| Literature DB >> 33408186 |
Max Jan1,2,3, Irene Scarfò4,5, Rebecca C Larson4,5, Amanda Walker1,2,6, Andrea Schmidts4,5, Andrew A Guirguis1,2, Jessica A Gasser1,2, Mikołaj Słabicki1,2, Amanda A Bouffard4,5, Ana P Castano4,5, Michael C Kann4,5, Maria L Cabral4,5, Alexander Tepper1,2, Daniel E Grinshpun1,2, Adam S Sperling1,2, Taeyoon Kyung7, Quinlan L Sievers1, Michael E Birnbaum7, Marcela V Maus8,4,5, Benjamin L Ebert8,2,9.
Abstract
Cell-based therapies are emerging as effective agents against cancer and other diseases. As autonomous "living drugs," these therapies lack precise control. Chimeric antigen receptor (CAR) T cells effectively target hematologic malignancies but can proliferate rapidly and cause toxicity. We developed ON and OFF switches for CAR T cells using the clinically approved drug lenalidomide, which mediates the proteasomal degradation of several target proteins by inducing interactions between the CRL4CRBN E3 ubiquitin ligase and a C2H2 zinc finger degron motif. We performed a systematic screen to identify "super-degron" tags with enhanced sensitivity to lenalidomide-induced degradation and used these degradable tags to generate OFF-switch degradable CARs. To create an ON switch, we engineered a lenalidomide-inducible dimerization system and developed split CARs that required both lenalidomide and target antigen for activation. Subtherapeutic lenalidomide concentrations controlled the effector functions of ON- and OFF-switch CAR T cells. In vivo, ON-switch split CARs demonstrated lenalidomide-dependent antitumor activity, and OFF-switch degradable CARs were depleted by drug treatment to limit inflammatory cytokine production while retaining antitumor efficacy. Together, the data showed that these lenalidomide-gated switches are rapid, reversible, and clinically suitable systems to control transgene function in diverse gene- and cell-based therapies.Entities:
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Year: 2021 PMID: 33408186 PMCID: PMC8045771 DOI: 10.1126/scitranslmed.abb6295
Source DB: PubMed Journal: Sci Transl Med ISSN: 1946-6234 Impact factor: 17.956