Abstract
Colorectal cancer (CRC) exhibits substantial heterogeneity in response to immunotherapy, highlighting the critical need for improved stratification strategies. Here, we established a robust multi-omics framework by integrating transcriptomic, epigenetic, and mutational profiles, identifying three cancer subtypes (CS1–CS3). Among these, the CS3 subtype emerged as a distinct immunogenic class characterized by genomic instability and robust immune activation, capturing a subset of immune-inflamed tumors classified as clinically microsatellite-stable (MSS) that may be overlooked by routine microsatellite instability (MSI) testing. Single-cell transcriptomics further supported this immune-active state by revealing enrichment of pro-inflammatory myeloid populations and specialized epithelial states. Longitudinal analysis of independent immunotherapy cohorts revealed that CS3 signature activity exhibits response-dependent dynamics. While elevated baseline CS3 activity was associated with favorable clinical outcomes, significant post-treatment score reductions were primarily enriched among patients achieving radiographic complete response (CR). To facilitate clinical translation, we derived an 11-gene prognostic model for risk stratification and leveraged pharmacogenomic screening to prioritize actionable combination candidates, including multi-kinase and epigenetic inhibitors. Collectively, these findings characterize a therapeutically relevant immune-active subtype and provide a comprehensive framework of biomarkers and actionable targets to advance precision immunotherapy in CRC.
| Original language | English |
|---|---|
| Article number | 102907 |
| Journal | Molecular Therapy Nucleic Acids |
| Volume | 37 |
| Issue number | 2 |
| DOIs | |
| State | Published - 16 Jun 2026 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- MT: Bioinformatics
- colorectal cancer
- immune-active subtype
- immunotherapy
- multi-omics
- single-cell RNA sequencing
- tumor immune microenvironment
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