Evans D Gareth, Woodward Emma R, Burghel George J, Allen Sophie, Torr Beth, Hamill Monica, Kavanaugh Grace, Hubank Mike, Bremner Stephen, Jones Christopher I, Schlecht Helene, Astley Susan, Bowers Sarah, Gibbons Sarah, Ruane Helen, Fosbury Caroline, Howell Sacha J, Forde Claire, Lalloo Fiona, Newman William G, Smith Miriam J, Howell Anthony, Turnbull Clare, Gandhi Ashu
Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.
Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.
Genet Med Open. 2023 Nov 25;2:100849. doi: 10.1016/j.gimo.2023.100849. eCollection 2024.
To assess the contribution of germline pathogenic variants (PVs) in population-based series of breast cancers and the best strategy to improve detection rates.
Three cohort studies were utilized, including a hospital-based series identified from new UK mainstream testing criteria (group-1), offering testing to all women (group-2-BReast CAncer [BRCA]-DIRECT), and a Greater Manchester cohort study recruited from the mammography screening population (group-3-Predicting Risk of Cancer at Screening). DNA samples from women with breast cancer were sequenced for PVs in , , and Partner and Localiser of BRCA2 (). The Manchester score (MS) was used at different points thresholds. Current mainstream criteria include women diagnosed <40 years and all triple negative <60 years or an MS ≥15.
Thirty-six PVs ( = 9 = 18 = 9) were identified among 1061 women with breast cancer (3.4%). Mainstreaming criteria identified 21 of 36 (58%) of PVs by testing 190 women; detection rate (8.4%), specificity = 83.5%. A better detection rate was found using an MS threshold of 12-points with 66.7% (24/36) sensitivity and 85.7% specificity in 171 women. No PVs were identified in 158 women with grade-1 invasive cancers. The best strategy to detect all PVs was an MS ≥3 with specificity of 32.6%.
In order to detect higher PV rates on a population basis the best strategy is to reduce the MS threshold for genetic testing.
评估种系致病变异(PVs)在基于人群的乳腺癌系列研究中的作用,以及提高检测率的最佳策略。
采用了三项队列研究,包括一项基于医院的系列研究(根据英国新的主流检测标准确定,第1组)、一项对所有女性进行检测的研究(第2组 - 乳腺癌直接检测[BRCA - DIRECT])以及一项从乳腺钼靶筛查人群中招募的大曼彻斯特队列研究(第3组 - 筛查时预测癌症风险)。对乳腺癌女性的DNA样本进行测序,以检测BRCA1、BRCA2及其伴侣和定位蛋白(PALB2)中的PVs。在不同的分值阈值下使用曼彻斯特评分(MS)。当前的主流标准包括年龄小于40岁被诊断为乳腺癌的女性以及所有年龄小于60岁的三阴性乳腺癌患者或MS≥15的患者。
在1061例乳腺癌女性中鉴定出36个PVs(BRCA1 = 9,BRCA2 = 18,PALB2 = 9)(3.4%)。主流标准通过检测190名女性鉴定出36个PVs中的21个(58%);检测率为8.4%,特异性为83.5%。在171名女性中,使用12分的MS阈值发现了更好的检测率,敏感性为66.7%(24/36),特异性为85.7%。在158例1级浸润性癌女性中未鉴定出PVs。检测所有PVs的最佳策略是MS≥3,特异性为32.6%。
为了在人群基础上检测到更高的PV率,最佳策略是降低基因检测的MS阈值。