Search

Circulating-free DNA (cfDNA) holds great potential for non-invasive somatic mutation detection in cancer patients as a so-called “liquid biopsy”. A liquid biopsy is especially valuable when tumor tissue is not available and for longitudinal monitoring of tumor burden or emerging resistance. In such cases, tumor-specific mutations are not known a priori and in order to detect tumor-derived somatic mutations it is best to interrogate a broad panel of cancer genes. The primary obstacle to sequencing cfDNA with broad mutation panels is achieving the necessary limit of detection to identify small amounts of tumor-derived cfDNA relative to the predominant wild-type cfDNA in the plasma of cancer patients. Tumor-derived cfDNA levels correlate with tumor stage, also making it an important consideration when investigating the sensitivity of this approach. We demonstrate the detection of somatic variants in several cancer genes in the plasma of early and late-stage colorectal cancer (CRC) patients by deep sequencing (> 8,000X) the cfDNA and matched normal DNA of N=33 CRC patients using the AmpliSeq cancer panel. The AmpliSeq panel requires less than 10ng of input DNA and amplifies hotspot loci of 50 known cancer genes for next-generation sequencing (NGS). We observe at least one somatic mutation with greater than 0.1% variant allele frequency in the cfDNA of all 33 CRC patients. We also show the sensitivity of detecting tumor-derived somatic mutations in cfDNA by exome sequencing of the primary tumor tissue. We find higher sensitivity for tumor mutations in cfDNA of late-stage patients compared to early-stage patients. Overall, we demonstrate the feasibility of using NGS on a small sized cancer panel for identifying somatic mutations, including those with low variant allele frequency, in cfDNA of early and late-stage CRC patients. Although a cfDNA approach holds promise as a tool to aid in pre-clinical and clinical research, more work is needed to understand its performance under different assay and disease conditions. Citation Format: Steven M. Bray, Philip J. Ebert, John N. Calley, Richard E. Higgs, Isabella H. Wulur, Swee Seong Wong, Candice L. Horn, Ricardo Martinez, Christoph Reinhard. Concordance of somatic mutations found in primary tumors and plasma circulating-free DNA from early and late-stage colorectal cancer patients. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; Jun 13-16, 2015; Salt Lake City, UT. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(1_Suppl):Abstract nr 29.

Introduction: Plasma cell-free circulating tumor DNA (ctDNA) has the potential to serve as a noninvasive surrogate to determine tumor genotype and monitor treatment response. Here we report the analytical validation of the Ion AmpliSeq v2 Cancer Panel (ACP) in plasma ctDNA samples. Methods: Mutations were assessed using the ACP, designed to survey 2800 mutations in 50 cancer-related genes. TruQ reference standards were used to determine LOD. Healthy donor and cancer patient plasma samples were used for other studies. Eight libraries were barcoded and sequenced with PGM sequencing 200 kit v2 on a 318 v2 chip. The sequencing data were analyzed with a combination of Torrent Suite 3.4.2, VarScan, our proprietary analysis pipeline and IGV. The background noise level of hotspot nt positions was calculated from multiple runs of known wild type DNA. In order to increase the sensitivity of the assay to detect low-level mutation, a custom program was developed to detect variants clearly different from background noise (95% confidence) and not reported by the two variant callers. PCR methods were used for concordance testing. Results: The performance characteristics of the AmpliSeq v2 Cancer Panel were demonstrated in 1) Minimum DNA input and LOD: With 10 ng DNA input, 43/43 and 42/43 expected mutations were detected at 2.5% or 1%, respectively. With 1 ng DNA input, 42/43 and 40/43 expected mutations were detected at 2.5% and 1%, respectively. 2) Coverage: The mean library coverage for 40 plasma libraries was 2912x with only 5 non-critical regions below 250x coverage. 3) Baseline error rate: 95% of 2290 hot-spots for SBS showed Conclusions: The ACP offers a useful tool for comprehensive somatic mutation profiling in ctDNA. The limit of detection is 1-2% mutation frequency for most mutations with slight variation across different nucleotide positions. The low concentration of ctDNA obtained from plasma samples can present a challenge. Less than 10 ng DNA input may result in allele drop out for low level mutations due to the inefficient amplification of multiplex PCR compared with PCR methods using a short length single amplicon. Higher DNA input to rescue allele drop-out is under evaluation. Citation Format: WeiHua Liu, Zhenyu Yan, Candice L. Horn, Fabio Nunes, Steven M. Bray, Philip J. Ebert, Peng Fang, Jennifer Biroschak, Cindy Spittle, Chad Galderisi, Jin Li. Liquid biopsy using the ion AmpliSeq v2 cancer panel. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4925. doi:10.1158/1538-7445.AM2015-4925

Introduction: Somatic mutations are routinely identified using NGS cancer panels but these panels lack genome-wide coverage for copy number (CN) and LOH analysis. To investigate mutation, CN, and LOH in late-stage breast cancer we tested >50 samples using the Oncoscan molecular inversion probe (MIP) array and evaluated its reproducibility and performance compared to NGS platforms. Methods: 52 breast cancer samples (stage IIIA - IV) were analyzed using MIP array (Oncoscan, Affymetrix). Four samples were tested in technical triplicates to determine assay reproducibility. In addition, 28 samples were sequenced by amplicon-based NGS and five of these samples were also tested using a capture-based NGS platform for mutation, CN, and LOH comparison. Results: MIP array provided highly reproducible results for CN and LOH, with >98% of calls showing CN range in the technical triplicates of < 0.5 copy for 891 cancer genes analyzed. Variability in CN seems to be proportional to absolute copy number at the tested locus, with CN range in technical triplicates of >2 copies seen in only two cases, once for ERBB2 (CN range 32 - 35 copies) and once for FLOT2 (CN range 22 - 25 copies). Gene level results were then categorized in five groups: homozygous deletion, single copy loss, diploid, low grade amplification (≤6 copies), or high grade amplification (>6 copies). Using these predetermined cut points, we saw >99% concordance rate among the technical replicates in the MIP array. We found a 93% concordance rate between MIP array and CN/LOH calls by capture-based NGS. Discordant calls between NGS and MIP array were either LOH calls or single copy number change (diploid vs. single copy loss or gain). MIP array mutation analysis of 28 samples showed good sensitivity, correctly detecting the 17 PIK3CA mutations and one TP53 mutation identified by NGS in this cohort. There were seven false positive calls by MIP array, five of them occurring in two genotypes (2x NRAS G12S/C, and 3x EGFR L858R). The other two false positives occurred in PIK3CA, with one false positive (H1047L) occurring in association with a high-grade PIK3CA amplification (7 copies). Increasing CN at the mutation locus was associated with a higher mutation score provided by MIP array (p Conclusions: MIP array platform provides a great alternative for assessing CN and LOH in FFPE samples at lower cost and using less input DNA than NGS (80ng vs. 250ng). There was good correlation between CN and LOH results from MIP array and capture-based NGS, with discordant results limited to small CN differences or LOH calls. Mutation analysis by MIP array showed no false negatives when compared to NGS, while false positives seem to occur either due to probe-specific issues or in association with amplifications at the genotyping locus. Citation Format: Candice L. Horn, Fabio Nunes, John Calley, Steven Bray, Isabella Wulur, Mark Farmen, Robert Gallavan, Iris Halfpenny, Paul Medlow, Keith McGreeghan-Crosby, Gera Jellema. Copy number and loss of heterozygosity (LOH) analysis in 52 breast cancer FFPE samples using molecular Inversion probe array: detailed analysis of reproducibility and performance compared to NGS platforms. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-048. doi:10.1158/1538-7445.AM2015-LB-048