• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

TCR-Seq 鉴定出远处转移和非远处转移甲状腺肿瘤的不同肿瘤特异性 T 细胞受体库。

TCR-Seq Identifies Distinct Repertoires of Distant-Metastatic and Nondistant-Metastatic Thyroid Tumors.

机构信息

Department of Head and Neck Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.

Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences Hangzhou, China.

出版信息

J Clin Endocrinol Metab. 2020 Sep 1;105(9). doi: 10.1210/clinem/dgaa452.

DOI:10.1210/clinem/dgaa452
PMID:32674137
Abstract

CONTEXT

Malignant thyroid tumor with distant metastasis is associated with poor outcome. Early detection of distant metastasis is of great clinical importance.

OBJECTIVE

Thyroid tumor infiltrated with T cells can serve as a biomarker for monitoring metastasis.

DESIGN

A retrospective analysis was performed of patient clinical samples collected between 2012 to 2018, using T-cell receptor sequencing (TCR-seq) for clinical exploration.

SETTING

This study took place at Zhejiang Cancer Hospital.

PATIENTS

Sixty-eight patients with papillary thyroid cancer (PTC) (distinct metastatic status) and 21 patients with benign nodules were enrolled. All patients had not received any treatment before surgery.

MAIN OUTCOME MEASURE

The characteristics of TCRβ complementary-determining region 3 (CDR3) for each patient were determined by high-throughput sequencing.

RESULTS

The TCRβ diversity of malignant tumors is significantly higher than benign nodules both in blood and tumor samples (Shannon index, blood, P < .01; tumor, P < .001). The malignant tumors with distant metastasis or invasiveness showed lower TCRβ diversity than nonmetastasis (Shannon index, P < .01) or noninvasive (Shannon index, P < .01) malignant tumors. Analysis of the Morisita-Horn similarity index indicated significant TCRβ repertoire similarity between tumor and blood in distant-metastatic patients (comparison with nonmetastasis, P < .05). According to the discrepancy of the CDR3 among patients with different clinicopathological status, the classifier was constructed to discriminate distant-metastatic individuals. A promising area under the curve value of 83.8% was obtained with the number of overlapping CDR3 clonotypes.

CONCLUSION

The availability and reliability of TCR-seq render it prospective to translate these intrinsic attributes into clinical practice for monitoring distant metastasis in PTC patients.

摘要

背景

甲状腺恶性肿瘤伴远处转移与不良预后相关。早期发现远处转移具有重要的临床意义。

目的

甲状腺浸润 T 细胞的肿瘤可作为监测转移的生物标志物。

设计

回顾性分析了 2012 年至 2018 年间收集的患者临床样本,采用 T 细胞受体测序(TCR-seq)进行临床探索。

地点

浙江省肿瘤医院。

患者

纳入 68 例甲状腺乳头状癌(PTC)(转移状态不同)患者和 21 例良性结节患者。所有患者在手术前均未接受任何治疗。

主要观察指标

通过高通量测序确定每位患者 TCRβ互补决定区 3(CDR3)的特征。

结果

恶性肿瘤的 TCRβ多样性在血液和肿瘤样本中均明显高于良性结节(Shannon 指数,血液,P<.01;肿瘤,P<.001)。远处转移或侵袭性的恶性肿瘤的 TCRβ多样性低于非转移(Shannon 指数,P<.01)或非侵袭性(Shannon 指数,P<.01)恶性肿瘤。Morisita-Horn 相似性指数分析表明,远处转移患者肿瘤与血液之间的 TCRβ库具有显著的相似性(与非转移患者比较,P<.05)。根据不同临床病理状态患者间 CDR3 的差异,构建了分类器以区分远处转移个体。重叠 CDR3 克隆型数量的曲线下面积为 83.8%,具有较好的预测价值。

