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Drug-regulated CD33-targeted CAR T cells control AML using clinically optimized rapamycin dosing
Jacob Appelbaum, … , Alexander Astrakhan, Michael C. Jensen
Jacob Appelbaum, … , Alexander Astrakhan, Michael C. Jensen
Published March 19, 2024
Citation Information: J Clin Invest. 2024;134(9):e162593. https://doi.org/10.1172/JCI162593.
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Research Article Hematology

Drug-regulated CD33-targeted CAR T cells control AML using clinically optimized rapamycin dosing

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Abstract

Chimeric antigen receptor (CAR) designs that incorporate pharmacologic control are desirable; however, designs suitable for clinical translation are needed. We designed a fully human, rapamycin-regulated drug product for targeting CD33+ tumors called dimerizaing agent–regulated immunoreceptor complex (DARIC33). T cell products demonstrated target-specific and rapamycin-dependent cytokine release, transcriptional responses, cytotoxicity, and in vivo antileukemic activity in the presence of as little as 1 nM rapamycin. Rapamycin withdrawal paused DARIC33-stimulated T cell effector functions, which were restored following reexposure to rapamycin, demonstrating reversible effector function control. While rapamycin-regulated DARIC33 T cells were highly sensitive to target antigen, CD34+ stem cell colony-forming capacity was not impacted. We benchmarked DARIC33 potency relative to CD19 CAR T cells to estimate a T cell dose for clinical testing. In addition, we integrated in vitro and preclinical in vivo drug concentration thresholds for off-on state transitions, as well as murine and human rapamycin pharmacokinetics, to estimate a clinically applicable rapamycin dosing schedule. A phase I DARIC33 trial has been initiated (PLAT-08, NCT05105152), with initial evidence of rapamycin-regulated T cell activation and antitumor impact. Our findings provide evidence that the DARIC platform exhibits sensitive regulation and potency needed for clinical application to other important immunotherapy targets.

Authors

Jacob Appelbaum, April E. Price, Kaori Oda, Joy Zhang, Wai-Hang Leung, Giacomo Tampella, Dong Xia, Pauline P.L. So, Sarah K. Hilton, Claudya Evandy, Semanti Sarkar, Unja Martin, Anne-Rachel Krostag, Marissa Leonardi, Daniel E. Zak, Rachael Logan, Paula Lewis, Secil Franke-Welch, Njabulo Ngwenyama, Michael Fitzgerald, Niklas Tulberg, Stephanie Rawlings-Rhea, Rebecca A. Gardner, Kyle Jones, Angelica Sanabria, William Crago, John Timmer, Andrew Hollands, Brendan Eckelman, Sanela Bilic, Jim Woodworth, Adam Lamble, Philip D. Gregory, Jordan Jarjour, Mark Pogson, Joshua A. Gustafson, Alexander Astrakhan, Michael C. Jensen

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Figure 7

In vitro modeling of SC-DARIC33 rapamycin response allows targeted rapamycin dosing in vivo.

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In vitro modeling of SC-DARIC33 rapamycin response allows targeted rapam...
(A) Cytokine release following stimulation of DARIC33 cells with MV4-11 AML cells in medium or whole blood in the presence of increasing rapamycin concentrations. IFN-γ responses are normalized per donor, and apparent EC50 determined using 4-parameter logistic dose-response curves is reported. (B) Determination of rapamycin pharmacokinetics in mice. Concentrations of rapamycin in whole blood obtained during administration of various rapamycin doses 3 times weekly are shown above, along with the timing of intraperitoneal rapamycin injections (bars, below). Upper limit of quantitation (ULOQ = 200 ng/mL) and lower limit of quantitation (LLOQ = 1 ng/mL) are indicated. (C and D) AML tumor progression in mice following treatment with DARIC33 and various dose schedules of rapamycin days 0–18 after T cell infusion. (C) Schematic illustrating experimental design. (D) Quantitation of tumor growth kinetics. Points represent bioluminescence measures of individual mice (n = 5–10 per group), and lines indicate tumor growth trajectories modeled using linear mixed effects. (E) Modeled tumor growth rates (slopes of lines in D). Points are growth rates modeled for individual mice; boxes and whiskers show mean and SD. **P < 0.01, ***P < 0.001, ****P < 0.0001, 2-tailed t tests with Benjamini-Hochberg correction for multiple comparisons.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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