title: [microRNA expression in childhood acute granulocytic leukemia and its subtypes].
abstract: OBJECTIVE
  Recent studies have suggested that there is a close relation between microRNA and acute leukemia (AL). The aim of this study was to investigate and better understand the classification and diagnosis of AL as well as pathogenesis and prognosis of this disease.
  
  
  METHODS
  A total of 93 children with AL and and 12 cases of idiopathic thrombocytopenic purpura (as control group) were enrolled in this study. Microarray chip analysis of their bone marrow samples was conducted to evaluate the microRNA profiles. Quantitative real-time PCR was performed for validating the abnormal expression of microRNA.
  
  
  RESULTS
  The microRNA expression profiles were different between acute granulocytic leukemia and acute lymphoblastic leukemia and also between the three subtypes (M1, M2 and M3) of acute granulocytic leukemia according to FAB classification based on leukemic cell differentiation. These three subtypes of leukemia could be identified by unsupervised hierarchical cluster analysis of microRNA expression and had specific up-regulation of miR-335, miR-126 and miR-125b, respectively. However, in the M2 and M3 subtypes with positive AML1-ETO and PML-RARα, respectively, which have a better prognosis, the expressions of miR-126 and miR-125b were significantly higher than those with negative AML1-ETO and PML-RARα. Further more, miR-335 and miR-146 were up-regulated in acute granulocytic leukemia observed in this study, which are different from those reported for adult patients.
  
  
  CONCLUSIONS
  microRNA cascade may serve as new biomarkers for the classification and diagnosis of pediatric AL. It is also suggested that there might be different pathogenesis and prognosis between AL types related to specific expression and regulation of microRNA.
authors.affiliation: Department of Pediatrics, Sun Yat-sen University, Guangzhou, China. L-xuequn@126.com
authors.forename: Xue-qun
authors.initials: XQ
authors.lastname: Luo
authors.forename: Ling
authors.initials: L
authors.lastname: Xu
authors.forename: Zhi-yong
authors.initials: ZY
authors.lastname: Ke
authors.forename: Li-bin
authors.initials: LB
authors.lastname: Huang
authors.forename: Xiao-li
authors.initials: XL
authors.lastname: Zhang
authors.forename: Li-dan
authors.initials: LD
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D007223:Infant; D007951:Leukemia, Myeloid / Q000145:classification / Q000235:genetics* / Q000378:metabolism; D015470:Leukemia, Myeloid, Acute / Q000235:genetics / Q000378:metabolism; D015473:Leukemia, Promyelocytic, Acute / Q000235:genetics / Q000378:metabolism; D008297:Male; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism*; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000235:genetics* / Q000378:metabolism
chemical_list: C531888:MIRN125 microRNA, human; C527111:MIRN126 microRNA, human; C542542:MIRN146 microRNA, human; C556347:MIRN335 microRNA, human; D035683:MicroRNAs