Carina , C. and Pereira, JAM and Taunk , K. and Taware , R. (2018) Screening of salivary volatiles for putative breast cancer discrimination: an exploratory study involving geographically distant populations. Breast cancer discrimination using saliva: an exploratory study involving geographic distant populations. Analytical and Bioanalytical Chemistry, 410 (18). pp. 4459-4468. ISSN July 2018, Volume 410, Issue 18, pp 4459–4468

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Abstract

Saliva is possibly the easiest biofluid to analyse and, despite its simple composition, contains relevant metabolic information. In this work, we explored the potential of the volatile composition of saliva samples as biosignatures for breast cancer (BC) non-invasive diagnosis. To achieve this, 106 saliva samples of BC patients and controls in two distinct geographic regions in Portugal and India were extracted and analysed using optimised headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME/GC-MS, 2 mL acidified saliva containing 10% NaCl, stirred (800 rpm) for 45 min at 38 °C and using the CAR/PDMS SPME fibre) followed by multivariate statistical analysis (MVSA). Over 120 volatiles from distinct chemical classes, with significant variations among the groups, were identified. MVSA retrieved a limited number of volatiles, viz. 3-methyl-pentanoic acid, 4-methyl-pentanoic acid, phenol and p-tert-butyl-phenol (Portuguese samples) and acetic, propanoic, benzoic acids, 1,2-decanediol, 2-decanone, and decanal (Indian samples), statistically relevant for the discrimination of BC patients in the populations analysed. This work defines an experimental layout, HS-SPME/GC-MS followed by MVSA, suitable to characterise volatile fingerprints for saliva as putative biosignatures for BC non-invasive diagnosis. Here, it was applied to BC samples from geographically distant populations and good disease separation was obtained. Further studies using larger cohorts are therefore very pertinent to challenge and strengthen this proof-of-concept study. Graphical abstract ᅟ.

Item Type:	Article
Subjects:	Bioinformatics and Proteomics
Depositing User:	Mr. Rameshwar Nema
Date Deposited:	10 Dec 2018 12:00
Last Modified:	10 Dec 2018 12:00
URI:	http://nccs.sciencecentral.in/id/eprint/527

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