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Clinical Implications of Incorporating Genetic and Non-Genetic Risk Factors in CanRisk-based Breast Cancer Risk Prediction

BREAST(2024)

Univ Hosp Cologne | Inst Curie | Ctr Leon Berard | Leiden Univ | Netherlands Canc Inst | Univ PSL

Cited 2|Views38
Abstract
Background: Breast cancer (BC) risk prediction models consider cancer family history (FH) and germline pathogenic variants (PVs) in risk genes. It remains elusive to what extent complementation with polygenic risk score (PRS) and non-genetic risk factor (NGRFs) data affects individual intensified breast surveillance (IBS) recommendations according to European guidelines. Methods: For 425 cancer-free women with cancer FH (mean age 40·6 years, range 21–74), recruited in France, Germany and the Netherlands, germline PV status, NGRFs, and a 306 variant-based PRS (PRS306) were assessed to calculate estimated lifetime risks (eLTR) and estimated 10-year risks (e10YR) using CanRisk. The proportions of women changing country-specific European risk categories for IBS recommendations, i.e. ≥20 % and ≥30 % eLTR, or ≥5 % e10YR were determined. Findings: Of the women with non-informative PV status, including PRS306 and NGRFs changed clinical recommendations for 31·0 %, (57/184, 20 % eLTR), 15·8 % (29/184, 30 % eLTR) and 22·4 % (41/183, 5 % e10YR), respectively whereas of the women tested negative for a PV observed in their family, clinical recommendations changed for 16·7 % (25/150), 1·3 % (2/150) and 9·5 % (14/147). No change was observed for 82 women with PVs in high-risk genes (BRCA1/2, PALB2). Combined consideration of eLTRs and e10YRs identified BRCA1/2 PV carriers benefitting from IBS <30 years, and women tested non-informative/negative for whom IBS may be postponed. Interpretation: For women who tested non-informative/negative, PRS and NGRFs have a considerable impact on IBS recommendations. Combined consideration of eLTRs and e10YRs allows personalizing IBS starting age. Funding: Horizon 2020, German Cancer Aid, Federal Ministry of Education and Research, Köln Fortune.
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Breast cancer,Genetic testing,Hereditary breast and ovarian cancer syndrome,Cancer prevention
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要点】:研究探讨了将多基因风险评分和非遗传风险因素整合入CanRisk模型对乳腺癌风险预测的影响,以及这些因素如何改变强化乳腺监测的临床建议。

方法】:通过分析425名有癌症家族史的无癌女性(平均年龄40.6岁)的遗传变异、非遗传风险因素和基于306个变异的多基因风险评分,计算其终身风险和10年风险,进而评估其对欧洲强化乳腺监测推荐的影响。

实验】:在法国、德国和荷兰招募的女性参与者中,实验评估了她们的遗传变异状态、非遗传风险因素和PRS306,使用CanRisk模型计算风险,并确定了改变欧洲特定风险分类的比例。结果显示,加入PRS306和非遗传风险因素后,约31.0%、15.8%和22.4%的女性的临床建议发生改变,而对于家族中检测到阴性遗传变异的女性,这一比例为16.7%、1.3%和9.5%。对于82名高风险基因(BRCA1/2、PALB2)变异携带者,临床建议无变化。实验使用的数据集为招募的425名女性的相关健康和遗传信息。