George Karlin-Neumann

High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number

Digital PCR enables the absolute quantitation of nucleic acids in a sample. The lack of scalable and practical technologies for digital PCR implementation has hampered the widespread adoption of this inherently powerful technique. Here we describe a high-throughput droplet digital PCR (ddPCR) system that enables processing of ∼2 million PCR reactions using conventional TaqMan assays with a 96-well plate workflow. Three applications demonstrate that the massive partitioning afforded by our ddPCR system provides orders of magnitude more precision and sensitivity than real-time PCR. First, we show the accurate measurement of germline copy number variation. Second, for rare alleles, we show sensitive detection of mutant DNA in a 100 000-fold excess of wildtype background. Third, we demonstrate absolute quantitation of circulating fetal and maternal DNA from cell-free plasma. We anticipate this ddPCR system will allow researchers to explore complex genetic landscapes, discover and validate new disease associations, and define a new era of molecular diagnostics.

Sensitivity of plasma BRAFmutant and NRASmutant cell-free DNA assays to detect metastatic melanoma in patients with low RECIST scores and non-RECIST disease progression

Melanoma lacks a clinically useful blood‐based biomarker of disease activity to help guide patient management. To determine whether measurements of circulating, cell‐free, tumor‐associated BRAFmutant and NRASmutant DNA (ctDNA) have a higher sensitivity than LDH to detect metastatic disease prior to treatment initiation and upon disease progression we studied patients with unresectable stage IIIC/IV metastatic melanoma receiving treatment with BRAF inhibitor therapy or immune checkpoint blockade and at least 3 plasma samples obtained during their treatment course. Levels of BRAFmutant and NRASmutant ctDNA were determined using droplet digital PCR (ddPCR) assays. Among patients with samples available prior to treatment initiation ctDNA and LDH levels were elevated in 12/15 (80%) and 6/20 (30%) (p = 0.006) patients respectively. In patients with RECIST scores <5 cm prior to treatment initiation, ctDNA levels were elevated in 5/7 (71%) patients compared to LDH which was elevated in 1/13 (8%) patients (p = 0.007). Among all disease progression events the modified bootstrapped sensitivities for ctDNA and LDH were 82% and 40% respectively, with a median difference in sensitivity of 42% (95% confidence interval, 27%–58%; P < 0.001). In addition, ctDNA levels were elevated in 13/16 (81%) instances of non‐RECIST disease progression, including 10/12 (83%) instances of new brain metastases. In comparison LDH was elevated 8/16 (50%) instances of non‐RECIST disease progression, including 6/12 (50%) instances of new brain metastases. Overall, ctDNA had a higher sensitivity than LDH to detect disease progression, including non‐RECIST progression events. ctDNA has the potential to be a useful biomarker for monitoring melanoma disease activity.

A Rapid Molecular Approach for Chromosomal Phasing

Determining the chromosomal phase of pairs of sequence variants – the arrangement of specific alleles as haplotypes – is a routine challenge in molecular genetics. Here we describe Drop-Phase, a molecular method for quickly ascertaining the phase of pairs of DNA sequence variants (separated by 1-200 kb) without cloning or manual single-molecule dilution. In each Drop-Phase reaction, genomic DNA segments are isolated in tens of thousands of nanoliter-sized droplets together with allele-specific fluorescence probes, in a single reaction well. Physically linked alleles partition into the same droplets, revealing their chromosomal phase in the co-distribution of fluorophores across droplets. We demonstrated the accuracy of this method by phasing members of trios (revealing 100% concordance with inheritance information), and demonstrate a common clinical application by phasing CFTR alleles at genomic distances of 11–116 kb in the genomes of cystic fibrosis patients. Drop-Phase is rapid (requiring less than 4 hours), scalable (to hundreds of samples), and effective at long genomic distances (200 kb).

