Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.

ABSTRACT:

Background

Ovarian cancer (OC) is one of the most common and most malignant gynecological malignancies in gynecology. On the other hand, dysregulation of copper metabolism (CM) is closely associated with tumourigenesis and progression. Here, we investigated the impact of genes associated with copper metabolism (CMRGs) on the prognosis of OC, discovered various CM clusters, and built a risk model to evaluate patient prognosis, immunological features, and therapy response.

Methods

15 CMRGs affecting the prognosis of OC patients were identified in The Cancer Genome Atlas (TCGA). Consensus Clustering was used to identify two CM clusters. lasso-cox methods were used to establish the copper metabolism-related gene prognostic signature (CMRGPS) based on differentially expressed gen

SUBMITTER: Zhao S 

PROVIDER: S-EPMC10025496 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature