Evidence map›Paper›PMID 41097701›Full record

ReviewCancers2025

Regulatory T Cells in Invasive Breast Cancer: Prognosis, Mechanisms and Therapy.

Aizhang Xu, Sama Ayoub, Haijun Zhang, Yuhang Wu, Marcellino Rau, Xiaojing Ma

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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.

Aizhang XuDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY 10021, USA.
Sama AyoubWeill Cornell Medicine-Qatar, Doha 24144, Qatar.ORCID 0000-0002-3452-3366
Haijun ZhangDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY 10021, USA.
Yuhang WuMiddlebury College, Middlebury, VT 05753, USA.ORCID 0009-0004-9335-4488
Marcellino RauJohn Jay College of Criminal Justice, New York, NY 10019, USA.ORCID 0009-0005-6772-952X
Xiaojing MaDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-3043-1840

Funding

National Institutes of Health of United States 1 R01 CA273716-01A1
6 · The paper itself

Abstract

Regulatory T cells (Tregs) are a specialized subset of CD4+ T lymphocytes essential for maintaining immune tolerance and preventing autoimmunity. However, in breast cancer, tumors exploit Tregs to establish an immunosuppressive microenvironment that enables immune evasion, accelerates progression, and contributes to therapeutic resistance. This review synthesizes current evidence on the role of Tregs in invasive breast cancer (IBC), highlighting their prognostic significance across molecular subtypes, mechanisms of immune suppression, and impact on treatment response. We integrated mechanistic and clinical insights to discuss opportunities for Treg-targeted therapeutic strategies, with attention paid to challenges such as autoimmunity, compensatory resistance, and subtype-specific heterogeneity. Finally, we outline future directions, including biomarker-driven precision medicine, novel therapeutic combinations, advanced preclinical models, as well as potential artificial intelligence-assisted approaches that aim to selectively disrupt tumor-promoting Treg functions while preserving the systemic immune balance.

Indexed as

Artificial Intelligencecancer immunologycheckpoint inhibitorsFoxP3HER2-positive breast cancerhormone receptor-positive breast cancerimmune evasionimmunosuppressionimmunotherapyinvasive breast cancermetastasisprognosisRegulatory T cells (Tregs)triple-negative breast cancer (TNBC)tumor-infiltrating lymphocytes (TILs)tumor microenvironment (TME)

Identifiers

PMID41097701
PMCPMC12524184

What OpenQuestion holds

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LicenceCC BY
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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.