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JMD 2006, Vol. 8, No. 4
Copyright © 2006 American Society for Investigative Pathology & Association for Molecular Pathology

Microarray Analysis of Thyroid Nodule Fine-Needle Aspirates Accurately Classifies Benign and Malignant Lesions

Carrie C. Lubitz*, Stacy K. Ugras*, J. Jacob Kazam{dagger}, Biaxin Zhu*, Theresa Scognamiglio{ddagger}, Yao-Tseng Chen{ddagger} and Thomas J. Fahey, III*§

From the Departments of Surgery * and Pathology, {ddagger} Weill Medical College of Cornell University, New York, New York; the Strang Cancer Prevention Center, § New York, New York; and Rutgers University, {dagger} New Brunswick, New Jersey

Current preoperative diagnostic procedures for thyroid nodules rely mainly on the cytological interpretation of fine-needle aspirates (FNAs). DNA microarray analysis has been shown to reliably distinguish benign and malignant thyroid nodules in surgically resected specimens, but its diagnostic potential in thyroid FNA has not been examined. In the present study, the expression profiles of 50 benign thyroid lesions and papillary thyroid carcinoma tissue samples were compared, generating a list of 25 differentially expressed genes from this training set. A test set of 22 FNA specimens was evaluated by unsupervised hierarchical cluster analysis using this gene list, and the results were compared to FNA cytology. FNA specimens were found to fall into three clusters: malignant (n = 10), benign (n = 7), and indeterminate (n = 5). The benign and malignant groups showed complete concordance with the final histological diagnosis except for one histologically benign lesion, which was rediagnosed as follicular variant of papillary thyroid carcinoma on histological review. Paired analysis between FNA and matched tissues samples illustrated adequate sampling with FNA. These results illustrate that microarray analysis of FNA is feasible and has the potential to improve the accuracy of FNA in categorizing benign from malignant lesions beyond routine cytological evaluation.




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