International Interlaboratory Digital PCR Study Demonstrating High Reproducibility for the Measurement of a Rare Sequence Variant

This study tested the claim that digital PCR (dPCR) can offer highly reproducible quantitative measurements in disparate laboratories. Twenty-one laboratories measured four blinded samples containing different quantities of a KRAS fragment encoding G12D, an important genetic marker for guiding therapy of certain cancers. This marker is challenging to quantify reproducibly using quantitative PCR (qPCR) or next generation sequencing (NGS) due to the presence of competing wild type sequences and the need for calibration. Using dPCR, 18 laboratories were able to quantify the G12D marker within 12% of each other in all samples. Three laboratories appeared to measure consistently outlying results; however, proper application of a follow-up analysis recommendation rectified their data. Our findings show that dPCR has demonstrable reproducibility across a large number of laboratories without calibration. This could enable the reproducible application of molecular stratification to guide therapy and, potentially, for molecular diagnostics.

Multiplex KRASG12/G13 mutation testing of unamplified cell-free DNA from the plasma of patients with advanced cancers using droplet digital polymerase chain reaction

Background Cell-free DNA (cfDNA) from plasma offers easily obtainable material for KRAS mutation analysis. Novel, multiplex, and accurate diagnostic systems using small amounts of DNA are needed to further the use of plasma cfDNA testing in personalized therapy. Patients and methods Samples of 16 ng of unamplified plasma cfDNA from 121 patients with diverse progressing advanced cancers were tested with a KRASG12/G13 multiplex assay to detect the seven most common mutations in the hotspot of exon 2 using droplet digital polymerase chain reaction (ddPCR). The results were retrospectively compared to mutation analysis of archival primary or metastatic tumor tissue obtained at different points of clinical care. Results Eighty-eight patients (73%) had KRASG12/G13 mutations in archival tumor specimens collected on average 18.5 months before plasma analysis, and 78 patients (64%) had KRASG12/G13 mutations in plasma cfDNA samples. The two methods had initial overall agreement in 103 (85%) patients (kappa, 0.66; ddPCR sensitivity, 84%; ddPCR specificity, 88%). Of the 18 discordant cases, 12 (67%) were resolved by increasing the amount of cfDNA, using mutation-specific probes, or re-testing the tumor tissue, yielding overall agreement in 115 patients (95%; kappa 0.87; ddPCR sensitivity, 96%; ddPCR specificity, 94%). The presence of ≥ 6.2% of KRASG12/G13 cfDNA in the wild-type background was associated with shorter survival (P = 0.001). Conclusion(s) Multiplex detection of KRASG12/G13 mutations in a small amount of unamplified plasma cfDNA using ddPCR has good sensitivity and specificity and good concordance with conventional clinical mutation testing of archival specimens. A higher percentage of mutant KRASG12/G13 in cfDNA corresponded with shorter survival.

Entering the Pantheon of 21 st Century Molecular Biology Tools: A Perspective on Digital PCR

After several decades of relatively modest use, in the last several years digital PCR (dPCR) has grown to become the new gold standard for nucleic acid quantification. This coincides with the commercial availability of scalable, affordable, and reproducible droplet-based dPCR platforms in the past five years and has led to its rapid dissemination into diverse research fields and testing applications. Among these, it has been adopted most vigorously into clinical oncology where it is beginning to be used for plasma genotyping in cancer patients undergoing treatment. Additionally, innovation across the scientific community has extended the benefits of reaction partitioning beyond DNA and RNA quantification alone, and demonstrated its usefulness in evaluating DNA size and integrity, the physical linkage of colocalized markers, levels of enzyme activity and specific cation concentrations in a sample, and more. As dPCR technology gains in popularity and breadth, its power and simplicity can often be taken for granted; thus, the reader is reminded that due diligence must be exercised in order to make claims not only of precision but also of accuracy in their measurements.

