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BMC Cancer


Title:Pancreatic ductal adenocarcinoma can be detected by analysis of volatile organic compounds (VOCs) in alveolar air
Author(s):Princivalle A; Monasta L; Butturini G; Bassi C; Perbellini L;
Address:"Department of Diagnostics and Public Health - Occupational Medicine Unit, University of Verona, Policlinico Borgo Roma, Piazzale LA Scuro 10, 37134, Verona, Italy. Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health IRCCS 'Burlo Garofolo', Trieste, Italy. Department of Surgery, Pederzoli Hospital, Peschiera del Garda, Verona, Italy. Department of Surgery, Pancreas Inst, Gen Surg Unit B -Verona University Hospital, Verona, Italy. Department of Diagnostics and Public Health - Occupational Medicine Unit, University of Verona, Policlinico Borgo Roma, Piazzale LA Scuro 10, 37134, Verona, Italy. luigi.perbellini@univr.it"
Journal Title:BMC Cancer
Year:2018
Volume:20180504
Issue:1
Page Number:529 -
DOI: 10.1186/s12885-018-4452-0
ISSN/ISBN:1471-2407 (Electronic) 1471-2407 (Linking)
Abstract:"BACKGROUND: In the last decade many studies showed that the exhaled breath of subjects suffering from several pathological conditions has a peculiar volatile organic compound (VOC) profile. The objective of the present work was to analyse the VOCs in alveolar air to build a diagnostic tool able to identify the presence of pancreatic ductal adenocarcinoma in patients with histologically confirmed disease. METHODS: The concentration of 92 compounds was measured in the end-tidal breath of 65 cases and 102 controls. VOCs were measured with an ion-molecule reaction mass spectrometry. To distinguish between subjects with pancreatic adenocarcinomas and controls, an iterated Least Absolute Shrinkage and Selection Operator multivariate Logistic Regression model was elaborated. RESULTS: The final predictive model, based on 10 VOCs, significantly and independently associated with the outcome had a sensitivity and specificity of 100 and 84% respectively, and an area under the ROC curve of 0.99. For further validation, the model was run on 50 other subjects: 24 cases and 26 controls; 23 patients with histological diagnosis of pancreatic adenocarcinomas and 25 controls were correctly identified by the model. CONCLUSIONS: Pancreatic cancer is able to alter the concentration of some molecules in the blood and hence of VOCs in the alveolar air in equilibrium. The detection and statistical rendering of alveolar VOC composition can be useful for the clinical diagnostic approach of pancreatic neoplasms with excellent sensitivity and specificity"
Keywords:"Adult Aged Aged, 80 and over Algorithms Carcinoma, Pancreatic Ductal/*diagnosis/metabolism/pathology Case-Control Studies Exhalation Female Humans Male Mass Spectrometry/methods Middle Aged Models, Biological Pancreatic Ducts/pathology Pancreatic Neoplasm;"
Notes:"MedlinePrincivalle, Andrea Monasta, Lorenzo Butturini, Giovanni Bassi, Claudio Perbellini, Luigi eng Validation Study England 2018/05/08 BMC Cancer. 2018 May 4; 18(1):529. doi: 10.1186/s12885-018-4452-0"

 
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