Literature DB >> 27105923

Plasmid-Based Materials as Multiplex Quality Controls and Calibrators for Clinical Next-Generation Sequencing Assays.

David J Sims1, Robin D Harrington1, Eric C Polley2, Thomas D Forbes1, Michele G Mehaffey1, Paul M McGregor1, Corinne E Camalier1, Kneshay N Harper1, Courtney H Bouk1, Biswajit Das1, Barbara A Conley2, James H Doroshow2, P Mickey Williams1, Chih-Jian Lih3.   

Abstract

Although next-generation sequencing technologies have been widely adapted for clinical diagnostic applications, an urgent need exists for multianalyte calibrator materials and controls to evaluate the performance of these assays. Control materials will also play a major role in the assessment, development, and selection of appropriate alignment and variant calling pipelines. We report an approach to provide effective multianalyte controls for next-generation sequencing assays, referred to as the control plasmid spiked-in genome (CPSG). Control plasmids that contain approximately 1000 bases of human genomic sequence with a specific mutation of interest positioned near the middle of the insert and a nearby 6-bp molecular barcode were synthesized, linearized, quantitated, and spiked into genomic DNA derived from formalin-fixed, paraffin-embedded-prepared hapmap cell lines at defined copy number ratios. Serial titration experiments demonstrated the CPSGs performed with similar efficiency of variant detection as formalin-fixed, paraffin-embedded cell line genomic DNA. Repetitive analyses of one lot of CPSGs 90 times during 18 months revealed that the reagents were stable with consistent detection of each of the plasmids at similar variant allele frequencies. CPSGs are designed to work across most next-generation sequencing methods, platforms, and data analysis pipelines. CPSGs are robust controls and can be used to evaluate the performance of different next-generation sequencing diagnostic assays, assess data analysis pipelines, and ensure robust assay performance metrics. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2016        PMID: 27105923      PMCID: PMC4851732          DOI: 10.1016/j.jmoldx.2015.11.008

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


  19 in total

1.  The External RNA Controls Consortium: a progress report.

Authors:  Shawn C Baker; Steven R Bauer; Richard P Beyer; James D Brenton; Bud Bromley; John Burrill; Helen Causton; Michael P Conley; Rosalie Elespuru; Michael Fero; Carole Foy; James Fuscoe; Xiaolian Gao; David Lee Gerhold; Patrick Gilles; Federico Goodsaid; Xu Guo; Joe Hackett; Richard D Hockett; Pranvera Ikonomi; Rafael A Irizarry; Ernest S Kawasaki; Tamma Kaysser-Kranich; Kathleen Kerr; Gretchen Kiser; Walter H Koch; Kathy Y Lee; Chunmei Liu; Z Lewis Liu; Anne Lucas; Chitra F Manohar; Garry Miyada; Zora Modrusan; Helen Parkes; Raj K Puri; Laura Reid; Thomas B Ryder; Marc Salit; Raymond R Samaha; Uwe Scherf; Timothy J Sendera; Robert A Setterquist; Leming Shi; Richard Shippy; Jesus V Soriano; Elizabeth A Wagar; Janet A Warrington; Mickey Williams; Frederike Wilmer; Mike Wilson; Paul K Wolber; Xiaoning Wu; Renata Zadro
Journal:  Nat Methods       Date:  2005-10       Impact factor: 28.547

2.  Heterogeneity Underlies the Emergence of EGFRT790 Wild-Type Clones Following Treatment of T790M-Positive Cancers with a Third-Generation EGFR Inhibitor.

Authors:  Zofia Piotrowska; Matthew J Niederst; Chris A Karlovich; Heather A Wakelee; Joel W Neal; Mari Mino-Kenudson; Linnea Fulton; Aaron N Hata; Elizabeth L Lockerman; Anuj Kalsy; Subba Digumarthy; Alona Muzikansky; Mitch Raponi; Angel R Garcia; Hillary E Mulvey; Melissa K Parks; Richard H DiCecca; Dora Dias-Santagata; A John Iafrate; Alice T Shaw; Andrew R Allen; Jeffrey A Engelman; Lecia V Sequist
Journal:  Cancer Discov       Date:  2015-05-01       Impact factor: 39.397

Review 3.  Next-generation sequencing in the clinic: promises and challenges.

Authors:  Jiekun Xuan; Ying Yu; Tao Qing; Lei Guo; Leming Shi
Journal:  Cancer Lett       Date:  2012-11-19       Impact factor: 8.679

4.  Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls.

Authors:  Justin M Zook; Brad Chapman; Jason Wang; David Mittelman; Oliver Hofmann; Winston Hide; Marc Salit
Journal:  Nat Biotechnol       Date:  2014-02-16       Impact factor: 54.908

Review 5.  Prioritizing targets for precision cancer medicine.

