Molecular alteration patterns predict tumor behavior in papillary thyroid carcinoma independent of tumor size: insights from an international multicenter retrospective study.

IF 1.9 Q3 ENDOCRINOLOGY & METABOLISM
Grégoire B Morand, Idit Tessler, Simon E Thurnheer, Kayla E Payne, Maxine Noik, Josh Krasner, Tzahi Yamin, Marc P Pusztaszeri, Richard J Payne, Galit Avior
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引用次数: 0

Abstract

Background: Molecular testing is a well-established tool that assists in the management of thyroid nodules and allows classification in distinct molecular alteration patterns: BRAF-like, RAS-like and non-BRAF-non-RAS (NBNR). Yet classical TNM classification and ATA guidelines currently rely on tumor size for risk stratification. In this study, we compared tumor behavior according to molecular alteration patterns versus tumor size.

Methods: Retrospective multicenter multinational study of thyroid nodules that underwent preoperative molecular profiling with ThyGenX/ThyGeNEXT or ThyroSeq V3 between 2015 and 2022. Clinical characteristics, including demographics, cytology results, tumor size, surgical pathology, and molecular alterations, were analyzed.

Results: The study included 718 patients who underwent surgery for papillary thyroid cancer, with a majority of 556 (77.4%) being female. The distribution of molecular alteration patterns was as follows: BRAF-like in 227 (31.6%), RAS-like in 171 (23.8%), NBNR in 59 (8.2%), BRAF/RAS overlap 8 (1.1%) and no detectable mutation in 224 (31.2%) cases. The median tumor size was 15 mm (IQR 10-24). Extrathyroidal extension (ETE) was observed in 6.2% of cases with gross ETE and 5.6% with minimal ETE. Notably, nodules with BRAF-like molecular alterations were more likely to exhibit ETE compared to those with RAS-like or NBNR alterations (P < 0.001). There was no significant correlation between ETE and median tumor size (P > 0.05).

Conclusion: Molecular testing of thyroid nodules provides a more accurate prediction of tumor behavior compared to tumor size alone. These findings suggest that future staging systems could benefit from incorporating molecular alteration patterns into their algorithms.

分子改变模式预测甲状腺乳头状癌的肿瘤行为独立于肿瘤大小:来自国际多中心回顾性研究的见解。
背景:分子检测是一种完善的工具,有助于甲状腺结节的管理,并允许分类不同的分子改变模式:braf样,ras样和非braf -非ras (NBNR)。然而,经典的TNM分类和ATA指南目前依赖于肿瘤大小进行风险分层。在这项研究中,我们根据分子改变模式和肿瘤大小比较了肿瘤的行为。方法:对2015年至2022年间术前使用ThyGenX/ThyGeNEXT或ThyroSeq V3进行分子分析的甲状腺结节进行回顾性多中心跨国研究。临床特征,包括人口统计学、细胞学结果、肿瘤大小、手术病理和分子改变进行了分析。结果:本研究纳入了718例接受甲状腺乳头状癌手术治疗的患者,其中556例(77.4%)为女性。分子改变模式分布如下:BRAF样227例(31.6%),RAS样171例(23.8%),NBNR 59例(8.2%),BRAF/RAS重叠8例(1.1%),未检测到突变224例(31.2%)。中位肿瘤大小为15 mm (IQR 10-24)。6.2%的甲状腺外展,5.6%的轻度甲状腺外展。值得注意的是,与ras样或NBNR改变的结节相比,braf样分子改变的结节更容易出现ETE (P < 0.05)。结论:与单纯的肿瘤大小相比,甲状腺结节分子检测能更准确地预测肿瘤行为。这些发现表明,未来的分期系统可以从将分子改变模式纳入其算法中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Thyroid Research
Thyroid Research Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
3.10
自引率
4.50%
发文量
21
审稿时长
8 weeks
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