A Novel Prognostic Index for Patients with EBV-DLBCL NOS: A Study from the Grupo De Estudio Latinoamericano De Linfoproliferativos (GELL)

Autor: Jorge J. Castillo, Victoria Irigoin, Luis Villela, Yusaima Rodriguez, Henry Idrobo, Fabiola Valvert, Maria Gabriela De Galvez, Carolina Cristina Pellegrino, Ana Florencia Ramirez-Ibarguen, Humberto Martinez-Cordero, Myrna Candelaria, Rosa Oliday Rios, Bryan Valcarcel, Ana Carolina Oliver, Guilherme Fleury Perini, Denisse Castro, Francisco José Perales López, Efreen Montaño Figueroa, Luis Malpica Castillo, Brady E Beltran, Sally Rose Paredes
Rok vydání: 2021
Předmět:
Zdroj: Blood. 138:1436-1436
ISSN: 1528-0020
0006-4971
DOI: 10.1182/blood-2021-151389
Popis: Introduction: Epstein Barr virus-positive (EBV+) diffuse large B-cell lymphoma (DLBCL), not otherwise specified (NOS) is a newly recognized entity by the World Health Organization. EBV+ DLBCL, NOS is commonly encountered in Latin American countries and carries a dismal prognosis. Current prognostic models such as the Oyama and the International Prognostic Index (IPI) score have limited prognostic value in this patient population. Therefore, we aim to evaluate the ability of these models to risk stratify patients and propose a novel prognostic model in the largest cohort of Latin American patients with EBV+ DLBCL, NOS. Methods: This retrospective cohort study included patients ≥18 years from six Latin American countries diagnosed and treated at tertiary centers from 2010 to 2020. Hematopathologists at each institution reviewed pathological samples to confirm the diagnosis of EBV+ DLBCL, NOS. We collected clinicopathological data by reviewing the medical records of the patients. The primary endpoint was overall survival (OS), defined as the time from the date of diagnosis until death from any cause or last visit. The secondary endpoint, progression-free survival (PFS), was defined as the time from diagnosis until death, progression, or last visit. Our novel model (Grupo de Estudio Latinomericano de Linfoproliferativos [GELL] Score) includes the Eastern Cooperative Oncology Group (ECOG) performance status ≥2, extranodal involvement >1, serum albumin 455. We assigned a value of 1 to each of the abovementioned elements in the score and classified the patients as low (0 points), intermediate (1-2 points), and high (3-5) risk. OS and PFS probabilities were computed with the Kaplan-Meier method and compared with the log-rank test. We used Cox regression to evaluate the proportional hazard ratios (HR) of each score for our study outcomes. The C-index was employed to measure discrimination of each model. We used cross-validation to evaluate the model performance. Results: A total of 154 patients with EBV+ DLBCL, NOS were included in this analysis. The median age at diagnosis was 58 years (range 19-86 years) with a slight male predominance (53%). EBER was positive in all cases (range 1-100%). Clinically, 39% presented ECOG ≥2, 57% had B symptoms, 50% had an extranodal disease as a primary tumor, and 71% had Ann Arbor stage III/IV. Fifty-one percent of the patients had an elevated LDH level, and 43% had albumin Conclusions: This study proposes a novel score for risk stratification of patients with EBV+ DLBCL, NOS. The GELL score appears to better discriminate OS and PFS than previous scores. Our results should be validated in an independent prospective cohort. Figure 1 Figure 1. Disclosures Ramirez-Ibarguen: Asofarma: Consultancy; MSD: Consultancy; Abbvie: Speakers Bureau; Astra Zeneca: Speakers Bureau; Janssen: Speakers Bureau; Roche: Speakers Bureau; Takeda: Consultancy, Speakers Bureau. Perini: Janssen: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Astra Zeneca: Honoraria, Speakers Bureau; MSD: Honoraria, Speakers Bureau. Oliver: Roche: Other: conference support and fees ; Abbvie: Other: conference support and fees . Castillo: Abbvie: Consultancy, Research Funding; BeiGene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Janssen: Consultancy; Roche: Consultancy; TG Therapeutics: Research Funding.
Databáze: OpenAIRE
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