Chang, Zhili

Abstract Background Microsatellite instability (MSI) is a molecular phenotype characterized by the lengthening or shortening of tandem DNA repeats within the human genome. MSI phenomenon has been reported in various solid tumors as the consequence of DNA mismatch repair deficiency. It is generally associated with good prognosis and effective immunotherapy treatment. The current MSI tests are based on various methodologies, including immunohistochemistry, polymerase chain reactions, or next-generation sequencing (NGS). Each testing methodology has its own technical advantages, but they either fail at liquid biopsy specimen or implement complicated and expensive experimental interventions. Methods A designated analysis pipeline was developed individually for tissue biopsy and liquid biopsy to evaluate the stability of MSI sites within a NGS panel testing targeting over 400 genes at a common depth of coverage (<1000X for tissue biopsy and <5000X for liquid biopsy). The liquid biopsy algorithm implements a signal enhancing module based on a pool of normal samples to boost assay performance. We validated the tissue biopsy testing with an exploratory cohort of 90 gastrointestinal tract cancer patients. Retrospective review of over 10,000 pan-cancer patient-matched tissue-cfDNA sample pairs permitted a comprehensive evaluation of the liquid biopsy MSI testing performance. Results For tissue biopsy specimen validation, the assay system displayed 0.97 area-under-the-curve (AUC) in receiver operative characteristics (ROC) curve analysis against the comparator assay, out-performing publicly available MSI analysis software. Unfortunately, the tissue MSI analysis pipeline and publicly available software fails with less than 10% sensitivity and 0.55 AUC when applied to liquid biopsy specimen with the patient-matched tissue MSI status used as the gold standard. In contrast, the dedicated cfDNA analysis pipeline significantly boosted the assay performance to 0.73 without additional experimental interventions, such as wild-type allele depletion or molecular barcode. Conclusions MSI testing in liquid biopsy specimen remains challenging due to the low fraction of tumor originated cfDNA and consequently weak signal intensity. The implementation of the signal enhancing MSI analysis algorithm demonstrated high proficiency at improving the signal-to-noise ratio. This bioinformatics approach offered a cost-effective and non-invasive alternative for MSI testing without significantly modifying the NGS library preparation protocols. Citation Format: Xiangyuan Ma, Hua Bao, Xiaoling Tong, Zhili Chang, Xunbiao Liu, Xiuyan Zhang, Ryan S. Robetyore, Xue Wu, Yang W. Shao. Validation of a NGS-based MSI testing workflow in liquid biopsy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 730.

Abstract Background Individual carrying germline mutations within BRCA1 or BRCA2 gene confers well-established increased risk of developing breast and ovarian cancers in the life-time than the general population. Recent advancement in clinical oncology and pharmacology discovered that poly ADP ribose polymerase (PARP) inhibitors are particularly effective in treating cancer that is homologous recombination deficient (HRD) through synthetic lethality, irrespective of the primary tumor site or the type of the BRCA1/2 inactivation variant. Methods A dedicated next-generation sequencing (NGS) panel was designed to interrogate the mutational status of BRCA1/2 and 18 other HRD-associated genes. Using a cohort of 522 clinical samples and artificially engineered cell line samples, we evaluated the mutation detection proficiency for single nucleotide variant (SNV) and small insertion or deletion (Indel) variants. BRCA1/2 inactivation is often the consequence of large genomic rearrangement (LGR) within the gene and phenotypically shown as exon-level copy number variant (CNV). Given the technical challenge of accurate exon-level CNV detection within a small panel, we developed a noise-reduction model based on a pool of normal (PON) samples for CNV result analysis. We further designed droplet digital polymerase chain reaction (ddPCR) for each exon of BRCA1/2 to verify the exonic CNV findings. Results Using a comparator assay as the gold standard, the BRCA1/2 panel achieved an accuracy of 96.7%, a precision of 98.9%, and a lower limit of detection of 3% variant allelic frequency (VAF) for SNV and Indel. The CNV pipeline achieved 97.8% sensitivity and 99.7% specificity for exonic CNV events that were supported by at least one piece of secondary evidence, out-performing publicly available software. The ddPCR verification further enhances assay accuracy and provides a significantly improved statistically confidence for the final CNV calls unparalleled by any other experimental methodologies. Conclusions Using a large cohort of clinical samples, the authors demonstrated the proficiency of a targeted NGS approach for variant and LGR detection of BRCA1/2 and the other genes of the DNA damage repair pathway. An effective method was developed to suppress the noise within the NGS-derived CNV profile, which is exaggerated by the small panel size and short targeted regions. The authors would also like to call the researcher's attention to a critical caveat within the CNV testing results generated from NGS-based methods. Citation Format: Xiangyuan Ma, Hua Bao, Zhili Chang, Yong Wu, Changwan Du, Rong Gao, Yu Song, Ryan S. Robetyore, Xue Wu, Yang W. Shao. Technical validation of a NGS-based analysis pipeline for BRCA1/2 variants and large genomic rearrangements detection [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4268.