Title |
Next-generation sequencing in thyroid cancer
|
---|---|
Published in |
Journal of Translational Medicine, November 2016
|
DOI | 10.1186/s12967-016-1074-7 |
Pubmed ID | |
Authors |
Yoon Jin Cha, Ja Seung Koo |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Saudi Arabia | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 15% |
Student > Ph. D. Student | 9 | 10% |
Student > Bachelor | 9 | 10% |
Student > Master | 7 | 8% |
Other | 5 | 6% |
Other | 17 | 19% |
Unknown | 29 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 26% |
Biochemistry, Genetics and Molecular Biology | 17 | 19% |
Agricultural and Biological Sciences | 6 | 7% |
Nursing and Health Professions | 3 | 3% |
Immunology and Microbiology | 2 | 2% |
Other | 6 | 7% |
Unknown | 32 | 36% |