International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM).
International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM).
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DOI:
10.1038/s41408-020-00366-3
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发表时间:
2020-10-16
影响因子:
12.8
通讯作者:
San-Miguel J
中科院分区:
文献类型:
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作者:
Mateos MV;Kumar S;Dimopoulos MA;González-Calle V;Kastritis E;Hajek R;De Larrea CF;Morgan GJ;Merlini G;Goldschmidt H;Geraldes C;Gozzetti A;Kyriakou C;Garderet L;Hansson M;Zamagni E;Fantl D;Leleu X;Kim BS;Esteves G;Ludwig H;Usmani S;Min CK;Qi M;Ukropec J;Weiss BM;Rajkumar SV;Durie BGM;San-Miguel J
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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影响因子:
12.8
作者:
Ravi P;Kumar S;Gonsalves W;Buadi F;Lacy MQ;Go RS;Dispenzieri A;Kapoor P;Lust JA;Dingli D;Lin Y;Russell SJ;Leung N;Gertz MA;Kyle RA;Bergsagel PL;Rajkumar SV
通讯作者:
Rajkumar SV
影响因子:
20.3
作者:
Dhodapkar, Madhav V.;Sexton, Rachael;Barlogie, Bart
通讯作者:
Barlogie, Bart
影响因子:
11.4
作者:
Rajkumar, SV;Gertz, MA;Witzig, TE
通讯作者:
Witzig, TE
影响因子:
11.4
作者:
Rajkumar, S. V.;Gupta, V.;Kumar, S. K.
通讯作者:
Kumar, S. K.
影响因子:
11.4
作者:
通讯作者:
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