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Multi-layer molecular profiling defines an immune-active colorectal cancer subtype with therapeutic relevance

  • Miao Zou
  • , Zuxiang Wang
  • , Wenyang Zhou
  • , Guangfu Xue
  • , Yi Hui
  • , Fenglan Pang
  • , Renjie Tan
  • , Zhaochun Xu
  • , Xiyun Jin
  • , Haoxiu Sun*
  • , Pingping Wang*
  • , Qinghua Jiang*
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • Harbin Medical University

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number102907
JournalMolecular Therapy Nucleic Acids
Volume37
Issue number2
DOIs
StatePublished - 16 Jun 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    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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