Universität zu Köln

Mehta, Aditi, Cordero, Julio, Dobersch, Stephanie, Romero-Olmedo, Addi J., Savai, Rajkumar, Bodner, Johannes, Chao, Cho-Ming, Fink, Ludger, Guzman-Diaz, Ernesto, Singh, Indrabahadur ORCID: 0000-0002-1474-7928, Dobreva, Gergana ORCID: 0000-0002-4814-9416, Rapp, Ulf R., Guenther, Stefan, Ilinskaya, Olga N., Bellusci, Saverio, Dammann, Reinhard H., Braun, Thomas ORCID: 0000-0002-6165-4804, Seeger, Werner ORCID: 0000-0003-1946-0894, Gattenloehner, Stefan, Tresch, Achim, Guenther, Andreas and Barreto, Guillermo ORCID: 0000-0002-7777-4712 (2016). Non-invasive lung cancer diagnosis by detection of GATA6 and NKX2-1 isoforms in exhaled breath condensate. EMBO Mol. Med., 8 (12). S. 1380 - 1390. HOBOKEN: WILEY. ISSN 1757-4684

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Mehta, Aditi UNSPECIFIED UNSPECIFIED UNSPECIFIED Cordero, Julio UNSPECIFIED UNSPECIFIED UNSPECIFIED Dobersch, Stephanie UNSPECIFIED UNSPECIFIED UNSPECIFIED Romero-Olmedo, Addi J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Savai, Rajkumar UNSPECIFIED UNSPECIFIED UNSPECIFIED Bodner, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Chao, Cho-Ming UNSPECIFIED UNSPECIFIED UNSPECIFIED Fink, Ludger UNSPECIFIED UNSPECIFIED UNSPECIFIED Guzman-Diaz, Ernesto UNSPECIFIED UNSPECIFIED UNSPECIFIED Singh, Indrabahadur UNSPECIFIED orcid.org/0000-0002-1474-7928 UNSPECIFIED Dobreva, Gergana UNSPECIFIED orcid.org/0000-0002-4814-9416 UNSPECIFIED Rapp, Ulf R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Guenther, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Ilinskaya, Olga N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bellusci, Saverio UNSPECIFIED UNSPECIFIED UNSPECIFIED Dammann, Reinhard H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Braun, Thomas UNSPECIFIED orcid.org/0000-0002-6165-4804 UNSPECIFIED Seeger, Werner UNSPECIFIED orcid.org/0000-0003-1946-0894 UNSPECIFIED Gattenloehner, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Tresch, Achim UNSPECIFIED UNSPECIFIED UNSPECIFIED Guenther, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Barreto, Guillermo UNSPECIFIED orcid.org/0000-0002-7777-4712 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-254733
DOI:	10.15252/emmm.201606382
Journal or Publication Title:	EMBO Mol. Med.
Volume:	8
Number:	12
Page Range:	S. 1380 - 1390
Date:	2016
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1757-4684
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language RISK PREDICTION MODEL Multiple languages Medicine, Research & Experimental Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/25473