Literature DB >> 29212414

A suite of DNA methylation markers that can detect most common human cancers.

Lukas Vrba1, Bernard W Futscher1,2.   

Abstract

Cancer-specific DNA methylation from the tumor derived fraction of cell free DNA found in blood samples could be used for minimally invasive detection and monitoring of cancer. The knowledge of marker regions with cancer-specific DNA methylation is necessary to the success of such a process. We analyzed the largest cancer DNA methylation dataset available-TCGA Illumina HumanMethylation450 data with over 8,500 tumors-in order to find cancer-specific DNA methylation markers for most common human cancers. First, we identified differentially methylated regions for individual cancer types and those were further filtered against data from normal tissues to obtain marker regions with cancer-specific methylation, resulting in a total of 1,250 hypermethylated and 584 hypomethylated marker CpGs. From hypermethylated markers, optimal sets of six markers for each TCGA cancer type were chosen that could identify most tumors with high specificity and sensitivity [area under the curve (AUC): 0.969-1.000] and a universal 12 marker set that can detect tumors of all 33 TCGA cancer types (AUC >0.84). In addition to hundreds of new DNA methylation markers, our approach also identified markers that are in current clinical use, SEPT9 and GSTP1, indicating the validity of our approach and a significant potential utility for the newly discovered markers. The hypermethylated markers are linked to polycomb associated loci and a significant fraction of the discovered markers is within noncoding RNA genes; one of the best markers is MIR129-2. Future clinical testing of herein discovered markers will confirm new markers that will improve minimally invasive diagnosis and monitoring for multiple cancers.

Entities:  

Keywords:  Cancer marker; DNA methylation; TCGA

Mesh:

Substances:

Year:  2018        PMID: 29212414      PMCID: PMC5836970          DOI: 10.1080/15592294.2017.1412907

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  54 in total

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  20 in total

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2.  Tumor DNA Methylation Profiles Enable Diagnosis, Prognosis Prediction, and Screening for Cervical Cancer.

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Review 7.  DNA hypermethylation in disease: mechanisms and clinical relevance.

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8.  DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients.

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Review 9.  Cell-Free DNA Methylation Profiling Analysis-Technologies and Bioinformatics.

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