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Low-Strength Type I Interferon Signaling Promotes CAR T-Cell Treatment Efficacy

GSE283351 Homo sapiens Expression profiling by high throughput sequencing 3 samples Submitted 2026/04/16 Platform GPL24676
Summary
CD19-directed chimeric antigen receptor (CAR) T-cell therapy has significantly advanced the treatment landscape for relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL). However, up to 60% of patients do not achieve a complete response. In this study, we analyzed the infusion products of eight r/r DLBCL patients with distinct clinical responses to axicabtagene ciloleucel using single-cell transcriptomics. Compared to patients with progressive disease, infusion products of complete responders demonstrated stronger signatures of type I interferon (IFN-I) signaling and cytotoxicity. Based on these findings, we developed a novel strategy to improve CD19-directed CAR T-cell treatment efficacy by incorporating IFN-I during the ex vivo manufacturing process. While high-strength IFN-I signaling increases both CAR T-cell cytotoxicity and apoptosis, low-strength IFN-I signaling selectively enhances CAR T-cell cytotoxicity without compromising viability. Our manufacturing method leverages an existing FDA-approved pharmacophore to improve CAR T-cell efficacy without altering CAR expression or current manufacturing protocols. This study demonstrates proof-of-principle for IFN-I as a modulator to enhance CAR T-cell treatment efficacy in vivo, showcasing its translational potential for improving CAR T-cell therapy.
Published in
Low-Strength Type I Interferon Signaling Promotes CAR T-cell Treatment Efficacy
Tang E, Hu Y, Cao G et al. · Cancer immunology research 2026 · PMID 42112708 · doi:10.1158/2326-6066.CIR-25-0691
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Direct links to NCBI, no account and no request form: the whole study as GSE283351_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 3 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1193493 and SRA study SRP549000. Searching any of these in the dataset finder brings you back here.

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