An Immune-Related Gene-Based Signature as Prognostic Tool in Ovarian Serous Cystadenocarcinoma.

ABSTRACT:

Background

Ovarian serous cystadenocarcinoma (OSCC) is a life-threatening malignancy with poor prognosis. Therefore, the identification of immune-related genes associated with OSCC prognosis may reveal new targets of immunotherapy for OSCC.

Patients and methods

The gene expression profiles of overlapped genes were extracted by weighted gene co-expression network analysis (WGCNA) to identify immune-related modules. Significant genes were identified by univariate Cox regression analysis of model genes. Model characteristic genes were obtained by least absolute shrinkage and selection operator (LASSO) analysis and used to calculate a "signature index". The model's ability to predict prognosis in OSCC patients was assessed using time-dependent receiver operator characteristic cu

SUBMITTER: Shi F 

PROVIDER: S-EPMC8331220 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature