Abstract

Abstract Characterization of the somatic sequence variations that accrue in cells is critical for understanding the pronounced cellular and clinical heterogeneity observed in cancer. The ability to efficiently detect variations in tumors can help to identify biomarkers which may be relevant to clinical trials, support more accurate prognosis, and help guide more effective choices of therapy. Next-generation sequencing (NGS) has become a valuable tool for discovering somatic mutations in cancers. Here we present an alternative approach to current methodologies for addressing these needs. HEAT-Seq (High Efficiency Amplification of Targets for Sequencing) is a targeted NGS method based on optimized, multiplexed molecular inversion probes (MIPs). This is a convenient, sensitive and cost-effective target enrichment technology for SNP discovery and SNP validation in cancer-related genes. HEAT-Seq probes target both DNA strands and were designed to facilitate bioinformatic error correction. Molecule identifiers (UIDs) incorporated into the probes tag PCR duplicates and support ultra-sensitive detection of low frequency variants, reduction of false positives, and accurate assessment of molecular complexity free of amplification bias. Sensitivities for allele detection have been measured to below 1%. The HEAT-Seq workflow from input DNA to sequence-ready sample can be completed in ≤8 hours without any requirement for a separate library preparation step, which saves both time and cost. Additionally, the capture, amplification and sample clean up steps are performed in a single reaction tube. This eliminates the need to transfer samples to subsequent reaction tubes, preserves sample identity, prevents cross contamination, limits sample loss, and makes the HEAT-Seq protocol easy to automate. A comparison of current PCR-based targeted sequencing with the new HEAT-Seq technology indicates significant advantages for HEAT-Seq in the accurate quantification of low frequency cancer variants. In summary, HEAT-Seq technology offers a rapid, convenient, automatable option to identify genomic DNA variants and enable advances in cancer research. Citation Format: Keynttisha Jefferson, Heather Halvensleben, Dawn Green, Ryan Bannen, Michael Brockman, Todd Richmond, Daniel Burgess. A novel molecular inversion probe (MIP) system for the streamlined identification of germline and somatic sequence variants in cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5223.

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