cancers Review Multi-omics Signatures and Translational Potential to Improve Thyroid Cancer Patient Outcome Myriem Boufraqech and Naris Nilubol * Surgical Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD 20817, USA;
[email protected] * Correspondence:
[email protected] Received: 13 November 2019; Accepted: 3 December 2019; Published: 10 December 2019 Abstract: Recent advances in high-throughput molecular and multi-omics technologies have improved our understanding of the molecular changes associated with thyroid cancer initiation and progression. The translation into clinical use based on molecular profiling of thyroid tumors has allowed a significant improvement in patient risk stratification and in the identification of targeted therapies, and thereby better personalized disease management and outcome. This review compiles the following: (1) the major molecular alterations of the genome, epigenome, transcriptome, proteome, and metabolome found in all subtypes of thyroid cancer, thus demonstrating the complexity of these tumors and (2) the great translational potential of multi-omics studies to improve patient outcome. Keywords: genomic; proteomic; methylation; microRNA; thyroid cancer 1. Introduction The incidence of thyroid cancer has been increasing by almost 300% in the past four decades with an estimated 54,000 patients diagnosed each year in the United States [1]. Thyroid cancer is the fifth most common cancer in women. Earlier data has suggested that the rising incidence of thyroid cancer has been due to the increased detection of small, commonly incidental, and subclinical papillary thyroid cancer (PTC) with indolent behavior [1–4], however, the more recent analysis of the Surveillance, Epidemiology, and End Results (SEER) cancer registry data has shown an increase in advanced-stage PTC and PTC larger than 5 cm which were believed to be clinically detectable or were symptomatic [5].