Literature DB >> 29526822

Breathprinting and Early Diagnosis of Lung Cancer.

Gaetano Rocco1, Giorgio Pennazza2, Marco Santonico2, Filippo Longo3, Raffaele Rocco4, Pierfilippo Crucitti3, Raffaele Antonelli Incalzi5.   

Abstract

The electronic nose (e-nose) is a promising technology as a useful addition to the currently available modalities to achieve lung cancer diagnosis. The e-nose can assess the volatile organic compounds detected in the breath and derived from the cellular metabolism. Volatile organic compounds can be analyzed to identify the individual chemical elements as well as their pattern of expression to reproduce a sensorial combination similar to a fingerprint (breathprint). The e-nose can be used alone, mimicking the combinatorial selectivity of the human olfactory system, or as part of a multisensorial platform. This review analyzes the progress made by investigators interested in this technology as well as the perspectives for its future utilization.
Copyright © 2018 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Breathprint; Electronic nose; Lung cancer

Mesh:

Substances:

Year:  2018        PMID: 29526822     DOI: 10.1016/j.jtho.2018.02.026

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  5 in total

1.  An Experimental Apparatus for E-Nose Breath Analysis in Respiratory Failure Patients.

Authors:  Carmen Bax; Stefano Robbiani; Emanuela Zannin; Laura Capelli; Christian Ratti; Simone Bonetti; Luca Novelli; Federico Raimondi; Fabiano Di Marco; Raffaele L Dellacà
Journal:  Diagnostics (Basel)       Date:  2022-03-22

2.  Association between microRNA 25 expression in serum and lung cancer: A protocol for systematic review and meta-analysis.

Authors:  Peng Luo; Feng Qiao; Peng-Hui Dou; Shu-Min Li; Tian-Lu Zhang; Yu-Tong Xing; Gang Zhou; Su-Kun Xu; Jia-Bin Sun
Journal:  Medicine (Baltimore)       Date:  2020-05       Impact factor: 1.889

3.  COL1A1 is a prognostic biomarker and correlated with immune infiltrates in lung cancer.

Authors:  Qishun Geng; Zhibo Shen; Lifeng Li; Jie Zhao
Journal:  PeerJ       Date:  2021-03-30       Impact factor: 2.984

Review 4.  Emerging non-invasive detection methodologies for lung cancer.

Authors:  Zhen Li; Jinian Shu; Bo Yang; Zuojian Zhang; Jingyun Huang; Yang Chen
Journal:  Oncol Lett       Date:  2020-03-12       Impact factor: 2.967

5.  Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives.

Authors:  Lyudmila V Bel'skaya; Elena A Sarf; Victor K Kosenok; Ivan A Gundyrev
Journal:  Diagnostics (Basel)       Date:  2020-03-27
  5 in total

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