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Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways

Background: Acute promyelocytic leukemia (APL) is a unique subtype of acute leukemia. APL is a curable disease; however, drug resistance, early mortality, disease relapse and treatment-related complications remain challenges in APL patient management. One issue underlying these challenges is that th...

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Autores principales: Jalili, Mahdi, Salehzadeh-Yazdi, Ali, Mohammadi, Saeed, Yaghmaie, Marjan, Ghavamzadeh, Ardeshir, Alimoghaddam, Kamran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338275/
https://www.ncbi.nlm.nih.gov/pubmed/28286608
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author Jalili, Mahdi
Salehzadeh-Yazdi, Ali
Mohammadi, Saeed
Yaghmaie, Marjan
Ghavamzadeh, Ardeshir
Alimoghaddam, Kamran
author_facet Jalili, Mahdi
Salehzadeh-Yazdi, Ali
Mohammadi, Saeed
Yaghmaie, Marjan
Ghavamzadeh, Ardeshir
Alimoghaddam, Kamran
author_sort Jalili, Mahdi
collection PubMed
description Background: Acute promyelocytic leukemia (APL) is a unique subtype of acute leukemia. APL is a curable disease; however, drug resistance, early mortality, disease relapse and treatment-related complications remain challenges in APL patient management. One issue underlying these challenges is that the molecular mechanisms of the disease are not sufficiently understood. Materials and Methods: In this study, we performed a meta-analysis of gene expression profiles derived from microarray experiments and explored the background of disease by functional and pathway analysis. Results: Our analysis revealed a gene signature with 406 genes that are up or down-regulated in APL. The pathway analysis determined that MAPK pathway and its involved elements such as JUN gene and AP-1 play important roles in APL pathogenesis along with insulin-like growth factor–binding protein-7. Conclusion: The results of this meta-analysis could be useful for developing more effective therapy strategies and new targets for diagnosis and drugs.
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spelling pubmed-53382752017-03-10 Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways Jalili, Mahdi Salehzadeh-Yazdi, Ali Mohammadi, Saeed Yaghmaie, Marjan Ghavamzadeh, Ardeshir Alimoghaddam, Kamran Int J Hematol Oncol Stem Cell Res Original Article Background: Acute promyelocytic leukemia (APL) is a unique subtype of acute leukemia. APL is a curable disease; however, drug resistance, early mortality, disease relapse and treatment-related complications remain challenges in APL patient management. One issue underlying these challenges is that the molecular mechanisms of the disease are not sufficiently understood. Materials and Methods: In this study, we performed a meta-analysis of gene expression profiles derived from microarray experiments and explored the background of disease by functional and pathway analysis. Results: Our analysis revealed a gene signature with 406 genes that are up or down-regulated in APL. The pathway analysis determined that MAPK pathway and its involved elements such as JUN gene and AP-1 play important roles in APL pathogenesis along with insulin-like growth factor–binding protein-7. Conclusion: The results of this meta-analysis could be useful for developing more effective therapy strategies and new targets for diagnosis and drugs. Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center 2017-01-01 /pmc/articles/PMC5338275/ /pubmed/28286608 Text en Copyright : © International Journal of Hematology-Oncology and Stem Cell Research & Tehran University of Medical Sciences 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
Jalili, Mahdi
Salehzadeh-Yazdi, Ali
Mohammadi, Saeed
Yaghmaie, Marjan
Ghavamzadeh, Ardeshir
Alimoghaddam, Kamran
Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title_full Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title_fullStr Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title_full_unstemmed Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title_short Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways
title_sort meta-analysis of gene expression profiles in acute promyelocytic leukemia reveals involved pathways
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338275/
https://www.ncbi.nlm.nih.gov/pubmed/28286608
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