A prognostic nomogram that includes MPV in esophageal squamous cell carcinoma

Area of Science:

• Oncology
• Hematology
• Biostatistics

Background:

• Mean platelet volume (MPV) is a recognized prognostic biomarker in various cancers.
• Esophageal squamous cell carcinoma (ESCC) prognosis can be improved with better predictive tools.

Purpose of the Study:

• To develop and validate a prognostic nomogram for overall survival (OS) in ESCC patients.
• To assess the utility of MPV as a predictor of OS in ESCC.

Main Methods:

• A retrospective cohort of 1893 ESCC patients was divided into training and testing sets.
• LASSO-cox, univariate, and multivariate cox regression analyses identified prognostic variables.
• A nomogram was constructed and validated using decision curve analysis (DCA).

Main Results:

• Age, MPV, nerve invasion, T stage, and N stage were identified as independent prognostic factors.
• The nomogram showed good predictive accuracy for 1-, 3-, and 5-year OS in both cohorts.
• The nomogram outperformed AJCC 8th and conventional staging systems.

Conclusions:

• A novel nomogram incorporating MPV and clinicopathological markers enhances OS prediction accuracy in ESCC.
• This tool offers a more precise prognostic assessment for ESCC patients.