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Genetic Testing and Clinical Management Practices for Variants in Non-BRCA1/2 Breast (and Breast/Ovarian) Cancer Susceptibility Genes: An International Survey by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Clinical Working Group.非BRCA1/2乳腺癌(及乳腺癌/卵巢癌)易感基因变异的基因检测与临床管理实践:种系突变等位基因解读循证网络(ENIGMA)临床工作组的一项国际调查
JCO Precis Oncol. 2018;2. doi: 10.1200/PO.18.00091. Epub 2018 Oct 26.
2
Population genomic screening of all young adults in a health-care system: a cost-effectiveness analysis.对医疗体系中所有年轻人进行群体基因组筛查:成本效益分析。
Genet Med. 2019 Sep;21(9):1958-1968. doi: 10.1038/s41436-019-0457-6. Epub 2019 Feb 18.
3
Attitude towards and factors affecting uptake of population-based BRCA testing in the Ashkenazi Jewish population: a cohort study.基于人群的 BRCA 检测在阿什肯纳兹犹太人群体中的接受态度和影响因素:一项队列研究。
BJOG. 2019 May;126(6):784-794. doi: 10.1111/1471-0528.15654. Epub 2019 Mar 18.
4
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.BOADICEA:一种综合乳腺癌风险预测模型,纳入了遗传和非遗传风险因素。
Genet Med. 2019 Aug;21(8):1708-1718. doi: 10.1038/s41436-018-0406-9. Epub 2019 Jan 15.
5
Recontacting patients in clinical genetics services: recommendations of the European Society of Human Genetics.临床遗传学服务中患者的再联系:欧洲人类遗传学会的建议。
Eur J Hum Genet. 2019 Feb;27(2):169-182. doi: 10.1038/s41431-018-0285-1. Epub 2018 Oct 11.
6
Psychosocial and behavioral outcomes of genomic testing in cancer: a systematic review.癌症基因检测的心理社会和行为结果:系统评价。
Eur J Hum Genet. 2019 Jan;27(1):28-35. doi: 10.1038/s41431-018-0257-5. Epub 2018 Sep 11.
7
Cancer genetics, precision prevention and a call to action.癌症遗传学、精准预防与行动呼吁。
Nat Genet. 2018 Sep;50(9):1212-1218. doi: 10.1038/s41588-018-0202-0. Epub 2018 Aug 29.
8
Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table Model.基于生命表模型的乳腺癌风险分层筛查的成本效益和获益-危害比分析。
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The personal and clinical utility of polygenic risk scores.多基因风险评分的个体和临床效用。
Nat Rev Genet. 2018 Sep;19(9):581-590. doi: 10.1038/s41576-018-0018-x.
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Consolidated principles for screening based on a systematic review and consensus process.基于系统评价和共识过程的综合筛选原则。
CMAJ. 2018 Apr 9;190(14):E422-E429. doi: 10.1503/cmaj.171154.

评估基因组学融入癌症筛查项目:挑战与机遇

Evaluating the Integration of Genomics into Cancer Screening Programmes: Challenges and Opportunities.

作者信息

Briggs Sarah, Slade Ingrid

机构信息

1Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN UK.

2Wellcome Centre for Ethics and Humanities and Ethox Centre, Nuffield Department of Population Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Oxford, OX3 7LF UK.

出版信息

Curr Genet Med Rep. 2019;7(2):63-74. doi: 10.1007/s40142-019-00162-x. Epub 2019 May 18.

DOI:10.1007/s40142-019-00162-x
PMID:32117599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7019642/
Abstract

PURPOSE OF REVIEW

As the costs of genomic testing have fallen, and our understanding of genetic susceptibility to cancers has grown, there has been increasing interest in incorporating testing for cancer susceptibility genes, and polygenic risk estimates, into population cancer screening. A growing body of evidence suggests that this would be both clinically and cost-effective. In this article, we aim to explore the frameworks used to evaluate screening programmes, evaluate whether population screening for cancer susceptibility can be assessed using these standards, and consider additional issues and outcomes of importance in this context.

RECENT FINDINGS

There are tensions between traditional approaches of genetic testing (utilising tests with high sensitivity and specificity) and the principles of population screening (in which the screening test typically has low specificity), as well as the frameworks used to evaluate the two. Despite the existence of many screening guidelines, including consensus papers, these often do not align fully with broader considerations of genetic test evaluation. Population screening for genetic risk in cancer shifts the focus from diagnostics to prognostication and has wider implications for personal and familial health than existing screening programmes. In addition, understanding of the prevalence and penetrance of cancer susceptibility genes, required by many screening guidelines, may only be obtainable through population-level testing; prospective multi-disciplinary research alongside implementation will be essential.

SUMMARY

Appropriate evaluation of genetic screening for cancer risk will require modification of existing screening frameworks to incorporate additional complexity of outcomes and population values. As evidence supporting population screening for cancer susceptibility mounts, development of an appropriate evaluative framework, and expansion of public dialogue will be key to informing policy.

摘要

综述目的:随着基因检测成本的下降,以及我们对癌症遗传易感性的认识不断提高,将癌症易感基因检测和多基因风险评估纳入人群癌症筛查的兴趣日益浓厚。越来越多的证据表明,这在临床和成本效益方面都将是可行的。在本文中,我们旨在探讨用于评估筛查项目的框架,评估是否可以使用这些标准对人群癌症易感性筛查进行评估,并考虑在此背景下其他重要的问题和结果。

最新发现:基因检测的传统方法(使用具有高灵敏度和特异性的检测)与人群筛查原则(其中筛查检测通常具有低特异性)之间存在矛盾,用于评估两者的框架也存在矛盾。尽管存在许多筛查指南,包括共识文件,但这些指南往往与基因检测评估的更广泛考虑因素不完全一致。人群癌症遗传风险筛查将重点从诊断转向预后,对个人和家庭健康的影响比现有筛查项目更广泛。此外,许多筛查指南要求了解癌症易感基因的患病率和外显率,这可能只能通过人群层面的检测获得;前瞻性多学科研究与实施将至关重要。

总结:对癌症风险基因筛查进行适当评估将需要修改现有的筛查框架,以纳入结果和人群价值观的额外复杂性。随着支持人群癌症易感性筛查的证据不断增加,制定适当的评估框架和扩大公众对话将是为政策提供信息的关键。