LMO2 Protein Expression Predicts Survival in Patients With Diffuse Large B-Cell Lymphoma Treated With Anthracycline-Based Chemotherapy With and Without Rituximab

Author:

Natkunam Yasodha1,Farinha Pedro1,Hsi Eric D.1,Hans Christine P.1,Tibshirani Robert1,Sehn Laurie H.1,Connors Joseph M.1,Gratzinger Dita1,Rosado Manuel1,Zhao Shuchun1,Pohlman Brad1,Wongchaowart Nicholas1,Bast Martin1,Avigdor Abraham1,Schiby Ginette1,Nagler Arnon1,Byrne Gerald E.1,Levy Ronald1,Gascoyne Randy D.1,Lossos Izidore S.1

Affiliation:

1. From the Department of Pathology and Department of Medicine, Division of Oncology, Stanford University School of Medicine; Departments of Health Research and Policy and Statistics, Stanford University, Stanford, CA; Departments of Clinical Pathology and Hematologic Oncology and Blood Disorders, Cleveland Clinic Foundation, Cleveland, OH; Departments of Pathology and Medicine, University of Nebraska Medical Center, Omaha, NE; Department of Medicine, Division of Hematology-Oncology and Molecular and...

Abstract

Purpose The heterogeneity of diffuse large B-cell lymphoma (DLBCL) has prompted the search for new markers that can accurately separate prognostic risk groups. We previously showed in a multivariate model that LMO2 mRNA was a strong predictor of superior outcome in DLBCL patients. Here, we tested the prognostic impact of LMO2 protein expression in DLBCL patients treated with anthracycline-based chemotherapy with or without rituximab. Patients and Methods DLBCL patients treated with anthracycline-based chemotherapy alone (263 patients) or with the addition of rituximab (80 patients) were studied using immunohistochemistry for LMO2 on tissue microarrays of original biopsies. Staining results were correlated with outcome. Results In anthracycline-treated patients, LMO2 protein expression was significantly correlated with improved overall survival (OS) and progression-free survival (PFS) in univariate analyses (OS, P = .018; PFS, P = .010) and was a significant predictor independent of the clinical International Prognostic Index (IPI) in multivariate analysis. Similarly, in patients treated with the combination of anthracycline-containing regimens and rituximab, LMO2 protein expression was also significantly correlated with improved OS and PFS (OS, P = .005; PFS, P = .009) and was a significant predictor independent of the IPI in multivariate analysis. Conclusion We conclude that LMO2 protein expression is a prognostic marker in DLBCL patients treated with anthracycline-based regimens alone or in combination with rituximab. After further validation, immunohistologic analysis of LMO2 protein expression may become a practical assay for newly diagnosed DLBCL patients to optimize their clinical management.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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