Ebpay生命医药出版社

Ebpay生命

100763

论文已发表

提 交 论 文


注册即可获取Ebpay生命的最新动态

注 册



IF 收录期刊



  • 3.3 Breast Cancer (Dove Med Press)
  • 3.4 Clin Epidemiol
  • 2.5 Cancer Manag Res
  • 2.9 Infect Drug Resist
  • 3.5 Clin Interv Aging
  • 4.7 Drug Des Dev Ther
  • 2.7 Int J Chronic Obstr
  • 6.6 Int J Nanomed
  • 2.5 Int J Women's Health
  • 2.5 Neuropsych Dis Treat
  • 2.7 OncoTargets Ther
  • 2.0 Patient Prefer Adher
  • 2.3 Ther Clin Risk Manag
  • 2.5 J Pain Res
  • 2.8 Diabet Metab Synd Ob
  • 2.8 Psychol Res Behav Ma
  • 3.0 Nat Sci Sleep
  • 1.8 Pharmgenomics Pers Med
  • 2.7 Risk Manag Healthc Policy
  • 4.2 J Inflamm Res
  • 2.1 Int J Gen Med
  • 4.2 J Hepatocell Carcinoma
  • 3.7 J Asthma Allergy
  • 1.9 Clin Cosmet Investig Dermatol
  • 2.7 J Multidiscip Healthc



更多详情 >>





已发表论文

关键微 RNA (microRNAs) 表达谱和甲状腺乳突癌靶点：癌症基因组图谱分析

 

Authors Cong D, He MZ, Chen SL, Liu XL, Liu XD, Sun H
Received 31 March 2015
Accepted for publication 11 June 2015
Published 26 August 2015 Volume 2015:8 Pages 2271—2277
DOI http://dx.doi.org/10.2147/OTT.S85753
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 5
Editor who approved publication:  Professor Daniele Santini

Abstract: In the present study, we analyzed microRNA (miRNA) and gene expression profiles using 499 papillary thyroid carcinoma (PTC) samples and 58 normal thyroid tissues obtained from The Cancer Genome Atlas database. A pivotal regulatory network of 18 miRNA and 16 targets was identified. Upregulated miRNAs (miR-222, miR-221, miR-146b, miR-181a/b/d, miR-34a, and miR-424) and downregulated miRNAs (miR-9-1, miR-138, miR-363, miR-20b, miR-195, and miR-152) were identified. Among them, the upregulation of miR-424 and downregulation of miR-363, miR-195, and miR-152 were not previously identified. The genes CCNE2 (also known as cyclin E2), E2F1 , RARA , CCND1 (cyclin D1) , RUNX1 , ITGA2 , MET , CDKN1A (p21), and COL4A1 were overexpressed, and AXIN2 , TRAF6 , BCL2 , RARB , HSP90B1 , FGF7 , and PDGFRA were downregulated. Among them, CCNE2 , COL4A1 , TRAF6 , and HSP90B1 were newly identified. Based on receiver operating characteristic curves, several miRNAs (miR-222, miR-221, and miR-34a) and genes (CCND1 and MET  ) were ideal diagnostic indicators, with sensitivities and specificities greater than 90%. The combination of inversely expressed miRNAs and targets improved diagnostic accuracy. In a clinical feature analysis, several miRNAs (miR-34a, miR-424, miR-20b, and miR-152) and genes (CCNE2 , COL4A1 , TRAF6 , and HSP90B1 ) were associated with aggressive clinical features, which have not previously been reported. Our study not only identified a pivotal miRNA regulatory network associated with PTC but also provided evidence that miRNAs and target genes can be used as biomarkers in PTC diagnosis and clinical risk evaluation.
Keywords: thyroid carcinoma, miR-34a, miR-424, miR-20b, miR-152


Download Article[PDF]