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Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in Colorectal Cancer

GSE236581 Homo sapiens Other 169 samples Submitted 2024/07/08 Platform GPL24676
Summary
Expanding the efficacy of immune checkpoint blockade (ICB) in colorectal cancer (CRC) patients presses for a comprehensive understanding of treatment responsiveness. Here, we analyzed 169 single-cell samples from CRC patients at multiple sequential time points during the course of anti-PD-1 neoadjuvant therapy to map the evolution of local and systemic immunity. In tumors, exhausted T (Tex) cells or tumor-reactive-like CD8 T (Ttr-like) cells were closely related to treatment efficacy, and we observed correlated dynamics between Tex cells and multiple other tumor-enriched cell types following the treatment. Accordingly, several coordinated cellular programs exhibiting distinct response associations were identified. From a systemic perspective, we found divergent replenishment patterns of Ttr-like cells underlying different response statuses and decoded the phenotypic transitions of Ttr-like cells as they infiltrated tissues from the periphery. Finally, a predictive signature was established using circulating CD8 T cells. Our study provides novel insights into the spatiotemporal cellular dynamics following PD-1 blockade in CRC.
Published in
Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancer
Chen Y, Wang D, Li Y et al. · Cancer cell 2024 · PMID 38981439 · doi:10.1016/j.ccell.2024.06.009
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Also filed as BioProject PRJNA991601. Searching any of these in the dataset finder brings you back here.

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