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TERT promoter mutations and Ki-67 labeling index as a prognostic marker of papillary thyroid carcinomas: combination of two independent factors


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タイトル: TERT promoter mutations and Ki-67 labeling index as a prognostic marker of papillary thyroid carcinomas: combination of two independent factors
著者: Matsuse, Michiko / Yabuta, Tomonori / Saenko, Vladimir / Hirokawa, Mitsuyoshi / Nishihara, Eijun / Suzuki, Keiji / Yamashita, Shunichi / Miyauchi, Akira / Mitsutake, Norisato
発行日: 2017年 2月 2日
出版者: Macmillan Publishers Limited,
引用: Scientific Reports, 7, 41752; 2017
抄録: Although most papillary thyroid carcinomas (PTCs) have a good prognosis, a small but certain fraction shows aggressive behavior. Therefore, a novel and well-performing molecular marker is needed. In the present study, we assessed the impact of the combination of the TERT promoter/BRAF mutations and Ki-67 labeling index (LI) as a prognostic marker in PTC patients. Of 400 PTC samples, 354 were successfully genotyped for both TERT promoter/BRAF and analyzed for Ki-67 LI. Based on the combination of the mutational status and Ki-67 LI, the cases were categorized into three groups: high-, middle-, and low-risk. The recurrence rates of low-, middle-, and high-risk group were 1.9% (6 of 323), 18.2% (4 of 22), and 44.4% (4 of 9), respectively. The Kaplan-Meier curve and log-rank analyses demonstrated that there were statistical differences between any two groups. The hazard ratios for recurrence remained significant after adjustment for age, sex, tumor size, and extrathyroidal extension (low vs. middle: 8.80, 95% CI: 2.35-32.92, p = 0.001; middle vs. high: 6.255, 95% CI: 1.13-34.51, p = 0.035). In conclusion, the combination of the TERT promoter/BRAF V600E mutations and Ki-67 LI performed excellent in predicting PTC recurrence and may be clinically useful.
URI: http://hdl.handle.net/10069/37440
DOI: 10.1038/srep41752
権利: © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
資料タイプ: Journal Article
原稿種類: publisher
出現コレクション:115 学術雑誌論文

引用URI : http://hdl.handle.net/10069/37440

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