Individualized Prognostic Insights: CONUT-GBRS for Survival Prediction in Gallbladder Cancer

Area of Science:

• Oncology
• Surgical Oncology
• Predictive Modeling

Background:

• Prognostic prediction systems for gallbladder cancer (GBC) require further validation.
• Integrating preoperative nutritional, immune, and pathological data may improve GBC outcome prediction.

Purpose of the Study:

• To develop and validate a combined prognostic score for GBC patients undergoing curative surgery.
• To assess the score's ability to predict overall survival and disease-free survival.

Main Methods:

• Retrospective analysis of GBC patients who underwent curative surgery (2014-2022).
• Development of the CONUT-GBRS by combining the controlling nutritional status (CONUT) score and gallbladder cancer predictive risk score (GBRS).
• Comparison of clinicopathologic features and survival between high and low CONUT-GBRS groups using propensity score matching and Cox analyses.

Main Results:

• The optimal CONUT-GBRS cutoff was 1.39, dividing patients into high (n=99) and low (n=201) risk groups.
• High CONUT-GBRS was associated with significantly poorer overall and disease-free survival, independent of other factors.
• The CONUT-GBRS demonstrated prognostic value in subgroup analyses, including for incidental GBC.

Conclusions:

• The CONUT-GBRS is a simple, cost-effective prognostic tool for GBC.
• This score provides valuable insights for tailoring individualized treatment strategies to improve patient outcomes.