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从 10 万基因组癌症计划中 13880 个肿瘤的基因组和临床数据集成中获得的精准肿瘤学见解。

Insights for precision oncology from the integration of genomic and clinical data of 13,880 tumors from the 100,000 Genomes Cancer Programme.

机构信息

Genomics England, London, UK.

School of Life Sciences, University of Westminster, London, UK.

出版信息

Nat Med. 2024 Jan;30(1):279-289. doi: 10.1038/s41591-023-02682-0. Epub 2024 Jan 11.

DOI:10.1038/s41591-023-02682-0
PMID:38200255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10803271/
Abstract

The Cancer Programme of the 100,000 Genomes Project was an initiative to provide whole-genome sequencing (WGS) for patients with cancer, evaluating opportunities for precision cancer care within the UK National Healthcare System (NHS). Genomics England, alongside NHS England, analyzed WGS data from 13,880 solid tumors spanning 33 cancer types, integrating genomic data with real-world treatment and outcome data, within a secure Research Environment. Incidence of somatic mutations in genes recommended for standard-of-care testing varied across cancer types. For instance, in glioblastoma multiforme, small variants were present in 94% of cases and copy number aberrations in at least one gene in 58% of cases, while sarcoma demonstrated the highest occurrence of actionable structural variants (13%). Homologous recombination deficiency was identified in 40% of high-grade serous ovarian cancer cases with 30% linked to pathogenic germline variants, highlighting the value of combined somatic and germline analysis. The linkage of WGS and longitudinal life course clinical data allowed the assessment of treatment outcomes for patients stratified according to pangenomic markers. Our findings demonstrate the utility of linking genomic and real-world clinical data to enable survival analysis to identify cancer genes that affect prognosis and advance our understanding of how cancer genomics impacts patient outcomes.

摘要

英国 10 万基因组计划癌症项目是一项为癌症患者提供全基因组测序(WGS)的计划,旨在评估英国国家医疗服务体系(NHS)内精准癌症护理的机会。英国基因组学公司与英格兰国民保健署一起,在安全的研究环境中,分析了来自 33 种癌症类型的 13880 个实体肿瘤的 WGS 数据,将基因组数据与真实世界的治疗和结果数据相结合。在推荐用于标准护理检测的基因中,体细胞突变的发生率因癌症类型而异。例如,在多形性胶质母细胞瘤中,94%的病例存在小变异,58%的病例至少有一个基因存在拷贝数异常,而肉瘤则显示出最高比例的可操作结构变异(13%)。同源重组缺陷在 40%的高级别浆液性卵巢癌病例中被发现,其中 30%与致病性种系变异有关,这突出了联合体细胞和种系分析的价值。WGS 和纵向生命过程临床数据的关联允许根据泛基因组标志物对患者进行治疗结果评估。我们的研究结果表明,将基因组和真实世界临床数据联系起来的实用性,以进行生存分析来识别影响预后的癌症基因,并加深我们对癌症基因组学如何影响患者结局的理解。

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