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Development and validation of a risk prediction model for lymph node metastasis in stage IA2-IIA1 cervical cancer based on laboratory parameters

  • 0Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University Taiyuan 030000, Shanxi, China.
American Journal of Cancer Research +

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April 14, 2025

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April 14, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

A new risk model using lab tests accurately predicts lymph node metastasis in cervical cancer (CC) patients. This tool aids in personalized treatment and reduces unnecessary interventions for stage IA2-IIA1 CC.

Area Of Science

  • Oncology
  • Gynecologic Oncology
  • Cancer Biomarkers

Background

  • Lymph node metastasis (LNM) is a critical prognostic factor in cervical cancer (CC).
  • Accurate preoperative risk assessment for LNM is essential for personalized treatment planning in early-stage CC.
  • Current methods may not fully capture the risk of LNM in specific early stages.

Purpose Of The Study

  • To develop and validate a predictive model for LNM in stage IA2-IIA1 CC.
  • To utilize readily available laboratory parameters for preoperative risk stratification.
  • To enhance clinical decision-making and optimize treatment strategies.

Main Methods

  • Retrospective analysis of 624 patients with stage IA2-IIA1 CC (2017-2023).
  • Inclusion of laboratory markers: squamous cell carcinoma antigen (SCC-Ag), CEA, CA125, PLT, FIB, and CRP.
  • Model development using LASSO regression and validation via ROC, DCA, and calibration curves.

Main Results

  • SCC-Ag, CEA, CA125, PLT, FIB, and CRP were significant predictors of LNM.
  • The developed model demonstrated high predictive accuracy (AUC 0.969 training, 0.942 validation).
  • The model showed excellent generalizability and clinical utility across various risk thresholds.

Conclusions

  • A novel, reliable risk prediction model for LNM in early-stage CC has been developed using laboratory parameters.
  • This model offers a practical approach for preoperative risk assessment in stage IA2-IIA1 CC.
  • The tool supports personalized treatment planning and can help avoid overtreatment.

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