ArticleNucleic acids research2025
Single-cell mapping of alternative splicing linked to checkpoint immunotherapy response.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Immune-associated alternative splicing signatures define molecular subtypes in breast cancer.iScience · 2026Article
- Enhancing targeted strategies for cancer immunotherapy by elucidating mRNA processing mechanisms.Frontiers in immunology · 2026Review
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Authors and funding
23 authors.
Funding
Abstract
Evidence suggests that alternative RNA splicing (AS) plays a critical role in tumor biology and may contribute to the generation of tumor antigens. Here, we develop a method to detect AS in short-read single-cell 5'-RNA-sequencing data, allowing us to uniquely characterize the heterogeneity and dynamic changes in AS in individual cell types within the tumor microenvironment. We identify numerous splicing events specific to either cancer cells or stromal cell types or for triple-negative versus estrogen receptor-positive breast cancers (BCs). By correlating these splice events with expression of splicing regulators in individual cells, we also identify their potential mediators. For instance, we identify and functionally validate the Epithelial Splicing Regulatory Protein-1 (ESRP1) to drive AS in BCs responding to immune checkpoint blockade (ICB). Prioritization of splicing events based on their likelihood to represent tumor antigens reveals that their aggregated load also correlates with high immune activity in multiple cancers, while also predicting expansion of T cells in BCs receiving ICB and prolonging long-term survival of cancer patients treated with ICB. Collectively, our method provides a framework for analyzing AS in single-cell data and defines a key role for AS in the response to ICB.
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Registered trials
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