Evidence map›Paper›PMID 42621449›Full record

ReviewFrontiers in immunology2026

The chemokine network in triple-negative breast cancer: its role in immune microenvironment regulation, and prospects for targeted therapy.

Wanyu Wang, Linhua Chen, Wei Guo, Min Hu, Xuemei Han, Xuan Xia, Wanbin Xu, Wanjun Ma

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Wanyu Wang *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Linhua Chen *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei GuoDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Min HuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuemei HanDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuan XiaDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wanbin XuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wanjun MaDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is characterized by high metastatic potential, frequent recurrence and limited targeted regimens. The chemokine network acts as a central orchestrator, reshaping its tumor immune microenvironment (TIME) and determining therapeutic responsiveness. Yet its clinical translation remains hindered by network complexity and insufficient patient stratification. In this review, we systematically synthesize current evidence on how chemokine networks regulate key TIME component (macrophages, T cells, cancer-associated fibroblasts, myeloid-derived suppressor cells, and cancer stem cells) to drive TNBC progression, metastasis, and therapeutic resistance. We also critically evaluate chemokine-targeted interventions, spanning preclinical candidates (small-molecule inhibitors, monoclonal antibodies, miRNA-based therapies, natural products, and nanocarrier systems) to clinical-stage agents. A critical gap emerges from this evaluation: although numerous chemokine axes demonstrate robust preclinical efficacy, most clinical trials have yielded negative or marginal results. These failures are largely attributable to target redundancy, the absence of subtype-specific biomarkers, and suboptimal combination strategies. Based on recent research advances, we propose a three-pillar framework for future therapeutic success: precision subtyping-guided target selection, rational combination regimens (particularly with immune checkpoint inhibitors), and iterative biomarker validation. Overall, this review provides a roadmap for navigating chemokine network complexity, distilling actionable insights for clinical translation, and defining priority research directions to overcome current bottlenecks in TNBC chemokine-targeted therapy.

Indexed as

ChemokinesTriple Negative Breast NeoplasmsTumor MicroenvironmentAnimalsHumansMolecular Targeted TherapyReceptors, ChemokineChemokinesReceptors, Chemokinechemokinemetastasistargeted therapytriple-negative breast cancertumor immune microenvironment

Identifiers

PMID42621449
PMCPMC13487753

What Socratic holds

Textmetadata
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 Socratic graph.