Integrative Prognostic Value of Inflammatory Markers and KELIM Score in Ovarian Cancer Patients Treated With Neoadjuvant Chemotherapy.
Integrative Prognostic Value of Inflammatory Markers and KELIM Score in Ovarian Cancer Patients Treated With Neoadjuvant Chemotherapy.
This is a retrospective observational study to evaluate the integrative prognostic value of inflammatory markers, specifically the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), alongside the CA-125 Elimination rate constant K (KELIM) score in advanced ovarian cancer patients. The study includes patients with advanced serous ovarian cancer (stage III or IV) who received neoadjuvant platinum-based chemotherapy followed by interval debulking surgery at Sohag University Hospital and Sohag Cancer Center between 2022 and 2025. The primary objective is to evaluate how well these biomarkers predict survival outcomes, including progression-free survival (PFS) and overall survival (OS). Additionally, the study aims to assess their significance in predicting the success of complete versus incomplete cytoreductive surgery following neoadjuvant chemotherapy.
Inclusion Criteria:
Patients who received platinum-based neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) at Sohag University Hospital or Sohag Cancer Center between 2022 and 2025.
Available complete medical records, including pre-treatment baseline CBC (for NLR and PLR calculation) and longitudinal CA-125 levels (for KELIM score estimation).
Exclusion Criteria:
Patients with non-epithelial ovarian tumors (e.g., germ cell tumors, sex cord-stromal tumors).
Patients who underwent primary debulking surgery (PDS) before receiving chemotherapy.
Patients with concurrent active malignancies or a history of other cancers within the past 5 years.
Patients with active systemic inflammatory diseases, hematological disorders, or severe infections at baseline that could interfere with baseline inflammatory markers (NLR/PLR).
Incomplete or missing clinical, surgical, or follow-up data.
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