| Experiment ID | EXP00174 |
| Reference | Title: miR-181d: a predictive glioblastoma biomarker that downregulates MGMT expression. Author: Zhang W, Zhang J, Hoadley K, Kushwaha D, Ramakrishnan V, Li S, Kang C, You Y, Jiang C, Song SW, Jiang T, Chen CC. Journal: Neuro Oncol. 2012 Jun;14(6):712-9. doi: 10.1093/neuonc/nos089. Epub 2012 May 8. Abstract: Genome-wide microRNA (miRNA) profiling of 82 glioblastomas demonstrated thatmiR-181d was inversely associated with patient overall survival after correcting for age, Karnofsky performance status, extent of resection, and temozolomide(TMZ) treatment. This association was validated using the Cancer Genome Atlas(TCGA) dataset (n= 424) and an independent cohort (n= 35). In these independentcohorts, an association of miR-181d with survival was evident in patients whounderwent TMZ treatment but was not observed in patients without TMZ therapy.Bioinformatic analysis of potential genes regulated by miR-181d revealedmethyl-guanine-methyl-transferase (MGMT) as a downstream target. Indeed,transfection of miR-181d downregulated MGMT mRNA and protein expression.Furthermore, luciferase reporter assays and coprecipitation studies showed adirect interaction between miR-181d and MGMT 3'UTR. The suppressive effect ofmiR-181d on MGMT expression was rescued by the introduction of an MGMT cDNA.Finally, MGMT expression inversely correlated with miR-181d expression inindependent glioblastoma cohorts. Together, these results suggest that miR-181dis a predictive biomarker for TMZ response and that its role is mediated, inpart, by posttranscriptional regulation of MGMT. PMID: 22570426 |
| Expressiion Profile | Description: Genome-wide analysis of microRNA expression in surgical specimens of primary glioblastoma multiform Organism: Homo sapiens GEO ID: GSE25631 Platform: GPL8179 Number of samples: 87 |
| Design and Sample | Cancer Type: brain cancer Cancer SubType: glioblastoma Cell Line: N/D Experimental Design: cancer vs normal Case Sample: glioblastoma Control Sample: normal brain tissue Num of Case: 82 Num of Control: 5 Quantification Software: Limma Num of miRNAs: 857 |
| Identification | Num of Up: 32 Num of Down: 33 |