Evidence map›Paper›PMID 40574852›Full record

ArticleFrontiers in immunology2025

Cross-cohort multi-omics analysis identifies novel clusters driven by EMT signatures in colorectal cancer.

Wu Ning, Wenqing Jia, Jingyuan Ning, Lei Zhou, Zongze Li, Lin Zhang, Xin Song

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Wu NingDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Wenqing JiaInstitute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, China.
Jingyuan NingInstitute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Lei ZhouDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Zongze LiDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Lin ZhangDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Xin SongDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The pronounced heterogeneity of colorectal cancer (CRC) significantly impacts patient prognosis and therapeutic response, making elucidation of its molecular mechanisms critical for developing precision treatment strategies. This study aimed to systematically characterize tumor cell heterogeneity and explore its clinical implications. Methods: Five single-cell RNA sequencing cohorts were integrated (comprising 70 CRC samples and 164,173 cells) to systematically analyze tumor cell heterogeneity. Unsupervised clustering analysis based on VEGFR+ tumor cell signature genes was used to stratify CRC patients. Key molecular mechanisms were validated through in vitro cellular experiments, in vivo animal models, molecular docking, and dynamics simulations. Results: The analysis successfully identified five distinct tumor cell subtypes, with the VEGFR+ subtype exhibiting marked epithelial-mesenchymal transition (EMT) activation signatures and strong association with metastasis and poor clinical outcomes. Based on VEGFR+ signature genes, CRC patients were stratified into three subgroups: C1 (metabolically active), C2 (proliferative), and C3 (invasive), with the C3 subtype demonstrating high metastatic potential, stem-like properties, and an immunosuppressive microenvironment, along with a five-year survival rate below 50%. Mechanistic investigations identified HOXC6 as a key driver of the C3 subtype, with HOXC6 knockout significantly suppressing CRC cell proliferation, migration, and invasion. Furthermore, molecular docking revealed that the targeted agent abemaciclib effectively binds HOXC6, with both cellular and animal experiments confirming its ability to inhibit CRC cell functions and significantly reduce tumor burden in nude mice. Discussion: This study establishes the first single-cell-resolution molecular classification system for CRC, delineates the mechanistic link between EMT subtypes and metastatic progression, and identifies HOXC6 as a novel therapeutic vulnerability. These findings provide a translational foundation for precision oncology and offer new rationale for precision diagnosis and treatment of colorectal cancer.

Indexed as

Biomarkers, TumorColorectal NeoplasmsEpithelial-Mesenchymal TransitionAnimalsCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHomeodomain ProteinsHumansMaleMiceMolecular Docking SimulationMultiomicsPrognosisSingle-Cell AnalysisBiomarkers, TumorHomeodomain Proteinscolorectal cancerEMTHOXC6metastaticscRNA-seq

Identifiers

PMID40574852
PMCPMC12198181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.