Evidence map›Paper›PMID 41971068›Full record

ArticleMolecular therapy. Nucleic acids2026

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 and 2 more

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Miao ZouCenter for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Zuxiang WangSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Wenyang ZhouSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Guangfu XueCenter for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Yi HuiCenter for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Fenglan PangCenter for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Renjie TanSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Zhaochun XuSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Xiyun JinSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Haoxiu SunSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Pingping WangSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150076, China.
Qinghua JiangCenter for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

colorectal cancerimmune-active subtypeimmunotherapyMT: Bioinformaticsmulti-omicssingle-cell RNA sequencingtumor immune microenvironment

Identifiers

PMID41971068
PMCPMC13068838

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.