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Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow

BACKGROUND: Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis; nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we u...

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Autores principales: Sakhinia, E, Estiar, MA, Andalib, S, Rezamand, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shahid Sadoughi University of Medical Sciences 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402154/
https://www.ncbi.nlm.nih.gov/pubmed/25914800
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author Sakhinia, E
Estiar, MA
Andalib, S
Rezamand, A
author_facet Sakhinia, E
Estiar, MA
Andalib, S
Rezamand, A
author_sort Sakhinia, E
collection PubMed
description BACKGROUND: Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis; nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute myeloid leukaemia (AML) as a way of application of microarray gene signatures. More to the point, the specificity of such genes for this distinction was investigated by their measurement in cases afflicted with chronic myeloid leukaemia (CML) and with normal bone marrow (BM). MATERIAL AND METHOD: Mononuclear cells were sorted into unselected (total), CD34+ve, and CD34-ve fractions, mRNA globally amplified by using PolyA PCR. Moreover, the level of expression of 17 Indicator genes was identified by using real-time PCR. RESULTS: No statistically significant difference was observed in expression for any gene among CML cases. Cyclin D3 (p≤0.04) was exclusively upregulated in CML in the CD34+ fraction, notwithstanding upregulation of HkrT-1 (p≤0.02) and fumarylacetoacetate (p≤0.03) in AML. HOXA9 experienced a non-significant upregulation in AML; however, in combination with proteoglycan 1 distinguished between AML and normal samples in the CD34- fraction in unsupervised clustering. Unsupervised clustering distinguished among AML and the other diagnostic groups. CONCLUSION: The evidence from the present study suggests that the genes discriminatory between ALL and AML are uninformative in the context of CML and normal BM, excepting for distinction with AML.
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spelling pubmed-44021542015-04-24 Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow Sakhinia, E Estiar, MA Andalib, S Rezamand, A Iran J Ped Hematol Oncol Original Article BACKGROUND: Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis; nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute myeloid leukaemia (AML) as a way of application of microarray gene signatures. More to the point, the specificity of such genes for this distinction was investigated by their measurement in cases afflicted with chronic myeloid leukaemia (CML) and with normal bone marrow (BM). MATERIAL AND METHOD: Mononuclear cells were sorted into unselected (total), CD34+ve, and CD34-ve fractions, mRNA globally amplified by using PolyA PCR. Moreover, the level of expression of 17 Indicator genes was identified by using real-time PCR. RESULTS: No statistically significant difference was observed in expression for any gene among CML cases. Cyclin D3 (p≤0.04) was exclusively upregulated in CML in the CD34+ fraction, notwithstanding upregulation of HkrT-1 (p≤0.02) and fumarylacetoacetate (p≤0.03) in AML. HOXA9 experienced a non-significant upregulation in AML; however, in combination with proteoglycan 1 distinguished between AML and normal samples in the CD34- fraction in unsupervised clustering. Unsupervised clustering distinguished among AML and the other diagnostic groups. CONCLUSION: The evidence from the present study suggests that the genes discriminatory between ALL and AML are uninformative in the context of CML and normal BM, excepting for distinction with AML. Shahid Sadoughi University of Medical Sciences 2015 2015-03-15 /pmc/articles/PMC4402154/ /pubmed/25914800 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sakhinia, E
Estiar, MA
Andalib, S
Rezamand, A
Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title_full Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title_fullStr Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title_full_unstemmed Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title_short Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
title_sort expression profiling of microarray gene signatures in acute and chronic myeloid leukaemia in human bone marrow
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402154/
https://www.ncbi.nlm.nih.gov/pubmed/25914800
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