MethyLight droplet digital PCR for detection and absolute quantification of infrequently methylated alleles

Aberrant DNA methylation is a common epigenetic alteration found in colorectal adenomas and cancers and plays a role in cancer initiation and progression. Aberrantly methylated DNA loci can also be found infrequently present in normal colon tissue, where they seem to have potential to be used as colorectal cancer (CRC) risk biomarkers. However, detection and precise quantification of the infrequent methylation events seen in normal colon is likely beyond the capability of commonly used PCR technologies. To determine the potential for methylated DNA loci as CRC risk biomarkers, we developed MethyLight droplet digital PCR (ddPCR) assays and compared their performance to the widely used conventional MethyLight PCR. Our analyses demonstrated the capacity of MethyLight ddPCR to detect a single methylated NTRK3 allele from among more than 3125 unmethylated alleles, 25-fold more sensitive than conventional MethyLight PCR. The MethyLight ddPCR assay detected as little as 19 and 38 haploid genome equivalents of methylated EVL and methylated NTRK3, respectively, which far exceeded conventional MethyLight PCR (379 haploid genome equivalents for both genes). When assessing methylated EVL levels in CRC tissue samples, MethyLight ddPCR reduced coefficients of variation (CV) to 6–65% of CVs seen with conventional MethyLight PCR. Importantly, we showed the ability of MethyLight ddPCR to detect infrequently methylated EVL alleles in normal colon mucosa samples that could not be detected by conventional MethyLight PCR. This study suggests that the sensitivity and precision of methylation detection by MethyLight ddPCR enhances the potential of methylated alleles for use as CRC risk biomarkers.

[1]  Sijia Lu,et al.  Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications. , 2015, Annual review of genomics and human genetics.

[2]  R. Strausberg,et al.  Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[3]  A. Jemal,et al.  Colorectal cancer statistics, 2014 , 2014, CA: a cancer journal for clinicians.

[4]  Christopher M. Hindson,et al.  Absolute quantification by droplet digital PCR versus analog real-time PCR , 2013, Nature Methods.

[5]  J. Lutterbaugh,et al.  NTRK3 Is a Potential Tumor Suppressor Gene Commonly Inactivated by Epigenetic Mechanisms in Colorectal Cancer , 2013, PLoS genetics.

[6]  Jeff Mellen,et al.  High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number , 2011, Analytical chemistry.

[7]  K. Kinzler,et al.  Detection and quantification of rare mutations with massively parallel sequencing , 2011, Proceedings of the National Academy of Sciences.

[8]  H. Tapp,et al.  Patterns of DNA methylation in individual colonic crypts reveal aging and cancer-related field defects in the morphologically normal mucosa. , 2010, Carcinogenesis.

[9]  Kellie J. Archer,et al.  High-throughput assessment of CpG site methylation for distinguishing between HCV-cirrhosis and HCV-associated hepatocellular carcinoma , 2010, Molecular Genetics and Genomics.

[10]  M. Esteller,et al.  Frequent loss of endothelin-3 (EDN3) expression due to epigenetic inactivation in human breast cancer , 2009, Breast Cancer Research.

[11]  L. Hansen,et al.  Methylation-sensitive high-resolution melting , 2012 .

[12]  Peter A. Jones,et al.  DNA methylation analysis by digital bisulfite genomic sequencing and digital MethyLight , 2008, Nucleic acids research.

[13]  M. Washington,et al.  Epigenetic silencing of the intronic microRNA hsa-miR-342 and its host gene EVL in colorectal cancer , 2008, Oncogene.

[14]  D. Ahlquist,et al.  A novel method to capture methylated human DNA from stool: implications for colorectal cancer screening. , 2007, Clinical chemistry.

[15]  Gary L Rosner,et al.  Tumour vasculature: On the verge of collapse , 2005, Nature Reviews Cancer.

[16]  P. Laird,et al.  Gene-Specific Methylation and Subsequent Risk of Colorectal Adenomas among Participants of the Polyp Prevention Trial , 2005, Cancer Epidemiology Biomarkers & Prevention.

[17]  N Andrieu,et al.  Familial relative risk of colorectal cancer: a population-based study. , 2003, European journal of cancer.

[18]  M. Lawson,et al.  Sensitivity and specificity of a stool DNA multitarget assay panel for the detection of advanced colorectal neoplasia. , 2003, Clinical colorectal cancer.

[19]  Xinjun Li,et al.  Familial colorectal adenocarcinoma from the Swedish family‐cancer database , 2001, International journal of cancer.

[20]  R. Houlston,et al.  A systematic review and meta-analysis of familial colorectal cancer risk , 2001, American Journal of Gastroenterology.

[21]  S. Baylin,et al.  Aging and DNA methylation in colorectal mucosa and cancer. , 1998, Cancer research.

[22]  G A Colditz,et al.  A prospective study of family history and the risk of colorectal cancer. , 1994, The New England journal of medicine.

[23]  M. Slattery,et al.  Family history of cancer and colon cancer risk: the Utah Population Database. , 1994, Journal of the National Cancer Institute.

[24]  D. Slaughter,et al.  “Field cancerization” in oral stratified squamous epithelium. Clinical implications of multicentric origin , 1953, Cancer.

[25]  Julian P T Higgins,et al.  Relative and absolute risk of colorectal cancer for individuals with a family history: a meta-analysis. , 2006, European journal of cancer.

[26]  J. Hardcastle,et al.  Colorectal cancer , 1993, Europe Against Cancer European Commission Series for General Practitioners.