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Next-generation sequencing in thyroid cancer

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...

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Detalles Bibliográficos
Autores principales: Cha, Yoon Jin, Koo, Ja Seung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5117557/
https://www.ncbi.nlm.nih.gov/pubmed/27871285
http://dx.doi.org/10.1186/s12967-016-1074-7
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author Cha, Yoon Jin
Koo, Ja Seung
author_facet Cha, Yoon Jin
Koo, Ja Seung
author_sort Cha, Yoon Jin
collection PubMed
description 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.
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spelling pubmed-51175572016-11-28 Next-generation sequencing in thyroid cancer Cha, Yoon Jin Koo, Ja Seung J Transl Med Review 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. BioMed Central 2016-11-21 /pmc/articles/PMC5117557/ /pubmed/27871285 http://dx.doi.org/10.1186/s12967-016-1074-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Cha, Yoon Jin
Koo, Ja Seung
Next-generation sequencing in thyroid cancer
title Next-generation sequencing in thyroid cancer
title_full Next-generation sequencing in thyroid cancer
title_fullStr Next-generation sequencing in thyroid cancer
title_full_unstemmed Next-generation sequencing in thyroid cancer
title_short Next-generation sequencing in thyroid cancer
title_sort next-generation sequencing in thyroid cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5117557/
https://www.ncbi.nlm.nih.gov/pubmed/27871285
http://dx.doi.org/10.1186/s12967-016-1074-7
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