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This version published online on February 12, 2008
Journal of Clinical Endocrinology & Metabolism, doi:10.1210/jc.2007-2696
A more recent version of this article appeared on May 1, 2008
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Submitted on December 6, 2007
Accepted on January 31, 2008

MicroRNA Expression Profiling of Thyroid Tumors: Biological Significance and Diagnostic Utility

Marina N. Nikiforova*, George C. Tseng, David Steward, Donna Diorio, and Yuri E. Nikiforov

Department of Pathology, University of Pittsburgh Medical center, Pittsburgh, PA, Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261; Department of Otolaryngology - Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, OH; Department of Pathology, Cincinnati Children's Hospital, Cincinnati, Ohio

* To whom correspondence should be addressed. E-mail: nikiforovamn{at}upmc.edu.

Objective: miRNAs expression is deregulated in many types of human cancers. We sought to investigate the expression patterns of miRNA in all major types of thyroid tumors, including tumors carrying distinct oncogenic mutations, and to explore the utility of miRNA profiling for the preoperative diagnosis of thyroid nodules.

Design: miRNA expression levels were detected in 60 surgically removed thyroid neoplastic and non-neoplastic samples and in 62 fine needle aspiration (FNA) samples by RT-PCR using TaqMan MicroRNA Panel or individual miRNA sequence-specific primers. miRNA expression levels were calculated relative to normal thyroid tissue. All tumors were genotyped for most common mutations.

Results: Various histopathologic types of thyroid tumors, including those deriving from the same cell type, showed significantly different profiles of miRNA expression. Oncocytic tumors, conventional follicular tumors, papillary carcinomas and medullary carcinomas formed distinct clusters on the unsupervised hierarchical clustering analysis. Significant correlation between miRNA expression patterns and somatic mutations was observed in papillary carcinomas. A set of seven miRNAs (miR-187, miR-221, miR-222, miR-146b, miR-155, miR-224, and miR-197) which were most differentially overexpressed in thyroid tumors vs. hyperplastic nodules in the surgical samples was validated in the FNA samples, showing high accuracy of thyroid cancer detection.

Conclusions: In this study, we demonstrate that various histopathologic types of thyroid tumors have distinct miRNA profiles, which further differ within the same tumor type reflecting specific oncogenic mutations. A limited set of miRNAs can be used diagnostically with high accuracy to detect thyroid cancer in the surgical and pre-operative FNA samples.


Key words: thyroid cancer • miRNA profiling • miRNA overexpression • mutation • cancer diagnosis







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