Development of novel mutation-specific droplet digital PCR assays detecting TERT promoter mutations in tumor and plasma samples

Detecting mutations in the plasma of patients with solid tumors is becoming a valuable method of diagnosing and monitoring cancer. The TERT promoter is mutated at high frequencies in multiple cancer types, most commonly at positions -124 and -146 (designated C228T and C250T, respectively). Detection of these mutations has been challenging because of the high GC content of this region (approximately 80%). We describe development of novel probe-based droplet digital PCR assays that specifically detect and quantify these two mutations, along with the less common 242-243 CC>TT mutation, and demonstrate their application using human tumor and plasma samples from melanoma patients. Assay designs and running conditions were optimized using cancer cell line genomic DNAs with the C228T or C250T mutations. The limits of detection were 0.062% and 0.051% mutant allele fraction for the C228T and C250T assays, respectively. Concordance of 100% was observed between droplet digital PCR and sequencing-based orthogonal methods in the detection of TERT mutant DNA in 32 formalin-fixed, paraffin-embedded melanoma tumors. TERTmutant DNA was also identified in 21 of 27 plasma samples (78%) from patients with TERTmutant tumors, with plasma mutant allele fractions ranging from 0.06% to 15.3%. There were no false positives in plasma. These data demonstrate the potential of these assays to specifically detect and quantify TERTmutant DNA in tumors and plasma of cancer patients.

Very Low Abundance Single-Cell Transcript Quantification with 5-Plex ddPCR TM Assays

Gene expression studies have provided one of the most accessible windows for understanding the molecular basis of cell and tissue phenotypes and how these change in response to stimuli. Current PCR-based and next generation sequencing methods offer great versatility in allowing the focused study of the roles of small numbers of genes or comprehensive profiling of the entire transcriptome of a sample at one time. Marrying of these approaches to various cell sorting technologies has recently enabled the profiling of expression in single cells, thereby increasing the resolution and sensitivity and strengthening the inferences from observed expression levels and changes. This chapter presents a quick and efficient 1-day workflow for sorting single cells with a small laboratory cell-sorter followed by an ultrahigh sensitivity, multiplexed digital PCR method for quantitative tracking of changes in 5-10 genes per single cell.

Abstract 743: Detection of TERT C228T and C250T promoter mutations in melanoma tumor and plasma samples using novel mutation-specific droplet digital PCR assays

Purpose: Detecting mutations in the plasma of patients with solid tumors is becoming a valuable method of diagnosing and monitoring cancer. Mutations in 1 of 2 hot spots in the TERT promoter sequence are found in several cancers, including up to 85% of melanomas and the majority of cases that lack BRAF or NRAS mutations (about one-third of melanomas). Due to the high G-C content of the TERT promoter sequence these mutations can be difficult to detect using NGS approaches. We developed novel droplet digital PCR (ddPCR) assays to detect these 2 mutations with high sensitivity and specificity, and demonstrate the application of these assays in melanoma clinical samples. Methods: Assays were optimized using cell lines with Sanger sequencing-confirmed mutations: glioblastoma A172 (C228T), and melanoma NYU12-126 (C250T). We varied assay designs and amplification conditions to optimize probe-based detection using the Bio-Rad QX-200 ddPCR system. Assay sensitivities and specificities at various DNA input levels were determined using serial dilutions with 3 replicate wells for each condition. Sensitivity is defined as the lowest mutant allele dilution for which the confidence interval did not overlap with that of the 0% mutant wells. We used normal and cancer-derived DNA sources of different quality (e.g. normal human DNA (Promega), cancer cell lines, plasma and FFPE-derived DNAs) with and without the mutations, and compared the efficiency of detection of amplicons of 88, 113 and 163 base-pairs. We compared efficiencies to assays of similar size for RPP30, a housekeeping gene. Patient-matched metastatic melanoma tumors and plasma samples were analyzed to explore the clinical utility of these assays. Results: The assays showed greater sensitivity when higher amounts of DNA were analyzed. For C228T the limit of detection (LOD) of the mutant allele was 1%, 0.25% and 0.1% for 6.6ng/well, 33ng/well and 66ng/well respectively; for C250T the LODs were 0.25%, 0.05% and 0.05% respectively. Using normal human DNA, the efficiency of the TERT assays averaged approximately 90% of that for RPP30 across assays of similar size, and no decrease in assay efficiency was observed as amplicon length increased. In contrast, whereas amplicon size had only a modest effect on assay efficiency in plasma cfDNA, it gave a more pronounced effect on FFPE DNA’s, decreasing to 38% for the 163bp amplicon. We observed 100% concordance between TERT mutation detection by SNaPshot and ddPCR in 10 FFPE tumor samples, and in plasma samples from 4 metastatic melanoma patients with matching tumor samples. Conclusion: We developed robust ddPCR assays to detect TERT promoter mutations with high sensitivity and specificity. Mutated TERT DNA can be detected and quantitated in the plasma of patients with metastatic melanoma, and is likely to be present in the plasma of other cancer patients in whom TERT mutations occur. Citation Format: Broderick Corless, Gregory Chang, Samantha Cooper, Mahrukh Syeda, Iman Osman, George Karlin-Neumann, David Polsky. Detection of TERT C228T and C250T promoter mutations in melanoma tumor and plasma samples using novel mutation-specific droplet digital PCR assays [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 743. doi:10.1158/1538-7445.AM2017-743

