Risk modeling for esophageal cancer based on adaptive Lasso and Cox regression
Xiaoli Li1, Gaoyong Han2, Yudan Yang1
1Department of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Frontiers in Oncology
|August 18, 2025
Summary
International Normalized Ratio (INR) is a key predictor of survival in esophageal cancer patients after surgery. Higher INR levels correlate with better long-term outcomes, aiding in personalized treatment strategies.
Area of Science:
- Oncology
- Surgical Outcomes
- Biomarker Discovery
Background:
- Esophageal cancer (EC) is aggressive, with high rates of malnutrition impacting patient survival.
- Accurate diagnosis and risk assessment are crucial for improving survival in EC patients.
Purpose of the Study:
- To develop a risk assessment model for post-surgical EC patients.
- To identify significant prognostic factors influencing survival after esophagectomy.
Main Methods:
- Utilized Adaptive Lasso for variable selection and Cox proportional hazards regression.
- Employed Receiver Operating Characteristic (ROC) curve analysis.
- Evaluated clinical data from patients undergoing esophagectomy.
Main Results:
- International Normalized Ratio (INR) was identified as the most significant predictor of survival.
- Elevated INR levels were associated with improved 3- and 5-year survival outcomes.
- Higher INR correlated with better differentiation, infiltration, and nodal status in EC.
Conclusions:
- INR is a valuable and independent prognostic biomarker for postoperative survival in EC patients.
- Integrating INR into risk models can enhance prognostic accuracy and guide individualized treatment.
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