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Application of the AMLprofiler Diagnostic Microarray in the South African Setting
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 in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697127/ https://www.ncbi.nlm.nih.gov/pubmed/29238371 http://dx.doi.org/10.1155/2017/2560191 |
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author | Kappala, S. S. Alessandrini, M. Matlhako, T. Beltchev, E. Pool, R. Pepper, M. S. |
author_facet | Kappala, S. S. Alessandrini, M. Matlhako, T. Beltchev, E. Pool, R. Pepper, M. S. |
author_sort | Kappala, S. S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5697127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-56971272017-12-13 Application of the AMLprofiler Diagnostic Microarray in the South African Setting Kappala, S. S. Alessandrini, M. Matlhako, T. Beltchev, E. Pool, R. Pepper, M. S. Stem Cells Int Research Article 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. Hindawi 2017 2017-11-07 /pmc/articles/PMC5697127/ /pubmed/29238371 http://dx.doi.org/10.1155/2017/2560191 Text en Copyright © 2017 S. S. Kappala et al. http://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article Kappala, S. S. Alessandrini, M. Matlhako, T. Beltchev, E. Pool, R. Pepper, M. S. Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title | Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title_full | Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title_fullStr | Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title_full_unstemmed | Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title_short | Application of the AMLprofiler Diagnostic Microarray in the South African Setting |
title_sort | application of the amlprofiler diagnostic microarray in the south african setting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697127/ https://www.ncbi.nlm.nih.gov/pubmed/29238371 http://dx.doi.org/10.1155/2017/2560191 |
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