单细胞rna测序和空间转录组学分析显示,APOE-细胞在甲状腺乳头状癌中产生病理性淋巴结转移。

IF 7.9 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Guohui Xiao, Rongli Xie, Jianhua Gu, Yishu Huang, Min Ding, Dongjie Shen, Jiqi Yan, Jianming Yuan, Qiong Yang, Wen He, Siyu Xiao, Haizhen Chen, Dan Xu, Jian Wu, Jian Fei
{"title":"单细胞rna测序和空间转录组学分析显示,APOE-细胞在甲状腺乳头状癌中产生病理性淋巴结转移。","authors":"Guohui Xiao,&nbsp;Rongli Xie,&nbsp;Jianhua Gu,&nbsp;Yishu Huang,&nbsp;Min Ding,&nbsp;Dongjie Shen,&nbsp;Jiqi Yan,&nbsp;Jianming Yuan,&nbsp;Qiong Yang,&nbsp;Wen He,&nbsp;Siyu Xiao,&nbsp;Haizhen Chen,&nbsp;Dan Xu,&nbsp;Jian Wu,&nbsp;Jian Fei","doi":"10.1002/ctm2.70172","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Thyroid cancer is one of the most common endocrine tumors worldwide, especially among women and the metastatic mechanism of papillary thyroid carcinoma remains poorly understood.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Thyroid cancer tissue samples were obtained for single-cell RNA-sequencing and spatial transcriptomics, aiming to intratumoral and antimetastatic heterogeneity of advanced PTC. The functions of <i>APOE</i> in PTC cell proliferation and invasion were confirmed through in vivo and in vitro assays. Pseudotime analysis and CellChat were performed to explore the the molecular mechanisms of the <i>APOE</i> in PTC progression.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified a subpopulation of tumor cells with lower expression levels of <i>APOE</i>, associated with advanced stages of PTC and cervical metastasis. <i>APOE</i> overexpression significantly reduced tumor cell proliferation and invasion, both in vitro and in vivo, by activating the <i>ABCA1-LXR</i> axis. <i>APOE<sup>−</sup></i> tumor cells may promote tumor growth by interacting with dendritic cells and CD4<sup>+</sup> T cells via <i>CD99</i>- rather than CD6-regulated signaling. We established a machine learning-based scRNA-seq data, 13-gene signature predictive of lymph node metastasis.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>We identified a distinct <i>APOE<sup>−</sup></i> tumor cell population associated with cervical metastasis and poor prognosis. Our results and models have potential clinical, prognostic, and therapeutic implications for advanced PTC.</p>\n </section>\n \n <section>\n \n <h3> Key points</h3>\n \n <div>\n <ul>\n \n <li>A subpopulation of tumor cells with lower expression levels of <i>APOE</i> was strongly associated with more advanced stages and metastasis of PTC.</li>\n \n <li><i>APOE</i>-negative (<i>APOE</i><sup>−</sup>) cellsoverall exhibited weaker interactions with immune cells.</li>\n \n <li>A machine-learning bioinformatics model based on scRNA-seq data of in-situ thyroid cancer tissue was established to predict lymph node metastasis.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"15 1","pages":""},"PeriodicalIF":7.9000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733439/pdf/","citationCount":"0","resultStr":"{\"title\":\"Single-cell RNA-sequencing and spatial transcriptomic analysis reveal a distinct population of APOE− cells yielding pathological lymph node metastasis in papillary thyroid cancer\",\"authors\":\"Guohui Xiao,&nbsp;Rongli Xie,&nbsp;Jianhua Gu,&nbsp;Yishu Huang,&nbsp;Min Ding,&nbsp;Dongjie Shen,&nbsp;Jiqi Yan,&nbsp;Jianming Yuan,&nbsp;Qiong Yang,&nbsp;Wen He,&nbsp;Siyu Xiao,&nbsp;Haizhen Chen,&nbsp;Dan Xu,&nbsp;Jian Wu,&nbsp;Jian Fei\",\"doi\":\"10.1002/ctm2.70172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Thyroid cancer is one of the most common endocrine tumors worldwide, especially among women and the metastatic mechanism of papillary thyroid carcinoma remains poorly understood.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Thyroid cancer tissue samples were obtained for single-cell RNA-sequencing and spatial transcriptomics, aiming to intratumoral and antimetastatic heterogeneity of advanced PTC. The functions of <i>APOE</i> in PTC cell proliferation and invasion were confirmed through in vivo and in vitro assays. Pseudotime analysis and CellChat were performed to explore the the molecular mechanisms of the <i>APOE</i> in PTC progression.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We identified a subpopulation of tumor cells with lower expression levels of <i>APOE</i>, associated with advanced stages of PTC and cervical metastasis. <i>APOE</i> overexpression significantly reduced tumor cell proliferation and invasion, both in vitro and in vivo, by activating the <i>ABCA1-LXR</i> axis. <i>APOE<sup>−</sup></i> tumor cells may promote tumor growth by interacting with dendritic cells and CD4<sup>+</sup> T cells via <i>CD99</i>- rather than CD6-regulated signaling. We established a machine learning-based scRNA-seq data, 13-gene signature predictive of lymph node metastasis.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>We identified a distinct <i>APOE<sup>−</sup></i> tumor cell population associated with cervical metastasis and poor prognosis. Our results and models have potential clinical, prognostic, and therapeutic implications for advanced PTC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Key points</h3>\\n \\n <div>\\n <ul>\\n \\n <li>A subpopulation of tumor cells with lower expression levels of <i>APOE</i> was strongly associated with more advanced stages and metastasis of PTC.</li>\\n \\n <li><i>APOE</i>-negative (<i>APOE</i><sup>−</sup>) cellsoverall exhibited weaker interactions with immune cells.</li>\\n \\n <li>A machine-learning bioinformatics model based on scRNA-seq data of in-situ thyroid cancer tissue was established to predict lymph node metastasis.</li>\\n </ul>\\n </div>\\n </section>\\n </div>\",\"PeriodicalId\":10189,\"journal\":{\"name\":\"Clinical and Translational Medicine\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733439/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70172\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70172","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:甲状腺癌是世界范围内最常见的内分泌肿瘤之一,尤其是在女性中,甲状腺乳头状癌的转移机制尚不清楚。方法:获取甲状腺癌组织样本进行单细胞rna测序和空间转录组学分析,旨在了解晚期PTC的肿瘤内和抗转移异质性。通过体内和体外实验证实APOE在PTC细胞增殖和侵袭中的作用。利用伪时间分析和CellChat技术探讨APOE在PTC进展中的分子机制。结果:我们发现了APOE表达水平较低的肿瘤细胞亚群,与PTC晚期和宫颈转移有关。在体外和体内,APOE过表达通过激活ABCA1-LXR轴,显著降低肿瘤细胞的增殖和侵袭。APOE-肿瘤细胞可能通过CD99-而不是cd6调节的信号与树突状细胞和CD4+ T细胞相互作用,从而促进肿瘤生长。我们建立了基于机器学习的scRNA-seq数据,13个基因签名预测淋巴结转移。结论:我们发现了一个独特的APOE肿瘤细胞群与宫颈转移和不良预后相关。我们的结果和模型对晚期PTC具有潜在的临床、预后和治疗意义。重点:APOE表达水平较低的肿瘤细胞亚群与PTC的晚期和转移密切相关。APOE-阴性(APOE-)细胞与免疫细胞的相互作用总体较弱。建立基于原位甲状腺癌组织scRNA-seq数据的机器学习生物信息学模型,预测淋巴结转移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Single-cell RNA-sequencing and spatial transcriptomic analysis reveal a distinct population of APOE− cells yielding pathological lymph node metastasis in papillary thyroid cancer

