Mutations of genes including DNMT3A detected by next-generation sequencing in thyroid cancer

Ling Chuan Guo, Wei Dong Zhu, Xiang Yuan Ma, Hao Ni, En Jian Zhong, Yang W. Shao, Jie Yu, Dong Mei Gu, Shun Dong Ji, Hao Dong Xu, Cheng Ji, Jin Ming Yang, Yi Zhang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


More than 90% of thyroid cancer belongs to the papillary and follicular thyroid carcinomas based on pathological subtypes. Papillary and follicular thyroid carcinoma are generally associated with a good prognosis. In contrast, other pathological subtypes such as poorly-differentiated and anaplastic thyroid carcinoma (PDTC and ATC) have a poor clinical outcome with a short life expectancy. To identify the genetic variations and biomarkers that may potentially distinguish the aggressive form of thyroid cancer, we performed a retrospective analysis of the formalin-fixed paraffin-embedded tumor samples from 50 patients who mainly displayed aggressive thyroid cancer using next-generation sequencing of 416 solid tumor-related genes. We adopted extensive bioinformatic analysis to vigorously remove germline single-nucleotide polymorphism and systematic sequencing errors, and report here that mutation in DNMT3A gene was significantly enriched in patients with PDTC or ATC.

Original languageEnglish (US)
Pages (from-to)240-246
Number of pages7
JournalCancer Biology and Therapy
Issue number3
StatePublished - Mar 4 2019

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Oncology
  • Pharmacology
  • Cancer Research


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