Experiment Detail



Experiment IDEXP00063
ReferenceTitle: MicroRNA profiling in human medulloblastoma.
Author: Ferretti E, De Smaele E, Po A, Di Marcotullio L, Tosi E, Espinola MS, Di RoccoC, Riccardi R, Giangaspero F, Farcomeni A, Nofroni I, Laneve P, Gioia U,Caffarelli E, Bozzoni I, Screpanti I, Gulino A.
Journal: Int J Cancer. 2009 Feb 1;124(3):568-77. doi: 10.1002/ijc.23948.
Abstract: Medulloblastoma is an aggressive brain malignancy with high incidence inchildhood. Current treatment approaches have limited efficacy and severe sideeffects. Therefore, new risk-adapted therapeutic strategies based on molecularclassification are required. MicroRNA expression analysis has emerged as apowerful tool to identify candidate molecules playing an important role in alarge number of malignancies. However, no data are yet available on human primarymedulloblastomas. A high throughput microRNA expression profiles was performed inhuman primary medulloblastoma specimens to investigate microRNA involvement inmedulloblastoma carcinogenesis. We identified specific microRNA expressionpatterns which distinguish medulloblastoma differing in histotypes (anaplastic,classic and desmoplastic), in molecular features (ErbB2 or c-Myc overexpressingtumors) and in disease-risk stratification. MicroRNAs expression profile clearly differentiates medulloblastoma from either adult or fetal normal cerebellartissues. Only a few microRNAs displayed upregulated expression, while most ofthem were downregulated in tumor samples, suggesting a tumor growth-inhibitoryfunction. This property has been addressed for miR-9 and miR-125a, whose rescued expression promoted medulloblastoma cell growth arrest and apoptosis whiletargeting the proproliferative truncated TrkC isoform. In conclusion,misregulated microRNA expression profiles characterize human medulloblastomas,and may provide potential targets for novel therapeutic strategies.
PMID: 18973228
Expressiion ProfileDescription: microRNA expression profiling in human medulloblastoma
Organism: Homo sapiens
GEO ID: GSE12303
Platform: GPL7114
Number of samples: 48
Design and SampleCancer Type: brain cancer
Cancer SubType: medulloblastoma
Cell Line: N/D
Experimental Design: cancer vs normal
Case Sample: medulloblastoma
Control Sample: cerebellum
Num of Case: 34
Num of Control: 14
Quantification Software: Limma
Num of miRNAs: 86
IdentificationNum of Up: 6
Num of Down: 10