title: Next-generation sequencing in thyroid cancer.
abstract: Next-generation sequencing (NGS) in thyroid cancer allows for simultaneous high-throughput sequencing analysis of variable genetic alterations and provides a comprehensive understanding of tumor biology. In thyroid cancer, NGS offers diagnostic improvements for fine needle aspiration (FNA) cytology of thyroid with indeterminate features. It also contributes to patient management, providing risk stratification of patients based on the risk of malignancy. Furthermore, NGS has been adopted in cancer research. It is used in molecular tumor classification, and molecular prediction of recurrence and metastasis in papillary thyroid carcinoma. This review covers previous NGS analyses in variable types of thyroid cancer, where samples including FNA cytology, fresh frozen tissue, and formalin-fixed, paraffin-embedded tissues were used. This review also focuses on the clinical and research implications of using NGS to study and treat thyroid cancer.
authors.affiliation: Department of Pathology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
authors.forename: Yoon Jin
authors.initials: YJ
authors.lastname: Cha
authors.affiliation: Department of Pathology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. kjs1976@yuhs.ac.
authors.forename: Ja Seung
authors.identifier: 0000-0003-4546-4709
authors.initials: JS
authors.lastname: Koo
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D009154:Mutation / Q000235:genetics; D013964:Thyroid Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000473:pathology
keywords: Cancer; Cytology; Next-generation sequencing; Thyroid