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基于人群的遗传检测用于精准预防。

Population-based Genetic Testing for Precision Prevention.

机构信息

Wolfson Institute of Preventative Medicine, Barts CRUK Cancer Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.

Department of Gynaecological Oncology, St Bartholomew's Hospital, London, United Kingdom.

出版信息

Cancer Prev Res (Phila). 2020 Aug;13(8):643-648. doi: 10.1158/1940-6207.CAPR-20-0002. Epub 2020 May 14.

Abstract

Global interest in genetic testing for cancer susceptibility genes (CSG) has surged with falling costs, increasing awareness, and celebrity endorsement. Current access to genetic testing is based on clinical criteria/risk model assessment which uses family history as a surrogate. However, this approach is fraught with inequality, massive underutilization, and misses 50% CSG carriers. This reflects huge missed opportunities for precision prevention. Early CSG identification enables uptake of risk-reducing strategies in unaffected individuals to reduce cancer risk. Population-based genetic testing (PGT) can overcome limitations of clinical criteria/family history-based testing. Jewish population studies show population-based testing is feasible, acceptable, has high satisfaction, does not harm psychologic well-being/quality of life, and is extremely cost-effective, arguing for changing paradigm to PGT in the Jewish population. Innovative approaches for delivering pretest information/education are needed to facilitate informed decision-making for PGT. Different health systems will need context-specific implementation strategies and management pathways, while maintaining principles of population screening. Data on general population PGT are beginning to emerge, prompting evaluation of wider implementation. Sophisticated risk prediction models incorporating genetic and nongenetic data are being used to stratify populations for ovarian cancer and breast cancer risk and risk-adapted screening/prevention. PGT is potentially cost-effective for panel testing of breast and ovarian CSGs and for risk-adapted breast cancer screening. Further research/implementation studies evaluating the impact, clinical efficacy, psychologic and socio-ethical consequences, and cost-effectiveness of PGT are needed.

摘要

全球对癌症易感性基因(CSG)遗传检测的兴趣随着成本的降低、意识的提高和名人的认可而飙升。目前的遗传检测是基于临床标准/风险模型评估,该评估使用家族史作为替代。然而,这种方法存在不平等、大量未充分利用以及错过 50% CSG 携带者的问题。这反映了精准预防的巨大机会错失。早期 CSG 识别使未受影响的个体能够接受降低风险的策略,从而降低癌症风险。基于人群的遗传检测(PGT)可以克服临床标准/家族史检测的局限性。犹太人的研究表明,基于人群的检测是可行的、可接受的、满意度高的,不会损害心理幸福感/生活质量,并且具有极高的成本效益,这为犹太人改变基于人群的检测模式提供了依据。需要创新的方法来提供检测前信息/教育,以促进知情决策。不同的卫生系统将需要特定于上下文的实施策略和管理途径,同时保持人群筛查的原则。关于一般人群 PGT 的数据开始出现,促使对更广泛的实施进行评估。复杂的风险预测模型结合了遗传和非遗传数据,用于对卵巢癌和乳腺癌风险以及风险适应的筛查/预防进行人群分层。PGT 对于乳腺癌和卵巢 CSG 的面板检测以及风险适应的乳腺癌筛查具有潜在的成本效益。需要进一步研究/实施研究来评估 PGT 的影响、临床疗效、心理和社会伦理后果以及成本效益。

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