Abstract

Abstract In the context of personalized cancer treatment, tumor mutational analysis by DNA sequencing has been described frequently as the “gold standard”, yet DNA sequencing is one of the least sensitive methods for characterizing mutation. At least 10-20% of a DNA population must be mutant for the mutation to be detected by standard DNA sequencing. Implicit acceptance that this level of sensitivity is sufficient to characterize tumor mutations only makes sense if one assumes that tumors are monoclonal and that all the critical driver mutations will be present in the bulk of the tumor. Yet these are incorrect assumptions. In fact, it has become clear that most if not all colon tumors are polyclonal and heterogeneous. Consequently, tumor driver mutations may not be detectable using standard DNA sequencing methods. In order to rapidly detect these low frequency mutations in tumor derived DNA we have developed a new technology that allows the detection of tumor driver and drug resistance somatic mutations at <0.1% sensitivity using quantitative PCR (qPCR) without the need for digital PCR or droplet digital PCR (ddPCR) methodology. We utilize xeno-nucleic acid (XNA) clamping probes that are specific for the target gene wild-type template and allow only the selective amplification of mismatched mutant templates. Direct detection of driver and drug resistance mutations within 2 hours of obtaining samples in KRAS, NRAS, BRAF, EGFR and JAK2 utilizing real-time qPCR with interchelating fluorescence dye detection. As well as a new end-point post-PCR microtiterplate based target gene mutant amplicon capture format that utilizes colorimetric or chemiluminescence detection will be described. Citation Format: Michael J. Powell, Larry Pastor, Rachel Diaz, Lily Chen, George Wu, Claudia Li, Aiguo Zhang. Rapid detection of somatic mutations in cancer genes. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1503. doi:10.1158/1538-7445.AM2014-1503

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call