| Literature DB >> 26966091 |
Jie He1, Omar Abdel-Wahab2, Michelle K Nahas1, Kai Wang1, Raajit K Rampal2, Andrew M Intlekofer3, Jay Patel4, Andrei Krivstov5, Garrett M Frampton1, Lauren E Young1, Shan Zhong1, Mark Bailey1, Jared R White1, Steven Roels1, Jason Deffenbaugh1, Alex Fichtenholtz1, Timothy Brennan1, Mark Rosenzweig1, Kimberly Pelak1, Kristina M Knapp6, Kristina W Brennan1, Amy L Donahue1, Geneva Young1, Lazaro Garcia1, Selmira T Beckstrom1, Mandy Zhao1, Emily White1, Vera Banning1, Jamie Buell1, Kiel Iwanik1, Jeffrey S Ross1, Deborah Morosini1, Anas Younes7, Alan M Hanash8, Elisabeth Paietta9, Kathryn Roberts10, Charles Mullighan10, Ahmet Dogan11, Scott A Armstrong5, Tariq Mughal12, Jo-Anne Vergilio1, Elaine Labrecque1, Rachel Erlich1, Christine Vietz1, Roman Yelensky1, Philip J Stephens1, Vincent A Miller1, Marcel R M van den Brink13, Geoff A Otto1, Doron Lipson1, Ross L Levine14.
Abstract
The spectrum of somatic alterations in hematologic malignancies includes substitutions, insertions/deletions (indels), copy number alterations (CNAs), and a wide range of gene fusions; no current clinically available single assay captures the different types of alterations. We developed a novel next-generation sequencing-based assay to identify all classes of genomic alterations using archived formalin-fixed paraffin-embedded blood and bone marrow samples with high accuracy in a clinically relevant time frame, which is performed in our Clinical Laboratory Improvement Amendments-certified College of American Pathologists-accredited laboratory. Targeted capture of DNA/RNA and next-generation sequencing reliably identifies substitutions, indels, CNAs, and gene fusions, with similar accuracy to lower-throughput assays that focus on specific genes and types of genomic alterations. Profiling of 3696 samples identified recurrent somatic alterations that impact diagnosis, prognosis, and therapy selection. This comprehensive genomic profiling approach has proved effective in detecting all types of genomic alterations, including fusion transcripts, which increases the ability to identify clinically relevant genomic alterations with therapeutic relevance.Entities:
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Year: 2016 PMID: 26966091 PMCID: PMC4968346 DOI: 10.1182/blood-2015-08-664649
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113