Rapid Molecular Profiling of Myeloproliferative Neoplasms Using Targeted Exon Resequencing of 86 Genes Involved in JAK-STAT Signaling and Epigenetic Regulation 

Slides:



Advertisements
Similar presentations
Recurrent SETBP1 mutations in atypical chronic myeloid leukemia Nature Genetics.
Advertisements

Margaret L. Gulley, Thomas C. Shea, Yuri Fedoriw 
Clinical Laboratory Analysis of Immunoglobulin Heavy Chain Variable Region Genes for Chronic Lymphocytic Leukemia Prognosis  Philippe Szankasi, David.
Molecular Analysis of the Breast Cancer Genes BRCA1 and BRCA2 Using Amplicon- Based Massive Parallel Pyrosequencing  Geneviève Michils, Silke Hollants,
Detection of Exon 12 Mutations in the JAK2 Gene
Ane Y. Schmidt, Thomas v. O. Hansen, Lise B
Molecular Diagnostic Profiling of Lung Cancer Specimens with a Semiconductor-Based Massive Parallel Sequencing Approach  Volker Endris, Roland Penzel,
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.
Laila C. Schenkel, Charles Schwartz, Cindy Skinner, David I
Margaret L. Gulley, Thomas C. Shea, Yuri Fedoriw 
Methodologic Considerations in the Application of Next-Generation Sequencing of Human TRB Repertoires for Clinical Use  Liwen Xu, Xiaoqing You, PingPing.
Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications  Vera Grossmann, Andreas Roller, Hans-Ulrich Klein, Sandra Weissmann,
False Positives in Multiplex PCR-Based Next-Generation Sequencing Have Unique Signatures  Chad M. McCall, Stacy Mosier, Michele Thiess, Marija Debeljak,
Simple Detection of Telomere Fusions in Pancreatic Cancer, Intraductal Papillary Mucinous Neoplasm, and Pancreatic Cyst Fluid  Tatsuo Hata, Marco Dal.
Improving Mutation Screening in Patients with Colorectal Cancer Predisposition Using Next-Generation Sequencing  Jean-Marc Rey, Vincent Ducros, Pascal.
Jacek Majewski  The American Journal of Human Genetics 
Detection of CALR and MPL Mutations in Low Allelic Burden JAK2 V617F Essential Thrombocythemia  Fabrice Usseglio, Nathalie Beaufils, Anne Calleja, Sophie.
Influence of RNA Labeling on Expression Profiling of MicroRNAs
Molecular Analysis of Circulating Cell-Free DNA from Lung Cancer Patients in Routine Laboratory Practice  Stephan Bartels, Sascha Persing, Britta Hasemeier,
Jianbin Wang, H. Christina Fan, Barry Behr, Stephen R. Quake  Cell 
Annotation of Sequence Variants in Cancer Samples
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
Application of Single-Molecule Amplification and Resequencing Technology for Broad Surveillance of Plasma Mutations in Patients with Advanced Lung Adenocarcinoma 
Assessment of Capture and Amplicon-Based Approaches for the Development of a Targeted Next-Generation Sequencing Pipeline to Personalize Lymphoma Management 
Comparison of High-Resolution Melting Analysis, TaqMan Allelic Discrimination Assay, and Sanger Sequencing for Clopidogrel Efficacy Genotyping in Routine.
Annotation of Sequence Variants in Cancer Samples
Clinical Relevance of Sensitive and Quantitative STAT3 Mutation Analysis Using Next- Generation Sequencing in T-Cell Large Granular Lymphocytic Leukemia 
Molecular Diagnosis of Autosomal Dominant Polycystic Kidney Disease Using Next- Generation Sequencing  Adrian Y. Tan, Alber Michaeel, Genyan Liu, Olivier.
Design and Multiseries Validation of a Web-Based Gene Expression Assay for Predicting Breast Cancer Recurrence and Patient Survival  Ryan K. Van Laar 
Christopher R. Cabanski, Vincent Magrini, Malachi Griffith, Obi L
Donavan T. Cheng, Talia N. Mitchell, Ahmet Zehir, Ronak H
A Comprehensive Strategy for Accurate Mutation Detection of the Highly Homologous PMS2  Jianli Li, Hongzheng Dai, Yanming Feng, Jia Tang, Stella Chen,
The History and Impact of Molecular Coding Changes on Coverage and Reimbursement of Molecular Diagnostic Tests  Susan J. Hsiao, Mahesh M. Mansukhani,
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
Clinical Laboratory Analysis of Immunoglobulin Heavy Chain Variable Region Genes for Chronic Lymphocytic Leukemia Prognosis  Philippe Szankasi, David.
