Next-generation sequencing in thyroid cancer

Yoon Jin Cha, JaSeung Koo

Research output: Contribution to journalReview article

18 Citations (Scopus)

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.

Original languageEnglish
Article number322
JournalJournal of Translational Medicine
Volume14
Issue number1
DOIs
Publication statusPublished - 2016 Nov 21

Fingerprint

Cytology
Thyroid Neoplasms
Needles
Tumors
Tissue
Fine Needle Biopsy
Risk management
Paraffin
Formaldehyde
Cell Biology
Neoplasms
Throughput
Risk Management
Research
Thyroid Gland
Neoplasm Metastasis
Recurrence

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

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Next-generation sequencing in thyroid cancer. / Cha, Yoon Jin; Koo, JaSeung.

In: Journal of Translational Medicine, Vol. 14, No. 1, 322, 21.11.2016.

Research output: Contribution to journalReview article

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