Catherine E. Cottrell, Hussam Al-Kateb, Andrew J. Bredemeyer, Eric J

Slides:



Advertisements
Similar presentations
Detection of FLT3 Internal Tandem Duplication in Targeted, Short-Read-Length, Next- Generation Sequencing Data  David H. Spencer, Haley J. Abel, Christina.
Advertisements

Lawrence J. Jennings, Maria E
Detection of Exon 12 Mutations in the JAK2 Gene
Ane Y. Schmidt, Thomas v. O. Hansen, Lise B
Comparison of Clinical Targeted Next-Generation Sequence Data from Formalin-Fixed and Fresh-Frozen Tissue Specimens  David H. Spencer, Jennifer K. Sehn,
Molecular Diagnostic Profiling of Lung Cancer Specimens with a Semiconductor-Based Massive Parallel Sequencing Approach  Volker Endris, Roland Penzel,
Carol Beadling, Tanaya L. Neff, Michael C
A Targeted High-Throughput Next-Generation Sequencing Panel for Clinical Screening of Mutations, Gene Amplifications, and Fusions in Solid Tumors  Rajyalakshmi.
Assessing Copy Number Alterations in Targeted, Amplicon-Based Next-Generation Sequencing Data  Catherine Grasso, Timothy Butler, Katherine Rhodes, Michael.
Haley J. Abel, Hussam Al-Kateb, Catherine E. Cottrell, Andrew J
Single-Color Digital PCR Provides High-Performance Detection of Cancer Mutations from Circulating DNA  Christina Wood-Bouwens, Billy T. Lau, Christine.
In Silico Proficiency Testing for Clinical Next-Generation Sequencing
Detection of FLT3 Internal Tandem Duplication in Targeted, Short-Read-Length, Next- Generation Sequencing Data  David H. Spencer, Haley J. Abel, Christina.
A Method to Evaluate the Quality of Clinical Gene-Panel Sequencing Data for Single- Nucleotide Variant Detection  Chung Lee, Joon S. Bae, Gyu H. Ryu, Nayoung.
Validation of a Next-Generation Sequencing Pipeline for the Molecular Diagnosis of Multiple Inherited Cancer Predisposing Syndromes  Paula Paulo, Pedro.
Analytical Validation of a Next-Generation Sequencing Assay to Monitor Immune Responses in Solid Tumors  Jeffrey M. Conroy, Sarabjot Pabla, Sean T. Glenn,
Methodologic Considerations in the Application of Next-Generation Sequencing of Human TRB Repertoires for Clinical Use  Liwen Xu, Xiaoqing You, PingPing.
Mark G. Erlander, Xiao-Jun Ma, Nicole C
Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data  David H. Spencer,
Targeted, High-Depth, Next-Generation Sequencing of Cancer Genes in Formalin- Fixed, Paraffin-Embedded and Fine-Needle Aspiration Tumor Specimens  Andrew.
Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications  Vera Grossmann, Andreas Roller, Hans-Ulrich Klein, Sandra Weissmann,
Hybrid Capture and Next-Generation Sequencing Identify Viral Integration Sites from Formalin-Fixed, Paraffin-Embedded Tissue  Eric J. Duncavage, Vincent.
False Positives in Multiplex PCR-Based Next-Generation Sequencing Have Unique Signatures  Chad M. McCall, Stacy Mosier, Michele Thiess, Marija Debeljak,
Improving Mutation Screening in Patients with Colorectal Cancer Predisposition Using Next-Generation Sequencing  Jean-Marc Rey, Vincent Ducros, Pascal.
Molecular Analysis of Circulating Cell-Free DNA from Lung Cancer Patients in Routine Laboratory Practice  Stephan Bartels, Sascha Persing, Britta Hasemeier,
Application of Single-Molecule Amplification and Resequencing Technology for Broad Surveillance of Plasma Mutations in Patients with Advanced Lung Adenocarcinoma 
Angela Leo, Andrew M. Walker, Matthew S
Clinical Validation of a Next-Generation Sequencing Genomic Oncology Panel via Cross-Platform Benchmarking against Established Amplicon Sequencing Assays 
Next Generation Sequencing for Clinical Diagnostics-Principles and Application to Targeted Resequencing for Hypertrophic Cardiomyopathy  Karl V. Voelkerding,
Application of Single-Molecule Amplification and Resequencing Technology for Broad Surveillance of Plasma Mutations in Patients with Advanced Lung Adenocarcinoma 
A Method for Next-Generation Sequencing of Paired Diagnostic and Remission Samples to Detect Mitochondrial DNA Mutations Associated with Leukemia  Ilaria.
Molecular Diagnosis of Autosomal Dominant Polycystic Kidney Disease Using Next- Generation Sequencing  Adrian Y. Tan, Alber Michaeel, Genyan Liu, Olivier.
Christopher R. Cabanski, Vincent Magrini, Malachi Griffith, Obi L
Christopher M. Watson, Nick Camm, Laura A
A Pyrosequencing-Based Assay for the Rapid Detection of IDH1 Mutations in Clinical Samples  Prashanth Setty, Jennifer Hammes, Thomas Rothämel, Valentina.
CRISPR/Cas9 Technology–Based Xenograft Tumors as Candidate Reference Materials for Multiple EML4-ALK Rearrangements Testing  Rongxue Peng, Rui Zhang,
A Comprehensive Strategy for Accurate Mutation Detection of the Highly Homologous PMS2  Jianli Li, Hongzheng Dai, Yanming Feng, Jia Tang, Stella Chen,
Development and Verification of an RNA Sequencing (RNA-Seq) Assay for the Detection of Gene Fusions in Tumors  Jennifer L. Winters, Jaime I. Davila, Amber.
A Rapid and Sensitive Next-Generation Sequencing Method to Detect RB1 Mutations Improves Care for Retinoblastoma Patients and Their Families  Wenhui L.
Eric Samorodnitsky, Jharna Datta, Benjamin M
High-Throughput and Sensitive Quantification of Circulating Tumor DNA by Microfluidic- Based Multiplex PCR and Next-Generation Sequencing  Yinghui Guan,
Analytical Validation of Androgen Receptor Splice Variant 7 Detection in a Clinical Laboratory Improvement Amendments (CLIA) Laboratory Setting  Parvez.
Detection of Exon 12 Mutations in the JAK2 Gene
ColoSeq Provides Comprehensive Lynch and Polyposis Syndrome Mutational Analysis Using Massively Parallel Sequencing  Colin C. Pritchard, Christina Smith,
Validation and Implementation of a Custom Next-Generation Sequencing Clinical Assay for Hematologic Malignancies  Michael J. Kluk, R. Coleman Lindsley,
Comprehensive Diagnostic Testing for Stereocilin
Hilmi Ozcelik, Xuejiang Shi, Martin C
Jamal H. Carter, Samantha N. McNulty, Patrick J. Cimino, Catherine E
Cyclin E1 Is Amplified and Overexpressed in Osteosarcoma
Analytical Validation of Clinical Whole-Genome and Transcriptome Sequencing of Patient-Derived Tumors for Reporting Targetable Variants in Cancer  Kazimierz.
Utility of NIST Whole-Genome Reference Materials for the Technical Validation of a Multigene Next-Generation Sequencing Test  Bennett O.V. Shum, Ilya.
Technical Validation of a Next-Generation Sequencing Assay for Detecting Clinically Relevant Levels of Breast Cancer–Related Single-Nucleotide Variants.
A Multi-Exonic BRCA1 Deletion Identified in Multiple Families through Single Nucleotide Polymorphism Haplotype Pair Analysis and Gene Amplification with.
Detection of Genomic Variations in BRCA1 and BRCA2 Genes by Long-Range PCR and Next-Generation Sequencing  Imma Hernan, Emma Borràs, Miguel de Sousa Dias,
Larissa V. Furtado, Helmut C. Weigelin, Kojo S. J
Analytical Validation and Application of a Targeted Next-Generation Sequencing Mutation-Detection Assay for Use in Treatment Assignment in the NCI-MPACT.
External Quality Assessment for Detection of Fetal Trisomy 21, 18, and 13 by Massively Parallel Sequencing in Clinical Laboratories  Rui Zhang, Hongyun.
A Variant Detection Pipeline for Inherited Cardiomyopathy–Associated Genes Using Next-Generation Sequencing  Théo G.M. Oliveira, Miguel Mitne-Neto, Louise.
A Novel Long-Range PCR Sequencing Method for Genetic Analysis of the Entire PKD1 Gene  Ying-Cai Tan, Alber Michaeel, Jon Blumenfeld, Stephanie Donahue,
Validation and Implementation of Targeted Capture and Sequencing for the Detection of Actionable Mutation, Copy Number Variation, and Gene Rearrangement.
A Clinically Validated Diagnostic Second-Generation Sequencing Assay for Detection of Hereditary BRCA1 and BRCA2 Mutations  Ian E. Bosdet, T. Roderick.
Lawrence J. Jennings, Maria E
Dale Muzzey, Shera Kash, Jillian I. Johnson, Laura M
Evaluation of Second-Generation Sequencing of 19 Dilated Cardiomyopathy Genes for Clinical Applications  Sivakumar Gowrisankar, Jordan P. Lerner-Ellis,
A Platform for Rapid Detection of Multiple Oncogenic Mutations With Relevance to Targeted Therapy in Non–Small-Cell Lung Cancer  Zengliu Su, Dora Dias-Santagata,
Custom Design of a GeXP Multiplexed Assay Used to Assess Expression Profiles of Inflammatory Gene Targets in Normal Colon, Polyp, and Tumor Tissue  Janice.
