Molecular classification of thyroid lesions by combined testing for miRNA gene expression and somatic gene alterations. (8th February 2016)

• Record Type: Journal Article
• Authors: Wylie, Dennis; Beaudenon‐Huibregtse, Sylvie; Haynes, Brian C.; Giordano, Thomas J.; Labourier, Emmanuel
• Is Part Of: Journal of pathology. Volume 2:Number 2(2016)
• Page Start: 93
• Page End: 103
• Publication Date: 2016-02-08
• Subjects: thyroid cancer -- thyroid nodule -- diagnosis -- miRNA -- gene mutation -- gene rearrangement; Pathology -- Periodicals; Diagnosis, Laboratory -- Periodicals; 616.07
• DOI: 10.1002/cjp2.38
• Languages: English
• ISSNs: 2056-4538

Abstract

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 < 0.001 for McNemar's tests). In a subset of resected tissues ( n = 54) and in an independent set of thyroid nodules with indeterminate cytology ( n = 42), the optimized ThyraMIR Thyroid miRNA Classifier increased diagnostic sensitivity by 30–39% and correctly classified 100% of benign nodules negative by the 17‐mutation panel. In contrast, testing with broad targeted next‐generation sequencing panels decreased diagnostic specificity by detecting additional mutations of unknown clinical significance in 19–39% of benign lesions. Our results demonstrate that, independent of mutational status, miRNA expression profiles are strongly associated with altered molecular pathways underlying thyroid tumorigenesis. Combined testing for miRNA gene expression and well‐established somatic gene alterations is a novel diagnostic strategy that can improve the preoperative diagnosis and surgical management of patients with indeterminate thyroid nodules.