What question did this study set out to answer?

To develop and validate a nomogram that predicts survival in cervical squamous cell carcinoma patients using inflammatory biomarkers and clinical factors.

March 10, 2026BMC Cancer1 citationsOpen Access

Prognostic prediction in primary cervical squamous cell carcinoma with serum squamous cell carcinoma antigen ≥ 10 ng/mL: development and validation of a nomogram model based on inflammatory biomarkers and clinical factors

YZYiwei ZhaoHarbin Medical University CZChutong ZhaoHarbin Medical University YLYujie LiuHarbin Medical University

Key Points

To develop and validate a nomogram that predicts survival in cervical squamous cell carcinoma patients using inflammatory biomarkers and clinical factors.
Developed a nomogram integrating inflammation-related hematological indices with clinical parameters.
Validated the model on a separate cohort to assess predictive accuracy.
Considered patients with serum squamous cell carcinoma antigen ≥ 10 ng/mL as high-risk.
The nomogram demonstrated favorable predictive accuracy for patient survival.
The integration of inflammatory biomarkers improved the model's clinical utility.
Results support the potential for individualized treatment strategies.

Abstract

This study developed and validated a clinically useful nomogram integrating inflammation-related hematological indices and clinical parameters to predict survival in high-risk cervical cancer patients. The model demonstrates favorable predictive accuracy and may guide individualized treatment strategies, supporting its potential for clinical application.

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