Urinary volatile organic compound analysis for the diagnosis of cancer: a systematic literature review and quality assessment
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Published version
Author(s)
Wen, Qing
Boshier, Piers
Myridakis, Antonis
Belluomo, Ilaria
Hanna, George B
Type
Journal Article
Abstract
The analysis of urinary volatile organic compounds (VOCs) is a promising field of research with the potential to discover new biomarkers for cancer early detection. This systematic review aims to summarise the published literature concerning cancer-associated urinary VOCs. A systematic online literature search was conducted to identify studies reporting urinary VOC biomarkers of cancers in accordance with the recommendations of the Cochrane Library and Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Thirteen studies comprising 1266 participants in total were included in the review. Studies reported urinary VOC profiles of five cancer subtypes: prostate cancer, gastrointestinal cancer, leukaemia/lymphoma, lung cancer, and bladder cancer. Forty-eight urinary VOCs belonging to eleven chemical classes were identified with high diagnostic performance. VOC profiles were distinctive for each cancer type with limited cross-over. The metabolic analysis suggested distinctive phenotypes for prostate and gastrointestinal cancers. The heterogenicity of study design, methodological and reporting quality may have contributed to inconsistencies between studies. Urinary VOC analysis has shown promising performance for non-invasive diagnosis of cancer. However, limitations in study design have resulted in inconsistencies between studies. These limitations are summarised and discussed in order to support future studies.
Date Issued
2020-12-29
Date Acceptance
2020-12-24
Citation
Metabolites, 2020, 11 (1), pp.17-17
ISSN
2218-1989
Publisher
MDPI AG
Start Page
17
End Page
17
Journal / Book Title
Metabolites
Volume
11
Issue
1
Copyright Statement
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.mdpi.com/2218-1989/11/1/17
Subjects
0301 Analytical Chemistry
0601 Biochemistry and Cell Biology
1103 Clinical Sciences
Publication Status
Published online
Date Publish Online
2020-12-29