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Low Ki-67 labeling index is a clinically useful predictive factor for recurrence-free survival in patients with papillary thyroid carcinoma
Takashi Masui, Katsunari Yane, Ichiro Ota, Kennichi Kakudo, Tomoko Wakasa, Satoru Koike, Hirotaka Kinugawa, Ryuji Yasumatsu, Tadashi Kitahara
J Pathol Transl Med. 2025;59(2):115-124.   Published online February 18, 2025
DOI: https://doi.org/10.4132/jptm.2024.11.08
  • 5,238 View
  • 243 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Background
We report a new risk stratification of invasive stage papillary thyroid carcinomas (PTCs) by combining invasive status, using extrathyroid invasion (Ex) status, and tumor growth speed using the Ki-67 labeling index (LI). Methods: We examined tumor recurrence in 167 patients with PTC who were surgically treated at the Kindai University Nara Hospital between 2010 and 2022. The patients were classified according to the degree of invasion [negative (Ex0) or positive (Ex1, Ex2, and Ex3)] and tumor growth speed expressed with Ki-67 LI, as low (<5%) or high (>5%). This study confirmed previous findings that the disease-free survival (DFS) rate in PTCs significantly differed between patients with a high and low Ki-67 index. Results: When combining Ex status (negative or positive) and Ki-67 proliferation status (low or high), the DFS rate of invasion in the negative, low Ki-67 LI group was only 1.1%, while that of invasion in the positive, high Ki-67 LI was 44.1%. This study reports for the first time that recurrence risks can be stratified accurately when combining carcinoma’s essential two features of extrathyroid invasion status and tumor growth speed. Conclusions: We believe the evidence for low tumor recurrence risk may contribute to use of more conservative treatment options for invasive-stage PTCs and help alleviate patient anxiety about tumor recurrence and death.

Citations

Citations to this article as recorded by  
  • Research Progress on the Correlation between Three Biomarkers, Ki-67, CAIX and VEGF and Clear Cell Renal Cell Carcinoma
    锦容 马
    Advances in Clinical Medicine.2025; 15(09): 326.     CrossRef
  • Immunophenotypic Panel for Comprehensive Characterization of Aggressive Thyroid Carcinomas
    Mihail Ceausu, Mihai Alin Publik, Dana Terzea, Carmen Adina Cristea, Dumitru Ioachim, Dana Manda, Sorina Schipor
    Cells.2025; 14(19): 1554.     CrossRef
  • High Ki-67 labeling index correlates with aggressive clinicopathological features in papillary thyroid carcinoma: a retrospective study
    Defi Nurlia Erdian, Maria Francisca Ham, Dina Khoirunnisa, Agnes Stephanie Harahap
    Thyroid Research.2025;[Epub]     CrossRef
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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
  • 4,805 View
  • 269 Download
  • 4 Web of Science
  • 5 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  
  • Carbonic Anhydrase 12 as a Novel Prognostic Biomarker and Therapeutic Target for High‐Risk Follicular Thyroid Carcinoma
    Masashi Tanida, Tsuyoshi Takashima, Shinichiro Tahara, Masaharu Kohara, Haruka Kanai, Masami Suzuki, Motoyuki Suzuki, Mitsuyoshi Hirokawa, Ayana Suzuki, Shinya Sato, Daisuke Okuzaki, Satoshi Nojima, Takahiro Matsui, Hidenori Inohara, Eiichi Morii
    Cancer Science.2026; 117(1): 257.     CrossRef
  • An emerging role of CD74 in thyroid follicular cells in Hashimoto´s thyroiditis
    Pablo Sacristán-Gómez, Ana Serrano-Somavilla, Nuria Sánchez de la Blanca, Andrea Álvarez-Rodríguez, Eduardo Martínez-Parra, Miguel Sampedro-Nuñez, Fernando Sebastián-Valles, Mónica Marazuela, Rebeca Martínez-Hernández
    Biomedicine & Pharmacotherapy.2026; 194: 118945.     CrossRef
  • 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
  • A New Tool to Decrease Interobserver Variability in Biomarker Annotation in Solid Tumor Tissue for Spatial Transcriptomic Analysis
    Sravya Palavalasa, Emily Baker, Jack Freeman, Aditri Gokul, Weihua Zhou, Dafydd Thomas, Wajd N. Al-Holou, Meredith A. Morgan, Theodore S. Lawrence, Daniel R. Wahl
    Current Issues in Molecular Biology.2025; 47(7): 531.     CrossRef

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