Conditional survival nomogram for patients with colon mucinous adenocarcinoma to predict prognosis: a dynamic...

Area of Science:

• Oncology
• Biostatistics
• Cancer Research

Background:

• Colon mucinous adenocarcinoma (MAC) survival rates require dynamic assessment beyond initial diagnosis.
• Traditional survival analysis may not accurately reflect long-term prognosis for individual patients.
• Conditional survival provides a more personalized and adaptive approach to estimating patient outcomes.

Purpose of the Study:

• To assess conditional survival (CS) for colon MAC patients.
• To develop nomograms for predicting conditional disease-free survival (DFS) and overall survival (OS).
• To identify prognostic factors influencing conditional survival in colon MAC.

Main Methods:

• Survival analysis using the conditional survival formula: CS (y|x) = S(x+y)/S(x).
• Cox regression analyses to identify significant prognostic factors.
• Construction of nomograms to predict 5-year conditional DFS and OS based on years survived post-surgery.

Main Results:

• The 5-year DFS was 67% and 5-year OS was 73% post-surgery.
• Conditional survival probabilities increased significantly with each additional year survived (e.g., 5-year OS rose from 73% to 92% after 4 years).
• Prognostic factors like pT stage, pN stage, and lymphovascular invasion impacted DFS and OS; conditional survival benefits were more pronounced in advanced stages.

Conclusions:

• Conditional survival provides a dynamic and more accurate survival probability for colon MAC patients.
• The developed nomograms effectively predict conditional DFS and OS, particularly for advanced stage patients.
• Incorporating time already survived enhances the precision of survival prediction in colon MAC.