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Ayana Suzuki 2 Articles
Article image
Recent topics on thyroid cytopathology: reporting systems and ancillary studies
Mitsuyoshi Hirokawa, Ayana Suzuki
J Pathol Transl Med. 2025;59(4):214-224.   Published online June 30, 2025
DOI: https://doi.org/10.4132/jptm.2025.04.18
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  • 27 Download
AbstractAbstract PDF
As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued to evolve and reporting systems have been updated accordingly, we need to be up to date with the latest information to achieve accurate diagnoses. However, the diagnostic approaches and therapeutic strategies for thyroid nodules vary across laboratories and institutions. Several differences exist between Western and Eastern practices regarding thyroid fine-needle aspiration. This review describes the reporting systems for thyroid cytopathology and ancillary studies. Updated reporting systems enhance the accuracy, consistency, and clarity of cytology reporting, leading to improved patient outcomes and management strategies. Although a single global reporting system is optimal, reporting systems tailored to each country is acceptable. In such cases, compatibility must be ensured to facilitate data sharing. Ancillary methods include liquid-based cytology, immunocytochemistry, biochemical measurements, flow cytometry, molecular testing, and artificial intelligence, all of which improve diagnostic accuracy. These methods continue to evolve, and cytopathologists should actively adopt the latest methods and information to achieve more accurate diagnoses. We believe this review will be useful to practitioners of routine thyroid cytology.
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Identification of invasive subpopulations using spatial transcriptome analysis in thyroid follicular tumors
Ayana Suzuki, Satoshi Nojima, Shinichiro Tahara, Daisuke Motooka, Masaharu Kohara, Daisuke Okuzaki, Mitsuyoshi Hirokawa, Eiichi Morii
J Pathol Transl Med. 2024;58(1):22-28.   Published online January 10, 2024
DOI: https://doi.org/10.4132/jptm.2023.11.21
  • 2,965 View
  • 246 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Background
Follicular tumors include follicular thyroid adenomas and carcinomas; however, it is difficult to distinguish between the two when the cytology or biopsy material is obtained from a portion of the tumor. The presence or absence of invasion in the resected material is used to differentiate between adenomas and carcinomas, which often results in the unnecessary removal of the adenomas. If nodules that may be follicular thyroid carcinomas are identified preoperatively, active surveillance of other nodules as adenomas is possible, which reduces the risk of surgical complications and the expenses incurred during medical treatment. Therefore, we aimed to identify biomarkers in the invasive subpopulation of follicular tumor cells.
Methods
We performed a spatial transcriptome analysis of a case of follicular thyroid carcinoma and examined the dynamics of CD74 expression in 36 cases.
Results
We identified a subpopulation in a region close to the invasive area, and this subpopulation expressed high levels of CD74. Immunohistochemically, CD74 was highly expressed in the invasive and peripheral areas of the tumor.
Conclusions
Although high CD74 expression has been reported in papillary and anaplastic thyroid carcinomas, it has not been analyzed in follicular thyroid carcinomas. Furthermore, the heterogeneity of CD74 expression in thyroid tumors has not yet been reported. The CD74-positive subpopulation identified in this study may be useful in predicting invasion of follicular thyroid carcinomas.

Citations

Citations to this article as recorded by  
  • Diagnosis of invasive encapsulated follicular variant papillary thyroid carcinoma by protein-based machine learning
    Truong Phan-Xuan Nguyen, Minh-Khang Le, Sittiruk Roytrakul, Shanop Shuangshoti, Nakarin Kitkumthorn, Somboon Keelawat
    Journal of Pathology and Translational Medicine.2025; 59(1): 39.     CrossRef
  • Spatial Transcriptomics in Thyroid Cancer: Applications, Limitations, and Future Perspectives
    Chaerim Song, Hye-Ji Park, Man S. Kim
    Cells.2025; 14(12): 936.     CrossRef

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