Evidence mapPaperPMID 42246166Full record

ReviewMolecular medicine reports2026

Targeting regulatory T cells in the prostate cancer microenvironment: From mechanisms to therapeutics (Review).

Hua Luo

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Hua LuoDepartment of Urology, Deyang Hospital of Sichuan Provincial People's Hospital, Deyang, Sichuan 618000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is a heterogeneous cancer. Regulatory T cells (Tregs) within the tumor microenvironment play a pivotal role in promoting immune evasion and disease progression. This review systematically outlines the development, functional characteristics and regulatory networks of Tregs in this environment. Synthesis of recent spatial transcriptomic and single‑cell RNA‑sequencing data revealed that the functional heterogeneity and spatial distribution of Tregs within the tumor stroma, rather than their absolute abundance alone, are critical determinants of immune evasion. For instance, a high stromal density of Tregs is associated with a >2‑fold increased risk of biochemical recurrence, and an activated, highly suppressive Treg subset predominates in high‑Gleason score tumors. The impact of current and emerging therapeutic strategies, including monoclonal antibody‑based and combination immunotherapies, on Treg function, was critically evaluated. The present analysis indicates that while anti‑cytotoxic T‑lymphocyte‑associated protein (CTLA)‑4 monotherapy has failed to show a survival benefit in Phase III trials for metastatic castration‑resistant PCa, fragment crystallizable‑enhanced anti‑CTLA‑4 antibodies achieve up to 50% intratumoral Treg depletion in preclinical models. The rationale for targeting specific Treg subsets was highlighted, such as C‑C motif chemokine receptor 4+ and glycoprotein‑A repetitions predominant+ and integrating Treg‑directed approaches with androgen deprivation therapy (ADT) or radiotherapy to mitigate treatment‑induced Treg expansion (e.g., ADT can increase intratumoral Tregs by 30‑40%). Existing challenges and prospects for the clinical translation of Treg‑targeting approaches were also discussed, emphasizing the need for patient stratification guided by Treg‑related biomarkers.

Indexed as

Prostatic NeoplasmsT-Lymphocytes, RegulatoryTumor MicroenvironmentAnimalsHumansImmunotherapyMaleimmune evasionimmunotherapyprostate cancerregulatory T cellstherapeutic targetstumor microenvironment

Identifiers

PMID42246166
PMCPMC13261333

What Socratic 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 Socratic graph.