Abstract 493: Quantity of KRAS mutations in cell-free DNA is associated with survival of patients with advanced cancers

Background: Cell-free (cf) DNA from plasma offers an easily obtainable material for KRAS mutation analysis for diagnostics and monitoring. There is emerging evidence that the percentage of mutant cfDNA in the wild-type background (mutant allele fraction, MAF) and/or absolute quantity of mutant cfDNA can be associated with survival of patients with advanced cancers. Methods: Plasma-derived cfDNA from patients with progressing advanced cancers was purified and 16 ng of DNA was tested with a KRAS multiplex assay to distinguish the wild-type allele from 7 of the most common mutations in the G12 and G13 hotspot of exon 2 using the QX200 Droplet Digital PCR™ platform (Bio-Rad). Results were compared to mutation analysis of archival primary or metastatic tumor tissue obtained at different points of clinical care from a CLIA-certified laboratory and clinical outcomes including survival. Results: Of the 117 patients (colorectal cancer, 71; non-small cell lung cancer, 12; melanoma, 10; pancreatic cancer, 5; ovarian cancer, 5; appendiceal cancer, 5; other cancers, 9), KRAS mutations were detected in 85 (73%) archival FFPE tumor samples and 85 (73%) plasma cfDNA samples. The two methods had overall agreement in 109 patients (93%; kappa, 0.83, standard error, 0.06; 95% confidence interval [CI], 0.71-0.94), sensitivity of 95% (95% CI, 0.88-0.99), specificity of 88% (95% CI, 0.71-0.96), even though median time from tissue to blood sampling was 18.5 months (1.1-134.4 months). A higher MAF (>7%) of KRAS in cfDNA as determined by 5% trimmed mean value was associated with shorter survival compared to lower ( Conclusions: A higher percentage of KRAS mutation in plasma cfDNA is an independent predictive factor for shorter survival in patients with advanced cancers. Citation Format: Kiran Madwani, Helen J. Huang, Dawne N. Shelton, Siqing Fu, Apostolia M. Tsimberidou, Sarina A. Piha-Paul, Aung Naing, David S. Hong, Daniel D. Karp, Debra L. Andrews, Goran Cabrilo, E. Scott Kopetz, Rajyalakshmi Luthra, Bryan K. Kee, Cathy Eng, Van K. Morris, George A. Karlin-Neumann, Funda Meric-Bernstam, Filip Janku. Quantity of KRAS mutations in cell-free DNA is associated with survival of patients with advanced cancers. [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 493.