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Updated: Jun 21, 2025
An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
Published on: November 28, 2010
Nomogram development for predicting ovarian tumor malignancy using inflammatory biomarker and CA-125
Gatot Nyarumenteng Adhipurnawan Winarno1, Ali Budi Harsono2, Dodi Suardi2
1Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Prof Eykman Street No 38, Bandung, 40161, Indonesia. gatot.nyarumenteng@unpad.ac.id.
This study found that elevated Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and CA-125 levels, along with lower Lymphocyte-to-Monocyte-Ratio (LMR), can help distinguish malignant from benign ovarian tumors. A nomogram model using these biomarkers improves diagnostic accuracy.
Area of Science:
- Oncology
- Biomarkers
- Diagnostic Tools
Background:
- Ovarian cancer presents global health challenges, necessitating cost-effective diagnostic methods.
- Distinguishing benign from malignant ovarian tumors preoperatively is crucial for patient management.
Purpose of the Study:
- To evaluate the efficacy of pretreatment Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte-Ratio (LMR), Platelet-to-Lymphocyte Ratio (PLR), and CA-125 in differentiating benign and malignant ovarian tumors.
- To develop nomogram models incorporating these inflammatory biomarkers and CA-125 for enhanced malignancy prediction.
Main Methods:
- A retrospective analysis of 206 ovarian tumor patients.
- Bivariate analysis to compare biomarker levels (CA-125, LMR, NLR, PLR) with histopathology.
- Multiple logistic regression analysis to identify independent risk factors and construct predictive nomograms.
Main Results:
- Malignant ovarian tumors showed significantly higher NLR, PLR, and CA-125 levels compared to benign tumors.
- Benign tumors exhibited a significantly higher LMR compared to malignant tumors.
- PLR and CA-125 were identified as independent risk factors for ovarian tumor malignancy.
Conclusions:
- NLR, PLR, CA-125, and LMR are significant indicators in diagnosing ovarian tumors.
- PLR and CA-125 are key independent risk factors for differentiating benign and malignant ovarian tumors.
- The developed nomogram model provides a practical approach to improve the diagnostic precision of ovarian tumors.
