Minion Lindsey E, Dolinsky Jill S, Chase Dana M, Dunlop Charles L, Chao Elizabeth C, Monk Bradley J
Dignity Health St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, CA, United States.
Gynecol Oncol. 2015 Apr;137(1):86-92. doi: 10.1016/j.ygyno.2015.01.537. Epub 2015 Jan 23.
Genetic predisposition to ovarian cancer is well documented. With the advent of next generation sequencing, hereditary panel testing provides an efficient method for evaluating multiple genes simultaneously. Therefore, we sought to investigate the contribution of 19 genes identified in the literature as increasing the risk of hereditary breast and ovarian cancer (HBOC) in a BRCA1 and BRCA2 negative population of patients with a personal history of breast and/or ovarian cancer by means of a hereditary cancer panel.
Subjects were referred for multi-gene panel testing between February 2012 and March 2014. Clinical data was ascertained from requisition forms. The incidence of pathogenic mutations (including likely pathogenic), and variant of unknown significance were then calculated for each gene and/or patient cohort.
In this cohort of 911 subjects, panel testing identified 67 mutations. With 7.4% of subjects harboring a mutation on this multi-gene panel, the diagnostic yield was increased, compared to testing for BRCA1 and BRCA2 mutations alone. In the ovarian cancer probands, the most frequently mutated genes were BRIP1 (n=8; 1.72%) and MSH6 (n=6; 1.29%). In the breast cancer probands, mutations were most commonly observed in CHEK2 (n=9; 2.54%), ATM (n=3; 0.85%), and TP53 (n=3; 0.85%).
Although further studies are needed to clarify the exact management of patients with a mutation in each gene, this study highlights information that can be captured with panel testing and provides support for incorporation of panel testing into clinical practice.
卵巢癌的遗传易感性已有充分文献记载。随着新一代测序技术的出现,遗传性基因检测面板提供了一种同时评估多个基因的有效方法。因此,我们试图通过遗传性癌症检测面板,研究在有乳腺癌和/或卵巢癌个人病史的BRCA1和BRCA2阴性患者群体中,文献中确定的19个增加遗传性乳腺癌和卵巢癌(HBOC)风险的基因的作用。
2012年2月至2014年3月期间,受试者被转诊进行多基因检测面板检测。临床数据从申请表中确定。然后计算每个基因和/或患者队列中致病突变(包括可能致病的突变)和意义未明变异的发生率。
在这911名受试者的队列中,检测面板鉴定出67个突变。该多基因检测面板上有7.4%的受试者携带突变,与单独检测BRCA1和BRCA2突变相比,诊断率有所提高。在卵巢癌先证者中,最常发生突变的基因是BRIP1(n = 8;1.72%)和MSH6(n = 6;1.29%)。在乳腺癌先证者中,最常见的突变发生在CHEK2(n = 9;2.54%)、ATM(n = 3;0.85%)和TP53(n = 3;0.85%)。
虽然需要进一步研究以明确每个基因突变患者的确切管理,但本研究突出了检测面板检测所能获取的信息,并为将检测面板检测纳入临床实践提供了支持。