Lavra Luca, Catini Alexandro, Ulivieri Alessandra, Capuano Rosamaria, Baghernajad Salehi Leila, Sciacchitano Salvatore, Bartolazzi Armando, Nardis Sara, Paolesse Roberto, Martinelli Eugenio, Di Natale Corrado
Labotatory of Biomedical Research "Fondazione Niccolò Cusano per la Ricerca Medico-Scientifica", Niccolò Cusano University, Rome, Italy.
Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy.
Sci Rep. 2015 Aug 25;5:13246. doi: 10.1038/srep13246.
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.
通过使用气相色谱法和人工嗅觉系统,已证明呼吸挥发性有机化合物(VOCs)分析对筛查患有乳腺癌病变的患者具有有效性。另一方面,体外研究表明,VOCs检测也可能提供有关肿瘤细胞分子和致瘤特征的重要线索。本研究的目的是分析乳腺癌细胞系顶空中的VOCs,以确定VOCs特征在提供有关这些细胞信息方面的潜力,并建立一种能够检测与乳腺肿瘤相关的VOCs的新型传感器系统。我们通过气相色谱-质谱分析确定了一种VOCs特征,该特征可区分乳腺癌细胞的:i)转化状态;ii)细胞倍增时间(CDT);iii)雌激素和孕激素受体(ER、PgR)表达以及HER2过表达。此外,从温度调制金属氧化物半导体气体传感器获得的信号可以进行分类,以识别与乳腺癌细胞、CDT和ER表达相关的VOCs特征。我们的结果表明,VOCs分析可以提供有关乳腺癌细胞增殖和分子特征的临床相关信息,并为优化用于肿瘤表征的低成本诊断设备奠定基础。