BACKGROUND: The aim of present study was to investigate the role of the prognostic nutritional index (PNI) used as a prognostic marker for predicting response and survival outcomes in patients with epithelial ovarian cancer (EOC) who are receiving platinum-based chemotherapy. PATIENTS AND METHODS: Patients with a new diagnosis of EOC receiving postoperative platinum-based chemotherapy were identified. The PNI was calculated as 10 × serum albumin value (g/dl) + 0.005 × peripheral lymphocyte count (per mm3). Patients were divided into a platinum-resistant (P-R) group and a platinum-sensitive (P-S) group according to the chemotherapeutic response. A receiver operating characteristic (ROC) curve was used to calculate the optimal cut-off value for PNI to predict chemotherapeutic response and prognosis. RESULTS: A total of 344 patients were enrolled. Area under the curve, sensitivity, and specificity of PIN < 45 to predict platinum resistance were: 0.688, 62.50%, and 83.47%, respectively. Patients with a lower PNI (< 45) had shorter progression-free survival (PFS) and overall survival (OS). PNI showed a significant association with PFS (hazard ratio (HR) 1.890, 95% confidence interval (CI) 1.396-2.560; p < 0.001) and OS (HR 1.747, 95% CI 1.293-2.360; p < 0.001). CONCLUSION: Our results suggest that PNI assessment could assist the identification of patients with a poor prognosis and has potential clinical value in predicting platinum resistance in patients with EOC.
BACKGROUND: The aim of present study was to investigate the role of the prognostic nutritional index (PNI) used as a prognostic marker for predicting response and survival outcomes in patients with epithelial ovarian cancer (EOC) who are receiving platinum-based chemotherapy. PATIENTS AND METHODS: Patients with a new diagnosis of EOC receiving postoperative platinum-based chemotherapy were identified. The PNI was calculated as 10 × serum albumin value (g/dl) + 0.005 × peripheral lymphocyte count (per mm3). Patients were divided into a platinum-resistant (P-R) group and a platinum-sensitive (P-S) group according to the chemotherapeutic response. A receiver operating characteristic (ROC) curve was used to calculate the optimal cut-off value for PNI to predict chemotherapeutic response and prognosis. RESULTS: A total of 344 patients were enrolled. Area under the curve, sensitivity, and specificity of PIN < 45 to predict platinum resistance were: 0.688, 62.50%, and 83.47%, respectively. Patients with a lower PNI (< 45) had shorter progression-free survival (PFS) and overall survival (OS). PNI showed a significant association with PFS (hazard ratio (HR) 1.890, 95% confidence interval (CI) 1.396-2.560; p < 0.001) and OS (HR 1.747, 95% CI 1.293-2.360; p < 0.001). CONCLUSION: Our results suggest that PNI assessment could assist the identification of patients with a poor prognosis and has potential clinical value in predicting platinum resistance in patients with EOC.
Authors: Yakup Bozkaya; Osman Köstek; Abdullah Sakin; Deniz Tataroğlu Özyükseler; Teoman Şakalar; İbrahim Çil Journal: Support Care Cancer Date: 2019-08-30 Impact factor: 3.603