Work

Dynamic changes in prognostic nutritional index and systemic immune-inflammation index predict survival following debulking surgery in ovarian cancer

Year: 2026

Type: article

Abstract: Background: Ovarian cancer remains the most lethal gynecologic malignancy. Increasing evidence suggests that host immunonutritional status and systemic inflammation-captured by the Prognostic Nutritional Index (PNI) and the Systemic Immune-Inflammation Index (SII)-influence postoperative recovery and survival outcomes. Methods: This retrospective study included 78 patients who underwent primary debulking surgery for epithelial ovarian cancer. Preoperative and 6-hour postoperative PNI and SII values were calculated, and ΔPNI was defined as the postoperative-preoperative difference. Associations with postoperative inflammatory markers and overall survival (OS) were evaluated using Spearman correlation, Kaplan-Meier analysis, and Cox regression. Results: Postoperative PNI decreased significantly (49.3 → 34.1; p < 0.001), and SII increased markedly (964.7 → 4003.2; p < 0.001). Lower postoperative PNI and higher preoperative SII were associated with greater postoperative inflammatory response. In multivariate analysis, higher postoperative PNI independently predicted improved OS (HR 0.94, 95% CI 0.89-0.99; p = 0.021), while higher preoperative SII independently predicted worse OS (HR 1.18, 95% CI 1.01-1.36; p = 0.037). ΔPNI and postoperative SII were not independently prognostic. Conclusion: Postoperative PNI and preoperative SII provide complementary and independent prognostic information in patients undergoing primary debulking surgery for ovarian cancer. ΔPNI reflects acute immunonutritional stress but does not independently predict survival. Given their accessibility and modifiability, these indices may support perioperative risk stratification and represent potential targets for future interventional studies.

Source: Frontiers in Oncology

DOI: 10.3389/fonc.2025.1720075

Authors: Karolin Ohanoglu Cetinel, Gazi Guner, Can Berk Karabudak, Emilya Zeynalli, Suheda Yavuz Sen

Institution: İstanbul Başakşehir Çam ve Sakura Şehir Hastanesi

Language: English

Topic: Inflammatory Biomarkers in Disease Prognosis

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801