Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer.

ABSTRACT:

Background

Emerging evidence has highlighted the biological significance of pyroptosis in tumor tumorigenesis and progression. Nonetheless, the potential roles of pyroptosis in tumor immune microenvironment and target therapy of ovarian cancer (OC) remain unknown.

Methods

In this study, with a series of bioinformatic and machine learning approaches, we comprehensively evaluated genetic alterations and transcriptome profiles of pyroptosis-associated genes (PYAGs) with TCGA-OV datasets. Consensus molecular clustering was performed to determine pyroptosis-associated clusters (PACs) and gene clusters in OC. Subsequently, component analysis algorithm (PCA) was employed to construct Pyrsig score and a highly accurate nomogram was established to evaluate its efficacy. Meanwhile, we

SUBMITTER: Gao L 

PROVIDER: S-EPMC9883900 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature