Pathology and Oncology Research (Apr 2023)

RET rearrangements are relevant to histopathologic subtypes and clinicopathological features in Thai papillary thyroid carcinoma patients

  • Thitima Khonrak,
  • Sasithorn Watcharadetwittaya,
  • Sasithorn Watcharadetwittaya,
  • Yaovalux Chamgramol,
  • Piyapharom Intarawichian,
  • Piyapharom Intarawichian,
  • Raksawan Deenonpoe,
  • Raksawan Deenonpoe

DOI
https://doi.org/10.3389/pore.2023.1611138
Journal volume & issue
Vol. 29

Abstract

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Background: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. The RET gene rearrangements CCDC6::RET and NCOA4::RET are the most common RET gene rearrangements in PTC patients. Different RET::PTC rearrangements are associated with different PTC phenotypes.Methods: Eighty-three formalin-fixed paraffin-embedded (FFPE) PTC samples were examined. The prevalence and expression levels of CCDC6::RET and NCOA4::RET were determined using semi-quantitative polymerase chain reaction (qRT-PCR). The association of these rearrangements with clinicopathological data was investigated.Results: The presence of CCDC6::RET rearrangement was significantly associated with the classic subtype and absence of angio/lymphatic invasion (p < 0.05). While NCOA4::RET was associated with the tall-cell subtype, and presence of angio/lymphatic invasion and lymph node metastasis (p < 0.05). Multivariate analysis demonstrated that an absence of extrathyroidal extension and extranodal extension were independent predictive factors for CCDC6::RET, whereas the tall-cell subtype, large tumor size, angioinvasion, lymphatic invasion and perineural invasion were independent predictive factors for NCOA4::RET (p < 0.05). However, the mRNA expression level of CCDC6::RET and of NCOA4::RET were not significantly associated with clinicopathological data.Conclusion:CCDC6::RET was correlated with an innocent PTC subtype and characteristics, but NCOA4::RET correlated with an aggressive phenotype of PTC. Therefore, these RET rearrangements strongly associated with clinicopathological phenotypes and can be used as predictive markers in PTC patients.

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