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,
Markus Rechsteiner, Adriana von Teichman, Jan H
Validation and Implementation of a Custom Next-Generation Sequencing Clinical Assay for Hematologic Malignancies  Michael J. Kluk, R. Coleman Lindsley,
Molecular Analysis of the Breast Cancer Genes BRCA1 and BRCA2 Using Amplicon- Based Massive Parallel Pyrosequencing  Geneviève Michils, Silke Hollants,
A Multiplex qPCR Gene Dosage Assay for Rapid Genotyping and Large-Scale Population Screening for Deletional α-Thalassemia  Wanjun Zhou, Ge Wang, Xuefeng.
Multiplex Amplification Coupled with COLD-PCR and High Resolution Melting Enables Identification of Low-Abundance Mutations in Cancer Samples with Low.
Utility of NIST Whole-Genome Reference Materials for the Technical Validation of a Multigene Next-Generation Sequencing Test  Bennett O.V. Shum, Ilya.
PIK3CA Hotspot Mutation Scanning by a Novel and Highly Sensitive High-Resolution Small Amplicon Melting Analysis Method  Panagiotis A. Vorkas, Nikoleta.
A Real-Time Polymerase Chain Reaction Assay for Rapid, Sensitive, and Specific Quantification of the JAK2V617F Mutation Using a Locked Nucleic Acid-Modified.
BCR-ABL1 RT-qPCR for Monitoring the Molecular Response to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia  Richard D. Press, Suzanne Kamel-Reid,
Pathogenesis of myeloproliferative neoplasms
Sanger Confirmation Is Required to Achieve Optimal Sensitivity and Specificity in Next- Generation Sequencing Panel Testing  Wenbo Mu, Hsiao-Mei Lu, Jefferey.
Multiplex Amplification Coupled with COLD-PCR and High Resolution Melting Enables Identification of Low-Abundance Mutations in Cancer Samples with Low.
Larissa V. Furtado, Helmut C. Weigelin, Kojo S. J
A Variant Detection Pipeline for Inherited Cardiomyopathy–Associated Genes Using Next-Generation Sequencing  Théo G.M. Oliveira, Miguel Mitne-Neto, Louise.
A Clinically Validated Diagnostic Second-Generation Sequencing Assay for Detection of Hereditary BRCA1 and BRCA2 Mutations  Ian E. Bosdet, T. Roderick.
Ayalew Tefferi, Pierre Noel, Curtis A. Hanson 
Amplification Refractory Mutation System, a Highly Sensitive and Simple Polymerase Chain Reaction Assay, for the Detection of JAK2 V617F Mutation in Chronic.
Molecular Diagnosis of Mosaic Overgrowth Syndromes Using a Custom-Designed Next- Generation Sequencing Panel  Fengqi Chang, Liu Liu, Erica Fang, Guangcheng.
Strategy for Robust Detection of Insertions, Deletions, and Point Mutations in CEBPA, a GC-Rich Content Gene, Using 454 Next-Generation Deep-Sequencing.
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,
Clinical Validation of a Next-Generation Sequencing Screen for Mutational Hotspots in 46 Cancer-Related Genes  Rajesh R. Singh, Keyur P. Patel, Mark J.
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
Improved Detection of the KIT D816V Mutation in Patients with Systemic Mastocytosis Using a Quantitative and Highly Sensitive Real-Time qPCR Assay  Thomas.
