A novel method for endometrial cancer patient stratification considering ARID1A protein expression and activity with effective use of multi-omics data.

ABSTRACT: AT-rich interactive domain-containing protein 1A (ARID1A) is frequently mutated in endometrial cancers. Although patient stratification based on mutations or mRNA expression is commonly performed, this approach may not accurately reflect the functional state of ARID1A. This functional state is not only directly reflected in upstream events such as gene expression but also influenced by various regulatory including protein expression and the presence and type of mutations. Although protein expression is more directly correlated with phenotypic outcomes, integrating different omics data remains challenging due to disparities in data availability. To address this challenge, we developed a novel patient stratification method that integrates proteomics and transcriptomics to assess the function

SUBMITTER: Song J 

PROVIDER: S-EPMC12212153 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature