The Prognostic Model of Pre-Treatment Complete Blood Count (CBC) for Recurrence in Early Cervical Cancer

Area of Science:

• Oncology
• Hematology
• Gynecologic Oncology

Background:

• Early-stage cervical cancer prognosis traditionally relies on clinical factors.
• Identifying novel, accessible biomarkers for survival prediction is crucial.

Purpose of the Study:

• To evaluate the prognostic value of pre-treatment complete blood count (CBC) profiles in predicting survival, recurrence, and death in early cervical cancer.
• To assess if CBC profiles improve risk stratification compared to conventional methods.

Main Methods:

• Retrospective review of pre-treatment CBC data from 1443 patients with early-stage cervical cancer across nine South Korean centers.
• Development of statistical models using Akaike's Information Criterion (AIC) to calculate risk scores based on CBC parameters.
• Comparison of predictive accuracy between models incorporating CBC profiles and those using conventional clinical factors alone.

Main Results:

• Univariate analyses revealed significant associations between white blood cell (WBC), hemoglobin, neutrophil, and platelet levels and clinical outcomes.
• Models integrating CBC profiles demonstrated superior predictive performance for clinical outcomes compared to models solely based on conventional factors.
• Pre-treatment levels of WBC, hemoglobin, neutrophil, lymphocyte, and platelet counts emerged as potential prognostic biomarkers.

Conclusions:

• Pre-treatment CBC profiles serve as valuable and accessible biomarkers for predicting survival in early-stage cervical cancer.
• Incorporating CBC parameters into prognostic models enhances the accuracy of risk assessment for patients with early cervical cancer.