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Functional genomics for improving adoptive T-cell transfer therapies.

Journal for immunotherapy of cancer 2025 Vol.13(12)

Skeate JG, Lee CJ, Stewart C, Fischbach MJ, Kar B, Tsai AK, Kenderian SS, Stromnes IM, Largaespada DA, Moriarity BS, Rogers LM

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Adoptive cell therapy (ACT) has shown remarkable success in the treatment of some malignancies, particularly leukemia.

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BibTeX ↓ RIS ↓
APA Skeate JG, Lee CJ, et al. (2025). Functional genomics for improving adoptive T-cell transfer therapies.. Journal for immunotherapy of cancer, 13(12). https://doi.org/10.1136/jitc-2025-013286
MLA Skeate JG, et al.. "Functional genomics for improving adoptive T-cell transfer therapies.." Journal for immunotherapy of cancer, vol. 13, no. 12, 2025.
PMID 41365534

Abstract

Adoptive cell therapy (ACT) has shown remarkable success in the treatment of some malignancies, particularly leukemia. However, there are multiple factors that limit the durability of ACT in solid tumors, including dose-limiting toxicities, the immunosuppressive tumor microenvironment, and T-cell exhaustion. As the manufacture and preparation of adoptive T-cell therapies allows time and adequate conditions for ex vivo T-cell engineering, forward genetic screens can identify novel genetic targets that could improve their effectiveness. CRISPR is a commonly used functional genomics tool that has been successfully used to both enhance our understanding of mechanisms of resistance and to discover potential genetic edits to improve ACT. A complementary approach, Sleeping Beauty transposon mutagenesis provides additional opportunities to identify novel genetic edits without being constrained by the annotated human genome. Here, we summarize forward genetic screens and their tools to uncover strategies to enhance ACT. Complementary approaches can be combined and improved on to identify translatable genetic editing strategies through studies that accurately recapitulate disease-specific challenges.

MeSH Terms

Humans; Genomics; Immunotherapy, Adoptive; T-Lymphocytes; Gene Editing; Animals; Neoplasms; CRISPR-Cas Systems