Evidence map›Paper›PMID 35481621›Full record

ReviewCancer communications (London, England)2022

Cancer-associated fibroblasts in breast cancer: Challenges and opportunities.

Dengdi Hu, Zhaoqing Li, Bin Zheng, Xixi Lin, Yuehong Pan, Peirong Gong, Wenying Zhuo, Yujie Hu, Cong Chen, Lini Chen and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancer communications (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 3 pooled it
24.9field-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

182 citing papers in PubMed, 3 syntheses or guidelines pooled it, 250 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Dual-Target Nectin-4/FAP Heterobivalent ProbeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Diagnostic Performance ofNPJ breast cancer · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

122 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

12 authors at 2 institutions in 1 country.

Dengdi HuAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Zhaoqing LiAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.
Bin ZhengAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Xixi LinAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.
Yuehong PanAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Peirong GongAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Wenying ZhuoAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Yujie HuAffiliated Cixi Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315300, P. R. China.
Cong ChenAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.
Lini ChenAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.
Jichun ZhouAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.
Linbo WangAffiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Key Laboratory of Cancer Prevention and Intervention, Ministry of Education), Hangzhou, Zhejiang, 310016, P. R. China.ORCID 0000-0003-0526-1990
Sir Run Run Shaw Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is proposed to contribute substantially to the progression of cancers, including breast cancer. Cancer-associated fibroblasts (CAFs) are the most abundant components of the tumor microenvironment. Studies have revealed that CAFs in breast cancer originate from several types of cells and promote breast cancer malignancy by secreting factors, generating exosomes, releasing nutrients, reshaping the extracellular matrix, and suppressing the function of immune cells. CAFs are also becoming therapeutic targets for breast cancer due to their specific distribution in tumors and their unique biomarkers. Agents interrupting the effect of CAFs on surrounding cells have been developed and applied in clinical trials. Here, we reviewed studies examining the heterogeneity of CAFs in breast cancer and expression patterns of CAF markers in different subtypes of breast cancer. We hope that summarizing CAF-related studies from a historical perspective will help to accelerate the development of CAF-targeted therapeutic strategies for breast cancer.

Indexed as

Breast NeoplasmsCancer-Associated FibroblastsFemaleHumansTumor Microenvironmentbiomarkerbreast cancerCancer-associated fibroblaststherapeutic targettumor heterogeneitytumor microenvironment

Identifiers

PMID35481621
PMCPMC9118050
OpenAlexW4225001891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.