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Multiplexed DNA Methylation Analysis in Colorectal Cancer Using Liquid Biopsy and Its Diagnostic and Predictive Value
Authors:Walter Pulverer,Kristi Kruusmaa,Silvia Schö  nthaler,Jasmin Huber,Marko Bitenc,Thomas Bachleitner-Hofmann,Jagdeep Singh Bhangu,Rudolf Oehler,Gerda Egger,Andreas Weinhä  usel
Affiliation:1.Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria; (S.S.); (J.H.); (A.W.);2.Universal Diagnostics S.L., 41013 Seville, Spain;3.Geneplanet d.o.o., 1000 Ljubljana, Slovenia;4.Department of Surgery, Medical University of Vienna, 1090 Vienna, Austria; (T.B.-H.); (J.S.B.); (R.O.);5.Clinical Institute of Pathology, Medical University of Vienna, 1090 Vienna, Austria;6.Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria
Abstract:Early diagnosis of colorectal cancer (CRC) is of high importance as prognosis depends on tumour stage at the time of diagnosis. Detection of tumour-specific DNA methylation marks in cfDNA has several advantages over other approaches and has great potential for solving diagnostic needs. We report here the identification of DNA methylation biomarkers for CRC and give insights in our methylation-sensitive restriction enzyme coupled qPCR (MSRE-qPCR) system. Targeted microarrays were used to investigate the DNA methylation status of 360 cancer-associated genes. Validation was done by qPCR-based approaches. A focus was on investigating marker performance in cfDNA from 88 patients (44 CRC, 44 controls). Finally, the workflow was scaled-up to perform 180plex analysis on 110 cfDNA samples, to identify a DNA methylation signature for advanced colonic adenomas (AA). A DNA methylation signature (n = 44) was deduced from microarray experiments and confirmed by quantitative methylation-specific PCR (qMSP) and by MSRE-qPCR, providing for six genes’ single areas under the curve (AUC) values of >0.85 (WT1, PENK, SPARC, GDNF, TMEFF2, DCC). A subset of the signatures can be used for patient stratification and therapy monitoring for progressed CRC with liver metastasis using cfDNA. Furthermore, we identified a 35-plex classifier for the identification of AAs with an AUC of 0.80.
Keywords:DNA methylation   colorectal cancer   biomarker   liquid biopsy   cfDNA
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