TY - JOUR
T1 - Progression risk stratification of asymptomatic Waldenström macroglobulinemia
AU - Bustoros, Mark
AU - Sklavenitis-Pistofidis, Romanos
AU - Kapoor, Prashant
AU - Liu, Chia Jen
AU - Kastritis, Efstathios
AU - Zanwar, Saurabh
AU - Fell, Geoffrey
AU - Abeykoon, Jithma P.
AU - Hornburg, Kalvis
AU - Neuse, Carl Jannes
AU - Marinac, Catherine R.
AU - Liu, David
AU - Soiffer, Jenny
AU - Gavriatopoulou, Maria
AU - Boehner, Cody
AU - Cappuccio, Joseph M.
AU - Dumke, Henry
AU - Reyes, Kaitlen
AU - Soiffer, Robert J.
AU - Kyle, Robert A.
AU - Treon, Steven P.
AU - Castillo, Jorge J.
AU - Dimopoulos, Meletios A.
AU - Ansell, Stephen M.
AU - Trippa, Lorenzo
AU - Ghobrial, Irene M.
N1 - Funding Information:
Supported in part by Dana-Farber Cancer Institute to the Center for Prevention of Progression of Blood Cancers; National Institutes of Health Grants No. NIH R01 CA 205954 and F32 CA220859; Leukemia and Lymphoma Society; International Waldenström Macroglobulinemia Foundation; and Michele and Stephen Kirsch Fund for Waldenström Macroglobulinemia. I.M.G is a Scholar in Clinical Research of the Leukemia and Lymphoma Society.
Publisher Copyright:
© 2019 by American Society of Clinical Oncology
PY - 2019
Y1 - 2019
N2 - BACKGROUND Waldenström macroglobulinemia (WM) is preceded by asymptomatic WM (AWM), for which the risk of progression to overt disease is not well defined. METHODS We studied 439 patients with AWM, who were diagnosed and observed at Dana-Farber Cancer Institute between 1992 and 2014. RESULTS During the 23-year study period, with a median follow-up of 7.8 years, 317 patients progressed to symptomatic WM (72%). Immunoglobulin M 4,500 mg/dL or greater, bone marrow lymphoplasmacytic infiltration 70% or greater, b2-microglobulin 4.0 mg/dL or greater, and albumin 3.5 g/dL or less were all identified as independent predictors of disease progression. To assess progression risk in patients with AWM, we trained and cross-validated a proportional hazards model using bone marrow infiltration, immunoglobulin M, albumin, and beta-2 microglobulin values as continuous measures. The model divided the cohort into three distinct risk groups: a high-risk group with a median time to progression (TTP) of 1.8 years, an intermediate-risk group with a median TTP of 4.8 years, and a low-risk group with a median TTP of 9.3 years. We validated this model in two external cohorts, demonstrating robustness and generalizability. For clinical applicability, we made the model available as a Web page application (www.awmrisk.com). By combining two cohorts, we were powered to identify wild type MYD88 as an independent predictor of progression (hazard ratio, 2.7). CONCLUSION This classification system is positioned to inform patient monitoring and care and, for the first time to our knowledge, to identify patients with high-risk AWM who may need closer follow-up or benefit from early intervention.
AB - BACKGROUND Waldenström macroglobulinemia (WM) is preceded by asymptomatic WM (AWM), for which the risk of progression to overt disease is not well defined. METHODS We studied 439 patients with AWM, who were diagnosed and observed at Dana-Farber Cancer Institute between 1992 and 2014. RESULTS During the 23-year study period, with a median follow-up of 7.8 years, 317 patients progressed to symptomatic WM (72%). Immunoglobulin M 4,500 mg/dL or greater, bone marrow lymphoplasmacytic infiltration 70% or greater, b2-microglobulin 4.0 mg/dL or greater, and albumin 3.5 g/dL or less were all identified as independent predictors of disease progression. To assess progression risk in patients with AWM, we trained and cross-validated a proportional hazards model using bone marrow infiltration, immunoglobulin M, albumin, and beta-2 microglobulin values as continuous measures. The model divided the cohort into three distinct risk groups: a high-risk group with a median time to progression (TTP) of 1.8 years, an intermediate-risk group with a median TTP of 4.8 years, and a low-risk group with a median TTP of 9.3 years. We validated this model in two external cohorts, demonstrating robustness and generalizability. For clinical applicability, we made the model available as a Web page application (www.awmrisk.com). By combining two cohorts, we were powered to identify wild type MYD88 as an independent predictor of progression (hazard ratio, 2.7). CONCLUSION This classification system is positioned to inform patient monitoring and care and, for the first time to our knowledge, to identify patients with high-risk AWM who may need closer follow-up or benefit from early intervention.
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U2 - 10.1200/JCO.19.00394
DO - 10.1200/JCO.19.00394
M3 - Article
C2 - 30990729
AN - SCOPUS:85067267140
SN - 0732-183X
VL - 37
SP - 1403
EP - 1411
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 16
ER -