Literature DB >> 24189654

Validation and implementation of targeted capture and sequencing for the detection of actionable mutation, copy number variation, and gene rearrangement in clinical cancer specimens.

Colin C Pritchard1, Stephen J Salipante2, Karen Koehler3, Christina Smith3, Sheena Scroggins3, Brent Wood4, David Wu3, Ming K Lee5, Suzanne Dintzis6, Andrew Adey7, Yajuan Liu6, Keith D Eaton8, Renato Martins8, Kari Stricker8, Kim A Margolin8, Noah Hoffman3, Jane E Churpek9, Jonathan F Tait3, Mary-Claire King10, Tom Walsh5.   

Abstract

Recent years have seen development and implementation of anticancer therapies targeted to particular gene mutations, but methods to assay clinical cancer specimens in a comprehensive way for the critical mutations remain underdeveloped. We have developed UW-OncoPlex, a clinical molecular diagnostic assay to provide simultaneous deep-sequencing information, based on >500× average coverage, for all classes of mutations in 194 clinically relevant genes. To validate UW-OncoPlex, we tested 98 previously characterized clinical tumor specimens from 10 different cancer types, including 41 formalin-fixed paraffin-embedded tissue samples. Mixing studies indicated reliable mutation detection in samples with ≥ 10% tumor cells. In clinical samples with ≥ 10% tumor cells, UW-OncoPlex correctly identified 129 of 130 known mutations [sensitivity 99.2%, (95% CI, 95.8%-99.9%)], including single nucleotide variants, small insertions and deletions, internal tandem duplications, gene copy number gains and amplifications, gene copy losses, chromosomal gains and losses, and actionable genomic rearrangements, including ALK-EML4, ROS1, PML-RARA, and BCR-ABL. In the same samples, the assay also identified actionable point mutations in genes not previously analyzed and novel gene rearrangements of MLL and GRIK4 in melanoma, and of ASXL1, PIK3R1, and SGCZ in acute myeloid leukemia. To best guide existing and emerging treatment regimens and facilitate integration of genomic testing with patient care, we developed a framework for data analysis, decision support, and reporting clinically actionable results.
Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 24189654      PMCID: PMC3873496          DOI: 10.1016/j.jmoldx.2013.08.004

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  46 in total

1.  VarScan: variant detection in massively parallel sequencing of individual and pooled samples.

Authors:  Daniel C Koboldt; Ken Chen; Todd Wylie; David E Larson; Michael D McLellan; Elaine R Mardis; George M Weinstock; Richard K Wilson; Li Ding
Journal:  Bioinformatics       Date:  2009-06-19       Impact factor: 6.937

2.  Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2.

Authors:  D J Slamon; B Leyland-Jones; S Shak; H Fuchs; V Paton; A Bajamonde; T Fleming; W Eiermann; J Wolter; M Pegram; J Baselga; L Norton
Journal:  N Engl J Med       Date:  2001-03-15       Impact factor: 91.245

3.  EGF receptor gene mutations are common in lung cancers from "never smokers" and are associated with sensitivity of tumors to gefitinib and erlotinib.

Authors:  William Pao; Vincent Miller; Maureen Zakowski; Jennifer Doherty; Katerina Politi; Inderpal Sarkaria; Bhuvanesh Singh; Robert Heelan; Valerie Rusch; Lucinda Fulton; Elaine Mardis; Doris Kupfer; Richard Wilson; Mark Kris; Harold Varmus
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-25       Impact factor: 11.205

4.  Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads.

Authors:  Kai Ye; Marcel H Schulz; Quan Long; Rolf Apweiler; Zemin Ning
Journal:  Bioinformatics       Date:  2009-06-26       Impact factor: 6.937

5.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

6.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

7.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

8.  Zeta-sarcoglycan, a novel component of the sarcoglycan complex, is reduced in muscular dystrophy.

Authors:  Matthew T Wheeler; Sara Zarnegar; Elizabeth M McNally
Journal:  Hum Mol Genet       Date:  2002-09-01       Impact factor: 6.150

9.  The genes encoding the glutamate receptor subunits KA1 and KA2 (GRIK4 and GRIK5) are located on separate chromosomes in human, mouse, and rat.

