Experiment ID | EXP00063 |
Reference | Title: 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 Profile | Description: microRNA expression profiling in human medulloblastoma Organism: Homo sapiens GEO ID: GSE12303 Platform: GPL7114 Number of samples: 48 |
Design and Sample | Cancer 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 |
Identification | Num of Up: 6 Num of Down: 10 |