Talks and Poster Presentations (with Proceedings-Entry):

A. Weinhäusel:
"Diagnostic Performance of Plasma DNA Methylation Profiles in Lung Cancer, Pulmonary Fibrosis and COPD";
Talk: qPCR dPCR & NGS 2017, 8th international Gene Quantification Event, Freising-Weihenstephan (invited); 04-03-2017 - 04-07-2017; in: "qPCR dPCR & NGS 2017, 8th international Gene Quantification Event", A. Weinhäusel, M. Wielscher, K. Vierlinger, R. Ziesche, A. Gsur, Ch. Nöhammer (ed.); Biomolecular Detection and Quantification Elsevier, 2017 (2017), 100 pages.



English abstract:
Diagnostic Performance of Plasma DNA Methylation Profiles in Lung Cancer, Pulmonary Fibrosis and COPD
Andreas Weinhäusel1, Matthias Wielscher1, Klemens Vierlinger1, Rolf Ziesche2, Andrea Gsur2, Christa Noehammer1
1AIT Austrian Institute of Technology GmbH, Molekulare Diagnostik, Austria; 2Medical University Vienna, Austria
Disease-specific alterations of the cell-free DNA methylation status are frequently found in serum samples and are currently considered to be suitable biomarkers. Candidate markers were identified by bisulfite conversion-based genome-wide methylation screening of lung tissue from lung cancer, fibrotic ILD, and COPD. cfDNA from 400 Îl serum(n=204) served to test the diagnostic performance of these markers. Following methylation-sensitive restriction enzyme digestion and enrichment of methylated DNA via targeted amplification (multiplexed MSRE enrichment), a total of 96 markers were addressed by highly parallel qPCR.
Lung cancer was efficiently separated from non-cancer and controls with a sensitivity of 87.8%, (95%CI: 0.67-0.97) and specificity 90.2%, (95%CI: 0.65-0.98). Cancer was distinguished from ILD with a specificity of 88%, (95%CI: 0.57-1), and COPD from cancer with a specificity of 88% (95%CI: 0.64-0.97). Separation of ILD from COPD and controls was possible with a sensitivity of 63.1% (95%CI: 0.4-0.78) and a specificity of 70% (95%CI: 0.54-0.81). The results were confirmed using an independent sample set (n = 46) by use of the four top markers discovered in the study (HOXD10, PAX9, PTPRN2, and STAG3) yielding an AUC of 0.85 (95%CI: 0.72-0.95). This technique was capable of distinguishing interrelated complex pulmonary diseases suggesting that multiplexed MSRE enrichment might be useful for simple and reliable diagnosis of diverse multifactorial disease states.

Created from the Publication Database of the AIT Austrian Institute of Technology.