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Personalized medicine approaches for colon cancer driven by genomics and systems biology: OncoTrack

机译:基因组学和系统生物学驱动的结肠癌个性化医学方法:OncoTrack

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摘要

The post-genomic era promises to pave the way to a personalized understanding of disease processes, with technological and analytical advances helping to solve some of the world's health challenges. Despite extraordinary progress in our understanding of cancer pathogenesis, the disease remains one of the world's major medical problems. New therapies and diagnostic procedures to guide their clinical application are urgently required. OncoTrack, a consortium between industry and academia, supported by the Innovative Medicines Initiative, signifies a new era in personalized medicine, which synthesizes current technological advances in omics techniques, systems biology approaches, and mathematical modeling. A truly personalized molecular imprint of the tumor micro-environment and subsequent diagnostic and therapeutic insight is gained, with the ultimate goal of matching the “right” patient to the “right” drug and identifying predictive biomarkers for clinical application. This comprehensive mapping of the colon cancer molecular landscape in tandem with crucial, clinical functional annotation for systems biology analysis provides unprecedented insight and predictive power for colon cancer management. Overall, we show that major biotechnological developments in tandem with changes in clinical thinking have laid the foundations for the OncoTrack approach and the future clinical application of a truly personalized approach to colon cancer theranostics.
机译:后基因组时代有望通过技术和分析方面的进步帮助解决世界上某些健康挑战,从而为个性化理解疾病过程铺平道路。尽管在我们对癌症发病机理的理解上取得了巨大进步,但该疾病仍然是世界主要的医学问题之一。迫切需要新的疗法和诊断程序来指导其临床应用。由创新医学计划(Innovative Medicines Initiative)支持的行业与学术界联盟OncoTrack标志着个性化医学的新时代,该时代综合了组学技术,系统生物学方法和数学建模方面的最新技术进步。获得了肿瘤微环境的真正个性化分子烙印以及随后的诊断和治疗见识,其最终目标是将“合适的”患者与“合适的”药物相匹配,并确定可预测的生物标志物以用于临床应用。结肠癌分子景观的这种全面映射与系统生物学分析的关键,临床功能注释相结合,为结肠癌管理提供了空前的见识和预测能力。总体而言,我们表明,随着临床思维的变化,主要的生物技术发展已为OncoTrack方法和真正个性化的结肠癌治疗方法学的未来临床应用奠定了基础。

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