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Volatile metabolomic signature of human breast cancer cell lines
Breast cancer (BC) remains the most prevalent oncologic pathology in women, causing huge psychological, economic and social impacts on our society. Currently, the available diagnostic tools have limited sensitivity and specificity. Metabolome analysis has emerged as a powerful tool for obtaining inf...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335623/ https://www.ncbi.nlm.nih.gov/pubmed/28256598 http://dx.doi.org/10.1038/srep43969 |
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author | Silva, Catarina L. Perestrelo, Rosa Silva, Pedro Tomás, Helena Câmara, José S. |
author_facet | Silva, Catarina L. Perestrelo, Rosa Silva, Pedro Tomás, Helena Câmara, José S. |
author_sort | Silva, Catarina L. |
collection | PubMed |
description | Breast cancer (BC) remains the most prevalent oncologic pathology in women, causing huge psychological, economic and social impacts on our society. Currently, the available diagnostic tools have limited sensitivity and specificity. Metabolome analysis has emerged as a powerful tool for obtaining information about the biological processes that occur in organisms, and is a useful platform for discovering new biomarkers or make disease diagnosis using different biofluids. Volatile organic compounds (VOCs) from the headspace of cultured BC cells and normal human mammary epithelial cells, were collected by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography combined with mass spectrometry (GC–MS), thus defining a volatile metabolomic signature. 2-Pentanone, 2-heptanone, 3-methyl-3-buten-1-ol, ethyl acetate, ethyl propanoate and 2-methyl butanoate were detected only in cultured BC cell lines. Multivariate statistical methods were used to verify the volatomic differences between BC cell lines and normal cells in order to find a set of specific VOCs that could be associated with BC, providing comprehensive insight into VOCs as potential cancer biomarkers. The establishment of the volatile fingerprint of BC cell lines presents a powerful approach to find endogenous VOCs that could be used to improve the BC diagnostic tools and explore the associated metabolomic pathways. |
format | Online Article Text |
id | pubmed-5335623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53356232017-03-07 Volatile metabolomic signature of human breast cancer cell lines Silva, Catarina L. Perestrelo, Rosa Silva, Pedro Tomás, Helena Câmara, José S. Sci Rep Article Breast cancer (BC) remains the most prevalent oncologic pathology in women, causing huge psychological, economic and social impacts on our society. Currently, the available diagnostic tools have limited sensitivity and specificity. Metabolome analysis has emerged as a powerful tool for obtaining information about the biological processes that occur in organisms, and is a useful platform for discovering new biomarkers or make disease diagnosis using different biofluids. Volatile organic compounds (VOCs) from the headspace of cultured BC cells and normal human mammary epithelial cells, were collected by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography combined with mass spectrometry (GC–MS), thus defining a volatile metabolomic signature. 2-Pentanone, 2-heptanone, 3-methyl-3-buten-1-ol, ethyl acetate, ethyl propanoate and 2-methyl butanoate were detected only in cultured BC cell lines. Multivariate statistical methods were used to verify the volatomic differences between BC cell lines and normal cells in order to find a set of specific VOCs that could be associated with BC, providing comprehensive insight into VOCs as potential cancer biomarkers. The establishment of the volatile fingerprint of BC cell lines presents a powerful approach to find endogenous VOCs that could be used to improve the BC diagnostic tools and explore the associated metabolomic pathways. Nature Publishing Group 2017-03-03 /pmc/articles/PMC5335623/ /pubmed/28256598 http://dx.doi.org/10.1038/srep43969 Text en Copyright © 2017, The Author(s) 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 Silva, Catarina L. Perestrelo, Rosa Silva, Pedro Tomás, Helena Câmara, José S. Volatile metabolomic signature of human breast cancer cell lines |
title | Volatile metabolomic signature of human breast cancer cell lines |
title_full | Volatile metabolomic signature of human breast cancer cell lines |
title_fullStr | Volatile metabolomic signature of human breast cancer cell lines |
title_full_unstemmed | Volatile metabolomic signature of human breast cancer cell lines |
title_short | Volatile metabolomic signature of human breast cancer cell lines |
title_sort | volatile metabolomic signature of human breast cancer cell lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335623/ https://www.ncbi.nlm.nih.gov/pubmed/28256598 http://dx.doi.org/10.1038/srep43969 |
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