Authors:  F Andre; E Mardis; M Salm; J-C Soria; L L Siu; C Swanton
Journal:  Ann Oncol       Date:  2014-10-24       Impact factor: 32.976

6.  Clinical validation of a next-generation sequencing screen for mutational hotspots in 46 cancer-related genes.

Authors:  Rajesh R Singh; Keyur P Patel; Mark J Routbort; Neelima G Reddy; Bedia A Barkoh; Brian Handal; Rashmi Kanagal-Shamanna; Wesley O Greaves; L Jeffrey Medeiros; Kenneth D Aldape; Rajyalakshmi Luthra
Journal:  J Mol Diagn       Date:  2013-06-26       Impact factor: 5.568

7.  Karyotypic complexity of the NCI-60 drug-screening panel.

Authors:  Anna V Roschke; Giovanni Tonon; Kristen S Gehlhaus; Nicolas McTyre; Kimberly J Bussey; Samir Lababidi; Dominic A Scudiero; John N Weinstein; Ilan R Kirsch
Journal:  Cancer Res       Date:  2003-12-15       Impact factor: 12.701

8.  ACMG clinical laboratory standards for next-generation sequencing.

Authors:  Heidi L Rehm; Sherri J Bale; Pinar Bayrak-Toydemir; Jonathan S Berg; Kerry K Brown; Joshua L Deignan; Michael J Friez; Birgit H Funke; Madhuri R Hegde; Elaine Lyon
Journal:  Genet Med       Date:  2013-07-25       Impact factor: 8.822

9.  Recombination phenotypes of the NCI-60 collection of human cancer cells.

Authors:  Dawn M Stults; Michael W Killen; Brent J Shelton; Andrew J Pierce
Journal:  BMC Mol Biol       Date:  2011-05-17       Impact factor: 2.946

10.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

View more
  13 in total

Review 1.  Reference standards for next-generation sequencing.

Authors:  Simon A Hardwick; Ira W Deveson; Tim R Mercer
Journal:  Nat Rev Genet       Date:  2017-06-19       Impact factor: 53.242

Review 2.  The current state of molecular testing in the treatment of patients with solid tumors, 2019.

Authors:  Wafik S El-Deiry; Richard M Goldberg; Heinz-Josef Lenz; Anthony F Shields; Geoffrey T Gibney; Antoinette R Tan; Jubilee Brown; Burton Eisenberg; Elisabeth I Heath; Surasak Phuphanich; Edward Kim; Andrew J Brenner; John L Marshall
Journal:  CA Cancer J Clin       Date:  2019-05-22       Impact factor: 508.702

Review 3.  Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists.

Authors:  Lawrence J Jennings; Maria E Arcila; Christopher Corless; Suzanne Kamel-Reid; Ira M Lubin; John Pfeifer; Robyn L Temple-Smolkin; Karl V Voelkerding; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-03-21       Impact factor: 5.568

4.  A field guide for the compositional analysis of any-omics data.

Authors:  Thomas P Quinn; Ionas Erb; Greg Gloor; Cedric Notredame; Mark F Richardson; Tamsyn M Crowley
Journal:  Gigascience       Date:  2019-09-01       Impact factor: 6.524

5.  Proficiency Testing of Standardized Samples Shows Very High Interlaboratory Agreement for Clinical Next-Generation Sequencing-Based Oncology Assays.

Authors:  Jason D Merker; Kelly Devereaux; A John Iafrate; Suzanne Kamel-Reid; Annette S Kim; Joel T Moncur; Stephen B Montgomery; Rakesh Nagarajan; Bryce P Portier; Mark J Routbort; Craig Smail; Lea F Surrey; Patricia Vasalos; Alexander J Lazar; Neal I Lindeman
Journal:  Arch Pathol Lab Med       Date:  2018-10-30       Impact factor: 5.534

Review 6.  The Application of Control Materials for Ongoing Quality Management of Next-Generation Sequencing in a Clinical Genetic Laboratory.

Authors:  Young-Kyu Min; Kyung-Sun Park
Journal:  Medicina (Kaunas)       Date:  2021-05-28       Impact factor: 2.430

Review 7.  Development and Characterization of Reference Materials for Genetic Testing: Focus on Public Partnerships.

Authors:  Lisa V Kalman; Vivekananda Datta; Mickey Williams; Justin M Zook; Marc L Salit; Jin Yeong Han
Journal:  Ann Lab Med       Date:  2016-11       Impact factor: 3.464

8.  Quality Control of Next-generation Sequencing-based In vitro Diagnostic Test for Onco-relevant Mutations Using Multiplex Reference Materials in Plasma.

Authors:  Donglai Liu; Haiwei Zhou; Dawei Shi; Shu Shen; Yabin Tian; Lin Wang; Jiatao Lou; Rong Cong; Juan Lu; Henghui Zhang; Meiru Zhao; Shida Zhu; Zhisheng Cao; Ruilin Jin; Yin Wang; Xiaoni Zhang; Guohua Yang; Youchun Wang; Chuntao Zhang
Journal:  J Cancer       Date:  2018-04-18       Impact factor: 4.207

9.  Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis.

Authors:  Simon A Hardwick; Wendy Y Chen; Ted Wong; Bindu S Kanakamedala; Ira W Deveson; Sarah E Ongley; Nadia S Santini; Esteban Marcellin; Martin A Smith; Lars K Nielsen; Catherine E Lovelock; Brett A Neilan; Tim R Mercer
Journal:  Nat Commun       Date:  2018-08-06       Impact factor: 14.919

10.  The sensitivity and efficacy method of PIK3CA exon 9 E545A as a high diagnostic accuracy in breast cancer.

Authors:  Fuad Al-Ahwani
Journal:  J Genet Eng Biotechnol       Date:  2017-10-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.