Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide analysis of microRNA expression in surgical specimens of primary glioblastoma multiform

ABSTRACT: MicroRNA has a great potential in predicting survival of cancer patient. We used a genome-wide microRNA expression profiling to identify a miRNA signature for the prediction of clinical outcome of primary GBM patients. Total RNA obtained from 82 surgical specimens of primary glioblastoma multiform and 5 normal brain tissues from areas surrounding arteriovenous malformations (AVM) as control.

ORGANISM(S): Homo sapiens

SUBMITTER: Wei Zhang

PROVIDER: E-GEOD-25631 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

miR-181d: a predictive glioblastoma biomarker that downregulates MGMT expression.

Zhang Wei W Zhang Jing J Hoadley Katherine K Kushwaha Deepa D Ramakrishnan Valya V Li Shouwei S Kang Chunsheng C You Yongping Y Jiang Chuanlu C Song Sonya Wei SW Jiang Tao T Chen Clark C CC

Neuro-oncology 20120508 6

Genome-wide microRNA (miRNA) profiling of 82 glioblastomas demonstrated that miR-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 independent cohorts, an association of miR-181d with survival was evident in patients who underwent TMZ treatment but w ...[more]

PMID: 22570426

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Project description:Invasive lobular carcinoma (ILC) of the breast accounts for 5-15% of breast cancers and is characterized by loss of E-cadherin and believed to arise via a linear histological progression. Genomic studies have identified a clonal relationship between ILC and concurrent lobular carcinoma in situ (LCIS) lesions, suggesting that LCIS may be a precursor lesion. It has been shown that an LCIS diagnosis confers a 15-20% risk of progression to ILC, over a lifetime. Currently no molecular test or markers can identify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-miR-224, -139, -10b, -450, 140 and -365 and the second set upregulated during lobular neoplasia, including hsa-miR-375, -203, -425-5p, -183, -565 and -182. Using quantitative RT-PCR, we validated a trend of increased expression for hsa-mir-375, hsa-mir-182, and hsa-mir-183 correlating with ILC progression. As we detected increased expression of hsa-miR-375 in LCIS lesions synchronous with ILC, we sought to determine whether hsa-mir-375 might induce phenotypes reminiscent of lobular neoplasia by expressing it in the MCF10A 3D culture model of mammary acinar morphogenesis. Increased expression of hsa-miR-375 resulted in loss of cellular organization and acquisition of a hyperplastic phenotype. These data suggest that dysregulated miRNA expression contributes to lobular neoplastic progression. 6 specimens were analyzed in duplicate. One frozen normal lobular epithelium and the matched FFPE (1 month old) normal lobular epithelium. One lobular carcinoma in situ (LCIS) found alone, one LCIS synchronous with an invasive lobular carcinoma (ILC), the synchronous ILC (from a different archived block), and one ILC found alone without presence of any other breast cancer.

Dataset Information

Genome-wide analysis of microRNA expression in surgical specimens of primary glioblastoma multiform

Publications

miR-181d: a predictive glioblastoma biomarker that downregulates MGMT expression.

Similar Datasets

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