Wang Haiyun, Zheng Xiaoqi, Fei Teng, Wang Jinzeng, Li Xujuan, Liu Yin, Zhang Fan
School of Life Science and Technology, Tongji University, Shanghai, 200092, China,
Clin Transl Med. 2015 Dec;4(1):66. doi: 10.1186/s40169-015-0066-1. Epub 2015 Jul 28.
Genomic heterogeneity in human cancers complicates gene-centric personalized medicine. Malignant tumors often share a core group of pathways that are perturbed by diverse genetic mutations. Therefore, one possible solution to overcome the heterogeneity challenge is a shift from gene-centric to pathway-centric therapies. Pathway-centric perspectives, which underscore the need to understand key pathways and their critical properties, could address the complexity of cancer heterogeneity better than gene-centric approaches to aid cancer drug discovery and therapy.
We used large-scale pharmacogenomic profiling data provided by the Cancer Genome Project of the Wellcome Trust Sanger Institute and the Cancer Cell Line Encyclopedia. In a systematic in silico investigation of ERK signalling pathway components and topological structures determines their influences on pathway activity and targeted therapies. Mann-Whitney U test was used to identify gene alterations associated with drug sensitivity with p values and Benjamini-Hochberg correction for multiple hypotheses testing.
The analysis demonstrated that genetic alterations were crucial to activation of effector pathway and subsequent tumorigenesis, however drug sensitivity suffered from both drug effector and non-effector pathways, which were determined by not only underlying genomic alterations, but also interplay and topological relationship of components in pathway, suggesting that the combinatorial targets of key nodes in perturbed pathways may yield better treatment outcome. Furthermore, we proposed a model to provide a more comprehensive insight and understanding of pathway-centric cancer therapies.
Our study provides a holistic view of factors influencing drug sensitivity and sheds light on pathway-centric cancer therapies.
人类癌症中的基因组异质性使以基因为中心的个性化医疗变得复杂。恶性肿瘤通常共享一组核心通路,这些通路会受到多种基因突变的干扰。因此,克服异质性挑战的一种可能解决方案是从以基因为中心的疗法转向以通路为中心的疗法。以通路为中心的观点强调需要了解关键通路及其关键特性,比以基因为中心的方法能更好地应对癌症异质性的复杂性,有助于癌症药物研发和治疗。
我们使用了由威康信托桑格研究所癌症基因组计划和癌症细胞系百科全书提供的大规模药物基因组学分析数据。在一项对ERK信号通路成分和拓扑结构的系统计算机模拟研究中,确定它们对通路活性和靶向治疗的影响。使用曼-惠特尼U检验来识别与药物敏感性相关的基因改变,并采用p值和本杰明-霍奇伯格校正进行多重假设检验。
分析表明,基因改变对于效应器通路的激活和随后的肿瘤发生至关重要,然而药物敏感性受到药物效应器和非效应器通路的影响,这不仅由潜在的基因组改变决定,还由通路中成分的相互作用和拓扑关系决定,这表明受干扰通路中关键节点的组合靶点可能产生更好的治疗效果。此外,我们提出了一个模型,以提供对以通路为中心的癌症治疗更全面的见解和理解。
我们的研究提供了影响药物敏感性因素的整体观点,并阐明了以通路为中心的癌症治疗方法。