title: MicroRNA biomarker identification for pediatric acute myeloid leukemia based on a novel bioinformatics model.
abstract: Acute myeloid leukemia (AML) in children is a complex and heterogeneous disease. The identification of reliable and stable molecular biomarkers for diagnosis, especially early diagnosis, remains a significant therapeutic challenge. Aberrant microRNA expression could be used for cancer diagnosis and treatment selection. Here, we describe a novel bioinformatics model for the prediction of microRNA biomarkers for the diagnosis of paediatric AML based on computational functional analysis of the microRNA regulatory network substructure. microRNA-196b, microRNA-155 and microRNA-25 were identified as putative diagnostic biomarkers for pediatric AML. Further systematic analysis confirmed the association of the predicted microRNAs with the leukemogenesis of AML. In vitro q-PCR experiments showed that microRNA-155 is significantly overexpressed in children with AML and microRNA-196b is significantly overexpressed in subgroups M4-M5 of the French-American-British classification system. These results suggest that microRNA-155 is a potential diagnostic biomarker for all subgroups of paediatric AML, whereas microRNA-196b is specific for subgroups M4-M5.
authors: Center for Systems Biology, Soochow University, Suzhou, 215006, China.|Taicang Center for Translational Bioinformatics, Taicang 215400, China.|The 100th Hospital of PLA, Suzhou 215007, China.
authors: Wenying
authors: W
authors: Yan
authors: Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou 215003, China.|Department of Pediatrics, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu 222002, China.
authors: Lihua
authors: L
authors: Xu
authors: Center for Systems Biology, Soochow University, Suzhou, 215006, China.
authors: Zhandong
authors: Z
authors: Sun
authors: Center for Systems Biology, Soochow University, Suzhou, 215006, China.
authors: Yuxin
authors: Y
authors: Lin
authors: Center for Systems Biology, Soochow University, Suzhou, 215006, China.
authors: Wenyu
authors: W
authors: Zhang
authors: School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China.
authors: Jiajia
authors: J
authors: Chen
authors: Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou 215003, China.
authors: Shaoyan
authors: S
authors: Hu
authors: Center for Systems Biology, Soochow University, Suzhou, 215006, China.
authors: Bairong
authors: B
authors: Shen
mesh_terms: D000293:Adolescent; D017668:Age of Onset; D014408:Biomarkers, Tumor / Q000235:genetics*; D002648:Child; D002675:Child, Preschool; D019295:Computational Biology; D030541:Databases, Genetic; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D015470:Leukemia, Myeloid, Acute / Q000175:diagnosis / Q000453:epidemiology / Q000235:genetics*; D035683:MicroRNAs / Q000235:genetics*; D010641:Phenotype; D015203:Reproducibility of Results; D014158:Transcription, Genetic
chemical_list: D014408:Biomarkers, Tumor; C524942:MIRN155 microRNA, human; C542543:MIRN196 microRNA, human; D035683:MicroRNAs
keywords: bioinformatics model; microRNA biomarkers; microRNA regulatory network; pediatric acute myeloid leukemia; transcription factor