A multiparameter flow cytometry immunophenotypic algorithm for the identification of newly diagnosed symptomatic myeloma with an MGUS-like signature and long-term disease control
| Autor: | Paiva B, Vídriales MB, Rosiñol L, Martínez-López J, Mateos MV, Ocio EM, Montalbán MÁ, Cordón L, Gutiérrez NC, Corchete L, Oriol A, Terol MJ, Echeveste MA, De Paz R, De Arriba F, Palomera L, de la Rubia J, Díaz-Mediavilla J, Granell M, Gorosquieta A, Alegre A, Orfao A, Lahuerta JJ, Bladé J, San Miguel JF, Grupo Español de MM/Programa para el Estudio de la Terapéutica en Hemopatías Mal |
|---|---|
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Leukemia r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe instname |
| ISSN: | 0887-6924 |
| Popis: | Achieving complete remission (CR) in multiple myeloma (MM) translates into extended survival, but two subgroups of patients fall outside this paradigm: cases with unsustained CR, and patients that do not achieve CR but return into a monoclonal gammopathy of undetermined significance (MGUS)-like status with long-term survival. Here, we describe a novel automated flow cytometric classification focused on the analysis of the plasma-cell compartment to identify among newly diagnosed symptomatic MM patients (N=698) cases with a baseline MGUS-like profile, by comparing them to MGUS (N=497) patients and validating the classification model in 114 smoldering MM patients. Overall, 59 symptomatic MM patients (8%) showed an MGUS-like profile. Despite achieving similar CR rates after high-dose therapy/autologous stem cell transplantation vs other MM patients, MGUS-like cases had unprecedented longer time-to-progression (TTP) and overall survival (OS; ~60% at 10 years; P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|