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Molecular classification of thyroid lesions by combined testing for miRNA gene expression and somatic gene alterations.


ABSTRACT: Multiple molecular markers contribute to the pathogenesis of thyroid cancer and can provide valuable information to improve disease diagnosis and patient management. We performed a comprehensive evaluation of miRNA gene expression in diverse thyroid lesions (n?=?534) and developed predictive models for the classification of thyroid nodules, alone or in combination with genotyping. Expression profiling by reverse transcription-quantitative polymerase chain reaction in surgical specimens (n?=?257) identified specific miRNAs differentially expressed in 17 histopathological categories. Eight supervised machine learning algorithms were trained to discriminate benign from malignant lesions and evaluated for accuracy and robustness. The selected models showed invariant area under the receiver operating characteristic curve (AUC) in cross-validation (0.89), optimal AUC (0.94) in an independent set of preoperative thyroid nodule aspirates (n?=?235), and classified 92% of benign lesions as low risk/negative and 92% of malignant lesions as high risk/positive. Surgical and preoperative specimens were further tested for the presence of 17 validated oncogenic gene alterations in the BRAF, RAS, RET or PAX8 genes. The miRNA-based classifiers complemented and significantly improved the diagnostic performance of the 17-mutation panel (p?

SUBMITTER: Wylie D 

PROVIDER: S-EPMC4907059 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Molecular classification of thyroid lesions by combined testing for miRNA gene expression and somatic gene alterations.

Wylie Dennis D   Beaudenon-Huibregtse Sylvie S   Haynes Brian C BC   Giordano Thomas J TJ   Labourier Emmanuel E  

The journal of pathology. Clinical research 20160208 2


Multiple molecular markers contribute to the pathogenesis of thyroid cancer and can provide valuable information to improve disease diagnosis and patient management. We performed a comprehensive evaluation of miRNA gene expression in diverse thyroid lesions (n = 534) and developed predictive models for the classification of thyroid nodules, alone or in combination with genotyping. Expression profiling by reverse transcription-quantitative polymerase chain reaction in surgical specimens (n = 257)  ...[more]

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