Aberrantly methylated DNA is found abundantly in all forms of cancer and the tumors that produce them. In fact, it has been estimated that within the cells of every tumor are several hundreds of aberrantly methylated CpG islands, many of which are promoters of tumor suppressor genes. The ability to detect and quantify promoter methylation will allow much more refined diagnostic and prognostic stratification. Recently, several groups including ours have reported the detection of tumor-associated methylated DNA circulating in serum/plasma. The use of circulating methylated DNA is a particularly attractive for screening and companion diagnostics for cancer, as serum/plasma is obtained through a simple, relatively noninvasive procedure. Currently, detection of circulating methylated DNA is mainly performed using bisulfite-based methods such as methylation specific PCR (MSP) due to their high sensitivity and specificity. However, clinical applications of these tests have been encumbered by a number of hurdles, resulting in highly variable success. For any bisulfite based methods, the process of DNA extraction and bisulfite conversion involves several disconnected steps on different platforms, resulting in substantial sample loss. Furthermore, MSP is designed to detect a specific methylation pattern; however, the promoter methylation patterns may be highly variable in tumors, compromising its clinical sensitivity. While sequence-based methods including bisulfite sequencing and pyrosequencing can be used to analyze methylation heterogeneity, these methods do not have the requisite sensitivity to detect the extremely low ratios (<0.1%) of methylated epialleles present in the bloodstream. In order to address these issues, we propose a streamlined methylation detection platform combining a silica paramagnetic bead (SSB)-based method for processing circulating DNA from large volume plasma samples to maximize assay fidelity and a microfluidic digital high resolution melt (HRM) approach for detecting and quantifying heterogeneous promoter epialleles at the single molecule level. A microfluidic device will be developed to facilitate high fidelity digital PCR and HRM in 1.6x106 microfluidic reaction chambers. A melt curve analysis program will be developed for analyzing the specific methylation allele in each reaction chamber according to the respective melt profile. The platform will be validated using both synthetic control samples and clinical samples from lung cancer patients undergoing epigenetic therapy. The proposed technology will enable detection and quantification of heterogeneous methylation with a low LOD (<10 copies of methylated DNA in ? 2 ml plasma sample), high sensitivity (1/100,000; methylated/unmethylated alleles) and a wide dynamic range (7 orders of magnitude), a level of performance unattainable by any other existing technologies (MSP, real- time qMSP and sequencing).

Public Health Relevance

The goal of the proposed project is to develop a microfluidic digital detection platform capable of detecting and quantifying circulating cell-free methylated DNA in blood, at the single molecule level, addressing the unmet clinical need of using circulating methylated DNA as biomarkers for cancer screening and companion diagnostics.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA186809-02
Application #
8892126
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Krueger, Karl E
Project Start
2014-09-01
Project End
2017-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
O'Keefe, Christine M; Pisanic 2nd, Thomas R; Zec, Helena et al. (2018) Facile profiling of molecular heterogeneity by microfluidic digital melt. Sci Adv 4:eaat6459
Pisanic 2nd, Thomas R; Athamanolap, Pornpat; Wang, Tza-Huei (2017) Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity. Semin Cell Dev Biol 64:5-17
Friedrich, Sarah M; Burke, Jeffrey M; Liu, Kelvin J et al. (2017) Molecular rheotaxis directs DNA migration and concentration against a pressure-driven flow. Nat Commun 8:1213
Friedrich, Sarah M; Zec, Helena C; Wang, Tza-Huei (2016) Analysis of single nucleic acid molecules in micro- and nano-fluidics. Lab Chip 16:790-811
Stark, Alejandro; Shin, Dong Jin; Pisanic 2nd, Thomas et al. (2016) A parallelized microfluidic DNA bisulfite conversion module for streamlined methylation analysis. Biomed Microdevices 18:5
Pisanic 2nd, Thomas R; Athamanolap, Pornpat; Poh, Weijie et al. (2015) DREAMing: a simple and ultrasensitive method for assessing intratumor epigenetic heterogeneity directly from liquid biopsies. Nucleic Acids Res 43:e154
Rane, Tushar D; Chen, Liben; Zec, Helena C et al. (2015) Microfluidic continuous flow digital loop-mediated isothermal amplification (LAMP). Lab Chip 15:776-82
Guan, Weihua; Chen, Liben; Rane, Tushar D et al. (2015) Droplet Digital Enzyme-Linked Oligonucleotide Hybridization Assay for Absolute RNA Quantification. Sci Rep 5:13795