Authors:  C Szpirer; M Molné; R Antonacci; N A Jenkins; P Finelli; J Szpirer; M Riviere; M Rocchi; D J Gilbert; N G Copeland
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-06       Impact factor: 11.205

10.  Profiling critical cancer gene mutations in clinical tumor samples.

Authors:  Laura E MacConaill; Catarina D Campbell; Sarah M Kehoe; Adam J Bass; Charles Hatton; Lili Niu; Matt Davis; Keluo Yao; Megan Hanna; Chandrani Mondal; Lauren Luongo; Caroline M Emery; Alissa C Baker; Juliet Philips; Deborah J Goff; Michelangelo Fiorentino; Mark A Rubin; Kornelia Polyak; Jennifer Chan; Yuexiang Wang; Jonathan A Fletcher; Sandro Santagata; Gianni Corso; Franco Roviello; Ramesh Shivdasani; Mark W Kieran; Keith L Ligon; Charles D Stiles; William C Hahn; Matthew L Meyerson; Levi A Garraway
Journal:  PLoS One       Date:  2009-11-18       Impact factor: 3.240

View more
  119 in total

Review 1.  Advances in the Molecular Analysis of Soft Tissue Tumors and Clinical Implications.

Authors:  Adrian Marino-Enriquez
Journal:  Surg Pathol Clin       Date:  2015-09

2.  Children with DIPG and high-grade glioma treated with temozolomide, irinotecan, and bevacizumab: the Seattle Children's Hospital experience.

Authors:  Erin E Crotty; Sarah E S Leary; J Russell Geyer; James M Olson; Nathan E Millard; Aimee A Sato; Ralph P Ermoian; Bonnie L Cole; Christina M Lockwood; Vera A Paulson; Samuel R Browd; Richard G Ellenbogen; Jason S Hauptman; Amy Lee; Jeffrey G Ojemann; Nicholas A Vitanza
Journal:  J Neurooncol       Date:  2020-06-16       Impact factor: 4.130

Review 3.  Molecular markers predictive of chemotherapy response in colorectal cancer.

Authors:  Stacey Shiovitz; William M Grady
Journal:  Curr Gastroenterol Rep       Date:  2015-02

4.  Germline and somatic mutations in homologous recombination genes predict platinum response and survival in ovarian, fallopian tube, and peritoneal carcinomas.

Authors:  Kathryn P Pennington; Tom Walsh; Maria I Harrell; Ming K Lee; Christopher C Pennil; Mara H Rendi; Anne Thornton; Barbara M Norquist; Silvia Casadei; Alexander S Nord; Kathy J Agnew; Colin C Pritchard; Sheena Scroggins; Rochelle L Garcia; Mary-Claire King; Elizabeth M Swisher
Journal:  Clin Cancer Res       Date:  2013-11-15       Impact factor: 12.531

5.  Using Somatic Mutations from Tumors to Classify Variants in Mismatch Repair Genes.

Authors:  Brian H Shirts; Eric Q Konnick; Sarah Upham; Tom Walsh; John Michael O Ranola; Angela L Jacobson; Mary-Claire King; Rachel Pearlman; Heather Hampel; Colin C Pritchard
Journal:  Am J Hum Genet       Date:  2018-06-07       Impact factor: 11.025

6.  Assessing copy number alterations in targeted, amplicon-based next-generation sequencing data.

Authors:  Catherine Grasso; Timothy Butler; Katherine Rhodes; Michael Quist; Tanaya L Neff; Stephen Moore; Scott A Tomlins; Erica Reinig; Carol Beadling; Mark Andersen; Christopher L Corless
Journal:  J Mol Diagn       Date:  2014-11-07       Impact factor: 5.568

7.  Comparison of custom capture for targeted next-generation DNA sequencing.

Authors:  Eric Samorodnitsky; Jharna Datta; Benjamin M Jewell; Raffi Hagopian; Jharna Miya; Michele R Wing; Senthilkumar Damodaran; Juliana M Lippus; Julie W Reeser; Darshna Bhatt; Cynthia D Timmers; Sameek Roychowdhury
Journal:  J Mol Diagn       Date:  2015-01       Impact factor: 5.568

8.  A wide spectrum of EGFR mutations in glioblastoma is detected by a single clinical oncology targeted next-generation sequencing panel.

Authors:  Patrick J Cimino; Andy Bredemeyer; Haley J Abel; Eric J Duncavage
Journal:  Exp Mol Pathol       Date:  2015-04-22       Impact factor: 3.362

9.  Jumping translocations in myelodysplastic syndromes.

Authors:  Cecilia C S Yeung; H Joachim Deeg; Colin Pritchard; David Wu; Min Fang
Journal:  Cancer Genet       Date:  2016-08-08

Review 10.  Precision Oncology Medicine: The Clinical Relevance of Patient-Specific Biomarkers Used to Optimize Cancer Treatment.

Authors:  Keith T Schmidt; Cindy H Chau; Douglas K Price; William D Figg
Journal:  J Clin Pharmacol       Date:  2016-06-17       Impact factor: 3.126

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.