BACKGROUND: The specific volatile organic compounds (VOCs) exhaled by lung cancer cells in the microenvironment are the source biomarkers of lung cancer and also serve as direct evidence that the diagnosis of lung cancer by breath is possible. However, to the authors' knowledge, few articles published to date have provided accurate VOCs in the microenvironment, thereby leading to different points of view with regard to searching for biomarkers in the breath from lung cancer patients In this article, an innovative pathologic analysis method of lung cancer and the early diagnosis of lung cancer at the cellular level were introduced for this purpose. METHODS: Solid-phase microextraction combined with gas chromatography is used as the detection system to determine the VOCs in the culture medium of several target cells, including different kinds of lung cancer cells, bronchial epithelial cells, tastebud cells, osteogenic cells, and lipocytes. As a result, each kind of cells has a unique chromatogram. There are 4 special VOCs that were found to exist in all culture mediums of lung cancer cells, which are the metabolic products of lung cancer cells and can be viewed as markers of lung cancer. RESULTS: The authors were able to determine a correlation between VOCs in the metabolic products of lung cancer cells and VOCs in the breath of lung cancer patients, some of whom had stage I and II disease, and eventually hope to certify the biomarkers in the breath of lung cancer patients. CONCLUSIONS: This research is significant and provides the basis for the noninvasive detection and the breath diagnosis of lung cancer using an electronic nose.
BACKGROUND: The specific volatile organic compounds (VOCs) exhaled by lung cancer cells in the microenvironment are the source biomarkers of lung cancer and also serve as direct evidence that the diagnosis of lung cancer by breath is possible. However, to the authors' knowledge, few articles published to date have provided accurate VOCs in the microenvironment, thereby leading to different points of view with regard to searching for biomarkers in the breath from lung cancerpatients In this article, an innovative pathologic analysis method of lung cancer and the early diagnosis of lung cancer at the cellular level were introduced for this purpose. METHODS: Solid-phase microextraction combined with gas chromatography is used as the detection system to determine the VOCs in the culture medium of several target cells, including different kinds of lung cancer cells, bronchial epithelial cells, tastebud cells, osteogenic cells, and lipocytes. As a result, each kind of cells has a unique chromatogram. There are 4 special VOCs that were found to exist in all culture mediums of lung cancer cells, which are the metabolic products of lung cancer cells and can be viewed as markers of lung cancer. RESULTS: The authors were able to determine a correlation between VOCs in the metabolic products of lung cancer cells and VOCs in the breath of lung cancerpatients, some of whom had stage I and II disease, and eventually hope to certify the biomarkers in the breath of lung cancerpatients. CONCLUSIONS: This research is significant and provides the basis for the noninvasive detection and the breath diagnosis of lung cancer using an electronic nose.
Authors: Peter J Mazzone; Xiao-Feng Wang; Yaomin Xu; Tarek Mekhail; Mary C Beukemann; Jie Na; Jonathan W Kemling; Kenneth S Suslick; Madhu Sasidhar Journal: J Thorac Oncol Date: 2012-01 Impact factor: 15.609
Authors: Daniela Rodrigues; Joana Pinto; Ana Margarida Araújo; Sara Monteiro-Reis; Carmen Jerónimo; Rui Henrique; Maria de Lourdes Bastos; Paula Guedes de Pinho; Márcia Carvalho Journal: Metabolomics Date: 2018-04-17 Impact factor: 4.290
Authors: Ailie Robinson; Annette O Busula; Mirjam A Voets; Khalid B Beshir; John C Caulfield; Stephen J Powers; Niels O Verhulst; Peter Winskill; Julian Muwanguzi; Michael A Birkett; Renate C Smallegange; Daniel K Masiga; W Richard Mukabana; Robert W Sauerwein; Colin J Sutherland; Teun Bousema; John A Pickett; Willem Takken; James G Logan; Jetske G de Boer Journal: Proc Natl Acad Sci U S A Date: 2018-04-16 Impact factor: 11.205
Authors: Amel Bajtarevic; Clemens Ager; Martin Pienz; Martin Klieber; Konrad Schwarz; Magdalena Ligor; Tomasz Ligor; Wojciech Filipiak; Hubert Denz; Michael Fiegl; Wolfgang Hilbe; Wolfgang Weiss; Peter Lukas; Herbert Jamnig; Martin Hackl; Alfred Haidenberger; Bogusław Buszewski; Wolfram Miekisch; Jochen Schubert; Anton Amann Journal: BMC Cancer Date: 2009-09-29 Impact factor: 4.430
Authors: Koichi Matsumura; Maryanne Opiekun; Hiroaki Oka; Anil Vachani; Steven M Albelda; Kunio Yamazaki; Gary K Beauchamp Journal: PLoS One Date: 2010-01-27 Impact factor: 3.240