Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractBreath testing as potential colorectal cancer screening tool    Next AbstractEnvironmental and individual exposure to secondhand aerosol of electronic cigarettes in confined spaces: Results from the TackSHS Project(dagger) »

Gut


Title:Detection of precancerous gastric lesions and gastric cancer through exhaled breath
Author(s):Amal H; Leja M; Funka K; Skapars R; Sivins A; Ancans G; Liepniece-Karele I; Kikuste I; Lasina I; Haick H;
Address:"Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel. Faculty of Medicine, University of Latvia, Riga, Latvia Department of Research, Riga East University Hospital, Riga, Latvia Digestive Diseases Centre GASTRO, Riga, Latvia. Faculty of Medicine, University of Latvia, Riga, Latvia Department of Research, Riga East University Hospital, Riga, Latvia. Faculty of Medicine, University of Latvia, Riga, Latvia Department of Research, Riga East University Hospital, Riga, Latvia Academic Histology laboratory, Riga, Latvia. Faculty of Medicine, University of Latvia, Riga, Latvia Digestive Diseases Centre GASTRO, Riga, Latvia. Faculty of Medicine, University of Latvia, Riga, Latvia"
Journal Title:Gut
Year:2016
Volume:20150413
Issue:3
Page Number:400 - 407
DOI: 10.1136/gutjnl-2014-308536
ISSN/ISBN:1468-3288 (Electronic) 0017-5749 (Linking)
Abstract:"OBJECTIVES: Timely detection of gastric cancer (GC) and the related precancerous lesions could provide a tool for decreasing both cancer mortality and incidence. DESIGN: 968 breath samples were collected from 484 patients (including 99 with GC) for two different analyses. The first sample was analysed by gas chromatography linked to mass spectrometry (GCMS) while applying t test with multiple corrections (p value<0.017); the second by cross-reactive nanoarrays combined with pattern recognition. For the latter, 70% of the samples were randomly selected and used in the training set while the remaining 30% constituted the validation set. The operative link on gastric intestinal metaplasia (OLGIM) assessment staging system was used to stratify the presence/absence and risk level of precancerous lesions. Patients with OLGIM stages III-IV were considered to be at high risk. RESULTS: According to the GCMS results, patients with cancer as well as those at high risk had distinctive breath-print compositions. Eight significant volatile organic compounds (p value<0.017) were detected in exhaled breath in the different comparisons. The nanoarray analysis made it possible to discriminate between the patients with GC and the control group (OLGIM 0-IV) with 73% sensitivity, 98% specificity and 92% accuracy. The classification sensitivity, specificity, and accuracy between the subgroups was as follows: GC versus OLGIM 0-II-97%, 84% and 87%; GC versus OLGIM III-IV-93%, 80% and 90%; but OLGIM I-II versus OLGIM III-IV and dysplasia combined-83%, 60% and 61%, respectively. CONCLUSIONS: Nanoarray analysis could provide the missing non-invasive screening tool for GC and related precancerous lesions as well as for surveillance of the latter. TRIAL REGISTRATION NUMBER: Clinical Trials.gov number, NCT01420588 (3/11/2013)"
Keywords:"Adult Aged Aged, 80 and over Biomarkers, Tumor/*metabolism Breath Tests/methods Early Detection of Cancer/*methods Exhalation Female Humans Male Microarray Analysis Middle Aged Neoplasm Grading Neoplasm Staging Precancerous Conditions/*diagnosis/metabolis;"
Notes:"MedlineAmal, Haitham Leja, Marcis Funka, Konrads Skapars, Roberts Sivins, Armands Ancans, Guntis Liepniece-Karele, Inta Kikuste, Ilze Lasina, Ieva Haick, Hossam eng Clinical Trial Research Support, Non-U.S. Gov't England 2015/04/15 Gut. 2016 Mar; 65(3):400-7. doi: 10.1136/gutjnl-2014-308536. Epub 2015 Apr 13"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024