A Prognostic Nomogram Based on an Immunogenic Cell Death and Endoplasmic Reticulum Stress-Related Gene Signature for...

Area of Science:

• Oncology
• Molecular Biology
• Biomarker Discovery

Background:

• Gene signatures are more powerful prognostic tools than single-gene biomarkers.
• Ovarian cancer (OC) prognosis and survival prediction require improved methods.

Purpose of the Study:

• To develop a nomogram for predicting overall survival (OS) in ovarian cancer patients.
• The nomogram is based on a gene signature related to immunogenic cell death (ICD) and endoplasmic reticulum (ER) stress.

Main Methods:

• Identified ICD- and ER stress-related genes from public datasets.
• Screened candidate genes using differential expression and survival analyses.
• Developed a prognostic risk score using Cox and LASSO regression, validated with Kaplan-Meier and multivariate analyses.

Main Results:

• A seven-gene signature for ICD and ER stress was established, generating a prognostic risk score.
• Low-risk patients demonstrated significantly longer OS than high-risk patients.
• The signature served as an independent prognostic factor for OS, with good predictive performance (AUCs 0.60-0.67).

Conclusions:

• A clinically applicable nomogram integrating a seven-gene ICD/ER stress signature was developed for individualized OC patient survival prediction.
• This nomogram can assist clinicians in risk stratification and personalized treatment strategies for ovarian cancer.