Oncogenic pathway signatures in human cancers as a guide to targeted therapies

癌症研究 生物途径 表型 癌症 信号转导 生物 微阵列分析技术 基因表达调控 基因表达谱 计算生物学 微阵列 基因签名 基因 生物信息学 基因表达 遗传学
作者
Andrea Bild,Guang Yao,Jeffrey T. Chang,Quanli Wang,Anil Potti,Dawn Chasse,Mary Beth Joshi,David Harpole,Johnathan M. Lancaster,Andrew Berchuck,John A. Olson,Jeffrey R. Marks,Holly K. Dressman,Mike West,Joseph R. Nevins
出处
期刊:Nature [Springer Nature]
卷期号:439 (7074): 353-357 被引量:1832
标识
DOI:10.1038/nature04296
摘要

The development of an oncogenic state is a complex process involving the accumulation of multiple independent mutations that lead to deregulation of cell signalling pathways central to the control of cell growth and cell fate. The ability to define cancer subtypes, recurrence of disease and response to specific therapies using DNA microarray-based gene expression signatures has been demonstrated in multiple studies. Various studies have also demonstrated the potential for using gene expression profiles for the analysis of oncogenic pathways. Here we show that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways. When evaluated in several large collections of human cancers, these gene expression signatures identify patterns of pathway deregulation in tumours and clinically relevant associations with disease outcomes. Combining signature-based predictions across several pathways identifies coordinated patterns of pathway deregulation that distinguish between specific cancers and tumour subtypes. Clustering tumours based on pathway signatures further defines prognosis in respective patient subsets, demonstrating that patterns of oncogenic pathway deregulation underlie the development of the oncogenic phenotype and reflect the biology and outcome of specific cancers. Predictions of pathway deregulation in cancer cell lines are also shown to predict the sensitivity to therapeutic agents that target components of the pathway. Linking pathway deregulation with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogenic pathway signatures to guide the use of targeted therapeutics.
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