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1.
Hematol Oncol ; 35(4): 734-740, 2017 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-27641057

RESUMEN

Multiple myeloma (MM) is a multi-subclonal malignancy with relatively high heterogeneity. Patients who initially presented with both monoclonal-protein (MP) and free light chain (FLC) secretion but then relapsed with a light chain escape pattern have been shown to reflect disease clonal evolution and to bare a worse prognosis. We hypothesized that a discordant MP/FLC pattern at diagnosis may reflect a similar clonal evolution that had occurred prior to diagnosis of active myeloma, conferring a worse outcome. We analyzed 255 consecutive newly diagnosed MM patients who received first line bortezomib-based therapy between 2007 and 2014, hypothesizing that their MP/FLC fingerprint at diagnosis reflects clonal heterogeneity and, therefore, affects outcome. An involved FLC level ≥ 700 mg/L and MP ≥ 2.5 g/L were used as cutoffs for low vs high FLC and MP levels, respectively. Patients were divided into 4 subgroups according to their involved FLC and MP blood levels at diagnosis: HiLC and HiMP for patients with either a predominant FLC or a predominant MP, respectively, and HiLC-MP and LoLC-MP when both FLC and MP were increased or decreased, respectively. There were 68 (27%) patients with HiLC, which presented more often with International Staging System-3 stage (P < .0001). Multivariate analysis showed that HiLC was associated with a 5.1-fold risk for mortality in a multivariate model (95% confidence interval [CI], 1.34-19.68). Both HiLC and HiLC-MP phenotypes were associated with shorter progression-free survival (hazard ratio of 2.66 [95% CI, 1.33-5.32] and 2.82 [95% CI, 1.37-5.83], respectively), independently of other prognostic factors, including the use of autograft. Thus, we identified an LC predominant secretory fingerprint (HiLC phenotype) at diagnosis as a potential independent risk factor that may affect disease control and survival in newly diagnosed MM patients treated with bortezomib-based induction therapy; this may represent increased subclonal heterogeneity.


Asunto(s)
Cadenas Ligeras de Inmunoglobulina/inmunología , Mieloma Múltiple/inmunología , Adulto , Anciano , Anciano de 80 o más Años , Estudios de Cohortes , Femenino , Humanos , Masculino , Persona de Mediana Edad , Mieloma Múltiple/mortalidad , Pronóstico , Factores de Riesgo , Resultado del Tratamiento
2.
Leuk Lymphoma ; 57(6): 1382-8, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-26727104

RESUMEN

Botezomib-based induction is highly effective for the treatment of newly diagnosed multiple myeloma (NDMM). We investigated the outcomes of NDMM patients who failed to respond to bortezomib-based induction in a 'real-life' clinical setting. In a cohort of 295 consecutive NDMM patients in 3 medical centers, 74 (25%) failed to achieve at least partial response after 4 induction cycles, and were classified as non-responsive. Compared to induction responders, they were older, more frequently anemic, had a higher incidence of del17p and ISS-3, and a worse performance status. In multivariable analysis, bortezomib-based induction failure occurred in 25% of patients and was the strongest independent factor predicting mortality with a 5-fold hazard ratio (95% CI 1.44-8.68). Three-year overall survival in responsive vs. non-responsive patients were 76% vs. 53%, respectively (p < 0.0001). Survival from time of salvage second-line treatment was significantly shorter among induction non-responders vs. responders (25 months vs. not-reached, p = 0.024).


Asunto(s)
Antineoplásicos/uso terapéutico , Bortezomib/uso terapéutico , Mieloma Múltiple/tratamiento farmacológico , Anciano , Anciano de 80 o más Años , Antineoplásicos/administración & dosificación , Bortezomib/administración & dosificación , Terapia Combinada , Resistencia a Antineoplásicos , Femenino , Trasplante de Células Madre Hematopoyéticas , Humanos , Masculino , Persona de Mediana Edad , Mieloma Múltiple/diagnóstico , Mieloma Múltiple/mortalidad , Recurrencia Local de Neoplasia , Estadificación de Neoplasias , Paraproteínas , Pronóstico , Modelos de Riesgos Proporcionales , Inducción de Remisión , Insuficiencia del Tratamiento , Resultado del Tratamiento
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