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Molecular classification of thyroid nodules using high-dimensionality genomic data.

Authors
  • Chudova, Darya
  • Wilde, Jonathan I
  • Wang, Eric T
  • Wang, Hui
  • Rabbee, Nusrat
  • Egidio, Camila M
  • Reynolds, Jessica
  • Tom, Ed
  • Pagan, Moraima
  • Rigl, C Ted
  • Friedman, Lyssa
  • Wang, C Charles
  • Lanman, Richard B
  • Zeiger, Martha
  • Kebebew, Electron
  • Rosai, Juan
  • Fellegara, Giovanni
  • LiVolsi, Virginia A
  • Kennedy, Giulia C
Type
Published Article
Journal
The Journal of Clinical Endocrinology & Metabolism
Publisher
The Endocrine Society
Publication Date
Dec 01, 2010
Volume
95
Issue
12
Pages
5296–5304
Identifiers
DOI: 10.1210/jc.2010-1087
PMID: 20826580
Source
Medline
License
Unknown

Abstract

The FNA-trained classifier was able to classify an independent set of FNAs in which substantial RNA degradation had occurred and in the presence of blood. High tolerance to dilution makes the classifier useful in routine clinical settings where sampling error may be a concern. An ongoing multicenter clinical trial will allow us to validate molecular test performance on a larger independent test set of prospectively collected thyroid FNAs.

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