scResponse: A Rank-Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single-Cell Data - PubMed
4 hours ago
- #immunotherapy
- #single-cell sequencing
- #cancer metabolism
- scResponse is a rank-based method for identifying cell states contributing to immunotherapy response using single-cell data.
- It quantifies single-cell responses to immunotherapy, capturing influences of diverse cellular subtypes and states on efficacy.
- Key findings include the role of vascular normalization, macrophage polarization, CD8+ T cell exhaustion, and fibroblast subtypes in therapy outcomes.
- Identified metabolic pathways like glyoxylate and dicarboxylate metabolism as sensitizing, and retinol metabolism as suppressing immunotherapy response.
- Validated findings through tumor-CD8+ T cell co-culture assays and in vivo mouse models.
- scResponse enables mechanistic insights and target discovery for novel immunotherapy sensitization strategies.