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Authors Zheng X, Qiu S, Liao X, Han X, Jin K, Yang L, Wei Q
Received 19 November 2018
Accepted for publication 29 January 2019
Published 26 February 2019 Volume 2019:12 Pages 1613—1620
DOI https://doi.org/10.2147/OTT.S195148
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 3
Editor who approved publication: Dr Leo Jen-Liang Su
Objective: To
evaluate the association between metabolic syndrome (MetS) and the accumulation
of its components with prostate cancer (PCa).
Patients and methods: Patients
undergoing radical prostatectomy were retrospectively included. Patients were
grouped by low risk and intermediate-high risk according to International
Society of Urological Pathology grade. Multivariable logistic regression and
Cox hazard regression model were utilized to assess the association of MetS with
overall survival, biochemical recurrence, upgrading, upstaging, and positive
surgical margin (PSM) after prostatectomy. Besides, trend test was also
performed to evaluate the impact of the accumulation of MetS components on
postoperative pathological feature.
Results: A total
of 1,083 patients were eventually enrolled. With a median follow-up of 40.45
months, 197 patients were diagnosed with MetS. No significant association
between MetS and survival outcomes and pathological features was found.
However, we did notice that the accumulation of the MetS components could lead
to an elevated gradient of the PSM risk in the entire cohort (one component:
OR=1.46; two components: OR=1.89; ≥3 components: OR=2.07; P for
trend=0.0194) and intermediate-high risk group (one component: OR=1.4; two
components: OR=1.85; ≥3 components: OR=2.05; P for
trend=0.0127).
Conclusion: The
accumulation of MetS components could lead to increasing risk of PSM on the
entire PCa cohort and patients with intermediate-high risk PCa after prostatectomy,
but not for the low-risk patients.
Keywords: prostate
cancer, PCa, metabolic syndrome, MetS, International Society of Urological
Pathology, ISUP, positive surgical margin, PSM