Detection and quantitation of nucleic acid sequences bearing rare cancer driver mutations is currently used to inform clinical treatment decisions such as use or discontinuation or therapeutics. DNA diagnostics can also be used to perform noninvasive early-stage cancer screening based on cell-free nucleic acids, but requires the development of an inexpensive, multiplex, and mutation-sensitive platform. Current methods to detect rare mutations exhibit either low mutation sensitivity (NGS) or poor multiplexing (digital PCR), and are frequently expensive and/or labor-intensive (both NGS and digital PCR). The PI proposes to develop a PCR platform capable of simultaneous analysis of 1000 point mutations at 0.1% single-base mutation sensitivity from a single 10 ng DNA sample. The polymerase chain reaction (PCR) remains most robust, simple, sensitive, and popular method for DNA diagnostics. Allele-specific PCR primers can discriminate single nucleotide variants (SNVs) at roughly 1 part in 100, but it is difficult to design primers that can function in a highly (>10) multiplexed setting while preserving high SNV selectivity. NGS has been adopted by researchers and clinicians for highly multiplexed genetic analysis of cancer tissue samples, but it is not practical to obtain sufficient read depth to allow <0.1% mutation sensitivity. Imperfect solutions to the multiplexing limitation of PCR include (1) sample splitting, which requires significantly larger sample input quantities to preserve clinical sensitivity, and (2) nested PCR/pre-amplification which necessitates complex equipment or an open-tube step that risks contamination. The two primary challenges for highly multiplexed allele-specific PCR are (1) temperature robustness and (2) primer-dimer suppression. Allele-specific PCR primers are capable of rare allele detection/amplification only within a narrow window of about 1 C, the exact value of which cannot be accurately predicted from sequence. The PI is developing novel primers that are sensitive to single-base mutations at 0.1% allele frequency across a window of 8 C; this broad temperature robustness overcomes the difficulty of empirically optimizing many primers to have the same melting temperature. PCR primers in general can spuriously hybridize to each other and form primer-dimers that result in nonsense amplification products; primer design grows sharply more difficult as the number of primers simultaneously in solution increases. The PI is developing novel primers that are mostly double-stranded and thus significantly less likely to result in primer-dimer interactions; the suppression of nonspecific primer hybridization enables PCR with significantly higher multiplexing. Finally, the research team will develop a novel on-chip convection PCR instrument with an integrated multiplexed array-based readout. Importantly, no open-tube transfer of PCR amplicons is necessary, preventing contamination that leads to false positive. Significant preliminary data has been obtained for all three aspects of the proposed research project, and the research team plans to apply the developed technology initially to retrospective analysis of non-small cell lung cancer (NSCLC) patient blood samples.

Public Health Relevance

The polymerase chain reaction (PCR) is a powerful method to detect specific DNA and RNA sequences that act as cancer biomarkers. However, the simultaneous accurate amplification of multiple rare sequences (multiplexed allele-specific PCR) is difficult to reliably design and achieve. This project proposes new primers and instruments that allow improved mutation sensitivity and multiplexing for DNA detection, with important application in lung cancer early detection and recurrence detection.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA203964-04
Application #
9675243
Study Section
Instrumentation and Systems Development Study Section (ISD)
Program Officer
Mckee, Tawnya C
Project Start
2016-04-01
Project End
2021-03-31
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
4
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Rice University
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
050299031
City
Houston
State
TX
Country
United States
Zip Code
77005