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Gene Expression Profiling of Acute Lymphoblastic Leukemia in Children with Very Early Relapse

Authors :
Juan Carlos Núñez-Enríquez
Silvia Jiménez-Morales
Alejandra Jimena García Velázquez
Diego Alberto Bárcenas-López
Janet Flores-Lujano
Raúl Mojica-Espinoza
Karina Anastacia Solís-Labastida
Juan Manuel Mejía-Aranguré
Elva Jiménez-Hernández
Laura Eugenia Espinoza-Hernández
Alfredo Hidalgo-Miranda
Vilma Carolina Bekker-Méndez
Fausto Sánchez-Muñoz
Laura Elizabeth Merino-Pasaye
Martha Margarita Velázquez-Aviña
Julian Ramírez-Bello
María Luisa Pérez-Saldivar
Gabriela Bibiana Martínez-Morales
Migiccl
Source :
Archives of Medical Research. 47:644-655
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide. Mexican patients have high mortality rates, low frequency of good prognosis biomarkers (i.e., ETV6-RUNX1) and a high proportion is classified at the time of diagnosis with a high risk to relapse according to clinical features. In addition, very early relapses are more frequently observed than in other populations. The aim of the study was to identify new potential biomarkers associated with very early relapse in Mexican ALL children through transcriptome analysis.Microarray gene expression profiling on bone marrow samples of 54 pediatric ALL patients, collected at time of diagnosis and/or at relapse, was performed. Eleven patients presented relapse within the first 18 months after diagnosis. Affymetrix Human Transcriptome Array 2.0 (HTA 2.0) was used to perform gene expression analysis. Annotation and functional enrichment analyses were carried out using Gene Ontology, KEGG pathway analysis and Ingenuity Pathway Analysis tools.BLVRB, ZCCHC7, PAX5, EBF1, TMOD1 and BLNK were differentially expressed (fold-change2.0 and p value0.01) between relapsed and non-relapsed patients. Functional analysis of abnormally expressed genes revealed their important role in cellular processes related to the development of hematological diseases, cancer, cell death and survival and in cell-to-cell signaling interaction.Our data support previous findings showing the relevance of PAX5, EBF1 and ZCCHC7 as potential biomarkers to identify a subgroup of ALL children in high risk to relapse.

Details

ISSN :
01884409
Volume :
47
Database :
OpenAIRE
Journal :
Archives of Medical Research
Accession number :
edsair.doi.dedup.....b750460d01129ec053c2d3dc78e35bc2