Lange Ethan M, Ribado Jessica V, Zuhlke Kimberly A, Johnson Anna M, Keele Gregory R, Li Jin, Wang Yunfei, Duan Qing, Li Ge, Gao Zhengrong, Li Yun, Xu Jianfeng, Zheng S Lilly, Cooney Kathleen A
Department of Genetics, University of North Carolina, Chapel Hill, North Carolina. Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina. Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.
Department of Genetics, University of North Carolina, Chapel Hill, North Carolina.
Cancer Epidemiol Biomarkers Prev. 2016 May;25(5):766-72. doi: 10.1158/1055-9965.EPI-14-0995. Epub 2015 Dec 15.
We assessed the evidence for association between 23 recently reported prostate cancer variants and early-onset prostate cancer and the aggregate value of 63 prostate cancer variants for predicting early-onset disease using 931 unrelated men diagnosed with prostate cancer prior to age 56 years and 1,126 male controls.
Logistic regression models were used to test the evidence for association between the 23 new variants and early-onset prostate cancer. Weighted and unweighted sums of total risk alleles across these 23 variants and 40 established variants were constructed. Weights were based on previously reported effect size estimates. Receiver operating characteristic curves and forest plots, using defined cut-points, were constructed to assess the predictive value of the burden of risk alleles on early-onset disease.
Ten of the 23 new variants demonstrated evidence (P < 0.05) for association with early-onset prostate cancer, including four that were significant after multiple test correction. The aggregate burden of risk alleles across the 63 variants was predictive of early-onset prostate cancer (AUC = 0.71 using weighted sums), especially in men with a high burden of total risk alleles.
A high burden of risk alleles is strongly associated with early-onset prostate cancer.
Our results provide the first formal replication for several of these 23 new variants and demonstrate that a high burden of common-variant risk alleles is a major risk factor for early-onset prostate cancer. Cancer Epidemiol Biomarkers Prev; 25(5); 766-72. ©2015 AACR.
我们评估了最近报道的23种前列腺癌变异与早发性前列腺癌之间的关联证据,以及63种前列腺癌变异对预测早发性疾病的综合价值,研究对象为931名在56岁之前被诊断为前列腺癌的无亲缘关系男性和1126名男性对照。
采用逻辑回归模型检验这23种新变异与早发性前列腺癌之间的关联证据。构建了这23种变异和40种已确定变异的总风险等位基因的加权和非加权总和。权重基于先前报道的效应大小估计值。使用定义的切点构建了受试者工作特征曲线和森林图,以评估风险等位基因负担对早发性疾病的预测价值。
23种新变异中有10种显示出与早发性前列腺癌相关的证据(P < 0.05),其中4种在多重检验校正后具有显著性。63种变异的总风险等位基因负担可预测早发性前列腺癌(使用加权总和时AUC = 0.71),尤其是在总风险等位基因负担较高的男性中。
高风险等位基因负担与早发性前列腺癌密切相关。
我们的结果为这23种新变异中的几种提供了首次正式验证,并表明常见变异风险等位基因的高负担是早发性前列腺癌的主要风险因素。《癌症流行病学、生物标志物与预防》;25(5);766 - 72。©2015美国癌症研究协会。