This 2-year R21 project will demonstrate that newly developed genome amplification and analysis technologies lead to highly improved sensitivity in detecting circulating nucleic acids of tumor origin in the plasma of patients with cancer. In particular, we have developed a new technology, Restriction and Circularization-Aided Rolling Circle Amplification, RCA-RCA that allows comprehensive whole genome amplification from DNA that has undergone fragmentation (i.e. the method is tolerant to sample degradation). As such, it can amplify fragmented nucleic acids circulating in human plasma, including tumor-derived DNA that is used as a biomarker for early tumor detection and disease monitoring in cancer. In a modified protocol, RCA-RCA can also achieve whole methylome amplification, i.e., it preserves epigenetic changes so that methylation can be studied on a high throughput basis in the amplified material.
We aim to demonstrate that whole genome/methylome amplification enables highly improved detection of tumor-derived genetic or epigenetic alterations in blood plasma by providing unlimited material for high- throughput molecular analysis and by allowing high sensitivity and identification of new biomarkers via microarray analysis of plasma-circulating DNA. The proposed study will focus on colon cancer. The premise of this proposal is that, in early colon cancer, tumor DNA is circulating in the plasma but often goes undetected due to limitations in the detection method(s) and the material available. By enabling 'target magnification' and application of high-throughput genome analysis we aim to achieve highly improved sensitivity and reliability in detecting circulating nucleic acids of tumor origin in plasma. Furthermore, the present whole genome amplification enables plasma-DNA archives to be established that enable future retrospective studies to be conducted on the same samples for evaluation of new biomarkers and sharing of material among investigators. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA115439-02
Application #
7232455
Study Section
Cancer Biomarkers Study Section (CBSS)
Program Officer
Wagner, Paul D
Project Start
2006-05-08
Project End
2009-04-30
Budget Start
2007-05-01
Budget End
2009-04-30
Support Year
2
Fiscal Year
2007
Total Cost
$158,182
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
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Milbury, Coren A; Li, Jin; Makrigiorgos, G Mike (2009) PCR-based methods for the enrichment of minority alleles and mutations. Clin Chem 55:632-40
Li, Jin; Makrigiorgos, G Mike (2009) COLD-PCR: a new platform for highly improved mutation detection in cancer and genetic testing. Biochem Soc Trans 37:427-32
Mamon, Harvey; Hader, Carlos; Li, Jin et al. (2008) Preferential amplification of apoptotic DNA from plasma: potential for enhancing detection of minor DNA alterations in circulating DNA. Clin Chem 54:1582-4
Li, Jin; Wang, Lilin; Mamon, Harvey et al. (2008) Replacing PCR with COLD-PCR enriches variant DNA sequences and redefines the sensitivity of genetic testing. Nat Med 14:579-84
Bonanno, Cinzia; Shehi, Erlet; Adlerstein, Daniel et al. (2007) MS-FLAG, a novel real-time signal generation method for methylation-specific PCR. Clin Chem 53:2119-27
Li, Jin; Makrigiorgos, G Mike (2007) Anti-primer quenching-based real-time PCR for simplex or multiplex DNA quantification and single-nucleotide polymorphism genotyping. Nat Protoc 2:50-8
Amicarelli, Giulia; Shehi, Erlet; Makrigiorgos, G Mike et al. (2007) FLAG assay as a novel method for real-time signal generation during PCR: application to detection and genotyping of KRAS codon 12 mutations. Nucleic Acids Res 35:e131
Li, Jin; Berbeco, Ross; Distel, Robert J et al. (2007) s-RT-MELT for rapid mutation scanning using enzymatic selection and real time DNA-melting: new potential for multiplex genetic analysis. Nucleic Acids Res 35:e84
Wang, Fengfei; Wang, Lilin; Briggs, Christine et al. (2007) DNA degradation test predicts success in whole-genome amplification from diverse clinical samples. J Mol Diagn 9:441-51

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