胶质瘤
比例危险模型
危险系数
基因型
内科学
肿瘤科
单变量
多元分析
生存分析
医学
单变量分析
单核苷酸多态性
生物
基因
癌症研究
多元统计
遗传学
置信区间
统计
数学
作者
Mingjun Hu,Jieli Du,Lihong Cui,Tingqin Huang,Xiaoye Guo,Yonglin Zhao,Xudong Ma,Tianbo Jin,Gang Li,Jinning Song
出处
期刊:Oncotarget
[Impact Journals, LLC]
日期:2016-11-02
卷期号:7 (49): 80680-80687
被引量:7
标识
DOI:10.18632/oncotarget.13028
摘要
Interleukin-10 (IL-10) and DNA repair gene PRKDC mutations are implicated in the development of multiple human cancers, including glioma. We investigated associations between IL-10 and PRKDC gene polymorphisms and prognosis in low- and high-grade glioma patients. We analyzed the associations of one IL-10 and one PRKDC single nucleotide polymorphism with patient clinical factors in 481 glioma patients using Cox proportional hazard models and Kaplan-Meier curves. We also assessed associations between patient clinical characteristics and prognosis. Our data showed that the extent of tumor resection (gross-total resection) and application of chemotherapy were associated with improved patient outcomes in all glioma cases. Additionally, univariate (Log-rank p = 0.019) and multivariate Cox regression analyses (p = 0.022) showed that the IL-10 rs1800871 C/T genotype correlates with improved overall survival in cases of low-grade glioma, whereas the PRKDC rs7003908 C/C genotype correlated with reduced overall and progression-free survival in high-grade glioma patients in univariate (Log-rank p = 0.000 and p = 0.000, respectively) and multivariate Cox regression analyses (p = 0.001; p = 0.002, respectively). These results suggest that IL-10 rs1800871 and PRKDC rs7003908 may be useful biomarkers for predicting glioma patient outcome. Further functional studies are needed to evaluate the mechanisms by which these polymorphisms affect glioma progression.
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