医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

Identification of ITGA3 as an Oncogene in Human Tongue Cancer via Integrated Bioinformatics Analysis

摘要Human tongue cancer (TC) is an aggressive malignancy with a very poor prognosis.There is an urgent need to elucidate the underlying molecular mechanisms involved in TC progression.mRNA expression profiles play a vital role in the exploration of cancer-related genes.Therefore,the purpose of our study was to identify the progression associated candidate genes of TC by bioinformatics analysis.Five microarray datasets of TC samples were downloaded from the Gene Expression Omnibus (GEO) database and the data of 133 TC patients were screened from The Cancer Genome Atlas (TCGA) head and neck squamous cell carcinoma (HNSC) database.The integrated analysis of five microarray datasets and the RNA sequencing data of TC samples in TCGA-HNSC was performed to obtain 1023 overlapping differentially expressed genes (DEGs) in TC and adjacent normal tissue (ANT) samples.Next,Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was conducted to enrich the significant pathways of the 1023 DEGs and PI3K-Akt signaling pathway (P=0.011) was selected to be the candidate pathway.A total of 23 DEGs with |log2 fold change (FC)| ≥1.0 in phosphatidylinositol 3-kinase-serine/threonine kinase (PI3K-Akt) signaling pathway were subjected to survival analysis of 125 eligible TC samples in TCGA database,indicating increased integrin-α3 gene (ITGA3) expression was significantly associated with poorer prognosis.Taken together,our study suggested ITGA3 may facilitate the development of TC via activating PI3K-Akt signaling pathway.

更多
广告
DOI 10.1007/s11596-018-1935-9
发布时间 2018-10-26(万方平台首次上网日期,不代表论文的发表时间)
提交
  • 浏览28
  • 下载17
华中科技大学学报(医学英德文版)

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