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Corresponding Author

Asmaa F. Elfayoumey

Subject Area

Hematology and oncology

Article Type

Original Study

Abstract

Background: The prognosis of patients with advanced-stage epithelial ovarian cancer (EOC) having debulking surgery is greatly influenced by optimal resection. Neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and CA-125 values are examples of inflammatory markers that have been identified as possible predictive markers.

Objective: This study evaluated neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and CA-125 dynamics as predictors of surgical outcomes and survival in advanced ovarian cancer patients receiving neoadjuvant chemotherapy (NACT).

Methods: We conducted a retrospective analysis of 171 patients treated at Mansoura University (2020-2025) with platinum-taxane neoadjuvant chemotherapy followed by interval debulking surgery (IDS). Pre- and post-neoadjuvant chemotherapy inflammatory markers (neutrophil lymphocyte ratio, platelet lymphocyte ratio, eosinophil lymphocyte ratio [ELR], monocyte lymphocyte ratio [MLR]) and CA-125 levels were assessed. Surgical outcomes were classified as optimal (residual disease ≤1 cm) or suboptimal resection.

Results: Among 171 patients, optimal cytoreduction was achieved in 78.7% of patients. Significant changes in NLR, PLR, and CA-125 were observed after NACT (p < 0.001). High-grade serous histology and the number of neoadjuvant chemotherapy (NACT) cycles were independent factors associated with optimal resection. Progression-free survival (PFS) was independently predicted by changes in CA125 and MLR following NACT. While overall survival is strongly predicted by optimal resection.

Conclusion: Neutrophil lymphocyte ratio and platelet lymphocyte ratio are accessible biomarkers for predicting surgical outcomes after neoadjuvant chemotherapy, while CA-125 kinetics and monocyte lymphocyte ratio may inform survival prognostication. These findings support the integration of inflammatory markers into clinical decision-making for advanced ovarian cancer.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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