Lauren J. Massingham, Kirby L. Johnson, Diana W
Analytical Validation of a Highly Sensitive, Multiplexed Chronic Myeloid Leukemia Monitoring System Targeting BCR-ABL1 RNA  Justin T. Brown, Ion J. Beldorth,
The History and Impact of Molecular Coding Changes on Coverage and Reimbursement of Molecular Diagnostic Tests  Susan J. Hsiao, Mahesh M. Mansukhani,
Development of a Novel Next-Generation Sequencing Assay for Carrier Screening in Old Order Amish and Mennonite Populations of Pennsylvania  Erin L. Crowgey,
Presentation transcript:

Rapid Molecular Profiling of Myeloproliferative Neoplasms Using Targeted Exon Resequencing of 86 Genes Involved in JAK-STAT Signaling and Epigenetic Regulation  Graham W. Magor, Michael R. Tallack, Nathan M. Klose, Debra Taylor, Darren Korbie, Peter Mollee, Matt Trau, Andrew C. Perkins  The Journal of Molecular Diagnostics  Volume 18, Issue 5, Pages 707-718 (September 2016) DOI: 10.1016/j.jmoldx.2016.05.006 Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 1 Read coverage metrics for the custom AmpliSeq MPN Panel. A: A box and whisker plot showing the distribution of read coverage for each amplicon. Each of the 1647 individual amplicons were placed in bins according to their normalized coverage value for each of the samples analyzed, and the number of amplicons in each bin plotted for all of the samples. Approximately nine amplicons were absent in every sample (ie, a normalized coverage value of zero), and approximately 52 amplicons were represented at <10% of their expected read coverage. Whiskers show the 25th to 75th percentiles; median value is represented by the horizontal line. B: A box and whisker plot showing the distribution of read coverage for each amplicon, as a function of GC content. Each of the 1647 individual amplicons were placed in bins according to their GC% for each of the samples analyzed, and the distribution across all of the samples plotted. Whiskers show the 25th to 75th percentiles; median value is represented by the horizontal line; black circles are the fifth and 95th percentiles. A red line is shown to indicate a median amplicon expression value of 100 (Materials and Methods). C: The normalized coverage value for each of the 1647 amplicons was calculated for each of 16 samples analyzed, and the distribution within each sample was plotted. Whiskers show the 25th to 75th percentiles; median value is represented by the black horizontal line; the red line represents the expected mean value of 100; black circles are the fifth and 95th percentiles. D: Performance of MPN Ampliseq panel (x axis) compared with a commercially available real-time quantitative PCR–based assay (y axis) for the evaluation of JAK2 V617F allele burden. Linear regression was used to determine the line of best fit as shown by the red line on the graph. Slope = 1.15, R2 = 0.996. MPN, myeloproliferative neoplasm. The Journal of Molecular Diagnostics 2016 18, 707-718DOI: (10.1016/j.jmoldx.2016.05.006) Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 2 Mutations identified in MPN and related disorders by targeted exon resequencing. A: The number of mutations found in each gene is shown with mutations separated into either those previously reported in the COSMIC database (blue) or those not reported in the COSMIC database (red). B: Mutations are grouped according to diagnosis. The number of mutations in genes that were mutated in more than one patient are shown and subdivided into the different diagnostic categories (ET, PV, PMF, ET-MF, PV-MF, or other). The category other incorporates patients participating in the screen with a diagnosis of CNL (three patients), CMML (two patients), MDS/MPN overlap (four patients), or additional diagnoses only represented by a single patient (Table 1). C: The histogram displays the number of patients from the study according to mutation number. All patients were found to have between 0 and 4 mutations by our method. D: Frequency of mutations according to mutational type. Mutations were classified according to the presumed effect on the protein encoded. Missense mutations are by far the most common mutations found in this screen. CMML, chronic myelomonocytic leukemia; CNL, chronic neutrophilic leukemia; COSMIC, Catalog of Somatic Mutations in Cancer; ET, essential thrombocytosis; MDS, myelodysplastic syndrome; MF, myelofibrosis; MPN, myeloproliferative neoplasm; PMF, primary myelofibrosis; PV, polycythemia. The Journal of Molecular Diagnostics 2016 18, 707-718DOI: (10.1016/j.jmoldx.2016.05.006) Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 3 Targeted exon resequencing reveals a complex array of patient-specific gene mutations. A: A screen capture from the IGV for a patient found to contain two different missense mutations in the MPL gene (S505N and W515L as indicated by boxes). The genomic coordinates, amino acid sequence, and genomic sequence are found at the top of the image. A subset of individual DNA sequencing reads is found beneath with reads from either strand of the DNA shown by either red or blue bars. Reads are shown for both a patient blood sample and a sample of matched germline DNA (buccal). Segments of reads differing from the normal human genome reference are indicated by either showing the new DNA base or a gap. Note that contiguous reads for this patient only show one of the individual mutations and not both (ie, G→A or G→T), suggesting that this patient is a compound heterozygote. There are no abnormal sequencing reads in this patient's buccal sample, suggesting these are also somatic mutations. B: A screen capture from IGV as shown for panel A. Blood and buccal sample reads for the gene SH2B3 are shown. There is an 11-bp frameshift deletion (L310 fs*12) found on both strands of the DNA. This same mutation is also found at very low frequency in the patient buccal sample. IGV, integrative genomics viewer; PGM, Personal Genome Machine. The Journal of Molecular Diagnostics 2016 18, 707-718DOI: (10.1016/j.jmoldx.2016.05.006) Copyright © 2016 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions