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The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs
Results collected in more than 20 years of studies suggest a relationship between the volatile organic compounds exhaled in breath and lung cancer. However, the origin of these compounds is still not completely elucidated. In spite of the simplistic vision that cancerous tissues in lungs directly em...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642313/ https://www.ncbi.nlm.nih.gov/pubmed/26559776 http://dx.doi.org/10.1038/srep16491 |
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author | Capuano, Rosamaria Santonico, Marco Pennazza, Giorgio Ghezzi, Silvia Martinelli, Eugenio Roscioni, Claudio Lucantoni, Gabriele Galluccio, Giovanni Paolesse, Roberto Di Natale, Corrado D’Amico, Arnaldo |
author_facet | Capuano, Rosamaria Santonico, Marco Pennazza, Giorgio Ghezzi, Silvia Martinelli, Eugenio Roscioni, Claudio Lucantoni, Gabriele Galluccio, Giovanni Paolesse, Roberto Di Natale, Corrado D’Amico, Arnaldo |
author_sort | Capuano, Rosamaria |
collection | PubMed |
description | Results collected in more than 20 years of studies suggest a relationship between the volatile organic compounds exhaled in breath and lung cancer. However, the origin of these compounds is still not completely elucidated. In spite of the simplistic vision that cancerous tissues in lungs directly emit the volatile metabolites into the airways, some papers point out that metabolites are collected by the blood and then exchanged at the air-blood interface in the lung. To shed light on this subject we performed an experiment collecting both the breath and the air inside both the lungs with a modified bronchoscopic probe. The samples were measured with a gas chromatography-mass spectrometer (GC-MS) and an electronic nose. We found that the diagnostic capability of the electronic nose does not depend on the presence of cancer in the sampled lung, reaching in both cases an above 90% correct classification rate between cancer and non-cancer samples. On the other hand, multivariate analysis of GC-MS achieved a correct classification rate between the two lungs of only 76%. GC-MS analysis of breath and air sampled from the lungs demonstrates a substantial preservation of the VOCs pattern from inside the lung to the exhaled breath. |
format | Online Article Text |
id | pubmed-4642313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46423132015-11-20 The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs Capuano, Rosamaria Santonico, Marco Pennazza, Giorgio Ghezzi, Silvia Martinelli, Eugenio Roscioni, Claudio Lucantoni, Gabriele Galluccio, Giovanni Paolesse, Roberto Di Natale, Corrado D’Amico, Arnaldo Sci Rep Article Results collected in more than 20 years of studies suggest a relationship between the volatile organic compounds exhaled in breath and lung cancer. However, the origin of these compounds is still not completely elucidated. In spite of the simplistic vision that cancerous tissues in lungs directly emit the volatile metabolites into the airways, some papers point out that metabolites are collected by the blood and then exchanged at the air-blood interface in the lung. To shed light on this subject we performed an experiment collecting both the breath and the air inside both the lungs with a modified bronchoscopic probe. The samples were measured with a gas chromatography-mass spectrometer (GC-MS) and an electronic nose. We found that the diagnostic capability of the electronic nose does not depend on the presence of cancer in the sampled lung, reaching in both cases an above 90% correct classification rate between cancer and non-cancer samples. On the other hand, multivariate analysis of GC-MS achieved a correct classification rate between the two lungs of only 76%. GC-MS analysis of breath and air sampled from the lungs demonstrates a substantial preservation of the VOCs pattern from inside the lung to the exhaled breath. Nature Publishing Group 2015-11-12 /pmc/articles/PMC4642313/ /pubmed/26559776 http://dx.doi.org/10.1038/srep16491 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Capuano, Rosamaria Santonico, Marco Pennazza, Giorgio Ghezzi, Silvia Martinelli, Eugenio Roscioni, Claudio Lucantoni, Gabriele Galluccio, Giovanni Paolesse, Roberto Di Natale, Corrado D’Amico, Arnaldo The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title | The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title_full | The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title_fullStr | The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title_full_unstemmed | The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title_short | The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
title_sort | lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642313/ https://www.ncbi.nlm.nih.gov/pubmed/26559776 http://dx.doi.org/10.1038/srep16491 |
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