Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types.
作者: Manfred BeleutRobert SoeldnerMark EgorovRolf GuentherSilvia DehlerCorinna Morys-WortmannHolger MochKarsten HencoPeter Schraml
刊名: PLoS ONE, 2017, Vol.11 (8)
来源数据库: Directory of Open Access Journals
DOI: 10.1371/journal.pone.0161514
原始语种摘要: Despite the individually different molecular alterations in tumors, the malignancy associated biological traits are strikingly similar. Results of a previous study using renal cell carcinoma (RCC) as a model pointed towards cancer-related features, which could be visualized as three groups by microarray based gene expression analysis. In this study, we used a mathematic model to verify the presence of these groups in RCC as well as in other cancer types. We developed an algorithm for gene-expression deviation profiling for analyzing gene expression data of a total of 8397 patients with 13 different cancer types and normal tissues. We revealed three common Cancer Transcriptomic Profiles (CTPs) which recurred in all investigated tumors. Additionally, CTPs remained robust regardless of the...
全文获取路径: DOAJ  (合作)
影响因子:3.73 (2012)

  • expression 表示
  • numbers 数目
  • genetic 遗传的
  • related 有关的
  • common 普通
  • biological 生物学的
  • represent 代表
  • regardless 不顾
  • closely 精密地
  • RCC Readiness Condition Coder