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Published on: January 12, 2020
The Association of Preoperative Prognostic Nutritional Index With Survival Outcome in Ovarian Clear Cell Cancer
Nisa Prueksaritanond1,2, Kittisak Petchsila1, Putsarat Insin1,2
1Gynecologic Oncology Unit, Department of Obstetrics and Gynecology, Rajavithi Hospital, Bangkok, Thailand.
Background:
The preoperative prognostic nutritional index (PPNI) has been investigated as a prognostic indicator in various cancers including epithelial ovarian cancer (EOC). However, its prognostic relevance in epithelial ovarian clear cell cancer (EOC-CC) remains uncertain. The objective of the study was to clarify the prognostic values of PPNI in EOC-CC patients.
Methods:
We retrospectively reviewed 290 EOC-CC patients who underwent staging surgery at Rajavithi Hospital between January 2008 and December 2019. The PPNI was calculated using serum albumin × 10 (g/L) + 0.005 × peripheral blood lymphocyte count (per mm3). The association between PPNI and survival outcome was analyzed using the Kaplan-Meier method and the Cox proportional hazard model.
Results:
The optimal cut-off value of PPNI, set at a mean of PPNI as 50, divided the EOC-CC patients into two groups: the low (n = 115) and the high (n = 175) PPNI group. With a median follow-up time of 63 months, patients with high PPNI exhibited significantly superior 5-year overall survival (OS) rates (76.4% vs. 56.8%, P = 0.004) and 5-year progression-free survival (PFS) rates (71.0% vs. 58.7%, P = 0.017) compared to patients with low PPNI. Univariate analysis revealed high PPNI correlated with increased OS (hazard ratio (HR): 0.51; 95% confidence interval (CI): 0.35 - 0.75) and PFS (HR: 0.63; 95% CI: 0.43 - 0.92). Nevertheless, in a multivariate analysis, high PPNI did not retain its status as an independent prognostic factor for a favorable prognosis in EOC-CC patients.
Conclusion:
The present study did not confirm the prognostic significance of PPNI on survival outcomes in EOC-CC patients. Therefore, conducting prospective clinical research with large samples is necessary to illustrate the predictive values of PPNI in this rare disease.

