基于TCGA数据库探讨fibronectin 1在甲状腺癌中的表达及临床意义
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  • 英文篇名:Identification of applicable potential value of fibronectin 1 in thyroid cancer in clinic:A study based on TCGA dataset analyses
  • 作者:尹璐 ; 杜宁彬 ; 肖迎聪 ; 任建功
  • 英文作者:Yin Lu;Du Ningbin;Xiao Yingcong;Ren Jiangong;The First Renmin Hospital of Xianyang;The Second Hospital of Lanzhou University;The Affiliated Hospital of Shaanxi University of Chinese Medicine;
  • 关键词:甲状腺癌 ; fibronectin ; 1 ; 癌症基因组图谱
  • 英文关键词:thyroid cancer;;fibronectin 1;;TCGA
  • 中文刊名:SXZL
  • 英文刊名:Journal of Modern Oncology
  • 机构:咸阳市第一人民医院;兰州大学第二医院;陕西中医药大学附属医院;
  • 出版日期:2019-07-05
  • 出版单位:现代肿瘤医学
  • 年:2019
  • 期:v.27;No.271
  • 基金:咸阳市科学技术研究与发展技术项目(编号:2017K02-96)
  • 语种:中文;
  • 页:SXZL201913012
  • 页数:7
  • CN:13
  • ISSN:61-1415/R
  • 分类号:60-66
摘要
目的:研究fibronectin 1(FN1)在甲状腺癌的表达情况,探讨FN1与临床参数的关系,预测其在肿瘤发生发展中的可能机制。方法:从癌症基因组图谱(TCGA)数据库下载甲状腺癌中FN1的RNA SEq V2资料和临床信息,分别采用SPSS进行数据统计比较甲状腺癌组织和非肿瘤甲状腺组织中FN1的表达,利用linkedomics在线分析系统总结fibronectin 1与临床病理参数的关系,使用Kaplan-Meier Plotter进行无复发生存期比较,通过linkedomics在线系统中的基因富集分析(GSEA)分析预测可能相关的信号通路。结果:FN1在甲状腺癌组织中的mRNA表达显著增多(16. 663 0±0. 378 6 vs 12. 182 4±0. 139 6,P <0. 000 1; 16. 724 4±0. 124 1 vs 12. 182 4±0. 139 6,P <0. 000 1),在乳头状甲状腺癌中的表达偏高(P=0. 197×10-33),随T分期增加表达逐渐升高(P=3. 321×10-8),在淋巴结转移N1中表达显著增高(P=9. 963×10-16),随病理分级增加表达升高(P=2. 780×10-9)和随残余增多时表达量升高(P=7. 481×10-3)。高表达FN1的患者无复发生存期显著短于低表达患者(HR高表达=2; PHR=0. 026 <0. 05)。FN1高表达样本富集了NF-κB通路,肿瘤坏死因子(TNF)信号通路中激活的PI3K/AKT途径,细胞黏附分子(cell adhesion molecules)中激活的Claudin-1-Notch pathway-EMT途径和甲状腺激素合成(thyroid hormone synthesis)中抑制的PAX8/PPARγ途径等基因集。验证实验结果发现甲状腺癌的肿瘤基质中FN1表达、mRNA转录水平和蛋白表达显著升高。结论:甲状腺癌中FN1上调表达,符合肿瘤研究的相关通路,可以作为预测淋巴结转移和判断预后的重要因子。
        Objective: To investigate the value of fibronectin 1 in thyroid cancer,the relation between fibronectin 1 and clinic-pathological situation and to prognosticate the mechanisms involved. Methods: The RNA SEq V2 data and clinical information of fibronectin 1 in thyroid cancer from the cancer Genome Atlas( TCGA) was downloaded. The comparisons of fibronectin 1 expression between carcinoma samples and non-cancer tissue were performed statistically by the software SPSS. The relationship between fibronectin 1 and clinic-pathological factors were analyzed by the online tool linkedomics. The gap of the disease free survival was compared by the Kaplan-Meier Plotter. Gene set enrichment analysis( GSEA) was used to predict the gene sets modulated by fibronectin 1. Results: The mRNA expression of fibronectin 1 was significantly high in thyroid cancer[16. 663 0 ± 0. 378 6 vs 12. 182 4 ± 0. 139 6( P <0. 000 1). 16. 724 4 ± 0. 124 1 vs 12. 182 4 ± 0. 139 6( P < 0. 000 1) ]. High level of fibronectin 1 was showed in papillary thyroid cancer( P = 0. 197 × 10-33),advanced T stage( P = 3. 321 × 10-8),advanced N1 stage( P = 9. 963 ×10-16) advanced c TNM stage( P = 2. 780 × 10-9),more residual cancer( P = 7. 481 × 10-3) and associated with poor disease free survival( HRhigh expression= 2. PHR= 0. 026 < 0. 05). Fibronectin 1 could regulate the gene sets such as NF-κB pathway,PI3 K/AKT pathway in TNF signaling,Claudin-1-Notch pathway-EMT in cell adhesion molecules and PAX8/PPARγ in thyroid hormone synthesis. The proofed experiments showed the mRNA transcription levels and protein expressions increased significantly,which illustrated in the thyroid cancer matrix. Conclusion: Upregulation of fibronectin 1 was found in thyroid cancer,in accordance with the pathways involved and played a potential prognostic marker.
引文
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