Ukr.Biochem.J. 2020; Volume 92, Issue 1, Jan-Feb, pp. 56-65


Profiling of metabolic biomarkers in the serum of prostate cancer patients

F. Ali1, S. Akram1, S. Niaz1,2, N. Wajid1

1Institute of Molecular Biology and Biotechnology (IMBB) & Centre for Research In Molecular Medicine (CRIMM), The University of Lahore, Raiwind Road Lahore, Pakistan;
2Social Security Hospital Multan Chungi, Multan Road, Lahore;

Received: 26 July 2019; Accepted: 29 November 2019

Prostate cancer (PCa) is the major cause of the death of men population globally. Multiple factors are involved in the initiation and progression of PCa. This study aimed to evaluate different metabolic parameters in the serum of PCa patients. Males of 50 years and above age with the recent diagnosis of PCa (digital rectal examination, and elevated serum prostate-specific antigen (PSA) level) were included in the study. Glucose and serum electrolytes level, lactate dehydrogenase activity, parameters of lipid metabolism and liver and kidney functioning were measured on a fully automated analyzer using standard reagent kits. Oxidative stress was evaluated by measuring MDA, CAT, GSH, and SOD in serum. Detection of C-reactive protein (CRP), insulin-like growth factor (IGF-1) and vascular endothelial growth factor (VEGF) was performed by immunoassay. It was shown that serum glucose and HDL levels were lower while total cholesterol, LDL and triglyceride levels were significantly higher in PCa group than in the control group. PCa patients had an elevated level of liver and kidney functional markers. Comparison of the oxidative stress markers in patient and control groups showed significant difference. It was detected that serum levels of CRP, IGF-1 and VEGF were significantly higher in PCa group, compared the control to group (P < 0.05). Low level of glucose and dyslipidemia indices in prostate cancer patients indicated metabolic changes and demonstrated the importance of multiple parameters analysis (free PSA, dyslipidemia, VEGF, IGF-1, CRP, and oxidative stress markers) for early PCa diagnostics.

Keywords: , , , ,


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