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Investigation of VOCs associated with different characteristics of breast cancer cells

The efficacy of breath volatile organic compounds (VOCs) analysis for the screening of patients bearing breast cancer lesions has been demonstrated by using gas chromatography and artificial olfactory systems. On the other hand, in-vitro studies suggest that VOCs detection could also give important...

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Autores principales: Lavra, Luca, Catini, Alexandro, Ulivieri, Alessandra, Capuano, Rosamaria, Baghernajad Salehi, Leila, Sciacchitano, Salvatore, Bartolazzi, Armando, Nardis, Sara, Paolesse, Roberto, Martinelli, Eugenio, Di Natale, Corrado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548242/
https://www.ncbi.nlm.nih.gov/pubmed/26304457
http://dx.doi.org/10.1038/srep13246
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author Lavra, Luca
Catini, Alexandro
Ulivieri, Alessandra
Capuano, Rosamaria
Baghernajad Salehi, Leila
Sciacchitano, Salvatore
Bartolazzi, Armando
Nardis, Sara
Paolesse, Roberto
Martinelli, Eugenio
Di Natale, Corrado
author_facet Lavra, Luca
Catini, Alexandro
Ulivieri, Alessandra
Capuano, Rosamaria
Baghernajad Salehi, Leila
Sciacchitano, Salvatore
Bartolazzi, Armando
Nardis, Sara
Paolesse, Roberto
Martinelli, Eugenio
Di Natale, Corrado
author_sort Lavra, Luca
collection PubMed
description The efficacy of breath volatile organic compounds (VOCs) analysis for the screening of patients bearing breast cancer lesions has been demonstrated by using gas chromatography and artificial olfactory systems. On the other hand, in-vitro studies suggest that VOCs detection could also give important indications regarding molecular and tumorigenic characteristics of tumor cells. Aim of this study was to analyze VOCs in the headspace of breast cancer cell lines in order to ascertain the potentiality of VOCs signatures in giving information about these cells and set-up a new sensor system able to detect breast tumor-associated VOCs. We identified by Gas Chromatography-Mass Spectrometry analysis a VOCs signature that discriminates breast cancer cells for: i) transformed condition; ii) cell doubling time (CDT); iii) Estrogen and Progesterone Receptors (ER, PgR) expression, and HER2 overexpression. Moreover, the signals obtained from a temperature modulated metal oxide semiconductor gas sensor can be classified in order to recognize VOCs signatures associated with breast cancer cells, CDT and ER expression. Our results demonstrate that VOCs analysis could give clinically relevant information about proliferative and molecular features of breast cancer cells and pose the basis for the optimization of a low-cost diagnostic device to be used for tumors characterization.
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spelling pubmed-45482422015-08-26 Investigation of VOCs associated with different characteristics of breast cancer cells Lavra, Luca Catini, Alexandro Ulivieri, Alessandra Capuano, Rosamaria Baghernajad Salehi, Leila Sciacchitano, Salvatore Bartolazzi, Armando Nardis, Sara Paolesse, Roberto Martinelli, Eugenio Di Natale, Corrado Sci Rep Article The efficacy of breath volatile organic compounds (VOCs) analysis for the screening of patients bearing breast cancer lesions has been demonstrated by using gas chromatography and artificial olfactory systems. On the other hand, in-vitro studies suggest that VOCs detection could also give important indications regarding molecular and tumorigenic characteristics of tumor cells. Aim of this study was to analyze VOCs in the headspace of breast cancer cell lines in order to ascertain the potentiality of VOCs signatures in giving information about these cells and set-up a new sensor system able to detect breast tumor-associated VOCs. We identified by Gas Chromatography-Mass Spectrometry analysis a VOCs signature that discriminates breast cancer cells for: i) transformed condition; ii) cell doubling time (CDT); iii) Estrogen and Progesterone Receptors (ER, PgR) expression, and HER2 overexpression. Moreover, the signals obtained from a temperature modulated metal oxide semiconductor gas sensor can be classified in order to recognize VOCs signatures associated with breast cancer cells, CDT and ER expression. Our results demonstrate that VOCs analysis could give clinically relevant information about proliferative and molecular features of breast cancer cells and pose the basis for the optimization of a low-cost diagnostic device to be used for tumors characterization. Nature Publishing Group 2015-08-25 /pmc/articles/PMC4548242/ /pubmed/26304457 http://dx.doi.org/10.1038/srep13246 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
Lavra, Luca
Catini, Alexandro
Ulivieri, Alessandra
Capuano, Rosamaria
Baghernajad Salehi, Leila
Sciacchitano, Salvatore
Bartolazzi, Armando
Nardis, Sara
Paolesse, Roberto
Martinelli, Eugenio
Di Natale, Corrado
Investigation of VOCs associated with different characteristics of breast cancer cells
title Investigation of VOCs associated with different characteristics of breast cancer cells
title_full Investigation of VOCs associated with different characteristics of breast cancer cells
title_fullStr Investigation of VOCs associated with different characteristics of breast cancer cells
title_full_unstemmed Investigation of VOCs associated with different characteristics of breast cancer cells
title_short Investigation of VOCs associated with different characteristics of breast cancer cells
title_sort investigation of vocs associated with different characteristics of breast cancer cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548242/
https://www.ncbi.nlm.nih.gov/pubmed/26304457
http://dx.doi.org/10.1038/srep13246
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