Literature DB >> 29025587

Addition of chromosomal microarray and next generation sequencing to FISH and classical cytogenetics enhances genomic profiling of myeloid malignancies.

Sandeep Mukherjee1, Malini Sathanoori1, Zeq Ma1, Matthew Andreatta1, Patrick A Lennon2, Scott R Wheeler1, James L Prescott1, Christopher Coldren1, Terence Casey1, Heather Rietz1, Kristina Fasig1, Randall Woodford1, Taylor Hartley1, David Spence1, William Donnelan3, Jesus Berdeja3, Ian Flinn3, Natalia Kozyr4, Mark Bouzyk4, Mick Correll5, Hao Ho1, Vladimir Kravtsov1, Dana Tunnel1, Pranil Chandra1.   

Abstract

Comprehensive genetic profiling is increasingly important for the clinical workup of hematologic tumors, as specific alterations are now linked to diagnostic characterization, prognostic stratification and therapy selection. To characterize relevant genetic and genomic alterations in myeloid malignancies maximally, we utilized a comprehensive strategy spanning fluorescence in situ hybridization (FISH), classical karyotyping, Chromosomal Microarray (CMA) for detection of copy number variants (CNVs) and Next generation Sequencing (NGS) analysis. In our cohort of 569 patients spanning the myeloid spectrum, NGS and CMA testing frequently identified mutations and copy number changes in the majority of genes with important clinical associations, such as TP53, TET2, RUNX1, SRSF2, APC and ATM. Most importantly, NGS and CMA uncovered medically actionable aberrations in 75.6% of cases normal by FISH/cytogenetics testing. NGS identified mutations in 65.5% of samples normal by CMA, cytogenetics and FISH, whereas CNVs were detected in 10.1% cases that were normal by all other methodologies. Finally, FISH or cytogenetics, or both, were abnormal in 14.1% of cases where NGS or CMA failed to detect any changes. Multiple mutations and CNVs were found to coexist, with potential implications for patient stratification. Thus, high throughput genomic tumor profiling through targeted DNA sequencing and CNV analysis complements conventional methods and leads to more frequent detection of actionable alterations.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chromosomal microarray; actionable; genomic profiling; myeloid malignancy; next generation sequencing

Mesh:

Year:  2017        PMID: 29025587     DOI: 10.1016/j.cancergen.2017.07.010

Source DB:  PubMed          Journal:  Cancer Genet


  1 in total

1.  Delineation of Molecular Lesions in Acute Myeloid Leukemia Patients at Diagnosis: Integrated Next Generation Sequencing and Cytogenomic Studies.

Authors:  Sorina Mihaela Papuc; Alina Erbescu; Diana Cisleanu; Diana Ozunu; Cristina Enache; Ion Dumitru; Elena Lupoaia Andrus; Mihaela Gaman; Viola Maria Popov; Maria Dobre; Oana Stanca; Silvana Angelescu; Nicoleta Berbec; Andrei Colita; Ana-Maria Vladareanu; Horia Bumbea; Aurora Arghir
Journal:  Genes (Basel)       Date:  2021-05-30       Impact factor: 4.096

  1 in total

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