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Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication.
Londero, Stefano Christian; Jespersen, Marie Louise; Krogdahl, Annelise; Bastholt, Lars; Overgaard, Jens; Schytte, Sten; Godballe, Christian; Alsner, Jan.
Affiliation
  • Londero SC; Department of ENT Head and Neck Surgery, Odense University Hospital, Odense, Denmark Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark stefano.londero@rsyd.dk.
  • Jespersen ML; Department of Histopathology, Aarhus University Hospital, Odense, Denmark.
  • Krogdahl A; Department of Pathology, Odense University Hospital, Odense, Denmark.
  • Bastholt L; Department of Oncology, Odense University Hospital, Odense, Denmark.
  • Overgaard J; Department of Experimental Clinical Oncology, Aarhus University Hospital, Odense, Denmark.
  • Schytte S; Department of ENT Head and Neck Surgery, Aarhus University Hospital, Odense, Denmark.
  • Godballe C; Department of ENT Head and Neck Surgery, Odense University Hospital, Odense, Denmark.
  • Alsner J; Department of Experimental Clinical Oncology, Aarhus University Hospital, Odense, Denmark.
Anticancer Res ; 36(2): 749-56, 2016 Feb.
Article in En | MEDLINE | ID: mdl-26851034
ABSTRACT

BACKGROUND:

No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential. MATERIALS AND

METHODS:

Genome-wide expression analyses were used. Development cohort freshly frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients.

RESULTS:

A 17-gene classifier was identified based on the expression values in patients with and without metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5% and specificity 61.6%. Log-rank testing failed to identify any significance (p=0.32) regarding the classifier's usefulness as a prognostic marker for recurrence.

CONCLUSION:

A 17-gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, no prognostic significance of this classifier was shown.
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Collection: 01-internacional Database: MEDLINE Main subject: Thyroid Neoplasms / Carcinoma / Biomarkers, Tumor / Gene Expression Profiling Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Anticancer Res Year: 2016 Document type: Article Affiliation country: Denmark
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Collection: 01-internacional Database: MEDLINE Main subject: Thyroid Neoplasms / Carcinoma / Biomarkers, Tumor / Gene Expression Profiling Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Anticancer Res Year: 2016 Document type: Article Affiliation country: Denmark