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Evaluation of the MD Anderson tumor score for diffuse large B‐cell lymphoma in the rituximab era
OBJECTIVES: Diffuse large B‐cell lymphoma (DLBCL) is an aggressive heterogeneous lymphoma with standard treatment. However, 30%‐40% of patients still fail, so we should know which patients are candidates for alternative therapies. IPI is the main prognostic score but, in the rituximab era, it cannot...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217048/ https://www.ncbi.nlm.nih.gov/pubmed/31804029 http://dx.doi.org/10.1111/ejh.13364 |
Sumario: | OBJECTIVES: Diffuse large B‐cell lymphoma (DLBCL) is an aggressive heterogeneous lymphoma with standard treatment. However, 30%‐40% of patients still fail, so we should know which patients are candidates for alternative therapies. IPI is the main prognostic score but, in the rituximab era, it cannot identify a very high‐risk (HR) subset. The MD Anderson Cancer Center reported a score in the prerituximab era exclusively considering tumor‐related variables: Tumor Score (TS). We aim to validate TS in the rituximab era and to analyze its current potential role. METHODS: From GELTAMO DLBCL registry, we selected those patients homogeneously treated with R‐CHOP (n = 1327). RESULTS: Five‐years PFS and OS were 62% and 74%. All variables retained an independent prognostic role in the revised TS (R‐TS), identifying four different risk groups, with 5‐years PFS of 86%, 71%, 50%, and very HR (28%). With a further categorization of three variables of the original TS (Ann Arbor Stage, LDH and B2M), we generated a new index that allowed an improvement in HR assessment. CONCLUSIONS: (a) All variables of the original TS retain an independent prognostic role, and R‐TS remains predictive in the rituximab era; (b) R‐TS and additional categorization of LDH, B2M, and AA stage (enhanced TS) increased the ability to identify HR subsets. |
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