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IB-IIA 期宫颈癌患者治疗前白蛋白/碱性磷酸酶比值的预后意义
Authors Zhang C, Li Y, Ji R, Zhang W, Zhang C, Dan Y, Qian H, He A
Received 30 July 2019
Accepted for publication 4 October 2019
Published 12 November 2019 Volume 2019:12 Pages 9559—9568
DOI https://doi.org/10.2147/OTT.S225294
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Shashank Kaushik (PT)
Peer reviewer comments 2
Editor who approved publication: Dr Federico Perche
Background: Pretreatment albumin/alkaline phosphatase ratio (AAPR) has been discussed about its prognostic value in several malignancies, whereas its role in cervical cancer remains unclear. In this study, we attempt to explore the prognostic significance of the AAPR in stage IB-IIA cervical cancer patients who underwent a radical hysterectomy.
Patients and methods: A total of 230 cervical cancer patients were enrolled in this retrospective study. The threshold value of AAPR was determined by receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis and multivariate analysis were performed to identify independent prognostic predictors of disease-free survival (DFS) and overall survival (OS).
Results: The optimal cut-off value of the preoperative AAPR was 0.68. Patients with AAPR<0.68 showed obviously inferior OS and DFS than those with AAPR>0.68 according to Kaplan-Meier curves (DFS: P = 0.011; OS: P = 0.017). In multivariate analysis, the preoperative AAPR showed to be an independent predictive factor for disease-free survival (DFS: P = 0.015) and overall survival (OS: P = 0.019). Moreover, subgroup analysis revealed that the lower AAPR was correlated with worse prognosis in patients with histologic grade I-II; but in those with histologic grade III, there was no significant difference between the two groups.
Conclusion: Preoperative AAPR was a potentially valuable prognostic index in stage IB-IIA cervical cancer patients. Further prospective studies are required to validate its prognostic value.
Keywords: albumin-to-alkaline phosphatase ratio, uterine cervical neoplasms, prognosis, survival analysis
