Evidence map›Paper›PMID 35237507›Full record

ReviewFrontiers in oncology2022

Tumor-Associated Macrophages: Key Players in Triple-Negative Breast Cancer.

Xia Qiu, Tianjiao Zhao, Ran Luo, Ran Qiu, Zhaoming Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. A FABulous approach to image human macrophages.European journal of nuclear medicine and molecular imaging · 2026
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  11. LHPP expression in triple-negative breast cancer promotes tumor growth and metastasis by modulating the tumor microenvironment.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

5 authors at 2 institutions in 1 country.

Xia QiuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tianjiao ZhaoDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ran LuoDepartment of Cell Biology, Wuhan Institute of Bioengineering, Wuhan, China.
Ran QiuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhaoming LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNWuhan Institute of Bioengineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) refers to the subtype of breast cancer which is negative for ER, PR, and HER-2 receptors. Tumor-associated macrophages (TAMs) refer to the leukocyte infiltrating tumor, derived from circulating blood mononuclear cells and differentiating into macrophages after exuding tissues. TAMs are divided into typical activated M1 subtype and alternately activated M2 subtype, which have different expressions of receptors, cytokines and chemokines. M1 is characterized by expressing a large amount of inducible nitric oxide synthase and TNF-α, and exert anti-tumor activity by promoting pro-inflammatory and immune responses. M2 usually expresses Arginase 1 and high levels of cytokines, growth factors and proteases to support their carcinogenic function. Recent studies demonstrate that TAMs participate in the process of TNBC from occurrence to metastasis, and might serve as potential biomarkers for prognosis prediction.

Indexed as

ERHER-2PRTAMsTNBC

Identifiers

PMID35237507
PMCPMC8882594
OpenAlexW4212778011

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.