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Introduction Tumor heterogeneity and its impact on personalized medicine in the future While ongoing efforts in cancer research are beginning to show a pathway to personalized medicine in the future, they are also uncovering the astonishing levels of genomic heterogeneity of cancer cells that make up a tumor [1]. A given tumor sample can have remarkably high levels of genetic complexity, and the identification of more rare mutations or subpopulations may, in the future, be key to guiding successful therapy [2]. However, traditional sequencing techniques present difficulties in detecting these rare variants. In addition, translational laboratories usually store tissue in formalin-fixed, paraffin-embedded (FFPE) material, which degrades DNA and provides it in only very small amounts, thus making genomic analysis of tumor DNA even more cumbersome. Customer profile Biomarker discovery at Heidelberg Medical Hospital Dr. Volker Endris is a research associate in the Department of Pathology at Heidelberg Medical Hospital, heading the next-generation sequencing (NGS) facility. Dr. Endris and his colleagues work on translational molecular biology of different disease types, which includes research on known tumor markers resistant to radiation and chemotherapy, searching for predictive biomarkers in malignant solid tumor samples, and applying NGS technology to biomarker discovery. His current work focuses on the implementation of amplicon-based NGS for the molecular analysis of FFPE tumor material. The challenge Accelerating cancer marker discovery from FFPE samples As cancer therapeutics rapidly shift toward genetics-driven stratification, there is an increasing demand for rapid, detailed molecular analysis of samples. Dr. Endris’s lab currently uses Sanger sequencing for each assay, due to the well-established reliability and accuracy of this approach. However, with the rise Accelerating cancer marker discovery from FFPE samples: making the switch from Sanger to NGS “We only have small amounts of tissue from archived samples, with very limited amount of DNA available.” Dr. Volker Endris CASE STUDY: DR. VOLKER ENDRIS Ion PGM System Fast facts: Fields of research: Cancer, translational research Applications/techniques: Next-generation sequencing, Sanger sequencing Featured platform: Ion PGM System

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Page 1: CASE STUDY: DR. VOLKER ENDRIS Accelerating cancer …tools.thermofisher.com/content/sfs/brochures/...The solution Evaluating the Ion PGM ™ System with FFPE samples Dr. Endris and

Introduction Tumor heterogeneity and its impact on personalized medicine in the futureWhile ongoing efforts in cancer research are beginning to show a pathway to personalized medicine in the future, they are also uncovering the astonishing levels of genomic heterogeneity of cancer cells that make up a tumor [1]. A given tumor sample can have remarkably high levels of genetic complexity, and the identifi cation of more rare mutations or subpopulations may, in the future, be key to guiding successful therapy [2]. However, traditional sequencing techniques present diffi culties in detecting these rare variants. In addition, translational laboratories usually store tissue in formalin-fi xed, paraffi n-embedded (FFPE) material, which degrades DNA and provides it in only very small amounts, thus making genomic analysis of tumor DNA even more cumbersome.

Customer profi leBiomarker discovery atHeidelberg Medical Hospital Dr. Volker Endris is a research associate in the Department of Pathology at Heidelberg Medical Hospital, heading the next-generation sequencing (NGS) facility. Dr. Endris and his colleagues work on translational molecular biology of different disease types, which includes research on known tumor markers resistant to radiation and chemotherapy, searching for predictive biomarkers in malignant solid tumor samples, and applying NGS technology to biomarker discovery. His current work focuses on the implementation of amplicon-based NGS for the molecular analysis of FFPE tumor material.

