Grimm Christina, Fischer Axel, Farrelly Angela M, Kalachand Roshni, Castiglione Roberta, Wasserburger Elena, Hussong Michelle, Schultheis Anne M, Altmüller Janine, Thiele Holger, Reinhardt H Christian, Hauschulz Kai, Hennessy Bryan T, Herwig Ralf, Lienhard Matthias, Buettner Reinhard, Schweiger Michal R
Department of Translational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany.
icoder, Potsdam, Germany.
J Mol Diagn. 2019 Mar;21(2):198-213. doi: 10.1016/j.jmoldx.2018.10.007. Epub 2018 Dec 19.
Current molecular tumor diagnostics encompass panel sequencing to detect mutations, copy number alterations, and rearrangements. However, tumor suppressor genes can also be inactivated by methylation within their promoter region. These epigenetic alterations are so far rarely assessed in the clinical setting. Therefore, we established the AllCap protocol facilitating the combined detection of mutations and DNA methylation at the coding and promoter regions of 342 DNA repair genes in one experiment. We demonstrate the use of the protocol by applying it to ovarian cancer cell lines with different responsiveness to poly(ADP-ribose) polymerase inhibition. BRCA1, ATM, ATR, and EP300 mutations and methylation of the BRCA1 promoter were detected as potential predictors for therapy response. The required amount of input DNA was optimized, and the application to formalin-fixed, paraffin-embedded tissue samples was verified to improve the clinical applicability. Thus, by adding DNA methylation values to panel resequencings, the AllCap assay will add another important level of information to clinical tests and will improve stratification of patients for systemic therapies.
当前的分子肿瘤诊断包括检测突变、拷贝数改变和重排的基因panel测序。然而,肿瘤抑制基因也可因其启动子区域内的甲基化而失活。到目前为止,这些表观遗传改变在临床环境中很少被评估。因此,我们建立了AllCap方案,便于在一次实验中联合检测342个DNA修复基因的编码区和启动子区的突变和DNA甲基化。我们通过将该方案应用于对聚(ADP - 核糖)聚合酶抑制具有不同反应性的卵巢癌细胞系来证明其用途。检测到BRCA1、ATM、ATR和EP300突变以及BRCA1启动子的甲基化作为治疗反应的潜在预测指标。优化了所需的输入DNA量,并验证了其在福尔马林固定、石蜡包埋组织样本中的应用,以提高临床适用性。因此,通过将DNA甲基化值添加到基因panel重测序中,AllCap检测将为临床检测增加另一个重要的信息层面,并将改善患者全身治疗的分层。