Publication Date:
2019-11-13
Description:
Introduction. Diffuse large B cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphomas (NHL). The use of chemoimmunotherapy (R-CHOP) in DLBCL has improved Overall Survival (OS). However, there are among 45-55% of patients who will die due to relapse, progression (refractoriness) or toxicity to treatment. Genomic classifications are difficult to use in clinical practice, especially in lain America, due to the need of trained personnel and cost. So, we continue using the International Prognostic Index (IPI) and its variations (e.g. revised-IPI, NCCN-IPI) for prognostic purposes. However, other biological variables have been reported to be prognostic, such as serum beta-2-microglobulin (B2M), lymphocyte/monocyte ratio (LMR), neutrophil/lymphocyte ratio (NLR), platelets/lymphocyte ratio (PLR) and serum albumin (SA). These factors have been associated with burden of disease, inflammation and nutritional status. Aim. Therefore, we performed a retrospective analysis of the databases of two Latin American groups to determine which biological variable is the most powerful factor prognostic of OS. Methods. A total of 1,250 patients were analyzed from two databases [(Grupo de Estudio para el Linfoma Mexicano (GELMEX) and the Grupo de Estudio para el Linfoma Latino Americano (GELL)], where 525 patients met the following inclusion criteria: DLBCL diagnosis by immunochemistry; complete data on absolute lymphocyte, absolute monocyte, absolute neutrophil and absolute platelet count, serum B2M and SA; and complete data on traditional variables for calculating risk groups for IPI, NCCN-IPI & R-IPI. The LMR, NLR and PLR was obtained. We evaluated the AUC of the biological variables and the differences among each one of them (including cut-off). Kaplan-Meier curves (KMC) were estimated and subsequently, the inference of OS was evaluated by Hazard Ratio (HR) Cox-regression in univariate/multivariate analyses by forward model. All variables with p3.2 mg/dL vs. ≤3.2 mg/dL) were 72% vs 34% (Log Rank p
Print ISSN:
0006-4971
Electronic ISSN:
1528-0020
Topics:
Biology
,
Medicine