The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs

被引:80
作者
Capuano, Rosamaria [1 ]
Santonico, Marco [2 ]
Pennazza, Giorgio [2 ]
Ghezzi, Silvia [1 ]
Martinelli, Eugenio [1 ]
Roscioni, Claudio [3 ]
Lucantoni, Gabriele [3 ]
Galluccio, Giovanni [3 ]
Paolesse, Roberto [4 ]
Di Natale, Corrado [1 ]
D'Amico, Arnaldo [1 ]
机构
[1] Univ Roma Tor Vergata, Dept Elect Engn, I-00133 Rome, Italy
[2] Univ Campus Biomed Roma, Unit Elect Sensor Syst, Ctr Integrated Res CIR, I-00128 Rome, Italy
[3] S Camillo C Forlanini Hosp, I-00152 Rome, Italy
[4] Univ Roma Tor Vergata, Dept Chem Sci & Technol, I-00133 Rome, Italy
来源
SCIENTIFIC REPORTS | 2015年 / 5卷
关键词
VOLATILE ORGANIC-COMPOUNDS; TERM FOLLOW-UP; ELECTRONIC NOSE; SENSOR ARRAY; IDENTIFICATION; VENTILATION; CARCINOMA;
D O I
10.1038/srep16491
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
Results collected in more than 20 years of studies suggest a relationship between the volatile organic compounds exhaled in breath and lung cancer. However, the origin of these compounds is still not completely elucidated. In spite of the simplistic vision that cancerous tissues in lungs directly emit the volatile metabolites into the airways, some papers point out that metabolites are collected by the blood and then exchanged at the air-blood interface in the lung. To shed light on this subject we performed an experiment collecting both the breath and the air inside both the lungs with a modified bronchoscopic probe. The samples were measured with a gas chromatography-mass spectrometer (GC-MS) and an electronic nose. We found that the diagnostic capability of the electronic nose does not depend on the presence of cancer in the sampled lung, reaching in both cases an above 90% correct classification rate between cancer and non-cancer samples. On the other hand, multivariate analysis of GC-MS achieved a correct classification rate between the two lungs of only 76%. GC-MS analysis of breath and air sampled from the lungs demonstrates a substantial preservation of the VOCs pattern from inside the lung to the exhaled breath.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Noninvasive detection of lung cancer using exhaled breath
    Fu, Xiao-An
    Li, Mingxiao
    Knipp, Ralph J.
    Nantz, Michael H.
    Bousamra, Michael
    CANCER MEDICINE, 2014, 3 (01): : 174 - 181
  • [22] Detection of VOCs in exhaled breath for lung cancer diagnosis
    Song, Jiaqi
    Li, Ruohan
    Yu, Ruxin
    Zhu, Qi
    Li, Chunxia
    He, Weina
    Liu, Jianhua
    MICROCHEMICAL JOURNAL, 2024, 199
  • [23] Analytical methods based on exhaled breath for early detection of lung cancer
    Luque de Castro, M. D.
    Fernandez-Peralbo, M. A.
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2012, 38 : 13 - 20
  • [24] Detection of volatile organic compounds in exhaled breath to screen lung cancer: a systematic review
    Hua, Qingling
    Zhu, Yanzhe
    Liu, Hu
    FUTURE ONCOLOGY, 2018, 14 (16) : 1647 - 1662
  • [25] Exhaled Breath Analysis for Lung Cancer Detection Using Ion Mobility Spectrometry
    Handa, Hiroshi
    Usuba, Ayano
    Maddula, Sasidhar
    Baumbach, Joerg Ingo
    Mineshita, Masamichi
    Miyazawa, Teruomi
    PLOS ONE, 2014, 9 (12):
  • [26] Electronic Nose Analysis of Exhaled Breath Volatiles to Identify Lung Cancer Cases: A Systematic Review
    Swanson, Barbara
    Fogg, Louis
    Julion, Wrenetha
    Arrieta, Maryan T.
    JANAC-JOURNAL OF THE ASSOCIATION OF NURSES IN AIDS CARE, 2020, 31 (01): : 71 - 79
  • [27] Exhaled breath analysis using GC-MS and an electronic nose for lung cancer diagnostics
    Gashimova, Elina
    Osipova, Anna
    Temerdashev, Azamat
    Porkhanov, Vladimir
    Polyakov, Igor
    Perunov, Dmitry
    Dmitrieva, Ekaterina
    ANALYTICAL METHODS, 2021, 13 (40) : 4793 - 4804
  • [28] Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis
    Tirzite, Madara
    Bukovskis, Maris
    Strazda, Gunta
    Jurka, Normunds
    Taivans, Immanuels
    JOURNAL OF BREATH RESEARCH, 2017, 11 (03)
  • [29] Diagnosing lung cancer in exhaled breath using gold nanoparticles
    Peng, Gang
    Tisch, Ulrike
    Adams, Orna
    Hakim, Meggie
    Shehada, Nisrean
    Broza, Yoav Y.
    Billan, Salem
    Abdah-Bortnyak, Roxolyana
    Kuten, Abraham
    Haick, Hossam
    NATURE NANOTECHNOLOGY, 2009, 4 (10) : 669 - 673
  • [30] Diagnosis of Lung Cancer Through Exhaled Breath: A Comprehensive Study
    Gashimova, Elina
    Temerdashev, Azamat
    Perunov, Dmitry
    Porkhanov, Vladimir
    Polyakov, Igor
    MOLECULAR DIAGNOSIS & THERAPY, 2024, : 847 - 860