Glycosylation‐Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning

Abstract excerpt

Background: Ovarian cancer (OC) is a malignancy exhibiting high mortality in female tumors. Glycosylation is a posttranslational modification of proteins but research has failed to demonstrate a systematic link between glycosylation-related signatures and tumor environment of OC. Purpose: This study is aimed at developing a novel model with glycosylation-related messenger RNAs (GRmRNAs) to predict the prognosis...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Clusterin in disease pathology
• Share to Ferroptosis and cancer prognosis
• Share to Glycosylation and Glycoproteins Research