Genome-wide quantification of copy-number aberration impact on gene expression in ovarian high-grade serous carcinoma.

ABSTRACT: Copy-number alterations (CNAs) are a hallmark of cancer and can regulate cancer cell states via altered gene expression values. Herein, we have developed a copy-number impact (CNI) analysis method that quantifies the degree to which a gene expression value is impacted by CNAs and leveraged this analysis at the pathway level. Our results show that a high CNA is not necessarily reflected at the gene expression level, and our method is capable of detecting genes and pathways whose activity is strongly influenced by CNAs. Furthermore, the CNI analysis enables unbiased categorization of CNA categories, such as deletions and amplifications. We identified six CNI-driven pathways associated with poor treatment response in ovarian high-grade serous carcinoma (HGSC), which we found to be the most CN

SUBMITTER: Jamalzadeh S 

PROVIDER: S-EPMC10840274 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature