A disulfidptosis-related lncRNAs cluster to forecast the prognosis and immune landscapes of ovarian cancer.

ABSTRACT:

Objective

Disulfidptosis is a newly recognized form of regulated cell death that has been linked to cancer progression and prognosis. Despite this association, the prognostic significance, immunological characteristics and treatment response of disulfidptosis-related lncRNAs (DRLs) in ovarian cancer have not yet been elucidated.

Methods

The lncRNA data and clinical information for ovarian cancer and normal samples were obtained from the UCSC XENA. Differential expression analysis and Pearson analysis were utilized to identify core DRLs, followed by LASSO algorithm. Random Survival Forest was used to construct a prognostic model. The relationships between risk scores, RNA methylation, immune cell infiltration, mutation, responses to immunotherapy and drug sensitivity analysis

SUBMITTER: Wei J 

PROVIDER: S-EPMC11263023 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature