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Attenuation of CD8 T Cell Exhaustion via miR-379-5p-Mediated Memory Promotion and Immune Checkpoint Inhibition

GSE271248 Homo sapiens Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing 6 samples Submitted 2025/04/23 Platform GPL24676
Summary
MicroRNAs are epigenetic regulators of T cell maturation and exhaustion. However, the specific mechanisms by which miRNAs modulate T cell functions during tumor development are not well understood. Here, we demonstrate that miR-379-5p counteracts the exhaustion phenotype induced by chronic T cell stimulation, enhancing anti-tumor effector functions. MiR-379-5p is downregulated in exhausted T cells, negatively associated with exhausted tumor-infiltrating lymphocytes in advanced tumors, and positively correlated with favorable survival in breast cancer and other cancer types. MiR-379-5p directly targets the 3' untranslated region (3’-UTR) of TIM3 and TIGIT, suppressing their expression in CD8 T cells. Ectopic miR-379-5p expression directs differentiation to memory-like effector cells, enhancing cancer cell killing activity. Conversely, the nuclear receptor NR4A1 negatively regulates miR-379 in T cells, restoring immune checkpoint gene expression and mitigating the cancer-killing ability. OT-1 T cells expressing miR-379-5p have elevated cytotoxic killing against B16F10-OVA tumors in NOD-SCID mice. Importantly, autologous T cells isolated from breast cancer patients introduced with miR-379-5p significantly increase their killing activity against tumor organoids derived from the matched patients. Our findings identify miR-379-5p as an epigenetic tumor suppressor that promotes CD8+ T cell effector functions, offering promise for novel cancer immunotherapy strategies.
Published in
Memory-promoting function of miR-379-5p attenuates CD8(+) T cell exhaustion by targeting immune checkpoints
Lin YZ, Liu CH, Wu WR et al. · Journal for immunotherapy of cancer 2025 · PMID 40221151 · doi:10.1136/jitc-2024-010363
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Also filed as BioProject PRJNA1130525 and SRA study SRP517402. Searching any of these in the dataset finder brings you back here.

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