1. Feasibility of the AML profiler (Skyline™ Array) for patient risk stratification in a multicentre trial: a preliminary comparison with the conventional approach
- Author
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Granada Perea, Eulàlia Puigdecanet, Elena Bussaglia, Jorge Sierra, Elena Serrano, Maria Paz Queipo De Llano, Lara Nonell, Maite Carricondo, Camino Estivill, Juan José Hernández, Josep F. Nomdedeu, Lurdes Zamora, Antoni Garcia, Josep-Maria Ribera, Josep M Marti-Tutusaus, I Sánchez-Ortega, Mar Tormo, Francesc Solé, Anna Aventin, and Maria Salut Brunet
- Subjects
0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Pathology ,NPM1 ,business.industry ,Patient risk ,Hematology ,General Medicine ,Gene expression profiling ,03 medical and health sciences ,030104 developmental biology ,medicine.anatomical_structure ,hemic and lymphatic diseases ,Internal medicine ,Molecular genetics ,medicine ,Bone marrow ,DNA microarray ,business ,Gene ,BAALC - Abstract
Deoxyribonucleic acid microarrays allow researchers to measure mRNA levels of thousands of genes in a single experiment and could be useful for diagnostic purposes in patients with acute myeloid leukaemia (AML). We assessed the feasibility of the AML profiler (Skyline™ Array) in genetic stratification of patients with de novo AML and compared the results with those obtained using the standard cytogenetic and molecular approach. Diagnostic bone marrow from 31 consecutive de novo AML cases was used to test MLL-PTD, FLT3-ITD and TKD, NPM1 and CEBPAdm mutations. Purified RNA was used to assess RUNX1-RUNX1T1, PML-RARα and CBFβ-MYH11 rearrangements. RNA remnants underwent gene expression profiling analysis using the AML profiler, which detects chromosomal aberrations: t(8;21), t(15;17), inv(16), mutations (CEBPAdm, ABD-NPM1) and BAALC and EVI1 expression. Thirty cases were successfully analysed with both methods. Five cases had FLT3-ITD. In one case, a t(8;21) was correctly detected by both methods. Four cases had inv(16); in one, the RNA quality was unsatisfactory and it was not hybridized, and in the other three, the AML profiler detected the genetic lesion - this being a rare type I translocation in one case. Two cases with acute promyelocytic leukaemia were diagnosed by both methods. Results for NPM1 mutations were concordant in all but two cases (2/11, non-ABD mutations). Analysis of costs and turnaround times showed that the AML profiler was no more expensive than the conventional molecular approach. These results suggest that the AML profiler could be useful in multicentre trials to rapidly identify patients with AML with a good prognosis. Copyright © 2016 John Wiley & Sons, Ltd.
- Published
- 2016
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