miR-21-mediated tumor growth

MicroRNA expression profiles for the NCI-60 cancer cell panel

Advances in the understanding of cancer cell biology and response to drug treatment have benefited from new molecular technologies and methods for integrating information from multiple sources. The NCI-60, a panel of 60 diverse human cancer cell lines, has been used by the National Cancer Institute to screen >100,000 chemical compounds and natural product extracts for anticancer activity. The NCI-60 has also been profiled for mRNA and protein expression, mutational status, chromosomal aberrations, and DNA copy number, generating an unparalleled public resource for integrated chemogenomic studies. Recently, microRNAs have been shown to target particular sets of mRNAs, thereby preventing translation or accelerating mRNA turnover. To complement the existing NCI-60 data sets, we have measured expression levels of microRNAs in the NCI-60 and incorporated the resulting data into the CellMiner program package for integrative analysis. Cell line groupings based on microRNA expression were generally consistent with tissue type and with cell line clustering based on mRNA expression. However, mRNA expression seemed to be somewhat more informative for discriminating among tissue types than was microRNA expression. In addition, we found that there does not seem to be a significant correlation between microRNA expression patterns and those of known target transcripts. Comparison of microRNA expression patterns and compound potency patterns showed significant correlations, suggesting that microRNAs may play a role in chemoresistance. Combined with gene expression and other biological data using multivariate analysis, microRNA expression profiles may provide a critical link for understanding mechanisms involved in chemosensitivity and chemoresistance.

MicroRNAs: recently discovered key regulators of proliferation and apoptosis in animal cells : Identification of miRNAs regulating growth and survival

The relatively recent discovery of miRNAs has added a completely new dimension to the study of the regulation of gene expression. The mechanism of action of miRNAs, the conservation between diverse species and the fact that each miRNA can regulate a number of targets and phenotypes clearly indicates the importance of these molecules. In this review the current state of knowledge relating to miRNA expression and gene regulation is presented, outlining the key morphological and biochemical features controlled by miRNAs with particular emphasis on the key phenotypes that impact on cell growth in bioreactors, namely proliferation and apoptosis.

Differential expression of miRNAs in papillary thyroid carcinoma compared to multinodular goiter using formalin fixed paraffin embedded tissues

microRNAs (miRNAs) are approximately 22 nt RNAs that negatively regulate target gene expression. Their dysregulation has been implicated in the pathogenesis of a number of human cancers, including papillary thyroid carcinoma (PTC). Whereas previous studies using microarray technologies have largely relied on the ability to procure fresh tissue at the time of surgery to characterize miRNA signatures in PTC, we exploited the ability to procure sufficient miRNA from formalin-fixed paraffin-embedded (FFPE) tissue to describe a series of miRNAs whose expression is dysregulated in PTC compared to benign proliferative multinodular goiter (MNG). We identified 13 miRNAs upregulated and 26 miRNAs downregulated in PTC versus MNG. These include miRNA-21, miRNA-31, miRNA-221, and miRNA-222. Their dysregulation was further validated by real time RT-PCR analysis in an independent set of FFPE tissues. Many of these have previously been described in fresh tissue studies as altered in PTC, confirming the utility of this approach. These results further highlight the applicability of miRNA expression patterns as potential markers of human cancer, and our results suggest that FFPE tissues are suitable resources for such miRNA expression analyses. The ability to utilize FFPE tissue in the molecular characterization of human malignancy will unlock a rich resource for future cancer studies.