Abstract
MicroRNAs are small noncoding RNAs that function by regulating target gene expression posttranscriptionally. They play a critical role in developmental and physiologic processes and are implicated in the pathogenesis of several human diseases including cancer. We examined the expression profiles of 241 human microRNAs in normal tissues and the NCI-60 panel of human tumor-derived cell lines. To quantify microRNA expression, we employed a highly sensitive technique that uses stem-loop primers for reverse transcription followed by real-time PCR. Most microRNAs were expressed at lower levels in tumor-derived cell lines compared with the corresponding normal tissue. Agglomerative hierarchical clustering analysis of microRNA expression revealed four groups among the NCI-60 cell lines consisting of hematologic, colon, central nervous system, and melanoma tumor-derived cell lines clustered in a manner that reflected their tissue of origin. We identified specific subsets of microRNAs that provide candidate molecular signatures characteristic of the tumor-derived cell lines belonging to these four clusters. We also identified specific microRNA expression patterns that correlated with the proliferation indices of the NCI-60 cell lines, and we developed evidence for the identification of specific microRNAs as candidate oncogenes and tumor suppressor genes in different tumor types. Our results provide evidence that microRNA expression patterns may mark specific biological characteristics of tumors and/or mediate biological activities important for the pathobiology of malignant tumors. These findings call attention to the potential of microRNAs to provide etiologic insights as well as to serve as both diagnostic markers and therapeutic targets for many different tumor types.
Highlights
Molecular biomarkers that help classify the numerous types of human cancers and that correlate with specific biological activities of tumor cells are essential for elucidating the molecular basis of oncogenesis and for effectively treating cancer
We employed a recently described [28], highly sensitive TaqMan MicroRNA assay for quantitative measurement of 241 mature human microRNAs in 13 normal tissues and in 59 cell lines of the NCI-60 panel of human tumor cell
4 http://www.r-project.org levels, we explored whether the relationships between cell lines that we detected based on microRNA expression patterns (Supplementary Fig. S1) were similar to the relationships between these same cell lines based on mRNA expression patterns
Summary
Molecular biomarkers that help classify the numerous types of human cancers and that correlate with specific biological activities of tumor cells are essential for elucidating the molecular basis of oncogenesis and for effectively treating cancer. More than 300 microRNA genes and an even greater number of predicted microRNA targets have been identified in the human genome. The breadth of genetic regulatory effects potentially mediated by microRNAs and their central role in diverse cellular and develop-. Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).
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