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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

    Abstract

    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
    Volume20
    Issue number3
    DOIs
    StatePublished - Mar 4 2019

    All Science Journal Classification (ASJC) codes

    • Molecular Medicine
    • Oncology
    • Pharmacology
    • Cancer Research

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