The challengeAccelerating cancer marker discovery from FFPE samples As cancer therapeutics rapidly shift toward genetics-driven stratifi cation, there is an increasing demand for rapid, detailed molecular analysis of samples. Dr. Endris’s lab currently uses Sanger sequencing for each assay, due to the well-established reliability and accuracy of this approach. However, with the rise

Accelerating cancer marker discovery from FFPE samples: making the switch from Sanger to NGS

“We only havesmall amountsof tissue from archived samples, with very limited amount of DNA available.”Dr. Volker Endris

CASE STUDY: DR. VOLKER ENDRIS Ion PGM™ System

Fast facts:Fields of research:Cancer, translational research

Applications/techniques:Next-generation sequencing, Sanger sequencing

Featured platform:Ion PGM™ System

Page 2: CASE STUDY: DR. VOLKER ENDRIS Accelerating cancer …tools.thermofisher.com/content/sfs/brochures/...The solution Evaluating the Ion PGM ™ System with FFPE samples Dr. Endris and

“We found very high concordance between the Sanger and NGS data.”Dr. Volker Endris

Figure 1. Tumor/normal titration showing lower detection limit of NGS. Sample VLR010 was mixed with matching normal tissue DNA, yielding total tumor DNA contents of 80% (with no admixed normal DNA), 60%, 40%, 20%, and 10%. Independent libraries for all tumor DNA titration samples were sequenced using the Ion AmpliSeq™ Cancer Hotspot Panel. Three SNPs were detected in the tumor, in EGFR (p.L858R), TP53 (p.R273L), and PDGFRA (p.Y671*). Although all SNPs were detectable in titrations with ≥40% tumor-cell content, the SNPs in TP53 and PDGFRA fell below the detection limit of the variant caller in the two lowest titrations (2).

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in demand for his translational studies, Dr. Endris felt the need to switch to multiplexed assays in his research to get a more comprehensive view of important variants while providing results in a timely, cost-effective fashion. However, in clinical research settings, tumor samples are often of low quality, with either low tumor-cell content or degraded DNA. This could pose a challenge for mutation discovery by next-generation sequencing.

The solutionEvaluating the Ion PGM™ System with FFPE samples Dr. Endris and his colleagues tested the capacity of the Ion PGM™ System and the commercially available Ion AmpliSeq™ Cancer Hotspot Panel v2 to accurately sequence FFPE samples, and compared the results from Ion Torrent™ technology and traditional Sanger sequencing [3]. The team also evaluated the performance of custom panels developed with Ion AmpliSeq™ Designer. Dr. Endris found that Sanger sequencing could be conducted faster and was less costly for single-gene analysis, but Ion Torrent™ sequencing became more cost-effective and faster when analyzing a large number of exons/genes. NGS can thus enable more laboratories to perform research on the heterogeneity found in tumor samples.

ResultsDetecting rare variants with the Ion PGM™ SystemDr. Endris found that the Ion PGM™ System showed very high concordance, even with FFPE tissue samples, with traditional Sanger sequencing. PCR-generated artifacts appeared to be low, indicating that technical challenges with FFPE material can be easily overcome with the Ion AmpliSeq™ technology and the Ion PGM™ System. The sensitivity analysis showed that with 2,000x coverage for the cancer research panels, NGS can detect mutations down to a 5% allele frequency. Evaluating mutations with low allele frequencies (below 5%) was technically difficult because of fixation artifacts in the source material, indicating the need to control the quality of sample material even when conducting NGS (Figure 1). Dr. Endris and his team may, in the future, use digital PCR to verify the low-frequency mutations detected by Sanger sequencing or NGS.

Cost-effective, rapid sequencing of more samples and ampliconsMethodologies for Sanger sequencing and NGS can be challenging to compare, especially when taking extra steps to work with difficult material like FFPE, Dr. Endris reported [3]. Costs of NGS depend on the total size of the library, chip capacity, and overall coverage, while Sanger sequencing

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the Ion PGM™ system. Dr. Endris hopes that the results of the study will further elucidate the pathobiology of BPDCN and enable development of more effective therapeutic options in the future [4].

