caa a22 4500 445334509 CHVBK 20180317142749.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1245/s10434-011-1766-4 doi (NATIONALLICENCE)springer-10.1245/s10434-011-1766-4 Expression Profiling of Difficult-to-diagnose Thyroid Histologic Subtypes Shows Distinct Expression Profiles and Identify Candidate Diagnostic microRNAs [Elektronische Daten] [Mio Kitano, Reza Rahbari, Erin Patterson, Yin Xiong, Nijaguna Prasad, Yongchun Wang, Martha Zeiger, Electron Kebebew] Background: The incidence of thyroid cancer is increasing worldwide. The findings of up to 30% of thyroid fine-needle aspiration biopsies (FNAB) are inconclusive, primarily as a result of several thyroid histologic subtypes with overlapping cytologic features. MicroRNAs (miRNAs) are small noncoding RNAs and have been implicated in carcinogenesis. We hypothesized that there are miRNAs that are differentially expressed between benign and malignant thyroid tumors that are difficult to distinguish by FNAB. Methods: The expression of 1263 human miRNAs was profiled in 47 tumor samples representing difficult to diagnose histologic subtypes of thyroid neoplasm (21 benign, 26 malignant). Differentially expressed miRNAs were validated by quantitative real-time reverse transcriptase-polymerase chain reaction. The area under the receiver operating characteristic curve (AUC) was used to determine the diagnostic accuracy of differentially expressed miRNAs. Results: Supervised hierarchical cluster analysis demonstrated grouping of 2 histologies (papillary and follicular thyroid carcinoma). A total of 34 miRNAs were differentially expressed in malignant compared to benign thyroid neoplasms (P<0.05). A total of 25 of the 34 nonproprietary miRNAs were selected for validation, and 15 of the 25 miRNAs were differentially expressed between benign and malignant samples with P-value<0.05. Seven miRNAs had AUC values of >0.7. miR-7 and miR-126 had the highest diagnostic accuracy with AUCs values of 0.81 and 0.77, respectively. Conclusion: To our knowledge, this is the first study to evaluate the diagnostic accuracy of miRNAs in thyroid histologies that are difficult to distinguish as benign or malignant by FNAB. miR-126 and miR-7 had high diagnostic accuracy and could be helpful adjuncts to thyroid FNAB. Society of Surgical Oncology, 2011 Kitano Mio Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut Rahbari Reza Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut Patterson Erin Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut Xiong Yin Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut Prasad Nijaguna Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut Wang Yongchun Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut Zeiger Martha Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut Kebebew Electron Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut Annals of Surgical Oncology Springer-Verlag 18/12(2011-11-01), 3443-3452 1068-9265 18:12<3443 2011 18 10434 https://doi.org/10.1245/s10434-011-1766-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1245/s10434-011-1766-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kitano Mio Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut NATIONALLICENCE 700 1- Rahbari Reza Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut NATIONALLICENCE 700 1- Patterson Erin Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut NATIONALLICENCE 700 1- Xiong Yin Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut NATIONALLICENCE 700 1- Prasad Nijaguna Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut NATIONALLICENCE 700 1- Wang Yongchun Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut NATIONALLICENCE 700 1- Zeiger Martha Endocrine Surgery Section Department of Surgery, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA aut NATIONALLICENCE 700 1- Kebebew Electron Endocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA aut NATIONALLICENCE 773 0- Annals of Surgical Oncology Springer-Verlag 18/12(2011-11-01), 3443-3452 1068-9265 18:12<3443 2011 18 10434 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer