基于基因突变的分子风险分层对甲状腺乳头状癌淋巴结转移的预测价值研究

Correlation between gene mutations and lymph node metastasis in papillary thyroid carcinoma by using molecular risk group method

  • 摘要: 背景 甲状腺乳头状癌(papillary thyroid carcinoma,PTC)患者总体预后良好,但有部分患者发生现淋巴结转移,如何预测PTC淋巴结转移仍缺乏有效手段。目的 使用分子风险分层(molecular risk group,MRG)方法,探索PTC高危分子分型与淋巴结转移的相关性。方法 使用二代测序技术(next-generation sequencing,NGS)对2021 年11 月至2024 年3 月解放军总医院第一医学中心甲状腺(疝)外科进行手术的PTC患者术后标本进行基因检测,对39 种基因变异进行分子风险分层,同时收集患者的临床病理学资料,进行淋巴结转移关联因素的logistic 回归,并对MRG评估效能进行分析。结果 共纳入74PTC例患者,男性23 例(31.1%),女性51 例(68.9%);年龄17 ~ 69 岁,中位发病年龄(40.16±12.59)岁。74 例PTC患者完成177 panel 基因联合检测,共检查出39 种基因变异,其中SNV/Indel 37 种,基因融合2 种,基因变异率为100%,MRG高危分型38 例(51.35%),低危分型36 例(48.65%)。MRG分型与甲状腺乳头状癌临床病理学特征的关系分析显示有被膜侵犯与MRG高危分型显著相关(P=0.035)。多因素Logistic 回归结果显示MRG高危分型是PTC患者淋巴结转移/中央区淋巴结转移/侧颈区淋巴结转移的独立危险因素(OR=3.080/2.545/1.443,P<0.05)。配对4 格表分析显示患者MRG高危分型对淋巴结转移/中央区淋巴结转移/侧颈区淋巴结转移均有一定的评估效能,其AUC分别为0.729,0.671,0.601。统计推断显示:MRG高危分型对淋巴结转移/中央区淋巴结转移的关联性显著(P<0.05),但优势性(差异性检验)亦全部显著(P<0.05),提示和金标准结果有一定差别。结论 本研究利用分子风险分层方法揭示MRG 高危分型与PTC中央区淋巴结转移相关,MRG高危分型可能是预测PTC中央区淋巴结转移的潜在指标,可以为术前评估PTC患者是否存在中央区淋巴结转移提供新的方法。

     

    Abstract: Background The overall prognosis of patients with papillary thyroid carcinoma (PTC) is relatively good. However, some PTC patients have thyroid lymph node metastasis. At present, preoperative ultrasound is the main method to evaluate lymph node metastasis of thyroid cancer. Some studies have shown that BRAF, RAS and other gene mutations are related to lymph node metastasis of PTC, but the accuracy is limited. Objective To explore the correlation between high-risk molecular subtypes of PTC and lymph node metastasis (LNM) by molecular risk group (MRG). Methods Genetic testing was performed using next-generation sequencing technology (NGS) on postoperative specimens of PTC patients who underwent surgery in the Department of Thyroid (hernia) Surgery, the First Medical Center of Chinese PLA General Hospital from November 2021 to March 2024, and molecular risk group (MRG High and non-MRG High) was performed for 39 gene variants. At the same time, the clinicopathological data of the patients were collected, multivariate regression analysis was performed, and the efficacy analysis was evaluated.Results A total of 74 PTC patients were enrolled, including 23 males (31.1%) and 51 females (68.9%). The age ranged from 17 to 69 years, with a median age of (40.16±12.59) years. A total of 39 gene mutations were detected in 74 PTC patients, including 37 SNV/Indel and 2 fusion genes, with a mutation rate of 100%. MRG high-risk classification was found in 38 cases (51.35%) and low-risk classification in 36 cases (48.65%). The relationship between MRG classification and clinicopathological features of papillary thyroid carcinoma showed that the presence of capsular invasion was significantly related to MRG high-risk classification (P=0.035). Multivariate Logistic regression analysis showed that MRG high-risk classification was an independent risk factor for LNM/CLNM/LLNM in PTC patients (OR=3.080/2.545/1.443, P<0.05). Paired four-grid table analysis showed that MRG high-risk classification had a certain evaluation efficacy for lymph node metastasis, central lymph node metastasis and lateral cervical lymph node metastasis, and the AUC was 0.729, 0.671 and 0.601, respectively. Statistical inference showed that MRG highrisk classification was significantly associated with lymph node metastasis/central lymph node metastasis (P<0.05), but the dominance (difference test) was also significant (P<0.05), suggesting that it was different from the gold standard. Conclusion MRG high-risk classification is associated with central lymph node metastasis in PTC by molecular risk stratification method. MRG high-risk classification may be a potential indicator for predicting central lymph node metastasis in PTC, which is a new method for preoperative evaluation of central lymph node metastasis in PTC patients.

     

/

返回文章
返回