Evidence map›Paper›PMID 41568381›Full record

ArticleFrontiers in oncology2025

Integrative multi-omics stratification and translational evaluation of Treg-targeted combination immunotherapy in breast cancer.

Nari Kim, Seongwon Na, Hyo Jin Lee, Woojin Yi, Ga Won Son, Jin Park, Jisung Jang, Mihyun Kim, Seong-Yun Jeong, Kyung Won Kim

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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. 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

10 authors.

Nari Kim *Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Seongwon Na *Departments of Radiology and Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
Hyo Jin LeeAsan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Woojin YiAsan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Ga Won SonAsan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Jin ParkAsan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Jisung JangTrial Informatics Inc., Seoul, Republic of Korea.
Mihyun KimTrial Informatics Inc., Seoul, Republic of Korea.
Seong-Yun JeongAsan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Kyung Won KimBiomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunosuppressive breast cancer subtypes driven by regulatory T cells (Tregs) remain under-characterized, limiting precise identification of patients who may benefit from immunomodulatory therapies. Tregs are key mediators of immunosuppression within the tumor microenvironment (TME) and are closely associated with resistance to immune checkpoint inhibitors (ICIs). Therefore, defining and characterizing tumors with predominant Treg-mediated immunosuppression is essential for optimizing the use of Treg-targeted and combination immunotherapies. Methods: We applied an unsupervised multi-omics integration approach across four molecular layers - mRNA, miRNA, DNA methylation, and proteomics -to identify immunologically distinct subtypes of breast cancer. Autoencoder-based dimensionality reduction followed by consensus clustering revealed a subgroup characterized by high Treg infiltration and immunosuppressive signaling, referred to as the Treg-enriched subtype. To evaluate therapeutic strategies, we employed a spatial quantitative systems pharmacology (spQSP) model simulating tumor-immune dynamics and tested Treg-targeted and PD-1 blockade therapies both alone and in combination. Results: The C2 cluster exhibited elevated Treg-related signatures and a highly immunosuppressive tumor microenvironment. A similar Treg-enriched cluster was also identified in an independent cohort, supporting the robustness and clinical relevance of this immunosuppressive subtype. In-silico simulations performed under a C2-like, immunosuppressive context predicted that combining Treg-targeted therapy with PD-1 blockade would substantially enhance immune activation and tumor control compared with monotherapy. To experimentally validate these predictions, combination treatment of a CCR8 inhibitor (IPG7236) and anti-PD-L1 antibody demonstrated greater tumor growth inhibition than either monotherapy in the EMT6 model, confirming the predicted therapeutic synergy in Treg-enriched, immune-suppressive tumors. Conclusion: This study identifies Treg-enriched and immunosuppressive breast cancer subtype through integrative multi-omics analysis and demonstrates, through both in-silico and

Indexed as

breast cancerimmunosuppressive tumormicroenvironmentmulti-omicspatient stratificationregulatory T cells (Tregs)translational oncology

Identifiers

PMID41568381
PMCPMC12815797

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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.