Reversible ON- and OFF-switch chimeric antigen receptors controlled by lenalidomide.
Max JanIrene ScarfoRebecca C LarsonAmanda WalkerAndrea SchmidtsAndrew A GuirguisJessica A GasserMikołaj SłabickiAmanda A BouffardAna P CastanoMichael C KannMaria L CabralAlexander TepperDaniel E GrinshpunAdam S SperlingTaeyoon KyungQuinlan L SieversMichael E BirnbaumMarcela V MausBenjamin L EbertPublished in: Science translational medicine (2021)
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.
Keyphrases
- multiple myeloma
- newly diagnosed
- stem cell transplantation
- chronic lymphocytic leukemia
- cell therapy
- induced apoptosis
- single cell
- oxidative stress
- immune response
- big data
- high throughput
- emergency department
- regulatory t cells
- mesenchymal stem cells
- bone marrow
- machine learning
- squamous cell carcinoma
- stem cells
- artificial intelligence
- electronic health record
- cell death
- copy number
- papillary thyroid
- cell proliferation
- endoplasmic reticulum stress
- replacement therapy
- childhood cancer
- smoking cessation
- diabetic rats
- type iii