Although major advances have been reported in the last decade in the treatment of late-stage cancer with targeted and immune-based therapies, there is a crucial unmet need to develop new approaches to improve the prevention and early detection of cancer. Advances in genomics and computational biology offer unprecedented opportunities to understand the earliest molecular events associated with carcinogenesis, enabling novel strategies to intercept the development of invasive cancers. This Series paper will highlight emerging big data genomic approaches with the potential to accelerate advances in cancer prevention, screening, and early detection across various tumour types, and the challenges inherent in the development of these tools for clinical use. Through coordinated multicentre consortia, these genomic approaches are likely to transform the landscape of cancer interception in the coming years.

中文翻译：

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加快癌症拦截的基因组方法。

尽管在过去十年中已经报道了以靶向和基于免疫的疗法治疗晚期癌症的重大进展，但仍存在开发新方法以改善癌症预防和早期检测的关键未满足需求。基因组学和计算生物学的进步提供了前所未有的机会来了解与致癌作用有关的最早的分子事件，从而能够采取新颖的策略来拦截侵袭性癌症的发展。本系列文章将重点介绍新兴的大数据基因组方法，这些方法有可能加速跨各种肿瘤类型的癌症预防，筛查和早期检测的进展，以及开发这些用于临床的工具所固有的挑战。通过多中心协调的财团，