Evidence map›Paper›PMID 39755821›Full record

ArticleApoptosis : an international journal on programmed cell death2025

Prognostic implications and therapeutic opportunities related to CAF subtypes in CMS4 colorectal cancer: insights from single-cell and bulk transcriptomics.

Mengke Ma, Jin Chu, Changhua Zhuo, Xin Xiong, Wenchao Gu, Hansheng Li, Midie Xu, Dan Huang

Abstract read
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In one paragraph

Article in Apoptosis : an international journal on programmed cell death, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

8 authors.

Mengke Ma *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jin Chu *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Changhua Zhuo *Department of Colorectal Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
Xin XiongDepartment of Oncology, Fudan University Shanghai Medical College, Shanghai, China.
Wenchao GuDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hansheng LiSchool of Information Science and Technology, Northwest University, Xi'an, China.
Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China. xumd27202003@sina.com.
Dan HuangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China. danhuang@shca.org.cn.

Funding

Shanghai Engineering Research Center of Artificial Intelligence Technology for Neoplastic Diseases 19DZ2251800
6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) significantly influence tumor progression and therapeutic resistance in colorectal cancer (CRC). However, the distributions and functions of CAF subpopulations vary across the four consensus molecular subtypes (CMSs) of CRC. This study performed single-cell RNA and bulk RNA sequencing and revealed that myofibroblast-like CAFs (myCAFs), tumor-like CAFs (tCAFs), inflammatory CAFs (iCAFs), CXCL14

Indexed as

Cancer-Associated FibroblastsColorectal NeoplasmsTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorCAF heterogeneityColorectal cancerConsensus molecular subtypesMachine learningscRNA-seq

Identifiers

PMID39755821

What OpenQuestion holds

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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.