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Stem Cells International
Volume 2017, Article ID 2560191, 8 pages
Research Article

Application of the AMLprofiler Diagnostic Microarray in the South African Setting

1Institute for Cellular and Molecular Medicine, Department of Immunology, Faculty of Health Sciences, and SAMRC Extramural Unit for Stem Cell Research and Therapy, University of Pretoria, Pretoria, South Africa
2Department of Haematology, Faculty of Health Sciences, University of Pretoria and National Health Laboratory Services, Pretoria, South Africa

Correspondence should be addressed to M. S. Pepper;

Received 21 May 2017; Revised 9 August 2017; Accepted 12 October 2017; Published 7 November 2017

Academic Editor: Linda Sommese

Copyright © 2017 S. S. Kappala et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Acute myeloid leukemia (AML) is characterized by proliferation of the myeloid lineage and accumulation of immature hematopoietic cells in the bone marrow and is typified by marked heterogeneity both in response to treatment and survival. AMLprofiler is a qualitative in vitro diagnostic microarray incorporating seven molecular biomarkers used to diagnose and predict posttherapy survival rates. In this study, we compared AMLprofiler to routine AML diagnostic methodologies employed in South Africa, focusing on consistency of the results, cost, and time to result. RNA was isolated from bone marrow and peripheral blood samples from patients with de novo AML and was processed using Affymetrix Gene Profiling Reagent kits. The results from AMLprofiler and standard methodologies were highly comparable. In addition, many samples were determined to be positive for biomarkers not routinely investigated in South Africa, namely, CEBPA double mutants, NPM1 variants, and altered expression levels of BAALC and EVI1. 38% of samples presented with no positive biomarker; AMLprofiler nonetheless enabled 26% of AML patients to be classified into either favorable or poor prognostic categories. This study highlights the comprehensive nature of the microarray. Decreased time to result and refinement of risk stratification are notable benefits.