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Using Ion Torrent sequencing to study genetic mutation profiles of fatal thyroid cancers

Authors :
Jin-Ying Lu
Wern-Cherng Cheng
Kuen-Yuan Chen
Chia-Chi Lin
Ching-Chung Chang
Kuan-Ting Kuo
Pei-Lung Chen
Source :
Journal of the Formosan Medical Association, Vol 117, Iss 6, Pp 488-496 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Background/Purpose: Surgery followed by radioiodine is a mainstay of treatment for thyroid cancers of follicular origins. However, about 5% of the thyroid cancers are non-operable and/or radioiodine-refractory diseases, which are either locally advanced or metastatic and result in a survival of less than 5 years. How to treat this population of thyroid cancer patients becomes a critical issue requiring further understanding of the tumor's genetic information. Methods: We used formalin-fixed paraffin-embedded specimens of 22 fatal thyroid cancers and their corresponding non-tumor parts, if available, to yield genomic DNA, and applied the Ion Torrentâ„¢ Personal Genome Machine (IT-PGM) System (Life Technologies), a next generation sequencing technology, to interrogate 740 mutational hotspots in 46 oncogenes. We further validated the results by conventional direct sequencing. Results: We confirmed 21 mutations of 11 oncogenes in the 22 fatal thyroid cancer samples. Among them, the MET p.N375S and MLH1 p.V384D mutations, each was detected in two cases, and has rarely been found to be involved in thyroid cancer pathogenesis before. We also identified homozygous PDGFRA p.V824V mutation in eight out of the 22 cases, while the non-tumor counterparts carried heterozygous PDGFRA p.V824V mutation. We noted that the Ion Torrent technique unfortunately showed high false positive rates for detecting EGFR mutations in thyroid cancers. Conclusion: The extensive genetic studies provide new insights to future targeted therapy in these patients. IT-PGM proved to be valuable for comprehensively searching genetic mutations in potentially fatal thyroid cancers. Keywords: Fatal thyroid cancer, Genetics, MET, MLH1, PDGFRA

Subjects

Subjects :
Medicine (General)
R5-920

Details

Language :
English
ISSN :
09296646
Volume :
117
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Journal of the Formosan Medical Association
Publication Type :
Academic Journal
Accession number :
edsdoj.f7ed0db22c304c8094acd5c470394b5a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jfma.2017.05.007