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Current Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 0929-8673
ISSN (Online): 1875-533X

Research Article

Metabolomic Heterogeneity of Urogenital Tract Cancers Analyzed by Complementary Chromatographic Techniques Coupled with Mass Spectrometry

Author(s): Arlette Yumba-Mpanga, Wiktoria Struck-Lewicka, Renata Wawrzyniak, Marcin Markuszewski, Marek Roslan, Roman Kaliszan and Michał Jan Markuszewski*

Volume 26, Issue 1, 2019

Page: [216 - 231] Pages: 16

DOI: 10.2174/0929867324666171006150326

open access plus

Abstract

Background: In regard to urogenital tract cancer studies, an estimated 340,650 new cases and 58,360 deaths from genital system cancer and about 141,140 new cases and 29330 deaths from urinary system were projected to occur in the United States in 2012. The main drawbacks of currently available diagnostic tests constitute the low specificity, costliness and quite high invasiveness.

Objective: The main goal of this pilot study was to determine and compare urine metabolic fingerprints in urogenital tract cancer patients and healthy controls.

Method: A comparative analysis of the metabolic profile of urine from 30 patients with cancer of the genitourinary system (bladder (n=10), kidney (n=10) and prostate (n=10)) and 30 healthy volunteers as a control group was provided by LC-TOF/MS and GCQqQ/ MS. The data analysis was performed by the use of U-Mann Whitney test or Student’s t-test, principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA).

Results: As a result, 33, 43, and 22 compounds were identified as statistically significant in bladder, prostate and kidney cancer, respectively, compared to healthy groups.

Conclusion: Diverse compounds such as purine, sugars, amino acids, nucleosides, organic acids which play a role in purine metabolism, in tricarboxylic acid cycle, in amino acid metabolism or in gut microbiota metabolism were identified. Only two metabolites namely glucocaffeic acid and lactic acid were found to be in common in studied three types of cancer.

Keywords: LC-MS, GC-MS, metabolomics, bladder cancer, kidney cancer, prostate cancer.

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