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Human sarcomas are a heterogeneous group of over 50 different malignant tumors for which very few diagnostic markers currently exist. MicroRNA (miRNA) transcript levels have been proposed for use in the diagnosis, classification and prognosis of tumors. Over 700 miRNAs are identified in humans and miRNA are considered attractive candidates for developing novel biomarkers in sarcomas. However, miRNA expression patterns found in sarcomas are poorly understood and no central resource exists to contain this information. To systematically address the gap in both biological knowledge and bioinformatics infrastructure, the authors generated miRNA expression profiles for over 300 tumor tissue samples representing 22 different sarcoma types and developed a web-accessible database to enable facile access to the data.
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