Identification of Predictive Biomarkers for Cytokine Release Syndrome after Chimeric Antigen Receptor T-cell Therapy for Acute Lymphoblastic Leukemia

David T. Teachey(Children's Hospital of Philadelphia), Simon F. Lacey(University of Pennsylvania), Pamela A. Shaw(University of Pennsylvania), J. Joseph Melenhorst(University of Pennsylvania), Shannon L. Maude(Children's Hospital of Philadelphia), Noelle V. Frey(University of Pennsylvania), Edward Pequignot(University of Pennsylvania), Vanessa Gonzalez(University of Pennsylvania), Fang Chen(University of Pennsylvania), Jeffrey Finklestein(University of Pennsylvania), David M. Barrett(Children's Hospital of Philadelphia), Scott L. Weiss(University of Pennsylvania), Julie C. Fitzgerald(University of Pennsylvania), Robert A. Berg(University of Pennsylvania), Richard Aplenc(Children's Hospital of Philadelphia), Colleen Callahan(Children's Hospital of Philadelphia), Susan R. Rheingold(Children's Hospital of Philadelphia), Zhaohui Zheng(University of Pennsylvania), Stefan Rose‐John(Christian-Albrechts-Universität zu Kiel), Jason C. White(Alexander T. Augusta Military Medical Center), Farzana Nazimuddin(University of Pennsylvania), Gerald Wertheim(University of Pennsylvania), Bruce L. Levine(University of Pennsylvania), Carl H. June(University of Pennsylvania), David L. Porter(University of Pennsylvania), Stephan A. Grupp(Children's Hospital of Philadelphia)
Cancer Discovery
April 13, 2016
Cited by 1,078Open Access
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Abstract

UNLABELLED: Chimeric antigen receptor (CAR)-modified T cells with anti-CD19 specificity are a highly effective novel immune therapy for relapsed/refractory acute lymphoblastic leukemia. Cytokine release syndrome (CRS) is the most significant and life-threatening toxicity. To improve understanding of CRS, we measured cytokines and clinical biomarkers in 51 CTL019-treated patients. Peak levels of 24 cytokines, including IFNγ, IL6, sgp130, and sIL6R, in the first month after infusion were highly associated with severe CRS. Using regression modeling, we could accurately predict which patients would develop severe CRS with a signature composed of three cytokines. Results were validated in an independent cohort. Changes in serum biochemical markers, including C-reactive protein and ferritin, were associated with CRS but failed to predict development of severe CRS. These comprehensive profiling data provide novel insights into CRS biology and, importantly, represent the first data that can accurately predict which patients have a high probability of becoming critically ill. SIGNIFICANCE: CRS is the most common severe toxicity seen after CAR T-cell treatment. We developed models that can accurately predict which patients are likely to develop severe CRS before they become critically ill, which improves understanding of CRS biology and may guide future cytokine-directed therapy. Cancer Discov; 6(6); 664-79. ©2016 AACR.See related commentary by Rouce and Heslop, p. 579This article is highlighted in the In This Issue feature, p. 561.


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