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

TL;DR
This study identifies a breast cancer subtype dominated by Tregs and shows that combining Treg-targeted and PD-L1 therapies improves tumor control.
Contribution
Novel integrative multi-omics approach identifies a Treg-enriched breast cancer subtype and validates combination immunotherapy efficacy.
Findings
A Treg-enriched breast cancer subtype was identified through multi-omics integration.
Combining Treg-targeted therapy with PD-L1 blockade showed enhanced tumor control in preclinical models.
The Treg-enriched subtype was associated with immunosuppressive tumor microenvironments.
Abstract
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. 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…
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Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Ferroptosis and cancer prognosis · vaccines and immunoinformatics approaches
