AI-guided discovery identifies GPNMB as promising CAR T cell target for multiple cancers
By
Daniel J. Baker1,2,3 Send email to [email protected]
Summary
Researchers developed an AI-driven framework for discovering CAR T cell therapy targets by integrating single-cell RNA sequencing data from human skin cancer and healthy tissue. The approach uses large language models and public datasets to refine candidates based on tumor composition, tissue specificity, and clinical feasibility. GPNMB emerged as a promising antigen candidate, and GPNMB CAR T cells demonstrated potent activity in multiple mouse models of cancer, suggesting potential as a multi-cancer therapy.
Source
Twitter / XAI-guided discovery identifies GPNMB as promising CAR T cell target for multiple cancerscell.comKey quotes
· 3 pulledChimeric antigen receptor (CAR) T cells have demonstrated curative potential in hematologic cancers and increasing efficacy in solid tumors and non-malignant diseases.
Target identification remains a major bottleneck.
GPNMB emerged as a versatile candidate antigen, enabling the development of GPNMB CAR T cells with potent activity in multiple xenograft mouse models of cancer.
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