• 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

通过转移相关基因的综合转录组分析鉴定甲状腺癌新的预后生物标志物

Identification of novel prognostic biomarkers for thyroid cancer by integrated transcriptome analysis of metastasis-associated genes.

作者信息

Alnwisser Bushra, Alshehri Salman, Qattan Amal, Zou Minjing, Aboussekhra Abdelilah, Alzahrani Ali S, Shi Yufei

机构信息

Department of Molecular Oncology, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.

King Abdulaziz and His Companions Foundation for Giftedness and Creativity, Riyadh, Saudi Arabia.

出版信息

Front Oncol. 2025 May 19;15:1536270. doi: 10.3389/fonc.2025.1536270. eCollection 2025.

DOI:10.3389/fonc.2025.1536270
PMID:40458726
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12127207/
Abstract

INTRODUCTION

Distant metastasis (DM) is the most important prognostic factor affecting the overall survival (OS) of thyroid cancer. The current study aimed to discover prognostic biomarkers to predict thyroid cancer survival, particularly papillary thyroid carcinoma (PTC), the most common subtype of thyroid cancer.

METHODS

Four RNA sequencing (RNA-Seq) datasets of experimental lung metastasis from four transgenic mouse models of PTC, follicular thyroid cancer (FTC), poorly differentiated thyroid cancer (PDTC), and anaplastic thyroid cancer (ATC) were integrated to screen for candidate genes involved in DM. The Cancer Genome Atlas-Thyroid Cancer (TCGA-THCA) dataset was used to validate the candidate genes.

RESULTS

A total of 105 upregulated and 25 downregulated differentially expressed genes (DEGs) were identified to be present in all four datasets. Regulation of cytokine production, inflammation, immune checkpoint regulation, and MAPK/ERK cascade were major enriched pathways in metastatic tumor cells. Seven genes were identified whose overexpression was present in 63 of 498 PTC patients (13%) and was associated with poor OS (p < 0.01). Clinically, the seven-gene expression signature was associated with older age at the diagnosis, late stage of tumor, tall cell variant, and higher aneuploidy and hypoxia score. Mutation load was increased in patients with seven-gene expression signature: 26 samples had more than one driver mutation (47%, 26/55). Deep deletions in other chromosomal loci were frequently found in patients with BRAFV600E mutations. In contrast, only 7% of patients without a seven-gene expression signature had more than one driver mutation (24/243). Increased chromosomal instability was also observed in patients with a seven gene expression signature.

CONCLUSION

The seven-gene expression signature is associated with poor prognosis and chromosomal instability. These genes may be useful biomarkers for risk stratification for DM and help decision-making in initial surgical recommendations.

摘要

引言

远处转移(DM)是影响甲状腺癌总生存期(OS)的最重要预后因素。本研究旨在发现预测甲状腺癌生存的预后生物标志物,尤其是甲状腺癌最常见的亚型——乳头状甲状腺癌(PTC)。

方法

整合了来自PTC、滤泡状甲状腺癌(FTC)、低分化甲状腺癌(PDTC)和未分化甲状腺癌(ATC)四种转基因小鼠模型的四个实验性肺转移RNA测序(RNA-Seq)数据集,以筛选参与DM的候选基因。使用癌症基因组图谱-甲状腺癌(TCGA-THCA)数据集验证候选基因。

结果

在所有四个数据集中共鉴定出105个上调和25个下调的差异表达基因(DEG)。细胞因子产生的调节、炎症、免疫检查点调节和MAPK/ERK级联是转移肿瘤细胞中的主要富集途径。鉴定出七个基因,其过表达存在于498例PTC患者中的63例(13%)中,并且与较差的OS相关(p<0.01)。临床上,七基因表达特征与诊断时年龄较大、肿瘤晚期、高细胞变体以及更高的非整倍体和缺氧评分相关。具有七基因表达特征的患者突变负荷增加:26个样本有不止一个驱动突变(47%,26/55)。在BRAFV600E突变患者中经常发现其他染色体位点的深度缺失。相比之下,没有七基因表达特征的患者中只有7%有不止一个驱动突变(24/243)。在具有七基因表达特征的患者中也观察到染色体不稳定性增加。

结论

七基因表达特征与不良预后和染色体不稳定性相关。这些基因可能是DM风险分层的有用生物标志物,并有助于在初始手术建议中做出决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/1282fb661e05/fonc-15-1536270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/93e1fd6b4fbb/fonc-15-1536270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/e1ef9bb8caa2/fonc-15-1536270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/5fbfa66dee44/fonc-15-1536270-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/b247355269e1/fonc-15-1536270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/8441b78794cf/fonc-15-1536270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/1282fb661e05/fonc-15-1536270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/93e1fd6b4fbb/fonc-15-1536270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/e1ef9bb8caa2/fonc-15-1536270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/5fbfa66dee44/fonc-15-1536270-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/b247355269e1/fonc-15-1536270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/8441b78794cf/fonc-15-1536270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4f/12127207/1282fb661e05/fonc-15-1536270-g006.jpg

