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From 'omics' to complex disease: a systems biology approach to gene-environment interactions in cancer

机译:从“组学”到复杂疾病:癌症中基因与环境相互作用的系统生物学方法

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Background Cancer is a complex disease that involves a sequence of gene-environment interactions in a progressive process that cannot occur without dysfunction in multiple systems, including DNA repair, apoptotic and immune functions. Epigenetic mechanisms, responding to numerous internal and external cues in a dynamic ongoing exchange, play a key role in mediating environmental influences on gene expression and tumor development. Hypothesis The hypothesis put forth in this paper addresses the limited success of treatment outcomes in clinical oncology. It states that improvement in treatment efficacy requires a new paradigm that focuses on reversing systemic dysfunction and tailoring treatments to specific stages in the process. It requires moving from a reductionist framework of seeking to destroy aberrant cells and pathways to a transdisciplinary systems biology approach aimed at reversing multiple levels of dysfunction. Conclusion Because there are many biological pathways and multiple epigenetic influences working simultaneously in the expression of cancer phenotypes, studying individual components in isolation does not allow an adequate understanding of phenotypic expression. A systems biology approach using new modeling techniques and nonlinear mathematics is needed to investigate gene-environment interactions and improve treatment efficacy. A broader array of study designs will also be required, including prospective molecular epidemiology, immune competent animal models and in vitro/in vivo translational research that more accurately reflects the complex process of tumor initiation and progression.
机译:背景技术癌症是一种复杂的疾病,它涉及一系列基因与环境的相互作用,这种过程在没有多个系统功能异常的情况下就不会发生,包括DNA修复,凋亡和免疫功能。表观遗传机制在动态不断的交换中响应众多内部和外部线索,在介导环境对基因表达和肿瘤发展的影响中起着关键作用。假说本文提出的假说解决了临床肿瘤学中治疗结果的有限成功。它指出,要提高治疗效果,就需要一种新的范式,其重点是逆转全身功能障碍,并根据过程中的特定阶段调整治疗方案。它要求从寻求消灭异常细胞和途径的还原论框架转变为旨在逆转多种功能障碍的跨学科系统生物学方法。结论由于癌症表型的表达同时存在许多生物学途径和多种表观遗传学影响,因此单独研究各个成分并不能充分理解表型的表达。需要使用新的建模技术和非线性数学的系统生物学方法来研究基因与环境的相互作用并提高治疗效果。还需要更广泛的研究设计,包括前瞻性分子流行病学,具有免疫能力的动物模型以及能够更准确地反映肿瘤起始和进展的复杂过程的体外/体内转化研究。

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