Abstract 3628: Improving sequencing quality of libraries prepared from FFPE DNA

Abstract

Abstract Targeted cancer therapy based on genomic alterations can be remarkably effective, and has made significant strides with the recent advances in next-generation sequencing (NGS) technology. Although samples of blood and other bodily fluids are being actively explored for early disease diagnosis and treatment monitoring, DNA isolated from FFPE samples is currently the main source for NGS-based cancer profiling in clinical settings. Unfortunately, sequencing DNA from FFPE samples is challenging due to limited quantities and poor quality, a result of DNA damage incurred during fixation and storage. Artifacts associated with FFPE DNA have limited the mutation detection sensitivity to ≥ 5% mutant allele frequency (Frampton et al, Nature Biotechnology 2013), which would unfortunately leave many low-abundance genetic variants of clinical significance undetected. For example, clinical resistance-causing KIT and EGFR mutations can be present in tumors at levels << 1% (Milbury et al, Clin. Chem. 2012). In this study, we investigated the effects of DNA repair and different sample handling workflows on sequencing quality of libraries prepared from FFPE samples. Careful analysis of sequencing data showed that base calling qualities for all 4 bases are improved, and aberrant G:C to A:T mutations were significantly reduced upon DNA repair. Because the large majority of mutations encountered in human tumors are G:C to A:T mutations (Greenman, C. Nature 2007), we expect that lowering the damage induced background noise of FFPE DNA would allow more reliable detection of clinically important, actionable mutations at lower abundance. In addition, we observed specific sequencing artifacts associated with the method of handling FFPE samples and have since identified effective measurements to avoid such artifacts. We expect that these improvements in sequencing quality of FFPE samples would ultimately enable more sensitive and robust detection of many low level genetic variations in clinically and biologically relevant cancer genes. Citation Format: pingfang liu, Lixin Chen, Laurence Ettwiller, Christine Sumner, Fiona J. Stewart, Eileen T. Dimalanta, Theodore B. Davis, Evans C. Thomas. Improving sequencing quality of libraries prepared from FFPE DNA. [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 3628.