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  Non-invasive lung cancer diagnosis by detection of GATA6 and NKX2-1 isoforms in exhaled breath condensate

Mehta, A., Cordero Henriquez, J. D., Dobersch, S., Romero-Olmedo, Addi J. (Max Planck Institute for Heart and Lung Research, Lung Cancer Epigenetics), A. J., Savai, R., Bodner, J., et al. (2016). Non-invasive lung cancer diagnosis by detection of GATA6 and NKX2-1 isoforms in exhaled breath condensate. EMBO MOLECULAR MEDICINE, 8(12), 1380-1389. doi:10.15252/emmm.201606382.

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 Creators:
Mehta, Aditi1, Author              
Cordero Henriquez, Julio Domingo2, Author              
Dobersch, Stephanie1, Author              
Romero-Olmedo, Addi J. (Max Planck Institute for Heart and Lung Research, Lung Cancer Epigenetics), Addi J., Author
Savai, Rajkumar3, Author              
Bodner, Johannes, Author
Chao, Cho-Ming, Author
Fink, Ludger, Author
Guzman-Diaz, Ernesto, Author
Singh, Indrabahadur1, Author              
Dobreva, Gergana2, Author              
Rapp, Ulf R.3, Author              
Guenther, Stefan4, Author              
Ilinskaya, Olga N., Author
Bellusci, Saverio, Author
Dammann, Reinhard H., Author
Braun, Thomas4, Author              
Seeger, Werner3, Author              
Gattenloehner, Stefan, Author
Tresch, Achim, Author
Guenther, Andreas, AuthorBarreto, Guillermo1, Author               more..
Affiliations:
1Lung Cancer Epigenetics, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591699              
2Origin of Cardiac Cell Lineages, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591700              
3Lung Development and Remodeling, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591698              
4Cardiac Development and Remodeling, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591698              

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Free keywords: RISK PREDICTION MODEL; UNRESOLVED QUESTIONS; COMPUTED-TOMOGRAPHY; MORTALITY; SMOKERSResearch & Experimental Medicine; EBC; GATA6; lung cancer; molecular diagnostics; NKX2-1;
 Abstract: Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Early LC diagnosis is crucial to reduce the high case fatality rate of this disease. In this case-control study, we developed an accurate LC diagnosis test using retrospectively collected formalin-fixed paraffin-embedded (FFPE) human lung tissues and prospectively collected exhaled breath condensates (EBCs). Following international guidelines for diagnostic methods with clinical application, reproducible standard operating procedures (SOP) were established for every step comprising our LC diagnosis method. We analyzed the expression of distinct mRNAs expressed from GATA6 and NKX2-1, key regulators of lung development. The Em/Ad expression ratios of GATA6 and NKX2-1 detected in EBCs were combined using linear kernel support vector machines (SVM) into the LC score, which can be used for LC detection. LC score-based diagnosis achieved a high performance in an independent validation cohort. We propose our method as a non-invasive, accurate, and low-price option to complement the success of computed tomography imaging (CT) and chest X-ray (CXR) for LC diagnosis.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published in print
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000389303100004
DOI: 10.15252/emmm.201606382
 Degree: -

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Title: EMBO MOLECULAR MEDICINE
Source Genre: Journal
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Publ. Info: 111 RIVER ST, HOBOKEN 07030-5774, NJ USA : WILEY
Pages: - Volume / Issue: 8 (12) Sequence Number: - Start / End Page: 1380 - 1389 Identifier: ISSN: 1757-4676