Unknown

Dataset Information

Development of a novel centrosome-related risk signature to predict prognosis and treatment response in lung adenocarcinoma.


ABSTRACT:

Background

Abnormalities of centrosomes, the major microtubular organizing centers of animal cells and regulators of cell cycle progression, usually accelerate tumor progression, but their prognostic value in lung adenocarcinoma (LUAD) remains insufficiently explored.

Methods

We collected centrosome genes from the literature and identified LUAD-specific centrosome-related genes (CRGs) using the single-sample gene set enrichment analysis (ssGSEA) algorithm and weighted gene co-expression network analysis (WGCNA). Univariate Cox was performed to screen prognostic CRGs. Consistent clustering was performed to classify LUAD patients into two subgroups, and centrosome-related risk score signatures were constructed by Lasso and multivariate Cox regression to predict overall surviva

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11599701 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature