Evidence map›Paper›PMID 40649751›Full record

ReviewInternational journal of molecular sciences2025

Tumor-Associated Macrophage in Breast Tumor Microenvironment.

Lingyao Ma, Yuexinzi Jin, Jian Xu, Jiexin Zhang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. 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

4 authors.

Lingyao MaDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Yuexinzi JinDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jian XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jiexin ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID 0000-0003-1407-7562

Funding

the Jiangsu Province Capability Improvement Project through Science, Technology and Education ZDXK202239the National Natural Science Foundation of China 81501817the National Natural Science Foundation of China 82202610
6 · The paper itself

Abstract

Breast cancer (BC) is the most common cancer in women worldwide. It is one of the main causes of cancer-related mortality. The breast tumor microenvironment (Br-TME) has emerged as an important factor related to BC development and prognosis. Tumor-associated macrophages (TAMs) are the main effector cells in the Br-TME; they play key roles in regulating angiogenesis, immunosuppression, metastasis, and chemoresistance in BC patients. In this review, we introduce the macrophage niche in the Br-TME, particularly emphasizing the origin of TAMs. Next, we summarize the typical pathways and molecular mechanisms of the interactions between TAMs and various other components in the Br-TME. Finally, we provide an overview of drugs that target TAMs and discuss the prevailing technologies for drug delivery in the context of BC treatment. Identification of the dynamic variations in tumor-promoting TAMs will help reveal the key links that drive BC progression. This review provides a theoretical basis for upcoming clinical trials that may substantially benefit patients.

Indexed as

Breast NeoplasmsTumor-Associated MacrophagesTumor MicroenvironmentAnimalsFemaleHumansNeovascularization, Pathologicbreast cancernanodrug delivery systemtumor-associated macrophagetumor microenvironment

Identifiers

PMID40649751
PMCPMC12250111

What OpenQuestion holds

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Registered trials

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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.