• 2022年度中国城市健康治理能力评价指数研究结题报告会顺利举行
  • 《社会变迁与中国居民生活质量》英文版在Springer出版
  • 国家卫健委流动人口服务中心徐主任一行来我中心调研
  • 国家社科基金重大项目开题报告暨健康中国专家研讨会会成功举办
  • 我中心主任王培刚研究成果入选《中国社会科学报(英文版)》全版面文章
  • 我中心主任王培刚编著的《多元统计分析与SAS实现》正式出版
学术进展

Large-scale gene expression analysis reveals robust gene signatures for prognosis prediction in lung adenocarcinoma.

点击次数:717 次  更新时间:2021-01-23
Songyang Yiyan,Zhu Wei,Liu Cong,Li Lin-Lin,Hu Wei,Zhou Qun,Zhang Han,Li Wen,Li Dejia*
Large-scale gene expression analysis reveals robust gene signatures for prognosis prediction in lung adenocarcinoma.
PeerJ,2019,7.
DOI:10.7717/peerj.6980
Abstracts
Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. High mortality in LUAD motivates us to stratify the patients into high- and low-risk groups, which is beneficial for the clinicians to design a personalized therapeutic regimen. To robustly predict the risk, we identified a set of robust prognostic gene signatures and critical pathways based on ten gene expression datasets by the meta-analysis-based Cox regression model, 25 of which were selected as predictors of multivariable Cox regression model by MMPC algorithm. Gene set enrichment analysis (GSEA) identified the Aurora-A pathway, the Aurora-B pathway, and the FOXM1 transcription factor network as prognostic pathways in LUAD. Moreover, the three prognostic pathways were also the biological processes of G2-M transition, suggesting that hyperactive G2-M transition in cell cycle was an indicator of poor prognosis in LUAD. The validation in the independent datasets suggested that overall survival differences were observed not only in all LUAD patients, but also in those with a specific TNM stage, gender, and age group. The comprehensive analysis demonstrated that prognostic signatures and the prognostic model by the large-scale gene expression analysis were more robust than models built by single data based gene signatures in LUAD overall survival prediction.

中心简介+查看更多

武汉大学人口与健康研究中心是武汉大学校级学术研究平台,王培刚教授任中心主任,旨在为研究人口与健康【详细】

版权所有:武汉大学人口与健康研究中心  地址:武汉市武昌东湖路115号武汉大学医学部  邮编:430071