Non-medullary Thyroid Cancer Susceptibility Genes: Evidence and Disease Spectrum
Author(s)
Zhou, Jingan; Singh, Preeti; Yin, Kanhua; Wang, Jin; Bao, Yujia; Wu, Menghua; Pathak, Kush; McKinley, Sophia K.; Braun, Danielle; Lubitz, Carrie C.; Hughes, Kevin S.; ... Show more Show less
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Abstract
Background
The prevalence of non-medullary thyroid cancer (NMTC) is increasing worldwide. Although most NMTCs grow slowly, conventional therapies are less effective in advanced tumors. Approximately 5–15% of NMTCs have a significant germline genetic component. Awareness of the NMTC susceptibility genes may lead to earlier diagnosis and better cancer prevention.
Objective
The aim of this study was to provide the current panorama of susceptibility genes associated with NMTC and the spectrum of diseases associated with these genes.
Methods
Twenty-five candidate genes were identified by searching for relevant studies in PubMed. Each candidate gene was carefully checked using six authoritative genetic resources: ClinGen, National Comprehensive Cancer Network guidelines, Online Mendelian Inheritance in Man, Genetics Home Reference, GeneCards, and Gene-NCBI, and a validated natural language processing (NLP)-based literature review protocol was used to further assess gene–disease associations where there was ambiguity.
Results
Among 25 candidate genes, 10 (APC, DICER1, FOXE1, HABP2, NKX2-1, PRKAR1A, PTEN, SDHB, SDHD, and SRGAP1) were verified among the six genetic resources. Two additional genes, CHEK2 and SEC23B, were verified using the NLP protocol. Seventy-nine diseases were found to be associated with these 12 NMTC susceptibility genes. The following diseases were associated with more than one NMTC susceptibility gene: colorectal cancer, breast cancer, gastric cancer, kidney cancer, gastrointestinal stromal tumor, paraganglioma, pheochromocytoma, and benign skin conditions.
Conclusion
Twelve genes predisposing to NMTC and their associated disease spectra were identified and verified. Clinicians should be aware that patients with certain pathogenic variants may require more aggressive surveillance beyond their thyroid cancer risk.
Date issued
2021-03Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryJournal
Annals of Surgical Oncology
Publisher
Springer International Publishing
Citation
Zhou, Jingan, Singh, Preeti, Yin, Kanhua, Wang, Jin, Bao, Yujia et al. 2021. "Non-medullary Thyroid Cancer Susceptibility Genes: Evidence and Disease Spectrum."
Version: Author's final manuscript
ISSN
1534-4681
1068-9265