Evidence map›Paper›PMID 41449357›Full record

ArticleBMC cancer2025

Single-cell RNA sequencing defines prognostic subtypes and identifies AIF1L as a therapeutic target in colorectal cancer.

Gao Li, Dingxue Wang, Guo Chen

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Gao LiThe First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Oncology Department, Guiyang, Guizhou, China.
Dingxue WangThe First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Oncology Department, Guiyang, Guizhou, China.
Guo ChenGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China. chenguo_gzyy@163.com.

Funding

Traditional Chinese Medicine and Ethnic Medicine Science & Technology Research Project Guizhou Provincial Administration of Traditional Chinese Medicine QZYY-2024-003
6 · The paper itself

Abstract

Colorectal cancer (CRC) progression and therapy resistance are driven by heterogeneous tumor cell populations and microenvironmental interactions. However, a comprehensive single-cell atlas across patients that captures this heterogeneity, and its clinical implications has been lacking. Such an atlas could reveal rare tumor subpopulations that underpin disease aggressiveness and offer new prognostic biomarkers or therapeutic targets. We integrated two high-quality single-cell RNA sequencing datasets from 29 CRC patients to construct a cellular atlas encompassing immune, stromal and epithelial compartments. Malignant epithelial cells were distinguished via inferCNV-based copy number alteration analysis and reclustered, yielding seven transcriptionally distinct malignant subpopulations. One malignant epithelial cluster, marked by high expression of the long non-coding RNA ELFN1-AS1, exhibited the highest stemness signature. From this stem-like cluster, we derived a four-gene prognostic model (RPL21, GAL, ELFN1-AS1, AIF1L). In the TCGA-COAD cohort, this model stratified patients into high-risk and low-risk groups with significantly different survival outcomes, with the high-risk group experiencing significantly worse survival. High-risk tumors were enriched for metabolic and translational pathways and displayed distinct immune and genomic features. AIF1L was identified as a hub gene within the signature, and its knockdown in CRC cells enhanced migration and invasion, functionally validating its role in tumor progression. Our study provides a high-resolution single-cell atlas of CRC and identifies a previously unrecognized stem-like tumor cell subpopulation with prognostic significance. These findings highlight novel prognostic biomarkers and suggest potential therapeutic targets (such as AIF1L) that could inform patient stratification and the development of targeted therapies for CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisRNA, Long NoncodingSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentBiomarkers, TumorRNA, Long NoncodingAIF1LColorectal cancerSingle-cell RNA sequencingTumor microenvironment

Identifiers

PMID41449357
PMCPMC12742196

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.