Nathan D. Montgomery, Sara R. Selitsky, Nirali M. Patel, D
Analytical Validation of a Highly Sensitive, Multiplexed Chronic Myeloid Leukemia Monitoring System Targeting BCR-ABL1 RNA  Justin T. Brown, Ion J. Beldorth,
Development of a Novel Next-Generation Sequencing Assay for Carrier Screening in Old Order Amish and Mennonite Populations of Pennsylvania  Erin L. Crowgey,
Lawrence J. Jennings, Maria E
Presentation transcript:

Validation of a Next-Generation Sequencing Assay for Clinical Molecular Oncology  Catherine E. Cottrell, Hussam Al-Kateb, Andrew J. Bredemeyer, Eric J. Duncavage, David H. Spencer, Haley J. Abel, Christina M. Lockwood, Ian S. Hagemann, Stephanie M. O’Guin, Lauren C. Burcea, Christopher S. Sawyer, Dayna M. Oschwald, Jennifer L. Stratman, Dorie A. Sher, Mark R. Johnson, Justin T. Brown, Paul F. Cliften, Bijoy George, Leslie D. McIntosh, Savita Shrivastava, TuDung T. Nguyen, Jacqueline E. Payton, Mark A. Watson, Seth D. Crosby, Richard D. Head, Robi D. Mitra, Rakesh Nagarajan, Shashikant Kulkarni, Karen Seibert, Herbert W. Virgin, Jeffrey Milbrandt, John D. Pfeifer  The Journal of Molecular Diagnostics  Volume 16, Issue 1, Pages 89-105 (January 2014) DOI: 10.1016/j.jmoldx.2013.10.002 Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 1 The Washington University Cancer Mutation Profiling (WUCaMP) gene set includes NGS analysis of 25 genes with relevance across multiple tumor types. As supplements to the set, ALK and MLL are assessed by FISH for rearrangements. The choice of genes for the set was based on direct clinical actionability of the target mutations, as determined by consensus between pathologists and oncologists at our institution. The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 2 Schematic view of the WUCaMP assay workflow. DNA is extracted from tumor tissue (1) derived from fresh or FFPE specimens and fragmented by sonication (2). Libraries are prepared and amplified via limited-cycle PCR (3) and enriched for WUCaMP genes by fluid phase hybridization to custom cRNA capture reagents (4). The hybridized product is amplified (5) and sequenced on an Illumina HiSeq 2000 or Illumina MiSeq instrument (6). Paired-end reads are aligned to the genome (7), PCR duplicates are removed (8), and variant calls are made (9). Variants are annotated and classified by our internally developed CGW application, using publicly available and proprietary databases, and the case is reviewed and interpreted by a clinical genomicist for sign-out in CGW (10). A report is then issued to the medical record (11). The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 3 Distribution of unique coverage depth across the full WUCaMP capture region. The percentage of targeted WUCaMP positions (including both coding and flanking intronic sequence) that achieve unique coverage depth on the HiSeq instrument greater than or equal to that shown on the x axis is plotted. Rectangles (dashed lines) indicate the unique coverage depth achieved at 95% of positions and at 50% of positions (median unique coverage). On the y-axis scale, 1.0 indicates 100%. The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 4 Distribution of unique coverage depth across the 25 genes in the WUCaMP panel. Unique coverage data across 119 validation tumor specimen data sets from HiSeq sequencing are plotted by gene. Each box represents the interquartile range, with the midline as the median unique coverage; whiskers represent exon coverage for a given sequencing run within 2 SD of the median. Outlier exons for a sequencing run are plotted as independent dots. The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 5 Distribution of unique coverage depth across exons in JAK2, one gene of the WUCaMP panel. Unique coverage data across 119 validation tumor specimen data sets from HiSeq sequencing are plotted by exon. Box–whisker plots are defined as for Figure 4, except that unique coverage level is considered by position rather than averaged across an exon. The red horizontal line near the x axis indicates 50× unique coverage. JAK2 coverage was slightly below average, relative to other WUCaMP genes (data not shown). The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 6 Low VAF detection. For all target regions (top row) and for coding regions only (bottom row), sensitivity, false positives, and PPV are presented for one sample with a 50% mix proportion and a second sample with a 20% mix proportion. Error bars indicate the 95% binomial confidence interval for each point estimate. Top row: n = 109 variants (50% mix); n = 95 variants (20% mix). Bottom row: n = 11 variants (50% mix); n = 14 variants (20% mix). PPV = TP/(TP+FP). The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 7 Sensitivity for low VAF detection as a function of coverage depth. Synthetic mixed samples were generated from two individual HapMap samples in silico, with mix proportions of 50%, 20%, 10%, and 2% and mean coverage levels across the entire target region of 1000×, 750×, 500×, and 250×. Each mixed sample had 95 heterozygous variants unique to the minor sample present at mean observed VAFs of 23.8%, 10.6%, 5.8%, and 1.1%, respectively. Data indicate the sensitivity (percent detected) for variants with observed coverage in bins of 100. Error bars indicate the 95% binomial confidence interval for each point estimate. The Journal of Molecular Diagnostics 2014 16, 89-105DOI: (10.1016/j.jmoldx.2013.10.002) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions