Non-invasive lung cancer diagnosis by detection of GATA6 and NKX2-1 isoforms in exhaled breath condensate
| Autor: | Olga N. Ilinskaya, Johannes Bodner, Andreas Günther, Stephanie Dobersch, Stefan Günther, Indrabahadur Singh, Thomas Braun, Addi J. Romero-Olmedo, Cho-Ming Chao, Rajkumar Savai, Julio Cordero, Guillermo Barreto, Werner Seeger, Gergana Dobreva, Severio Bellusci, Reinhard Dammann, Ulf R. Rapp, Aditi Mehta, Achim Tresch, Stefan Gattenlöhner, Ernesto Guzman-Diaz, Ludger Fink |
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| Rok vydání: | 2016 |
| Předmět: |
Lung Neoplasms
Operating procedures Thyroid Nuclear Factor 1 Respiratory System Decision Support Techniques Human lung molecular diagnostics GATA6 GATA6 Transcription Factor Report medicine Humans Protein Isoforms Exhaled breath condensate Prospective Studies Lung cancer Retrospective Studies Cancer Biomarkers & Diagnostic Imaging Lung business.industry Non invasive Nuclear Proteins medicine.disease lung cancer medicine.anatomical_structure Breath Tests Case-Control Studies EBC business Nuclear medicine NKX2-1 Transcription Factors Reports NKX2‐1 |
| Zdroj: | SCOPUS17574676-2016-8-12-SID84998785489 EMBO Molecular Medicine |
| Popis: | 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. Ref: Mehta A, Cordero J, et al., (2016) EMBO Mol Med; 8, 1380-1389 Mehta A, et al., (2015) Cancer Metast Rev; Jun;34(2):229-41 Mehta A, et al., (2015) Int. J. Mol. Sci; Feb 25;16(3):4492-511 |
| Databáze: | OpenAIRE |
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