International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM)

被引:172
作者
Mateos, Maria-Victoria [1 ]
Kumar, Shaji [2 ]
Dimopoulos, Meletios A. [3 ]
Gonzalez-Calle, Veronica [1 ]
Kastritis, Efstathios [3 ]
Hajek, Roman [4 ,5 ]
Fernandez De Larrea, Carlos [6 ]
Morgan, Gareth J. [7 ]
Merlini, Giampaolo [8 ]
Goldschmidt, Hartmut [9 ,10 ]
Geraldes, Catarina [11 ]
Gozzetti, Alessandro [12 ]
Kyriakou, Charalampia [13 ]
Garderet, Laurent [14 ]
Hansson, Markus [15 ]
Zamagni, Elena [16 ]
Fantl, Dorotea [17 ]
Leleu, Xavier [18 ]
Kim, Byung-Su [19 ]
Esteves, Graca [20 ]
Ludwig, Heinz [21 ]
Usmani, Saad [22 ]
Min, Chang-Ki [23 ]
Qi, Ming [24 ]
Ukropec, Jon [24 ]
Weiss, Brendan M. [24 ]
Rajkumar, S. Vincent [2 ]
Durie, Brian G. M. [25 ]
San-Miguel, Jesus [26 ]
机构
[1] Univ Salamanca, CSIC, Inst Biol Mol & Cellular Canc, Ctr Invest Canc,Serv Hematol,Hosp Univ Salamanca, Salamanca, Spain
[2] Mayo Clin, Div Hematol, Rochester, MN 55905 USA
[3] Natl & Kapodistrian Univ Athens, Sch Med, Dept Clin Therapeut, Hematol & Med Oncol, Athens, Greece
[4] Ostrava Univ, Fac Med, Ostrava, Czech Republic
[5] Ostrava Univ, Univ Hosp Ostrava, Dept Hematooncol, Ostrava, Czech Republic
[6] Univ Barcelona, Hosp Clin, Dept Hematol, Amyloidosis & Myeloma Unit,IDIBAPS, Barcelona, Spain
[7] NY Langone Hlth, Perlmutter Canc Ctr, New York, NY USA
[8] Univ Pavia, Policlin San Matteo, Fdn Ist Ricovero & Cura Carattere Sci IRCCS, Dept Mol Med,Amyloidosis Res & Treatment Ctr, Pavia, Italy
[9] Univ Med Hosp, Dept Internal Med 5, Heidelberg, Germany
[10] Natl Ctr Tumor Dis, Dept Internal Med 5, Heidelberg, Germany
[11] Ctr Hosp & Univ Coimbra, Dept Clin Hematol, Coimbra, Portugal
[12] Univ Siena, Dept Med Surg & Neurosci, Siena, Italy
[13] London North West Healthcare, Dept Haematol, London, England
[14] Hop La Pitie Salpetriere, Serv Hematol, Paris, France
[15] Goteborg & Skane Univ Hosp, Sahlgrenska Univ Hosp, Dept Hematol, Lund, Sweden
[16] Univ Bologna, Dept Expt Diagnost & Specialty Med DIMES, Bologna, Italy
[17] Hosp Italiano Buenos Aires, Dept Hematol, Buenos Aires, DF, Argentina
[18] CHU, Hop La Miletrie, Poitiers, France
[19] Hallym Univ, Dongtan Sacred Heart Hosp, Dept Hematooncol, Hwasung, South Korea
[20] Hosp Santa Maria, Dept Hematol, Lisbon, Portugal
[21] Wilhelminenspital Stadt Wien, Ctr Oncol Hematol & Palliat Care, Dept Med, Vienna, Austria
[22] Atrium Hlth Levine Canc Inst, Dept Hematol & Med Oncol, Charlotte, NC USA
[23] Catholic Univ Korea, Seoul St Marys Hosp, Dept Internal Med, Hematol, Seoul, South Korea
[24] Janssen Pharmaceut, Horsham, PA USA
[25] Cedars Sinai Outpatient Canc Ctr, Los Angeles, CA USA
[26] Clin Univ Navarra, IDISNA, CIMA, CIBERONC, Pamplona, Spain
关键词
PROGRESSION; THALIDOMIDE; GAMMOPATHY; CRITERIA; THERAPY;
D O I
10.1038/s41408-020-00366-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Smoldering multiple myeloma (SMM) is an asymptomatic precursor state of multiple myeloma (MM). Recently, MM was redefined to include biomarkers predicting a high risk of progression from SMM, thus necessitating a redefinition of SMM and its risk stratification. We assembled a large cohort of SMM patients meeting the revised IMWG criteria to develop a new risk stratification system. We included 1996 patients, and using stepwise selection and multivariable analysis, we identified three independent factors predicting progression risk at 2 years: serum M-protein >2 g/dL (HR: 2.1), involved to uninvolved free light-chain ratio >20 (HR: 2.7), and marrow plasma cell infiltration >20% (HR: 2.4). This translates into 3 categories with increasing 2-year progression risk: 6% for low risk (38%; no risk factors, HR: 1); 18% for intermediate risk (33%; 1 factor; HR: 3.0), and 44% for high risk (29%; 2-3 factors). Addition of cytogenetic abnormalities (t(4;14), t(14;16), +1q, and/or del13q) allowed separation into 4 groups (low risk with 0, low intermediate risk with 1, intermediate risk with 2, and high risk with >= 3 risk factors) with 6, 23, 46, and 63% risk of progression in 2 years, respectively. The 2/20/20 risk stratification model can be easily implemented to identify high-risk SMM for clinical research and routine practice and will be widely applicable.
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页数:11
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