Evidence map›Paper›PMID 36197901›Full record

ReviewCancer science2023

The heterogeneity of cancer-associated fibroblast subpopulations: Their origins, biomarkers, and roles in the tumor microenvironment.

Yurie Yamamoto, Hiroaki Kasashima, Yasuhiro Fukui, Gen Tsujio, Masakazu Yashiro, Kiyoshi Maeda

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
10.3field-weighted citation impact, top 1% of its field
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

98 citing papers in PubMed, 109 citations in OpenAlex.

  1. Review
  2. Chlorin e6-mediated sublethal photodynamic therapy modulates biomarkers in a murine lung cancer-derived in vitro cancer-associated fibroblast model.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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  7. Heterogeneity of cancer-associated fibroblast subtypes in the prostate cancer microenvironment and their clinical implications: prognostic model construction and therapeutic target exploration based on bioinformatics analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
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38 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Yurie YamamotoMolecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0003-0277-5814
Hiroaki KasashimaMolecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-5234-4030
Yasuhiro FukuiDepartment of Gastroenterological Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Gen TsujioMolecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Masakazu YashiroMolecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-5743-7228
Kiyoshi MaedaDepartment of Gastroenterological Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Osaka City University · JPOsaka Metropolitan University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis for patients with cancers known for a highly activated stromal reaction, including diffuse-type (scirrhous) gastric cancer, consensus molecular subtype 4 (CMS4) colorectal cancer, and pancreatic ductal adenocarcinoma, is extremely poor. To explore the resistance of conventional therapy for those refractory cancers, detailed classification and investigation of the different subsets of cancer-associated fibroblasts (CAFs) involved are needed. Recent studies with a single-cell transcriptomics strategy (single-cell RNA-seq) have demonstrated that CAF subpopulations contain different origins and marker proteins with the capacity to either promote or suppress cancer progression. Through multiple signaling pathways, CAFs can promote tumor growth, metastasis, and angiogenesis with extracellular matrix (ECM) remodeling; they can also interact with tumor-infiltrating immune cells and modulate the antitumor immunological state in the tumor microenvironment (TME). Here, we review the recent literature on the various subpopulations of CAFs to improve our understanding of the cell-cell interactions in the TME and highlight future avenues for CAF-targeted therapy.

Indexed as

Cancer-Associated FibroblastsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkersHumansTumor MicroenvironmentBiomarkerscancer-associated fibroblastheterogeneityimmune therapysubpopulationtumor microenvironment

Identifiers

PMID36197901
PMCPMC9807521
OpenAlexW4302012126

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.