张润娇, 董莉, 刘芃芃, 张蕊, 韩雷, 程亚楠, 于津浦. 甲状腺良恶性结节的基因变异差异比较[J]. 中国肿瘤临床, 2021, 48(13): 656-663. DOI: 10.3969/j.issn.1000-8179.2021.13.241
引用本文: 张润娇, 董莉, 刘芃芃, 张蕊, 韩雷, 程亚楠, 于津浦. 甲状腺良恶性结节的基因变异差异比较[J]. 中国肿瘤临床, 2021, 48(13): 656-663. DOI: 10.3969/j.issn.1000-8179.2021.13.241
Runjiao Zhang, Li Dong, Pengpeng Liu, Rui Zhang, Lei Han, Yanan Cheng, Jinpu Yu. Comparison of gene alterations between benign and malignant thyroid nodules[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2021, 48(13): 656-663. DOI: 10.3969/j.issn.1000-8179.2021.13.241
Citation: Runjiao Zhang, Li Dong, Pengpeng Liu, Rui Zhang, Lei Han, Yanan Cheng, Jinpu Yu. Comparison of gene alterations between benign and malignant thyroid nodules[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2021, 48(13): 656-663. DOI: 10.3969/j.issn.1000-8179.2021.13.241

甲状腺良恶性结节的基因变异差异比较

Comparison of gene alterations between benign and malignant thyroid nodules

  • 摘要:
      目的  应用二代测序和生物信息学方法探究甲状腺癌与良性结节的基因变异差异,在分子层面对甲状腺良恶性结节进行鉴别。
      方法  收集2014年12月至2018年5月天津医科大学肿瘤医院187例甲状腺癌患者的甲状腺结节以及81例癌旁正常甲状腺样本的DNA和RNA,根据B超和细针穿刺活检/病理学结果将样本分为癌组织和可疑良性结节。通过二代测序技术进行基因变异检测。利用生物信息学方法,对检测结果进行分析。
      结果  共检出突变位点476个,累计突变基因40个,主要包括驱动基因、DNA损伤修复基因、免疫相关基因、染色体重塑相关基因和激素相关基因等。突变类型包括错义突变、框移突变、插入/缺失突变和无义突变。甲状腺癌的基因变异特征与可疑良性结节存在显著性差异(均P<0.05),其中BRAF、ZNF717、TERT、GGT1、CHEK2、OTUD4、RET蛋白激酶域的突变占比和基因融合的发生频率均显著高于可疑良性结节,而且RET蛋白激酶域突变和GGT1突变均与甲状腺癌淋巴结转移呈正相关(均P<0.05)。检出融合类型14例,包括CCDC6-RET、NCOA4-RET、ETV6-NTRK3和TPM3-NTRK1共4种融合类型。
      结论  甲状腺癌的基因变异特征与可疑良性结节存在显著性差异,虽然癌组织和可疑良性结节在部分基因的突变占比上无显著性差异,但是在癌组织中BRAF、TERT、ZNF717、GGT1、CHEK2、OTUD4、RET、PI3K/Akt通路、AMPK通路相关基因以及融合基因的突变占比均显著高于可疑良性结节,上述变异基因可以作为潜在的生物标志物,在分子水平方面有效的区分恶性甲状腺结节和良性甲状腺结节。

     

    Abstract:
      Objective  We investigated the differences of gene alterations between thyroid cancer and benign thyroid nodules by next-generation sequencing and bioinformatics methods in order to distinguish benign and malignant thyroid nodules at molecular level.
      Methods  In this study, 187 thyroid nodule samples were collected from thyroid patients enrolled in Tianjin Cancer Hospital from December 2014 to May 2018, and these samples were divided into thyroid carcinomas and suspected benign nodules by B-ultrasonography and fine needle aspiration biopsy (FNA). Thyroid carcinomas were further confirmed by postoperative pathological examinations. DNA and RNA were all extracted from these 187 samples, meanwhile we also collected 81 paracancerous normal thyroid samples and extracted DNA and RNA from them. Gene alterations of all the samples mentioned above were detected by next-generation sequencing technology. And the results were analyzed by bioinformatics methods.
      Results  A total of 476 mutation sites were detected, and 40 mutated genes were involved, including driver oncogenes, DNA damage repair genes, immune-related genes, chromatin remodeling genes and hormone-related genes, etc. The types of mutations included missense mutations, frame shift mutations, insertion, deletion and nonsense mutations. Genetic alteration features of thyroid cancer were significantly different from those of suspected benign nodules. Among them, the mutation frequencies of BRAF, ZNF717, TERT, GGT1, CHEK2, OTUD4, RET protein kinase domain and the occurrence of gene fusions in cancer are significantly higher than those in suspected benign nodules, and RET protein kinase domain and GGT1 mutations were positively correlated with lymph node metastasis in thyroid cancer. Fourteen samples harboring gene fusions were detected in RNA samples, and fusion types were CCDC6-RET, NCOA4-RET, ETV6-NTRK3 and TPM3-NTRK1.
      Conclusions  The genetic alteration features of thyroid cancer are significantly different from those of suspected benign nodules. Although there is no significant difference in the mutation proportions of some genes between cancer and suspected benign nodules, the mutation proportions in BRAF, TERT, ZNF717, GGT1, CHEK2, OTUD4, RET PKD, PI3K/Akt and AMPK pathway related genes and gene fusions in cancer were significantly higher than those in suspected benign nodules. So these disparity in genetic alteration profiles can be used as potential biomarkers to effectively distinguish malignancies from benign thyroid nodules at molecular level.

     

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