文章：

基础和转化癌症研究中的大数据

Big data in basic and translational cancer research

原文发布日期：2022-09-05

DOI: 10.1038/s41568-022-00502-0

类型: Review Article

开放获取: 否

英文摘要：

Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput technologies. This fast data growth has given rise to an evolving concept of ‘big data’ in cancer, whose analysis demands large computational resources and can potentially bring novel insights into essential questions. Indeed, the combination of big data, bioinformatics and artificial intelligence has led to notable advances in our basic understanding of cancer biology and to translational advancements. Further advances will require a concerted effort among data scientists, clinicians, biologists and policymakers. Here, we review the current state of the art and future challenges for harnessing big data to advance cancer research and treatment.

摘要翻译： 

历史上，癌症研究的主要焦点一直集中在少数关键通路和基因的分子与临床研究。近年来，在高通量技术突破的推动下，大规模癌症组学数据快速积累。这种数据的高速增长催生了癌症研究中不断演进的“大数据”概念，其分析需要大规模计算资源，并有可能为关键问题带来新见解。事实上，大数据、生物信息学与人工智能的结合，已推动我们对癌症生物学的基础认知取得显著进展，并促进了转化医学的发展。要进一步取得突破，需要数据科学家、临床医生、生物学家和政策制定者协同努力。本文综述了利用大数据推进癌症研究与治疗的现状与未来挑战。

原文链接：

Big data in basic and translational cancer research