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Influence of patient characteristics on chimeric antigen receptor T cell therapy in B-cell acute lymphoblastic leukemia

Furun An, Huiping Wang, Zhenyun Liu, Fan Wu, Jiakui Zhang, Qianshan Tao, Yingwei Li, Yuanyuan Shen, Yanjie Ruan, Qing Zhang, Ying Pan, Weiwei Zhu, Hui Qin, Yansheng Wang, Yongling Fu, Zhenqing Feng, Zhimin Zhai

2020Nature Communications70 citationsDOIOpen Access PDF

Abstract

CD19-specific chimeric antigen receptor T cell (CD19 CAR T) therapy has shown high remission rates in patients with refractory/relapsed B-cell acute lymphoblastic leukemia (r/r B-ALL). However, the long-term outcome and the factors that influence the efficacy need further exploration. Here we report the outcome of 51 r/r B-ALL patients from a non-randomized, Phase II clinical trial (ClinicalTrials.gov number: NCT02735291). The primary outcome shows that the overall remission rate (complete remission with or without incomplete hematologic recovery) is 80.9%. The secondary outcome reveals that the overall survival (OS) and relapse-free survival (RFS) rates at 1 year are 53.0 and 45.0%, respectively. The incidence of grade 4 adverse reactions is 6.4%. The trial meets pre-specified endpoints. Further analysis shows that patients with extramedullary diseases (EMDs) other than central nervous system (CNS) involvement have the lowest remission rate (28.6%). The OS and RFS in patients with any subtype of EMDs, higher Tregs, or high-risk genetic factors are all significantly lower than that in their corresponding control cohorts. EMDs and higher Tregs are independent high-risk factors respectively for poor OS and RFS. Thus, these patient characteristics may hinder the efficacy of CAR T therapy.

Topics & Concepts

MedicineCD19Internal medicineChimeric antigen receptorAdverse effectRefractory (planetary science)Complete remissionClinical trialAntigenLeukemiaOncologyImmunologyImmunotherapyChemotherapyBiologyCancerAstrobiologyCAR-T cell therapy researchAdvancements in Semiconductor Devices and Circuit DesignIntegrated Circuits and Semiconductor Failure Analysis
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