Prognostic value of PNI combined with serum PRX3 in patients with advanced high-grade serous ovarian cancer
10.3760/cma.j.cn115807-20250428-00114
- VernacularTitle:PNI联合血清PRX3水平对晚期高级别浆液性卵巢癌患者预后的预测价值
- Author:
Huamei LI
1
;
Yanyan JIN
;
Qingyun MENG
;
Lihua PAN
Author Information
1. 济宁医学院附属医院妇科，济宁 272100
- Publication Type:Journal Article
- Keywords:
Ovarian cancer;
Advanced high-grade serous ovarian cancer;
Prognostic nutritional index;
Peroxiredoxin 3
- From:
Chinese Journal of Endocrine Surgery
2025;19(3):424-428
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the predictive value of prognostic nutritional index (PNI) combined with serum peroxiredoxin 3 (PRX3) level for the prognosis of patients with advanced high-grade serous ovarian cancer (HGSOC) .Methods:A total of 103 patients with advanced HGSOC admitted to Affiliated Hospital of Jining Medical University from Jan. 2020 to Dec. 2022 were retrospectively selected and included in the study. Serum albumin (Alb), PRX3 levels and peripheral blood lymphocyte count (LY) levels were measured. The patients were followed up for 2 years, and they were divided into good prognosis group (70 cases) and poor prognosis group (33 cases). Multivariate stepwise Logistic regression analysis was used to analyze the prognostic factors. The receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of PNI combined with PRX3 on prognosis.Results:The age, proportion of postoperative residual lesions, proportion of lymph node metastasis, proportion of stage Ⅲ, and PRX3 level in the poor prognosis group were higher than those in the good prognosis group, and the PNI level was lower than that in the good prognosis group ( P<0.05). Multivariate Logistic regression analysis showed that postoperative residual lesions ( OR=2.731, 95% CI: 1.562-4.774), clinical stage ( OR=3.526, 95% CI: 1.503-8.271), PNI level ( OR=0.148, 95% CI: 1.503-8.271) 0.057-0.387) and PRX3 level ( OR=4.011, 95% CI: 1.972-8.154) were independent influencing factors for the prognosis of patients ( P<0.05). ROC curve analysis showed that the area under the curve (AUC) of PNI, PRX3 and their combination for predicting the prognosis of advanced HGSOC patients were 0.807, 0.781 and 0.874, respectively ( P<0.05). The survival curve of patients with high PNI and PRX3 levels was different from that of patients with low PNI and PRX3 levels ( P<0.05) . Conclusion:PNI and PRX3 are independent prognostic factors for advanced HGSOC patients, and the combination of PNI and PRX3 has a better prognostic value in patients with advanced HGSOC.