ConclusionThe Ion Torrent™ NGS workflow: an ideal tool for more comprehensive cancer marker discoveryWorking with degraded and difficult archived samples such as FFPE DNA can be a big challenge; however, the Ion AmpliSeq™ research panels require only 10 ng of input DNA, making them ideal for FFPE samples. While the per-sample sequencing costs and turnaround time per sample using Sanger sequencing are still superior to next-generation techniques, the higher number of samples and data produced by sequencing on the Ion PGM™ System point to the promise of NGS to analyze more samples at a much lower cost. This feasibility, while still for research use only, is valuable for applications such as cancer research, in which sequencing must capture a wide heterogeneity of markers and mutations in tumor cell samples. In addition, NGS has the capacity to enable biomarker discovery and mutation identification from low-volume and low copy number DNA, which has proved difficult with traditional Sanger sequencing. Studies using next-generation sequencing techniques are enabling a more comprehensive view of cancer gene mutations in a more timely fashion, thus bringing us to closer to making personalized cancer therapy a reality in the future.

costs are calculated on a per-sample basis. Three different chip sizes can be run on the Ion PGM™ System (Ion 314™, Ion 316™, and Ion 318™), enabling different multiplexing strategies to reduce per-sample costs. For example, following an 8-plex approach on a larger-capacity Ion 318™ chip vs. a singleplex approach on an Ion 314™ chip can reduce the per-sample cost by almost 40%. Because sequence output for NGS was 190 times greater than for Sanger sequencing, cost per amplicon was significantly lower using the Ion PGM™ System. Turnaround time per sample favored Sanger sequencing for a small number of amplicons, but as the number of amplicons analyzed increased the advantage quickly shifted to the Ion PGM™ System.

Evaluating platform specificityDr. Endris and his colleagues also tested the Ion PGM™ System against other NGS platforms, namely the Illumina MiSeq® system and Roche GS Junior™ system for research, using EGFR-and KRAS-positive samples, and compared results with other research centers. They found a very high concordance in calls between the three platforms and high reproducibility between the research centers, suggesting that panel sequencing on the Ion PGM™ System holds a lot of promise for reliable cancer marker discovery from FFPE samples.

Opening the door to more connectionsNGS’s high output allows for a rapid comparison of many more alleles, making it possible to more accurately characterize disease states that were not possible using traditional methods. Dr. Endris and his colleagues recently published a paper on the genetic characterization of blastic plasmacytoid cell neoplasm (BPDCN), an orphan disease with a very aggressive clinical course that lacks standardized therapeutic options. The group studied about 50 common cancer genes in 33 BPDCN-positive FFPE samples using the Ion AmpliSeq™ Cancer Hostpot Panel v2 and

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For Research Use Only. Not for use in diagnostic procedures. © 2014 Thermo Fisher Scientific Inc. All rights reserved. GS Junior is a trademark of Roche Diagnostics GmbH. MiSeq is a trademark of Illumina, Inc. All trademarks are the property of Thermo Fisher Scientific and its subsidiaries unless otherwise specified. CO28912 0814

Get more details about the Ion PGM™ System atlifetechnologies.com/pgm

Design your own panels at ampliseq.com

References

1. Meyerson M, Gabriel S, Getz G (2010) Advances in understanding cancer genomes through second-generation sequencing. Nat Rev Genet 11: 685–696.

2. Fisher R, Pusztai L, Swanton C (2013) Cancer heterogeneity: implications for targeted therapeutics. Br J Cancer 108: 279–285.

3. Endris V, Penzel R, Warth A et al. (2013) Molecular diagnostic profiling of lung cancer specimens with a semiconductor-based massive parallel sequencing approach: feasibility, costs, and performance compared with conventional sequencing. J Mol Diagn 15: 765–775.

4. Stenzinger A, Endris V et al. (2014) Targeted ultra-deep sequencing reveals recurrent and mutually exclusive mutations of cancer genes in blastic plasmacytoid dendritic cell neoplasm. Oncotarget 5: 6404–6413.