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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center
2017
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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. |
format | Online Article Text |
id | pubmed-5338275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Tehran University of Medical Sciences, Hematology-Oncology and Stem Cell Transplantation Research Center |
record_format | MEDLINE/PubMed |
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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