Gene expression classifier in papillary thyroid carcinoma: validation and application of a classifier for prognostication

ABSTRACT: Background: With the incidence of papillary thyroid carcinoma rising worldwide, the decision about lobectomy versus total thyroidectomy will become relevant for an increasing number of patients. There exists no reliable biomarker for metastatic potential or tendency of recurrence that could assist in the risk stratification of patients. Objective: To develop a gene expression classifier for metastatic potential by measuring RNA expression in the primary tumor at the time of cancer surgery. Further, to investigate the ability of the gene expression classifier to identify metastatic and recurrent cases. Method: Genome-wide expression analyses. The development cohort consisted of freshly frozen tissues from 38 patients collected between the years 1986 and 2009. Validation was performed on a

ORGANISM(S): Homo sapiens

SUBMITTER: Jan Alsner 

PROVIDER: E-GEOD-65074 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress