title: Differentiation of follicular thyroid adenoma from carcinoma by means of gene expression profiling with adapter-tagged competitive polymerase chain reaction.
abstract: OBJECTIVE
  Since preoperative differentiation between follicular thyroid adenoma (FTA) and carcinoma (FTC) remains very difficult, the purpose of this study was to identify the genes differentially expressed in FTA and FTC in order to construct a diagnostic system based on such genes for differentiation of FTA and FTC.
  
  
  METHODS
  Gene expression profiles of 45 FTAs and 22 FTCs were analyzed by means of adapter-tagged competitive polymerase chain reaction (ATAC-PCR) with 2,516 genes (learning set). The genes differentially expressed in FTAs and FTCs were then used to construct a diagnostic system based on the weighted-voting algorithm. In addition, a validation study of this diagnostic system was conducted using 12 FTAs and 6 FTCs (validation set).
  
  
  RESULTS
  The diagnostic system for differentiation of FTA and FTC, constructed with the aid of the learning set samples, was based on 60 genes differentially expressed in FTA and FTC, which included several genes previously identified as overexpressed in FTC (DPP4, KRT19 and IGFBP3) or FTA (trefoil factor 3 and thyroid peroxidase). The leave-one-out cross-validation study showed that the accuracy of this diagnostic system was as high as 90% (sensitivity: 77.3% and specificity: 95.6%), and was confirmed by the validation study (diagnostic accuracy: 83.3%; 95% confidence interval: 62.8-95.4%, sensitivity: 66.7% and specificity: 91.2%).
  
  
  CONCLUSIONS
  This diagnostic system using the ATAC-PCR assay is expected to be clinically useful for preoperative differentiation between FTA and FTC since ATAC-PCR can be used for the small amount of RNA obtained from fine needle aspiration biopsy.
authors.affiliation: Taisho Laboratory of Functional Genomics, Nara Institute of Science and Technology, Japan.
authors.forename: Kazuya
authors.initials: K
authors.lastname: Taniguchi
authors.forename: Toru
authors.initials: T
authors.lastname: Takano
authors.forename: Akira
authors.initials: A
authors.lastname: Miyauchi
authors.forename: Kyoko
authors.initials: K
authors.lastname: Koizumi
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Ito
authors.forename: Yuuki
authors.initials: Y
authors.lastname: Takamura
authors.forename: Makoto
authors.initials: M
authors.lastname: Ishitobi
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Miyoshi
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Taguchi
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Tamaki
authors.forename: Kikuya
authors.initials: K
authors.lastname: Kato
authors.forename: Shinzaburo
authors.initials: S
authors.lastname: Noguchi
mesh_terms: D000236:Adenoma / Q000175:diagnosis* / Q000235:genetics*; D000465:Algorithms; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D020407:Internet; D016133:Polymerase Chain Reaction; D012313:RNA / Q000378:metabolism; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013964:Thyroid Neoplasms / Q000175:diagnosis* / Q000235:genetics*; D013997:Time Factors
chemical_list: D012313:RNA