Identification of an RNA-Binding-Protein-Based Prognostic Model for Ewing Sarcoma

Area of Science:

• Oncology
• Molecular Biology
• Genomics

Background:

• RNA-binding proteins (RBPs) are crucial for gene expression regulation.
• RBPs play a potential role in tumorigenesis, including Ewing sarcoma (ES).

Purpose of the Study:

• To investigate the clinical significance of RBPs in Ewing sarcoma (ES).
• To identify prognostic biomarkers and develop a predictive model for ES patient outcomes.

Main Methods:

• Characterization of ES transcriptome signatures from public cohorts.
• Identification of RBP subtypes and prognostic-associated genes using Cox and Lasso regression.
• Construction and validation of an RBP-associated prognostic risk model (RPRM).
• Assessment of predictive capacity using ROC curves, Kaplan-Meier analysis, and nomograms.
• Immunohistochemistry validation for NSUN7 expression.

Main Results:

• Three distinct RBP subtypes were identified in ES.
• 29 prognostic-associated RBP genes were identified, with 10 forming the RPRM.
• The RPRM demonstrated stable predictive value for clinical risk-stratification.
• NSUN7 immunoreactivity was an independent favorable prognostic marker associated with overall survival.

Conclusions:

• RBP signatures are significantly associated with the clinical prognosis of Ewing sarcoma.
• The developed RPRM offers a valuable tool for patient risk stratification.
• Further research into RBP molecular mechanisms in ES is warranted.