Evidence map›Paper›PMID 39753834›Full record

ArticleCell biology and toxicology2025

Identification of cancer-associated fibroblast subtypes and prognostic model development in breast cancer: role of the RUNX1/SDC1 axis in promoting invasion and metastasis.

Yunhao Wu, Nu Li, Jin Shang, Jiazi Jiang, Xiaoliang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell biology and toxicology, 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. Article
  2. Review
  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

5 authors.

Yunhao WuDepartment of General Surgery, Shengjing Hospital of China Medical University, Pancreatic and Thyroid Ward, Shenyang, 110004, P. R. China.
Nu LiDepartment of Breast surgery, The First Hospital of China Medical University, Shenyang, 110004, P.R. China.
Jin ShangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, P. R. China.
Jiazi JiangDepartment of Emergency, The First Hospital of China Medical University, No.155 Nanjing Road, Heping District, Shenyang, 110001, Liaoning Province, P. R. China. jzjiang@cmu.edu.cn.
Xiaoliang LiuDepartment of Emergency, The First Hospital of China Medical University, No.155 Nanjing Road, Heping District, Shenyang, 110001, Liaoning Province, P. R. China. shenhai.85@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we identified cancer-associated fibroblast (CAF) molecular subtypes and developed a CAF-based prognostic model for breast cancer (BRCA). The heterogeneity of cancer-associated fibroblasts (CAFs) and their significant involvement in the advancement of BRCA were discovered employing single-cell RNA sequencing. Notably, we discovered that the RUNX1/SDC1 axis enhances BRCA cell invasion and metastasis. RUNX1 transcriptionally upregulates SDC1, which facilitates extracellular matrix remodeling and promotes tumor cell migration. This finding highlights the vital contribution of CAFs to the tumor microenvironment and provides new potential targets for therapeutic intervention. The predictive model showcased remarkable precision in anticipating patient outcomes and could guide personalized treatment strategies.

Indexed as

Breast NeoplasmsCancer-Associated FibroblastsCore Binding Factor Alpha 2 SubunitNeoplasm InvasivenessTumor MicroenvironmentAnimalsCell Line, TumorCell MovementFemaleGene Expression Regulation, NeoplasticHumansMiceNeoplasm MetastasisPrognosisCore Binding Factor Alpha 2 SubunitRUNX1 protein, humanBreast cancerCancer-associated fibroblastsMolecular subtypesPredictive modelRUNX1/SDC1 axisTargeted therapy

Identifiers

PMID39753834
PMCPMC11698906

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.