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10 September 2020 : Clinical Research

Prognostic Significance of CA125 Dynamic Change for Progression Free Survival in Patients with Epithelial Ovarian Carcinoma

Zemin Li1BCEF, Han Yin1CD, Mulan Ren1AG, Yang Shen1ACG*

DOI: 10.12659/MSM.925051

Med Sci Monit 2020; 26:e925051

Abstract

BACKGROUND: This study aimed to investigate the value of CA125 dynamic change in PFS prediction for patients with epithelial ovarian carcinoma (EOC).

MATERIAL AND METHODS: Data analysis was performed using SPSS 24.0 statistical software with progression-free survival (PFS) as an outcome measure. Kaplan-Meier method was used to analyze the relationship between PFS and preoperative and postoperative NLR, PLR and CA125 levels, CA125 half-life, CA125-negative time, age, FIGO stage, histopathology, differentiation, vessel carcinoma embolus, and ascites. The survival curves were compared by the log-rank test. Based on the results of single-factor analysis, the Cox model was used for multifactor analysis to analyze independent risk factors affecting the PFS of epithelial ovarian carcinoma.

RESULTS: A total of 117 patients with EOC were selected from January 2012 to January 2019 to carry out a retrospective study. Univariate analyses showed that PFS of the patients with EOC was associated with differentiation, vessel carcinoma embolus, FIGO stage, CA125 half-life, CA12- negative time, and preoperative NLR (P<0.05). Multivariate analysis by the Cox model showed that vessel carcinoma embolus, CA125 half-life, differentiation, and preoperative NLR are the independent risk factors for PFS in patients with EOC.

CONCLUSIONS: The serum CA125 dynamic as reflected by CA125 half-life is the most important independent prognostic factor in patients with EOC. The simplicity of CA125 monitoring and its correlation with EOC patient survival can identify patients with poor prognosis through monitoring CA125 half-life, which can provide a reference value for use in clinical practice.

Keywords: CA-125 Antigen, Disease-Free Survival

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750