CD33-CD123 IF-THEN gating reduces toxicity while enhancing the specificity and memory phenotype of AML-targeting CAR-T cells.

IF 11.5 Q1 HEMATOLOGY
Samy Jambon, Jianping Sun, Shawn Barman, Sakunthala Muthugounder, Xue Rachel Bito, Armita Shadfar, Alexandra E Kovach, Brent L Wood, Varsha Thoppey Manoharan, A Sorana Morrissy, Deepa Bhojwani, Alan S Wayne, Michael A Pulsipher, Yong-Mi Kim, Shahab Asgharzadeh, Chintan Parekh, Babak Moghimi
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引用次数: 0

Abstract

CAR T-cell therapy has remarkably succeeded in treating lymphoblastic leukemia. However, its success in AML remains elusive due to the risk of on-target off-tumor toxicity to hematopoietic stem and progenitor cells (HSPC) and insufficient T-cell persistence and longevity. Using a SynNotch circuit, we generated a high-precision "IF-THEN" gated logical circuit against the combination of CD33 and CD123 AML antigens and demonstrated anti-tumor efficacy against AML cell lines and patient-derived xenografts. Unlike constitutively expressed CD123 CAR-T cells, those expressed through the CD33 SynNotch circuit could preserve HSPCs and lower the risk of on-target off-tumor hematopoietic toxicity. These gated CAR-T cells exhibited lower expression of exhaustion markers (PD1, Tim3, LAG3, and CD39), higher frequency of memory T cells (CD62L+CD45RA+), and enhanced expansion. While targeting AML, the moderated circuit CAR signal also helped to mitigate cytokine release syndrome, potentially addressing one of the ongoing challenges in CAR-T immunotherapy.

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来源期刊
CiteScore
12.70
自引率
1.80%
发文量
139
期刊介绍: The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes. The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence. Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.
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