of MM and the availability of effective therapies for 21 world regions and 195 countries and territories from 1990 to 2016.

Design and setting: We report incidence, mortality, and disability-adjusted life-year (DALY) estimates from the Global Burden of Disease 2016 study. Data sources include vital registration system, cancer registry, drug availability, and survey data for stem cell transplant rates. We analyzed the contribution of aging, population growth, and changes in incidence rates to the overall change in incident cases from 1990 to 2016 globally, by sociodemographic index (SDI) and by region. We collected data on approval of lenalidomide and bortezomib worldwide.

Main outcomes and measures: Multiple myeloma mortality; incidence; years lived with disabilities; years of life lost; and DALYs by age, sex, country, and year.

Results: Worldwide in 2016 there were 138 509 (95% uncertainty interval [UI], 121 000-155 480) incident cases of MM with an age-standardized incidence rate (ASIR) of 2.1 per 100 000 persons (95% UI, 1.8-2.3). Incident cases from 1990 to 2016 increased by 126% globally and by 106% to 192% for all SDI quintiles. The 3 world regions with the highest ASIR of MM were Australasia, North America, and Western Europe. Multiple myeloma caused 2.1 million (95% UI, 1.9-2.3 million) DALYs globally in 2016. Stem cell transplantation is routinely available in higher-income countries but is lacking in sub-Saharan Africa and parts of the Middle East. In 2016, lenalidomide and bortezomib had been approved in 73 and 103 countries, respectively.

Conclusions and relevance: Incidence of MM is highly variable among countries but has increased uniformly since 1990, with the largest increase in middle and low-middle SDI countries. Access to effective care is very limited in many countries of low socioeconomic development, particularly in sub-Saharan Africa. Global health policy priorities for MM are to improve diagnostic and treatment capacity in low and middle income countries and to ensure affordability of effective medications for every patient. Research priorities are to elucidate underlying etiological factors explaining the heterogeneity in myeloma incidence.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Cowan has received research funding from Janssen and Abbvie. No other disclaimers are reported.

Figures

Figure 1.. Age-Standardized Incidence Rate of Multiple…
Figure 1.. Age-Standardized Incidence Rate of Multiple Myeloma
Age-standardized incidence rate of multiple myeloma, both sexes, 2016. ATG indicates Antigua and Barbuda; BRB, Barbados; COM, Comoros; DMA, Dominica; FJI, Fiji; FSM, Federated States of Micronesia; GRD, Grenada; KIR, Kiribati; LCA, Saint Lucia; MDV, Maldives; MHL, Marshall Islands; MLT, Malta; MUS, Mauritius; TLS, Timor-Leste; TON, Tonga; TTO, Trinidad and Tobago; SGP, Singapore; SLB, Solomon Islands; SYC, Seychelles; VCT, Saint Vincent and the Grenadines; VUT, Vanuatu; and WSM, Samo (Formerly Western Samoa).
Figure 2.. Stem-Cell Transplant Rate per 10…
Figure 2.. Stem-Cell Transplant Rate per 10 Million, 2010
Frequency of transplantation per 10 million people, both allogeneic and autologous transplant in 2010 as reported by Gratwohl et al. ATG indicates Antigua and Barbuda; BRB, Barbados; COM, Comoros; DMA, Dominica; FJI, Fiji; FSM, Federated States of Micronesia; GRD, Grenada; KIR, Kiribati; LCA, Saint Lucia; MDV, Maldives; MHL, Marshall Islands; MLT, Malta; MUS, Mauritius; TLS, Timor-Leste; TON, Tonga; TTO, Trinidad and Tobago; SGP, Singapore; SLB, Solomon Islands; SYC, Seychelles; VCT, Saint Vincent and the Grenadines; VUT, Vanuatu; and WSM, Samo (Formerly Western Samoa).
Figure 3.. Lenalidomide and Bortezomib Approval, 2016
Figure 3.. Lenalidomide and Bortezomib Approval, 2016
ATG indicates Antigua and Barbuda; BRB, Barbados; COM, Comoros; DMA, Dominica; FJI, Fiji; FSM, Federated States of Micronesia; GRD, Grenada; KIR, Kiribati; LCA, Saint Lucia; MDV, Maldives; MHL, Marshall Islands; MLT, Malta; MUS, Mauritius; TLS, Timor-Leste; TON, Tonga; TTO, Trinidad and Tobago; SGP, Singapore; SLB, Solomon Islands; SYC, Seychelles; VCT, Saint Vincent and the Grenadines; VUT, Vanuatu; and WSM, Samo (Formerly Western Samoa).