结论

TCR-seq 的可用性和可靠性使其有望将这些内在特征转化为 PTC 患者监测远处转移的临床实践。

相似文献

1
TCR-Seq Identifies Distinct Repertoires of Distant-Metastatic and Nondistant-Metastatic Thyroid Tumors.TCR-Seq 鉴定出远处转移和非远处转移甲状腺肿瘤的不同肿瘤特异性 T 细胞受体库。
J Clin Endocrinol Metab. 2020 Sep 1;105(9). doi: 10.1210/clinem/dgaa452.
2
T Cell Receptor Beta-Chain Profiling of Tumor Tissue, Peripheral Blood and Regional Lymph Nodes From Patients With Papillary Thyroid Carcinoma.甲状腺乳头状癌患者肿瘤组织、外周血和区域淋巴结的 T 细胞受体β链分析。
Front Immunol. 2021 Feb 18;12:595355. doi: 10.3389/fimmu.2021.595355. eCollection 2021.
3
Exosome-mediated Delivery of miR-519e-5p Promotes Malignant Tumor Phenotype and CD8+ T-Cell Exhaustion in Metastatic PTC.外泌体介导的 miR-519e-5p 递呈促进转移性甲状腺癌中恶性肿瘤表型和 CD8+ T 细胞耗竭
J Clin Endocrinol Metab. 2024 May 17;109(6):1601-1617. doi: 10.1210/clinem/dgad725.
4
Tumor Mutation Burden Predicts Relapse in Papillary Thyroid Carcinoma With Changes in Genes and Immune Microenvironment.肿瘤突变负荷通过基因和免疫微环境变化预测甲状腺乳头状癌复发
Front Endocrinol (Lausanne). 2021 Jun 23;12:674616. doi: 10.3389/fendo.2021.674616. eCollection 2021.
5
Genomic landscape of metastatic papillary thyroid carcinoma and novel biomarkers for predicting distant metastasis.转移性甲状腺乳头状癌的基因组图谱和预测远处转移的新型生物标志物。
Cancer Sci. 2020 Jun;111(6):2163-2173. doi: 10.1111/cas.14389. Epub 2020 Apr 16.
6
Exosomal miRNAs are potential diagnostic biomarkers between malignant and benign thyroid nodules based on next-generation sequencing.基于下一代测序的细胞外体 miRNA 是良恶性甲状腺结节之间潜在的诊断生物标志物。
Carcinogenesis. 2020 Mar 13;41(1):18-24. doi: 10.1093/carcin/bgz160.
7
Targeted next-generation sequencing in papillary thyroid carcinoma patients looking for germline variants predisposing to the disease.对患有甲状腺乳头癌并寻找易患该疾病的种系变异的患者进行靶向下一代测序。
Endocrine. 2019 Jun;64(3):622-631. doi: 10.1007/s12020-019-01878-0. Epub 2019 Mar 2.
8
Role of differentially expressed genes and long non-coding RNAs in papillary thyroid carcinoma diagnosis, progression, and prognosis.差异表达基因和长非编码 RNA 在甲状腺乳头状癌诊断、进展和预后中的作用。
J Cell Biochem. 2018 Nov;119(10):8249-8259. doi: 10.1002/jcb.26836. Epub 2018 Jul 3.
9
Clonal Distribution and Intratumor Heterogeneity of the TCR Repertoire in Papillary Thyroid Cancer With or Without Coexistent Hashimoto's Thyroiditis.伴有或不伴有桥本甲状腺炎的甲状腺乳头状癌中 TCR 受体库的克隆分布和肿瘤内异质性。
Front Immunol. 2022 Jun 3;13:821601. doi: 10.3389/fimmu.2022.821601. eCollection 2022.
10
A novel RNA sequencing-based risk score model to predict papillary thyroid carcinoma recurrence.一种基于 RNA 测序的新型风险评分模型,用于预测甲状腺乳头状癌复发。
Clin Exp Metastasis. 2020 Apr;37(2):257-267. doi: 10.1007/s10585-019-10011-4. Epub 2019 Dec 2.

引用本文的文献

1
EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning.EpicPred:使用基于注意力的多示例学习预测由表位结合TCR驱动的表型。
Bioinformatics. 2025 Mar 4;41(3). doi: 10.1093/bioinformatics/btaf080.
2
Human TCR repertoire in cancer.人类 TCR 库在癌症中的作用。
Cancer Med. 2024 Sep;13(17):e70164. doi: 10.1002/cam4.70164.
3
BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.BertTCR:一种基于 Bert 的深度学习框架,用于基于 T 细胞受体库预测癌症相关的免疫状态。
Brief Bioinform. 2024 Jul 25;25(5). doi: 10.1093/bib/bbae420.
4
DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs.DeepLION2:基于模体注意力策略的深度多实例对比学习框架,用于增强对癌症相关 T 细胞受体的预测。
Front Immunol. 2024 Mar 7;15:1345586. doi: 10.3389/fimmu.2024.1345586. eCollection 2024.
5
The overlap of skin and blood T-cell clones in early-stage mycosis fungoides.蕈样肉芽肿早期皮肤与血液T细胞克隆的重叠
Blood Adv. 2023 Oct 24;7(20):6206-6210. doi: 10.1182/bloodadvances.2023010867.
6
DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection.DeepLION:深度多实例学习改进癌症相关T细胞受体预测以实现准确的癌症检测。
Front Genet. 2022 Apr 11;13:860510. doi: 10.3389/fgene.2022.860510. eCollection 2022.
7
Identification and validation of potential novel biomarkers to predict distant metastasis in differentiated thyroid cancer.识别和验证用于预测分化型甲状腺癌远处转移的潜在新型生物标志物。
Ann Transl Med. 2021 Jul;9(13):1053. doi: 10.21037/atm-21-383.