Single-cell RNA-sequencing and spatial transcriptomic analysis reveal a distinct population of APOE− cells yielding pathological lymph node metastasis in papillary thyroid cancer

Background

Thyroid cancer is one of the most common endocrine tumors worldwide, especially among women and the metastatic mechanism of papillary thyroid carcinoma remains poorly understood.

Methods

Thyroid cancer tissue samples were obtained for single-cell RNA-sequencing and spatial transcriptomics, aiming to intratumoral and antimetastatic heterogeneity of advanced PTC. The functions of APOE in PTC cell proliferation and invasion were confirmed through in vivo and in vitro assays. Pseudotime analysis and CellChat were performed to explore the the molecular mechanisms of the APOE in PTC progression.

Results

We identified a subpopulation of tumor cells with lower expression levels of APOE, associated with advanced stages of PTC and cervical metastasis. APOE overexpression significantly reduced tumor cell proliferation and invasion, both in vitro and in vivo, by activating the ABCA1-LXR axis. APOE tumor cells may promote tumor growth by interacting with dendritic cells and CD4+ T cells via CD99- rather than CD6-regulated signaling. We established a machine learning-based scRNA-seq data, 13-gene signature predictive of lymph node metastasis.

Conclusions

We identified a distinct APOE tumor cell population associated with cervical metastasis and poor prognosis. Our results and models have potential clinical, prognostic, and therapeutic implications for advanced PTC.

Key points

  • A subpopulation of tumor cells with lower expression levels of APOE was strongly associated with more advanced stages and metastasis of PTC.
  • APOE-negative (APOE) cellsoverall exhibited weaker interactions with immune cells.
  • A machine-learning bioinformatics model based on scRNA-seq data of in-situ thyroid cancer tissue was established to predict lymph node metastasis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
15.90
自引率
1.90%
发文量
450
审稿时长
4 weeks
期刊介绍: Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信