References

    1. Kazandjian D, Landgren O. A look backward and forward in the regulatory and treatment history of multiple myeloma: approval of novel-novel agents, new drug development, and longer patient survival. Semin Oncol. 2016;43(6):682-689.
    1. Raju GK, Gurumurthi K, Domike R, et al. . A benefit-risk analysis approach to capture regulatory decision-making: multiple myeloma. Clin Pharmacol Ther. 2018;103(1):67-76.
    1. Fleming KA, Naidoo M, Wilson M, et al. . An essential pathology package for low- and middle-income countries. Am J Clin Pathol. 2017;147(1):15-32.
    1. Tan D, Chng WJ, Chou T, et al. . Management of multiple myeloma in Asia: resource-stratified guidelines. Lancet Oncol. 2013;14(12):e571-e581..
    1. Attal M, Lauwers-Cances V, Hulin C, et al. ; IFM 2009 Study . Lenalidomide, bortezomib, and dexamethasone with transplantation for myeloma. N Engl J Med. 2017;376(14):1311-1320.
    1. McCarthy PL, Holstein SA, Petrucci MT, et al. . Lenalidomide maintenance after autologous stem-cell transplantation in newly diagnosed multiple myeloma: a meta-analysis. J Clin Oncol. 2017;35(29):3279-3289.
    1. Rajkumar SV. Multiple myeloma: 2016 update on diagnosis, risk-stratification, and management. Am J Hematol. 2016;91(7):719-734.
    1. Omoti CE, Omuemu CE. Multiple myeloma: a ten-year study of survival and therapy in a developing nation. J Pak Med Assoc. 2007;57(7):341-344.
    1. Nwabuko OC, Igbigbi EE, Chukwuonye II, Nnoli MA. Multiple myeloma in Niger Delta, Nigeria: complications and the outcome of palliative interventions. Cancer Manag Res. 2017;9:189-196.
    1. GBD 2016 Causes of Death Collaborators Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1151-1210.
    1. GBD 2016 DALYs and HALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1260-1344.
    1. Fonseca R, Abouzaid S, Bonafede M, et al. . Trends in overall survival and costs of multiple myeloma, 2000-2014. Leukemia. 2017;31(9):1915-1921.
    1. Disease GBD, Injury I, Prevalence C; GBD 2016 Disease and Injury Incidence and Prevalence Collaborators . Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1211-1259.
    1. Foreman KJ, Lozano R, Lopez AD, Murray CJ. Modeling causes of death: an integrated approach using CODEm. Popul Health Metr. 2012;10:1.
    1. Neal RD, Din NU, Hamilton W, et al. . Comparison of cancer diagnostic intervals before and after implementation of NICE guidelines: analysis of data from the UK General Practice Research Database. Br J Cancer. 2014;110(3):584-592.
    1. SEER*Stat Database: Incidence. SEER 18 Regs Research Data + Hurricane Katrina Impacted Louisiana Cases, November 2012 Sub (1973-2010 Varying). Linked To County Attributes. Total U.S., 1969-2011 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch. Released April 2013, based on the November 2012 submission [Internet]. . Accessed January 1, 2018.
    1. GBD 2013 Mortality and Causes of Death Collaborators Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117-171.
    1. Australian Public Assessment Report for Lenalidomide, 2016, Therapeutic Goods Administration, used by permission of the Australian Government. . Accessed May 8, 2018.
    1. Gratwohl A, Pasquini MC, Aljurf M, et al. ; Worldwide Network for Blood and Marrow Transplantation (WBMT) . One million haemopoietic stem-cell transplants: a retrospective observational study. Lancet Haematol. 2015;2(3):e91-e100.
    1. Ferlay J, Soerjomataram I, Dikshit R, et al. . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359-E386.
    1. Miranda-Filho A, Piñeros M, Ferlay J, Soerjomataram I, Monnereau A, Bray F. Epidemiological patterns of leukaemia in 184 countries: a population-based study. Lancet Haematol. 2018;5(1):e14-e24.
    1. Perrotta C, Staines A, Codd M, et al. . Multiple Myeloma and lifetime occupation: results from the EPILYMPH study. J Occup Med Toxicol. 2012;7(1):25.
    1. Wei X, Calvo-Vidal MN, Chen S, et al. . Germline mutations in lysine specific demethylase 1 (LSD1/KDM1A) confer susceptibility to multiple myeloma. [published online March 20, 2018]. Cancer Res. 2018;canres.1900.2017.
    1. Konstantinopoulos PA, Pantanowitz L, Dezube BJ. Higher prevalence of monoclonal gammopathy of undetermined significance in African Americans than whites: the unknown role of underlying HIV infection. J Natl Med Assoc. 2006;98(11):1860-1861.
    1. Landgren O, Gridley G, Turesson I, et al. . Risk of monoclonal gammopathy of undetermined significance (MGUS) and subsequent multiple myeloma among African American and white veterans in the United States. Blood. 2006;107(3):904-906.
    1. Fitzmaurice C, Dicker D, Pain A, et al. ; Global Burden of Disease Cancer Collaboration . The global burden of cancer 2013. JAMA Oncol. 2015;1(4):505-527.
    1. Howlader NNA, Krapcho M, Miller D, et al. In: Cronin KA, ed. SEER Cancer Statistics Review, 1975-2014, National Cancer Institute. Bethesda, MD. . Based on November 2016 SEER data submission, posted to the SEER web site. Accessed January 1, 2018.
    1. Goldstein DA, Clark J, Tu Y, et al. . A global comparison of the cost of patented cancer drugs in relation to global differences in wealth. Oncotarget. 2017;8(42):71548-71555.
    1. United Nations. Sustainable Development Goals. . Accessed April 7, 2018.
    1. McNeil DG., Jr As cancer tears through Africa, drug makers draw up a battle plan. The New York Times . Accessed April 9, 2018.

Source: PubMed

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