整合分析确定 DNA 损伤修复基因特征，用于低级别胶质瘤的预后预测。
Integrative analyses identify a DNA damage repair gene signature for prognosis prediction in lower grade gliomas.
机构信息
Chronic disease laboratory, Shenzhen Center for Chronic Disease Control & Prevention, Shenzhen, Guangdong, PR China.
Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha 410008, Hunan, PR China; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, PR China.
出版信息
Future Oncol. 2020 Mar;16(8):367-382. doi: 10.2217/fon-2019-0764. Epub 2020 Feb 17.
The DNA damage repair (DDR) pathways play important roles for regulating cancer progression and therapeutic response. mutations, well-known prognosis biomarkers for glioma, lead to hypermethylation of tumor cells and affect genes' expression. Whether mutations affect glioma prognosis through influencing the expression of DDR genes remains unclear. A total of 272 DDR genes were selected for differential expression and survival analysis. The identified genes were then utilized to construct the prognosis predicting model. , , and were found differential expressed between mutations carriers and wild-type carriers, and were associated with survival of low grade glioma (LGG) patients. The predicting algorithm can predicts the prognosis of LGG patients. mutations may affect LGG prognosis through regulation of DDR pathways.
DNA 损伤修复 (DDR) 途径在调节癌症进展和治疗反应方面发挥着重要作用。 突变是胶质母细胞瘤的著名预后生物标志物，导致肿瘤细胞的过度甲基化，并影响基因的表达。 突变是否通过影响 DDR 基因的表达来影响胶质母细胞瘤的预后尚不清楚。 总共选择了 272 个 DDR 基因进行差异表达和生存分析。然后利用鉴定出的基因构建预后预测模型。在 突变携带者和野生型携带者之间， 、 、 和 存在差异表达，与低级别胶质瘤 (LGG) 患者的生存相关。该预测算法可以预测 LGG 患者的预后。 突变可能通过调节 DDR 途径影响 LGG 的预后。
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