Heterogeneous activation of the TGFbeta pathway in glioblastomas identified by gene expression-based classification using TGFbeta-responsive genes

利用TGFβ反应基因,通过基于基因表达的分类方法,鉴定出胶质母细胞瘤中TGFβ通路存在异质性激活。

阅读:1

Abstract

BACKGROUND: TGFbeta has emerged as an attractive target for the therapeutic intervention of glioblastomas. Aberrant TGFbeta overproduction in glioblastoma and other high-grade gliomas has been reported, however, to date, none of these reports has systematically examined the components of TGFbeta signaling to gain a comprehensive view of TGFbeta activation in large cohorts of human glioma patients. METHODS: TGFbeta activation in mammalian cells leads to a transcriptional program that typically affects 5-10% of the genes in the genome. To systematically examine the status of TGFbeta activation in high-grade glial tumors, we compiled a gene set of transcriptional response to TGFbeta stimulation from tissue culture and in vivo animal studies. These genes were used to examine the status of TGFbeta activation in high-grade gliomas including a large cohort of glioblastomas. Unsupervised and supervised classification analysis was performed in two independent, publicly available glioma microarray datasets. RESULTS: Unsupervised and supervised classification using the TGFbeta-responsive gene list in two independent glial tumor gene expression data sets revealed various levels of TGFbeta activation in these tumors. Among glioblastomas, one of the most devastating human cancers, two subgroups were identified that showed distinct TGFbeta activation patterns as measured from transcriptional responses. Approximately 62% of glioblastoma samples analyzed showed strong TGFbeta activation, while the rest showed a weak TGFbeta transcriptional response. CONCLUSION: Our findings suggest heterogeneous TGFbeta activation in glioblastomas, which may cause potential differences in responses to anti-TGFbeta therapies in these two distinct subgroups of glioblastomas patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。