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Dataset Information

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


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

SUBMITTER: Kim N 

PROVIDER: S-EPMC12815797 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature