Evidence map›Paper›PMID 40296919›Full record

ReviewOncology research2025

Research progress on cancer-associated fibroblasts in osteosarcoma.

Liwen Feng, Yuting Chen, Wenyi Jin

Abstract readReview
In one paragraph

Review in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Skeletal stem cell lineages in osteosarcoma and bone metastasis.Journal of bone and mineral metabolism · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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.

Liwen FengDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Yuting ChenDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Wenyi JinDepartment of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is a prevalent primary bone malignancy with limited treatment options. Therefore, it is imperative to investigate and understand the mechanisms underlying OS pathogenesis. Cancer-associated fibroblasts (CAFs) are markedly abundant in tumor stromal cells and are essentially involved in the modulation of tumor occurrence and development. In recent years, CAFs have become a hotspot as researchers aim to elucidate CAF mechanisms that regulate tumor progression. However, most studies on CAFs are limited to a few common cancers, and their association with OS remains elusive. This review describes the role and current knowledge of CAFs in OS, focusing on their potential cellular origin, classification, and diverse functionality. It was found that CAFs influenced OS tumor cell signaling, proliferation, invasion, metastasis, epithelial-mesenchymal transition, stemness maintenance, angiogenesis, and the ability to modify immune system components. Furthermore, findings on other common cancers indicated that effective therapeutic strategies included the manipulation of CAF activation, targeting CAF-derived components, and depletion of CAFs by biomarkers. This review provides new insights and a theoretical basis for OS research.

Indexed as

Bone NeoplasmsCancer-Associated FibroblastsOsteosarcomaAnimalsEpithelial-Mesenchymal TransitionHumansSignal TransductionTumor MicroenvironmentBone tumorCancer-associated fibroblasts (CAFs)Osteosarcoma (OS)Tumor microenvironment (TME)

Identifiers

PMID40296919
PMCPMC12033999

What OpenQuestion holds

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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.