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Approaches to modernize the combination drug development paradigm

机译:现代化组合药物开发范例的方法

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摘要

Recent advances in genomic sequencing and omics-based capabilities are uncovering tremendous therapeutic opportunities and rapidly transforming the field of cancer medicine. Molecularly targeted agents aim to exploit key tumor-specific vulnerabilities such as oncogenic or non-oncogenic addiction and synthetic lethality. Additionally, immunotherapies targeting the host immune system are proving to be another promising and complementary approach. Owing to substantial tumor genomic and immunologic complexities, combination strategies are likely to be required to adequately disrupt intricate molecular interactions and provide meaningful long-term benefit to patients. To optimize the therapeutic success and application of combination therapies, systematic scientific discovery will need to be coupled with novel and efficient clinical trial approaches. Indeed, a paradigm shift is required to drive precision medicine forward, from the traditional “drug-centric” model of clinical development in pursuit of small incremental benefits in large heterogeneous groups of patients, to a “strategy-centric” model to provide customized transformative treatments in molecularly stratified subsets of patients or even in individual patients. Crucially, to combat the numerous challenges facing combination drug development—including our growing but incomplete understanding of tumor biology, technical and informatics limitations, and escalating financial costs—aligned goals and multidisciplinary collaboration are imperative to collectively harness knowledge and fuel continual innovation.
机译:基因组测序和基于组学功能的最新进展正在发现巨大的治疗机会,并正在迅速改变癌症医学领域。分子靶向药物旨在开发关键的肿瘤特异性脆弱性,例如致癌或非致癌成瘾和合成杀伤力。另外,针对宿主免疫系统的免疫疗法被证明是另一种有前途的补充方法。由于大量的肿瘤基因组和免疫学复杂性,可能需要组合策略来充分破坏复杂的分子相互作用并为患者提供有意义的长期利益。为了优化治疗成功和联合疗法的应用,系统的科学发现将需要与新颖有效的临床试验方法相结合。确实,需要进行范式转换以推动精密医学的发展,从传统的“以药物为中心”的临床开发模型在大型异质性患者群体中追求小的增量收益,到“以策略为中心的”模型来提供定制化的变革在患者的分子分层子集中甚至在个别患者中进行治疗。至关重要的是,为了应对联合药物开发面临的众多挑战(包括我们对肿瘤生物学,技术和信息学的局限性的日益增长但不完全的理解,以及不断攀升的财务成本),必须统一目标和多学科合作才能共同利用知识并推动持续创新。

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