Investigation of VOCs associated with different characteristics of breast cancer cells

被引:69
作者
Lavra, Luca [1 ]
Catini, Alexandro [2 ]
Ulivieri, Alessandra [1 ]
Capuano, Rosamaria [2 ]
Salehi, Leila Baghernajad [1 ]
Sciacchitano, Salvatore [1 ,3 ]
Bartolazzi, Armando [4 ,5 ]
Nardis, Sara [6 ]
Paolesse, Roberto [6 ]
Martinelli, Eugenio [2 ]
Di Natale, Corrado [2 ]
机构
[1] Niccolo Cusano Univ, Lab Biomed Res, Fdn Niccolo Cusano Ric Med Sci, Rome, Italy
[2] Univ Roma Tor Vergata, Dept Elect Engn, I-00133 Rome, Italy
[3] Univ Roma La Sapienza, Dept Clin & Mol Med, I-00185 Rome, Italy
[4] Univ Hosp St Andrea, Dept Pathol, Rome, Italy
[5] Karolinska Hosp, Canc Ctr Karolinska, Dept Oncol Pathol, S-10401 Stockholm, Sweden
[6] Univ Roma Tor Vergata, Dept Chem Sci & Technol, I-00133 Rome, Italy
关键词
VOLATILE ORGANIC-COMPOUNDS; EXHALED BREATH; OXIDATIVE STRESS; CARCINOMA CELLS; LUNG-CANCER; IN-VITRO; BIOMARKERS; ARRAY; IDENTIFICATION; PREDICTION;
D O I
10.1038/srep13246
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:12
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