Cancer genomic data systems in precision oncology: from integration to clinical implementation.

IF 11.2 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2026-10-01 Epub Date: 2026-09-25 DOI:10.1016/j.ebiom.2026.106480
David Torrents, Oliver Hofmann, Karen Ann Cranston, Raffaella Casolino, Andrew V Biankin, Andrés F Cardona, Robert L Grossman, Amber Johns, Mark Lawler, Kjong-Van Lehmann, Raquel Manzano Garcia, Nicola Mulder, Travis Osterman, Timothy Rebbeck, Solomon Rotimi, Zbyslaw Sondka, Shawn Sweeney, Samuel Volchenboum, Alex Wagner, Jianmin Wu, Takayuki Yoshino, Mélanie Courtot, Lincoln Stein
{"title":"Cancer genomic data systems in precision oncology: from integration to clinical implementation.","authors":"David Torrents, Oliver Hofmann, Karen Ann Cranston, Raffaella Casolino, Andrew V Biankin, Andrés F Cardona, Robert L Grossman, Amber Johns, Mark Lawler, Kjong-Van Lehmann, Raquel Manzano Garcia, Nicola Mulder, Travis Osterman, Timothy Rebbeck, Solomon Rotimi, Zbyslaw Sondka, Shawn Sweeney, Samuel Volchenboum, Alex Wagner, Jianmin Wu, Takayuki Yoshino, Mélanie Courtot, Lincoln Stein","doi":"10.1016/j.ebiom.2026.106480","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer genomic data sharing is a core pillar of precision oncology, underpinning reproducibility, scalability, and equity. The ability to discover, access, integrate, interpret, and reuse cancer 'omics data is a key determinant of precision oncology's value and benefit at scale. This work has been conducted as part of The Lancet Oncology Commission on Cancer Genomics and Precision Oncology to examine the practical data architecture required to support cancer genomics in research, clinical care, and health-system learning. We conclude that without robust data stewardship, including effective data sharing and global integration, the potential of cancer genomics will remain fragmented across projects, platforms, and jurisdictions. This disaggregation limits reproducibility, equity, patient benefit, and societal value. Healthcare systems must prioritise implementing fully efficient data ecosystems as a central challenge for precision oncology.</p>","PeriodicalId":11494,"journal":{"name":"EBioMedicine","volume":" ","pages":"106480"},"PeriodicalIF":11.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13688039/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EBioMedicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ebiom.2026.106480","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Cancer genomic data sharing is a core pillar of precision oncology, underpinning reproducibility, scalability, and equity. The ability to discover, access, integrate, interpret, and reuse cancer 'omics data is a key determinant of precision oncology's value and benefit at scale. This work has been conducted as part of The Lancet Oncology Commission on Cancer Genomics and Precision Oncology to examine the practical data architecture required to support cancer genomics in research, clinical care, and health-system learning. We conclude that without robust data stewardship, including effective data sharing and global integration, the potential of cancer genomics will remain fragmented across projects, platforms, and jurisdictions. This disaggregation limits reproducibility, equity, patient benefit, and societal value. Healthcare systems must prioritise implementing fully efficient data ecosystems as a central challenge for precision oncology.

精准肿瘤学中的癌症基因组数据系统:从整合到临床实施。
癌症基因组数据共享是精准肿瘤学的核心支柱,是可重复性、可扩展性和公平性的基础。发现、访问、整合、解释和重用癌症组学数据的能力是精准肿瘤学价值和大规模效益的关键决定因素。这项工作是《柳叶刀》肿瘤学委员会癌症基因组学和精确肿瘤学的一部分,目的是检查在研究、临床护理和卫生系统学习中支持癌症基因组学所需的实际数据架构。我们的结论是,如果没有强有力的数据管理,包括有效的数据共享和全球整合,癌症基因组学的潜力将仍然分散在各个项目、平台和司法管辖区。这种分解限制了可重复性、公平性、患者利益和社会价值。医疗保健系统必须优先实施完全高效的数据生态系统,作为精准肿瘤学的核心挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书