Two-year dynamic risk stratification and adjuvant radioiodine efficacy in initial non-distant metastatic papillary thyroid carcinoma harboring TERT promoter mutations.

IF 3.4 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2026-09-30 eCollection Date: 2026-01-01 DOI:10.3389/fonc.2026.1895987
Xian-Zhao Deng, Meng-Yue Liu, Chen-Tian Shen, Hong-Jun Song, Jian Wang, You-Ben Fan, Quan-Yong Luo, Juan Tang, Xiao-Er Wei, Zhong-Ling Qiu
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引用次数: 0

Abstract

Background: The clinical utility of postoperative radioiodine (131I) ablation remains unclear for patients with initially diagnosed non-distant metastatic papillary thyroid carcinoma (PTC) with harboring TERT promoter(TERT-p) mutations, it is unknown whether 131I therapy reduces the risk of persistent or recurrent disease. This study investigated clinicopathological features, 2-year dynamic therapeutic responses and progression-free survival (PFS) in this specific patient cohort.

Methods: A single-center retrospective cohort study enrolled 113 eligible patients, allocated to the 131I ablation group (n=62) and non-131I group (n=51). Two-year dynamic risk stratification assessed treatment response. Kaplan-Meier curves and Cox regression models were used for survival analysis.

Results: The predominant TERT-p variant was C228T (89.4%), and most patients carried concurrent BRAFV600E mutations. Only initial surgical approach remained an independent intergroup variable. Within 2 years, 46.0% achieved acceptable responses, associated with sex and primary surgery (p=0.036,p < 0.001). High baseline ATA risk was strongly correlated with structural residual lesions and unfavorable therapeutic response (p < 0.001).No significant between-group differences in response were observed across all ATA risk subgroups. The median follow-up was 4.6 years; 3- and 5-year PFS rates were 67.5% and 39.1%. Age ≥55 years, N1b stage and high baseline ATA risk were independent adverse predictors of PFS. Both 2-year therapeutic response and PFS at the end of follow-up exhibited no statistical differences between the 131I group and non-131I group.

Conclusions: In this retrospective observational cohort, postoperative 131I ablation was not associated with improved PFS among patients with non-distant metastatic TERT-p-mutant PTC. Advanced age, N1b lymphatic metastasis and high baseline ATA risk independently predict poor outcomes. Biologically, TERT-p mutations induce tumor dedifferentiation and impaired iodine uptake, diminishing 131I efficacy. Clinically, routine 131I yields no survival benefit for this high-risk molecular subgroup, guiding individualized surveillance and avoiding redundant 131I exposure.

伴有TERT启动子突变的初始非远处转移性甲状腺乳头状癌的两年动态风险分层和辅助放射性碘疗效。
背景:对于携带TERT启动子(TERT-p)突变的初始诊断为非远处转移性甲状腺乳头状癌(PTC)的患者,术后放射性碘(131I)消融的临床应用尚不清楚,也不清楚131I治疗是否能降低疾病持续或复发的风险。该研究调查了这一特定患者队列的临床病理特征、2年动态治疗反应和无进展生存期(PFS)。方法:采用单中心回顾性队列研究,纳入113例符合条件的患者,分为131I消融组(n=62)和非131I消融组(n=51)。两年动态风险分层评估治疗反应。生存率分析采用Kaplan-Meier曲线和Cox回归模型。结果:TERT-p主要变异为C228T(89.4%),大多数患者同时携带BRAFV600E突变。只有初始手术入路仍然是独立的组间变量。在2年内,46.0%的患者获得了可接受的反应,与性别和初次手术相关(p=0.036,p < 0.001)。高基线ATA风险与结构性残留病变和不良治疗反应密切相关(p < 0.001)。在所有ATA风险亚组中,未观察到组间反应的显著差异。中位随访时间为4.6年;3年和5年PFS分别为67.5%和39.1%。年龄≥55岁、N1b分期和高基线ATA风险是PFS的独立不良预测因素。随访结束时,131I组与非131I组的2年治疗反应和PFS均无统计学差异。结论:在这一回顾性观察队列中,在非远处转移性tert -p突变型PTC患者中,术后131I消融与PFS改善无关。高龄、N1b淋巴转移和高基线ATA风险独立预测不良预后。生物学上,TERT-p突变诱导肿瘤去分化和碘摄取受损,降低了131I的疗效。临床上,常规的131I对这一高危分子亚群没有生存益处,需要进行个体化监测,避免冗余的131I暴露。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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