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Radioimmunotherapy in Non-Hodgkin Lymphoma: Prediction and Assessment of Response Publisher Pubmed



Eskian M1, 2 ; Khorasanizadeh M1, 2 ; Kraeberbodere F3, 4, 5 ; Rezaei N1, 6, 7
Authors
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Authors Affiliations
  1. 1. Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  3. 3. Nuclear Medicine Department, Nantes University Hospital, Nantes, France
  4. 4. Nuclear Medicine Department, Institut de Cancerologie de l'Ouest Rene Gauducheau, Nantes, France
  5. 5. INSERM UMR 892-Cancer Research Center, Universite de Nantes, Nantes, France
  6. 6. Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Boston, MA, United States

Source: Critical Reviews in Oncology/Hematology Published:2016


Abstract

Non-Hodgkin lymphoma (NHL) is one of the most common malignancies and a major cause of morbidity and mortality. Radioimmunotherapy (RIT) is a novel modality for treating NHL which offers the combined use of monoclonal antibodies for specific targeting of malignant cells and radiation for killing these cells. Despite the promising results favoring RIT in several clinical studies in different target populations and NHL types, Food and Drug Administration (FDA) approval for RIT agents is restricted to a limited number of indications and agents, maybe because of several ambiguities that still exist in the field. One of these ambiguities are the lack of evidence-based prognostic factors that determine what patient population would benefit most from RIT, which is essential to know in order to optimize the efficacy and safety of treatment with RIT. As well as selecting the best patient population for RIT, it is important to assess the response to RIT in order to provide further treatment strategies or avoid unnecessary therapies and diagnostic procedures. In this review we have explored the details of how to predict the efficiency of RIT based on various prognostic factors that have been investigated in the evidence, and also discussed the proposed methods and timing schedules for assessing the response to RIT. We have also pointed out the ambiguities in the aforementioned topics, which call for more investigation. © 2016 Elsevier Ireland Ltd
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