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Conquering the challenges of genotypic and phenotypic tumor heterogeneity to realize the promise of personalized cancer therapy: the role of academia

机译:克服基因型和表型肿瘤异质性的挑战实现个性化癌症治疗的希望:学术界的作用

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摘要

The advent of rapid and progressively more affordable sequencing and gene expression studies have spurred research on therapies for cancer targeted to specific gene alterations. With few exceptions, such as those cancers with either a paucity of mutations or major chromosomal rearrangements driving the neoplastic transformation, the approaches based on one mutational target-one drug have achieved only modest outcomes in cancer. Using the paradigm of aggressive breast cancers, we will show the mathematical explanation that predicts our failures and indicates a plausible way forward. An integrated network modeling approach to intracellular signaling, metabolism, and microenvironment interactions, coupled with the use of synthetic devices engineered to understand phenotypic heterogeneity of cancer lesions, may form the basis for selection of the next-generation of personalized therapies for cancer. Academia can play a larger role in bringing effective drugs to first-in-human trials in this context.
机译:快速和逐步更实惠的测序和基因表达研究的出现刺激了针对针对特定基因改变的癌症治疗方法的研究。除少数例外,例如那些突变少或主要染色体重排驱动肿瘤转化的癌症,基于一种突变靶标-一种药物的方法在癌症中仅取得了中等程度的结果。使用侵略性乳腺癌的范例,我们将展示数学上的解释,这些数学预测可以预测我们的失败,并指明可行的前进方向。用于细胞内信号传导,代谢和微环境相互作用的集成网络建模方法,再加上设计用于理解癌症病灶表型异质性的合成装置的使用,可能构成选择下一代个性化癌症疗法的基础。在这种情况下,学术界在将有效药物用于人为试验中可以发挥更大的作用。

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