CAR-T cell therapy has shown limited efficacy in solid tumors, largely due to T cell dysfunction driven by chronic antigen exposure. To uncover mediators of this dysfunction, we developed an in vivo screening platform using an ovarian xenograft tumor model in which CD28-based CAR-T cells undergo exhaustion leading to tumor escape. Transcriptomic profiling of tumor-infiltrating CAR-T cells at different stages revealed dynamic upregulation of exhaustion-associated genes. We used this data to design a focused CRISPR/Cas9 library and performed an in vivo screen. We identified 14 significantly enriched candidate genes, among which ZC3H12C emerged as the top hit. Single-cell RNA and ATAC-seq confirmed ZC3H12C expression in CAR-T cells undergoing early exhaustion in vivo. ZC3H12C disruption enhanced CAR-T cell persistence and antitumor efficacy while reducing exhaustion, across both CD28- and 4-1BB-based CARs targeting distinct antigens. These results highlight ZC3H12C as a promising target to improve CAR-T therapy in solid tumors.
Disclosure in the era of generative artificial intelligence
Generative artificial intelligence (AI) has rapidly become embedded in academic writing, assisting with tasks ranging from language editing to drafting text and producing evidence. Despite