Integrating multi-omics data to optimize immunotherapy in endometrial cancer: a comprehensive study.

ABSTRACT: Immunotherapy represents a pivotal therapeutic modality in endometrial cancer (EC). Nevertheless, the efficacy of this treatment is limited to a subset of patients. The present investigation endeavors to amalgamate multi-omics data in order to elucidate the determinants impacting individual immune responsiveness and enhance the optimization of immunotherapy for EC. To differentiate EC patients into non-response (NR) and response (R), multi-omics data from publicly available databases were employed in conjunction with the TIDE computational framework. The validity of these findings was further confirmed through the utilization of the EaSIeR and ImmunoPhenoScore algorithms. The study employed functional enrichment and gene set variant analysis to discern noteworthy disparities in biological

SUBMITTER: Guan X 

PROVIDER: S-EPMC12181619 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature