Design and Validation of a Predictive Model for Hepatocellular Carcinoma Based on Genes With Differential Expression Driven by DNA Methylation

Key Points

• The model provides personalized prognosis predictions for hepatocellular carcinoma patients, improving treatment approaches.
• Key findings include developing predictive risk scores based on three candidate molecular drivers of growth, enhancing accuracy.
• Nomogram integration combines clinical variables with genetic expression for tailored patient assessments in hepatocellular carcinoma.
• Personalized predictions open pathways for better management of drug resistance in hepatocellular carcinoma treatment.