The abstract details the development of a novel CAR-NK cell therapy, designated as SENTI-202, aimed at treating acute myeloid leukemia (AML). The therapy addresses two main challenges: the absence of a single target antigen that is uniquely expressed in
AML cells and the potential for off-
tumor toxicity due to the presence of current target antigens in healthy tissues.
The researchers utilized a bioinformatics platform to identify a combination of AML-associated and healthy tissue antigens for targeting. The SENTI-202 therapy is an allogeneic CAR-NK cell that employs a
FLT3 OR
CD33 NOT Endomucin (EMCN) gene circuit. This design allows the therapy to target AML tumor cells while sparing healthy hematopoietic stem cells (HSCs).
In vitro studies showed that the engineered NK cells with activating CARs (aCARs) recognizing both FLT3 and CD33 were more effective than single target CARs. The cells demonstrated high cytotoxicity and cytokine secretion against various
leukemia cell lines. Two CAR configurations were tested: bicistronic and bivalent CARs, with the latter showing greater efficacy.
The therapy also showed significant cytotoxicity against primary AML patient samples and reduced tumor burden in mouse models, suggesting a synergistic anti-tumor effect and a potential for durable remission.
To protect healthy HSCs, the team developed inhibitory CARs (iCARs) that recognize a healthy cell antigen, EMCN. The iCARs were shown to protect FLT3+ EMCN+ cells from cytotoxicity mediated by the FLT3 aCAR.
Finally, the NOT GATE portion of the gene circuit was demonstrated to selectively target FLT3+ EMCN- cells, mimicking a clinical scenario and showing cell-specific control of NK responses.
In conclusion, the SENTI-202 CAR-NK cell therapy, with its OR and NOT logic gated CAR gene circuits, is a promising candidate for treating AML. The OR gate enhances tumor clearance, while the NOT gate safeguards healthy HSCs, potentially reducing the need for bone marrow transplants. The approach could also be extended to other cancer types with similar challenges.
How to Use Synapse Database to Search and Analyze Translational Medicine Data?
The transational medicine section of the Synapse database supports searches based on fields such as drug, target, and indication, covering the T0-T3 stages of translation. Additionally, it offers a historical conference search function as well as filtering options, view modes, translation services, and highlights summaries, providing you with a unique search experience.

Taking obesity as an example, select "obesity" under the indication category and click search to enter the Translational Medicine results list page. By clicking on the title, you can directly navigate to the original page.

By clicking the analysis button, you can observe that GLP-1R treatment for obesity has gained significant attention over the past three years, with preclinical research still ongoing in 2023. Additionally, there are emerging potential targets, such as GDF15, among others.

Click on the image below to go directly to the Translational Medicine search interface.
