Cargando…
Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors
BACKGROUND: Tumour growth is accompanied by gene and/or protein changes that may lead to peroxidation of the cell membrane species and, hence, to the emission of volatile organic compounds (VOCs). In this study, we investigated the ability of a nanosensor array to discriminate between breath VOCs th...
Autores principales: | , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939793/ https://www.ncbi.nlm.nih.gov/pubmed/20648015 http://dx.doi.org/10.1038/sj.bjc.6605810 |
_version_ | 1782186775770300416 |
---|---|
author | Peng, G Hakim, M Broza, Y Y Billan, S Abdah-Bortnyak, R Kuten, A Tisch, U Haick, H |
author_facet | Peng, G Hakim, M Broza, Y Y Billan, S Abdah-Bortnyak, R Kuten, A Tisch, U Haick, H |
author_sort | Peng, G |
collection | PubMed |
description | BACKGROUND: Tumour growth is accompanied by gene and/or protein changes that may lead to peroxidation of the cell membrane species and, hence, to the emission of volatile organic compounds (VOCs). In this study, we investigated the ability of a nanosensor array to discriminate between breath VOCs that characterise healthy states and the most widespread cancer states in the developed world: lung, breast, colorectal, and prostate cancers. METHODS: Exhaled alveolar breath was collected from 177 volunteers aged 20–75 years (patients with lung, colon, breast, and prostate cancers and healthy controls). Breath from cancerous subjects was collected before any treatment. The healthy population was healthy according to subjective patient's data. The breath of volunteers was examined by a tailor-made array of cross-reactive nanosensors based on organically functionalised gold nanoparticles and gas chromatography linked to the mass spectrometry technique (GC-MS). RESULTS: The results showed that the nanosensor array could differentiate between ‘healthy’ and ‘cancerous’ breath, and, furthermore, between the breath of patients having different cancer types. Moreover, the nanosensor array could distinguish between the breath patterns of different cancers in the same statistical analysis, irrespective of age, gender, lifestyle, and other confounding factors. The GC-MS results showed that each cancer could have a unique pattern of VOCs, when compared with healthy states, but not when compared with other cancer types. CONCLUSIONS: The reported results could lead to the development of an inexpensive, easy-to-use, portable, non-invasive tool that overcomes many of the deficiencies associated with the currently available diagnostic methods for cancer. |
format | Text |
id | pubmed-2939793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-29397932011-08-10 Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors Peng, G Hakim, M Broza, Y Y Billan, S Abdah-Bortnyak, R Kuten, A Tisch, U Haick, H Br J Cancer Molecular Diagnostics BACKGROUND: Tumour growth is accompanied by gene and/or protein changes that may lead to peroxidation of the cell membrane species and, hence, to the emission of volatile organic compounds (VOCs). In this study, we investigated the ability of a nanosensor array to discriminate between breath VOCs that characterise healthy states and the most widespread cancer states in the developed world: lung, breast, colorectal, and prostate cancers. METHODS: Exhaled alveolar breath was collected from 177 volunteers aged 20–75 years (patients with lung, colon, breast, and prostate cancers and healthy controls). Breath from cancerous subjects was collected before any treatment. The healthy population was healthy according to subjective patient's data. The breath of volunteers was examined by a tailor-made array of cross-reactive nanosensors based on organically functionalised gold nanoparticles and gas chromatography linked to the mass spectrometry technique (GC-MS). RESULTS: The results showed that the nanosensor array could differentiate between ‘healthy’ and ‘cancerous’ breath, and, furthermore, between the breath of patients having different cancer types. Moreover, the nanosensor array could distinguish between the breath patterns of different cancers in the same statistical analysis, irrespective of age, gender, lifestyle, and other confounding factors. The GC-MS results showed that each cancer could have a unique pattern of VOCs, when compared with healthy states, but not when compared with other cancer types. CONCLUSIONS: The reported results could lead to the development of an inexpensive, easy-to-use, portable, non-invasive tool that overcomes many of the deficiencies associated with the currently available diagnostic methods for cancer. Nature Publishing Group 2010-08-10 2010-07-20 /pmc/articles/PMC2939793/ /pubmed/20648015 http://dx.doi.org/10.1038/sj.bjc.6605810 Text en Copyright © 2010 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Molecular Diagnostics Peng, G Hakim, M Broza, Y Y Billan, S Abdah-Bortnyak, R Kuten, A Tisch, U Haick, H Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title | Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title_full | Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title_fullStr | Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title_full_unstemmed | Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title_short | Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
title_sort | detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939793/ https://www.ncbi.nlm.nih.gov/pubmed/20648015 http://dx.doi.org/10.1038/sj.bjc.6605810 |
work_keys_str_mv | AT pengg detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT hakimm detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT brozayy detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT billans detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT abdahbortnyakr detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT kutena detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT tischu detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors AT haickh detectionoflungbreastcolorectalandprostatecancersfromexhaledbreathusingasinglearrayofnanosensors |