相似文献

1
Identification of novel prognostic biomarkers for thyroid cancer by integrated transcriptome analysis of metastasis-associated genes.通过转移相关基因的综合转录组分析鉴定甲状腺癌新的预后生物标志物
Front Oncol. 2025 May 19;15:1536270. doi: 10.3389/fonc.2025.1536270. eCollection 2025.
2
Identification of ferroptosis genes in immune infiltration and prognosis in thyroid papillary carcinoma using network analysis.利用网络分析鉴定甲状腺乳头状癌免疫浸润和预后中的铁死亡基因
BMC Genomics. 2021 Jul 27;22(1):576. doi: 10.1186/s12864-021-07895-6.
3
Identification of a Five-Gene Signature and Establishment of a Prognostic Nomogram to Predict Progression-Free Interval of Papillary Thyroid Carcinoma.鉴定五基因特征并建立预测甲状腺乳头状癌无进展生存期的预后列线图。
Front Endocrinol (Lausanne). 2019 Nov 15;10:790. doi: 10.3389/fendo.2019.00790. eCollection 2019.
4
Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.利用生物信息学分析鉴定甲状腺乳头、滤泡和间变性癌中的潜在可靶向基因。
Endocrine. 2024 Oct;86(1):255-267. doi: 10.1007/s12020-024-03836-x. Epub 2024 Apr 27.
5
Weighted gene co-expression network reveals driver genes contributing to phenotypes of anaplastic thyroid carcinoma and immune checkpoint identification for therapeutic targets.加权基因共表达网络揭示了促发间变性甲状腺癌表型的驱动基因以及用于治疗靶点识别的免疫检查点。
Front Oncol. 2022 Dec 1;12:1018479. doi: 10.3389/fonc.2022.1018479. eCollection 2022.
6
Identification of a Four-Gene Signature for Determining the Prognosis of Papillary Thyroid Carcinoma by Integrated Bioinformatics Analysis.通过综合生物信息学分析鉴定用于确定甲状腺乳头状癌预后的四基因特征
Int J Gen Med. 2022 Feb 4;15:1147-1160. doi: 10.2147/IJGM.S346058. eCollection 2022.
7
Development of a prognostic index based on an immunogenomic landscape analysis of papillary thyroid cancer.基于乳头状甲状腺癌免疫基因组图谱分析的预后指数的开发。
Aging (Albany NY). 2019 Jan 20;11(2):480-500. doi: 10.18632/aging.101754.
8
Transcriptome Analyses Identify a Metabolic Gene Signature Indicative of Dedifferentiation of Papillary Thyroid Cancer.转录组分析确定了一个代谢基因特征,表明甲状腺乳头状癌去分化。
J Clin Endocrinol Metab. 2019 Sep 1;104(9):3713-3725. doi: 10.1210/jc.2018-02686.
9
Identification of a Six Gene Prognosis Signature for Papillary Thyroid Cancer Using Multi-Omics Methods and Bioinformatics Analysis.使用多组学方法和生物信息学分析鉴定甲状腺乳头状癌的六基因预后特征
Front Oncol. 2021 Mar 18;11:624421. doi: 10.3389/fonc.2021.624421. eCollection 2021.
10
Genome-wide transcriptome analysis and drug target discovery reveal key genes and pathways in thyroid cancer metastasis.全基因组转录组分析与药物靶点发现揭示甲状腺癌转移中的关键基因和通路。
Front Endocrinol (Lausanne). 2025 Feb 10;16:1514264. doi: 10.3389/fendo.2025.1514264. eCollection 2025.

本文引用的文献

1
Identification of multiple organ metastasis-associated hub mRNA/miRNA signatures in non-small cell lung cancer.非小细胞肺癌中多个器官转移相关的 mRNA/miRNA 枢纽标志物的鉴定。
Cell Death Dis. 2023 Dec 6;14(12):798. doi: 10.1038/s41419-023-06286-x.
2
Non-cell-autonomous cancer progression from chromosomal instability.非细胞自主性的染色体不稳定性癌症进展。
Nature. 2023 Aug;620(7976):1080-1088. doi: 10.1038/s41586-023-06464-z. Epub 2023 Aug 23.
3
Mechanistic Insights of Thyroid Cancer Progression.甲状腺癌进展的机制研究。
Endocrinology. 2023 Aug 1;164(9). doi: 10.1210/endocr/bqad118.
4
Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations.通过肿瘤非整倍体评分和拷贝数改变分数优化癌症免疫治疗反应预测。
NPJ Precis Oncol. 2023 Jun 3;7(1):54. doi: 10.1038/s41698-023-00408-6.
5
Regulation of cGAS and STING signaling during inflammation and infection.环鸟苷酸-腺苷酸合成酶(cGAS)和 STING 信号通路在炎症和感染中的调控作用。
J Biol Chem. 2023 Jul;299(7):104866. doi: 10.1016/j.jbc.2023.104866. Epub 2023 May 27.
6
Anaplastic transformation in thyroid cancer revealed by single-cell transcriptomics.单细胞转录组学揭示甲状腺癌中的间变转化。
J Clin Invest. 2023 Jun 1;133(11):e169653. doi: 10.1172/JCI169653.
7
Fc Fragment of IgE Receptor Ig (FCER1G) acts as a key gene involved in cancer immune infiltration and tumour microenvironment.免疫球蛋白E受体Ig的Fc片段(FCER1G)是参与癌症免疫浸润和肿瘤微环境的关键基因。
Immunology. 2023 Feb;168(2):302-319. doi: 10.1111/imm.13557. Epub 2022 Aug 22.
8
Role of CD68 in tumor immunity and prognosis prediction in pan-cancer.CD68 在泛癌中的肿瘤免疫和预后预测中的作用。
Sci Rep. 2022 May 12;12(1):7844. doi: 10.1038/s41598-022-11503-2.
9
Arginase: An emerging and promising therapeutic target for cancer treatment.精氨酸酶:癌症治疗中一个新兴且有前景的治疗靶点。
Biomed Pharmacother. 2022 May;149:112840. doi: 10.1016/j.biopha.2022.112840. Epub 2022 Mar 19.
10
Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.单细胞RNA测序揭示乳腺癌淋巴结转移的细胞异质性和转录组图谱。
Oncogenesis. 2021 Oct 5;10(10):66. doi: 10.1038/s41389-021-00355-6.