Evidence map›Paper›PMID 40890855›Full record

ReviewJournal of experimental & clinical cancer research : CR2025

Crosstalk between heterogeneous cancer-associated fibroblast subpopulations and the immune system in breast cancer: key players and promising therapeutic targets.

Lu Liu, Weijun Wan, Yilin Chang, Luoquan Ao, Yan Xu, Xiang Xu

Abstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Modeling CAF-tumor interactions to overcome therapy resistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. A POSTNInternational journal of general medicine · 2026
    Article
  14. Article
  15. Article
  16. Terminally exhausted CD8Frontiers in immunology · 2025
    Review
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.

Lu Liu *State Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, 400010, China.
Weijun Wan *State Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, 400010, China.
Yilin ChangState Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, 400010, China.
Luoquan AoState Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, 400010, China.
Yan XuDepartment of Breast and Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, 400010, China. xy931@163.com.
Xiang XuState Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, 400010, China. Xiangxu@tmmu.edu.cn.

Funding

Chongqing Science and Technology Bureau CSTB2023NSCQ-BHX0199National Natural Science Foundation of China 82303757
6 · The paper itself

Abstract

The tumor microenvironment (TME) of breast cancer is a complex ecosystem, in which cancer-associated fibroblasts (CAFs), as the most abundant stromal cell type, meticulously construct an ecological niche that supports tumor growth through mechanisms including extracellular matrix (ECM) remodeling, secretion of bioactive factors, and interactions with neighboring cells. High-resolution technologies, including single-cell sequencing and spatial transcriptomics, have revealed the high heterogeneity, functional diversity, and spatial distribution within the CAF population. Significant differences exist in the interactions between distinct CAF subpopulations and immune cells. Through complex crosstalk with the immune system, they collaboratively establish an immunosuppressive network, becoming a core driving force for tumor immune escape. This review focuses on the latest research advances in heterogeneous subpopulations of CAFs within the breast cancer microenvironment, delves into how the complex bidirectional crosstalk between different CAF subpopulations and immune cells collaboratively shapes the tumor immune microenvironment (TIME), and summarizes various CAF-based therapeutic strategies for breast cancer, aiming to provide critical theoretical basis and novel therapeutic perspectives for the clinical translation of CAF heterogeneity research.

Indexed as

Breast NeoplasmsCancer-Associated FibroblastsImmune SystemAnimalsFemaleHumansTumor MicroenvironmentBreast cancerCancer-associated fibroblastsHeterogeneityTherapeutic strategiesTumor microenvironment

Identifiers

PMID40890855
PMCPMC12400774

What OpenQuestion holds

Textmetadata
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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.