The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study.

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY Journal of Ovarian Research Pub Date : 2025-02-17 DOI:10.1186/s13048-025-01607-4
Xingyu Liu, Ming Li, Yingjun Zhao, Xiaofei Jiao, Yang Yu, Ruyuan Li, Shaoqing Zeng, Jianhua Chi, Guanchen Ma, Yabing Huo, Zikun Peng, Jiahao Liu, Qi Zhou, Dongling Zou, Li Wang, Qingshui Li, Jing Wang, Shuzhong Yao, Youguo Chen, Ding Ma, Ting Hu, Qinglei Gao
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Abstract

Background: To investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients.

Methods: A multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were used to assess the immunonutritional status for their superior predictive power to indicate the nutritional status and the inflammatory immunity. Cox regression analyses were employed to identify variables associated with progression-free survival (PFS) and overall survival (OS).

Results: In the early-stage cohort of 224 epithelial ovarian cancer patients, the optimal cut-off value for PNI was 47.47 for both PFS and OS, while the optimal cut-off value for SII values were 551.37 for PFS and 771.78 for OS. In the late-stage group of 698 patients, the optimal PNI thresholds were 47.76 for PFS and 46.00 for OS, with SII values of 720.96 for PFS and 1686.11 for OS. In multivariate analysis of early-stage patients, high PNI was an independent protective factor for PFS (hazard ratio (HR), 0.39 (95% confidence interval (CI) 0.20-0.76), P = 0.006) and OS (HR, 0.44 (95% CI 0.20-0.97), P = 0.042), respectively. High SII was significantly associated with PFS (HR, 2.43 (95% CI 1.23-4.81), P = 0.011) and marginally unfavorable for OS (HR, 2.05 (95% CI 0.96-4.39), P = 0.064). In advanced population, PNI (HR, 0.77 (95% CI 0.60-0.99), P = 0.043) and SII (HR, 1.34 (95% CI 1.01-1.78), P = 0.041) were independent prognostic factors for OS but had no impact on PFS (P = 0.185, P = 0.188, respectively).

Conclusion: Poor preoperative immunonutritional status has a deleterious effect on the prognosis of patients with ovarian cancer. Intervention in patients suffering from suboptimal preoperative immunonutritional status may facilitate improved survival outcomes.

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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
期刊最新文献
Correlation between the follicular fluid extracellular-vesicle-derived microRNAs and signaling disturbance in the oocytes of women with polycystic ovary syndrome. The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study. Potential use of DNA methylation in cervical swabs for early ovarian cancer diagnosis. Tumour-derived exosomal miR-205 promotes ovarian cancer cell progression through M2 macrophage polarization via the PI3K/Akt/mTOR pathway. Exploring the causal associations of the gut microbiota and plasma metabolites with ovarian cancer: an approach of mendelian randomization analysis combined with network pharmacology and molecular docking.
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