Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia.
Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Mol Cancer Res. 2019 May;17(5):1075-1086. doi: 10.1158/1541-7786.MCR-18-0996. Epub 2019 Jan 16.
Lower grade gliomas are invasive brain tumors that are difficult to completely resect neurosurgically. They often recur following resection and progress, resulting in death. Although previous studies have shown that specific germline variants increase the risk of tumor formation, no previous study has screened many germline variants to identify variants predictive of survival in patients with glioma. In this study, we present an approach to identify the small fraction of prognostic germline variants from the pool of over four million variants that we variant called in The Cancer Genome Atlas whole-exome sequencing and RNA sequencing datasets. We identified two germline variants that are predictive of poor patient outcomes by Cox regression, controlling for eleven covariates. rs61757955 is a germline variant found in the 3' UTR of associated with increased signaling, mutations, and 1p/19q codeletion. rs34988193 is a germline variant found in the tumor suppressor gene that causes an amino acid change from lysine to glutamate. This variant was found to be predictive of poor prognosis in two independent lower grade glioma datasets and is predicted to be within the top 0.06% of deleterious mutations across the human genome. The wild-type residue is conserved in all 22 other species with a homologous protein. IMPLICATIONS: This is the first study presenting an approach to screening many germline variants to identify variants predictive of survival and our application of this methodology revealed the germline variants rs61757955 and rs34988193 as being predictive of survival in patients with lower grade glioma.
低级别胶质瘤是侵袭性脑肿瘤,很难通过神经外科手术完全切除。它们在切除后经常复发并进展,导致死亡。尽管先前的研究表明,特定的种系变体增加了肿瘤形成的风险,但以前没有研究筛选过许多种系变体来鉴定预测胶质瘤患者生存的变体。在这项研究中,我们提出了一种从超过四百万个变体中识别预后种系变体的方法,这些变体在癌症基因组图谱全外显子测序和 RNA 测序数据集中进行了变体调用。我们通过 Cox 回归识别了两个与预后不良相关的种系变体,控制了 11 个协变量。rs61757955 是一个种系变体,位于 基因的 3'UTR 中,与 信号增加、 突变和 1p/19q 缺失有关。rs34988193 是一个种系变体,位于肿瘤抑制基因 中,导致从赖氨酸到谷氨酸的氨基酸变化。该变体在两个独立的低级别胶质瘤数据集预测预后不良,并且被预测在人类基因组中所有 22 个具有同源蛋白的物种的 0.06%的有害突变中排名靠前。野生型残基在所有其他 22 个具有同源蛋白的物种中都是保守的。 结论:这是第一项提出筛选许多种系变体以鉴定预测生存的变体的研究,我们应用这种方法揭示了种系变体 rs61757955 和 rs34988193 可预测低级别胶质瘤患者的生存。