OAB-037: Assessing the prognostic utility of the Mayo 2018 and IMWG 2020 smoldering multiple myeloma risk stratification scores applied post diagnosis

2021 ◽  
Vol 21 ◽  
pp. S24
Author(s):  
Alissa Visram ◽  
S. Vincent Rajkumar ◽  
Prashant Kapoor ◽  
Angela Dispenzieri ◽  
Martha Lacy ◽  
...  
2018 ◽  
Vol 8 (6) ◽  
Author(s):  
Arjun Lakshman ◽  
S. Vincent Rajkumar ◽  
Francis K. Buadi ◽  
Moritz Binder ◽  
Morie A. Gertz ◽  
...  

2020 ◽  
Vol 18 (12.5) ◽  
pp. 1777-1779
Author(s):  
Natalie S. Callander

Smoldering multiple myeloma represents approximately 10% to 15% of all myeloma cases, but more thorough evaluation may decrease that number in the future. Risk stratification is important in this patient population to avoid overtreatment or undertreatment. Patients with low-risk disease can be observed without treatment, but those at higher-risk should be enrolled on clinical trials. If a clinical trial is not an option in these patients, a time-limited intervention with lenalidomide ± dexamethasone can be considered.


2018 ◽  
Vol 2 (12) ◽  
pp. 1470-1479 ◽  
Author(s):  
Vernon Wu ◽  
Erin Moshier ◽  
Siyang Leng ◽  
Bart Barlogie ◽  
Hearn Jay Cho ◽  
...  

Key Points FLCr ≥100 and BMPC ≥60% identify high-risk SMM, although with more modest median TTP and 2-year PD than previously published. Baseline immunoparesis, eMP, eHb, and edFLC can help identify an ultra-high-risk SMM cohort.


Cells ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 130
Author(s):  
Tyler Lussier ◽  
Natalie Schoebe ◽  
Sabine Mai

Smoldering multiple myeloma is a heterogeneous asymptomatic precursor to multiple myeloma. Since its identification in 1980, risk stratification models have been developed using two main stratification methods: clinical measurement-based and genetics-based. Clinical measurement models can be subdivided in three types: baseline measurements (performed at diagnosis), evolving measurements (performed over time during follow-up appointments), and imaging (for example, magnetic resonance imaging). Genetic approaches include gene expression profiling, DNA/RNA sequencing, and cytogenetics. It is important to accurately distinguish patients with indolent disease from those with aggressive disease, as clinical trials have shown that patients designated as “high-risk of progression” have improved outcomes when treated early. The risk stratification models, and clinical trials are discussed in this review.


2020 ◽  
Vol 10 (10) ◽  
Author(s):  
María-Victoria Mateos ◽  
Shaji Kumar ◽  
Meletios A. Dimopoulos ◽  
Verónica González-Calle ◽  
Efstathios Kastritis ◽  
...  

Abstract 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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