Lilyquist Jenna, LaDuca Holly, Polley Eric, Davis Brigette Tippin, Shimelis Hermela, Hu Chunling, Hart Steven N, Dolinsky Jill S, Couch Fergus J, Goldgar David E
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, CA, USA.
Gynecol Oncol. 2017 Nov;147(2):375-380. doi: 10.1016/j.ygyno.2017.08.030. Epub 2017 Sep 7.
Given the lack of adequate screening modalities, knowledge of ovarian cancer risks for carriers of pathogenic alterations in predisposition genes is important for decisions about risk-reduction by salpingo-oophorectomy. We sought to determine which genes assayed on multi-gene panels are associated with ovarian cancer, the magnitude of the associations, and for which clinically meaningful associations could be ruled out.
7768 adult ovarian cancer cases of European ancestry referred to a single clinical testing laboratory underwent multi-gene panel testing for detection of pathogenic alterations in known or suspected ovarian cancer susceptibility genes. A targeted capture approach was employed to assay each of 19 genes for the presence of pathogenic or likely pathogenic alterations. Mutation frequencies in ovarian cancer cases were compared to mutation frequencies in individuals from the Exome Aggregation Consortium (ExAC). Analyses stratified by family and personal history of other cancers and age at diagnosis were also performed.
Significant associations (p<0.001) were identified between alterations in 11 genes and ovarian cancer, with eight of these displaying ≥5-fold increased risk (BRCA1, BRCA2, BRIP1, MSH2, MSH6, RAD51C, RAD51D). Relative risks of ovarian cancer greater than two-fold were also observed for ATM, but could reliably be ruled out for RAD50 and CHEK2.
These results will inform clinical management of women found to carry pathogenic alterations in genes tested on multi-gene panels. The knowledge that some genes are not associated with OC can reduce concerns of women found to carry pathogenic alterations in those genes.
鉴于缺乏足够的筛查手段,了解携带易患基因致病性改变的个体患卵巢癌的风险,对于通过输卵管卵巢切除术降低风险的决策非常重要。我们试图确定在多基因检测板上检测的哪些基因与卵巢癌相关,关联的程度如何,以及哪些临床上有意义的关联可以排除。
7768例欧洲血统的成年卵巢癌患者被转诊至单一临床检测实验室,接受多基因检测板检测,以检测已知或疑似卵巢癌易感基因中的致病性改变。采用靶向捕获方法检测19个基因中每个基因是否存在致病性或可能致病性改变。将卵巢癌患者的突变频率与外显子聚合联盟(ExAC)个体的突变频率进行比较。还进行了按其他癌症家族史和个人史以及诊断年龄分层的分析。
在11个基因的改变与卵巢癌之间发现了显著关联(p<0.001),其中8个基因显示风险增加≥5倍(BRCA1、BRCA2、BRIP1、MSH2、MSH6、RAD51C、RAD51D)。ATM基因的卵巢癌相对风险也观察到大于两倍,但RAD50和CHEK2基因的关联可可靠排除。
这些结果将为在多基因检测板上检测出携带致病性基因改变的女性的临床管理提供依据。知道某些基因与卵巢癌无关,可以减轻检测出携带这些基因致病性改变的女性的担忧。