Combining 33 genetic variants with prostate-specific antigen for prediction of prostate cancer: longitudinal study
Combining 33 genetic variants with prostate-specific antigen for prediction of prostate cancer: longitudinal study
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DOI：
10.1002/ijc.25986
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发表时间：
2012-01-01
影响因子：
6.4
通讯作者：
Stattin, Par
中科院分区：
文献类型：
--
作者：
Johansson, Mattias;Holmstrom, Benny;Stattin, Par
本研究的目的是调查包括33种常见遗传变异的遗传风险评分在加入前列腺特异性抗原（PSA）测量时是否能改善前列腺癌的预测。我们在北方瑞典健康与疾病队列（NSHDC）中进行了一项病例对照研究，NSHDC是瑞典北方的一个前瞻性队列。共有520例病例和988例对照年龄匹配，抽血日期通过区域癌症登记和NSHDC之间的联系确定。受试者工作特征曲线和曲线下面积（AUC）估计值被用作前列腺癌预测的指标。遗传风险评分的AUC为64.3% [95%置信区间（CI）= 61.4-67.2]，总PSA和游离PSA/总PSA比值的AUC为86.2%（95% CI = 84.4-88.1）。包括遗传风险评分、总PSA和游离PSA与总PSA比值的模型将AUC增加至87.2%（95% CI = 85.4-89.0，p差异= 0.002）。在PSA中增加遗传风险评分导致前列腺癌预测的边际改善，这似乎对临床风险评估没有用处。
The aim of this study was to investigate if a genetic risk score including 33 common genetic variants improves prediction of prostate cancer when added to measures of prostate-specific antigen (PSA). We conducted a case-control study nested within the Northern Sweden Health and Disease Cohort (NSHDC), a prospective cohort in northern Sweden. A total of 520 cases and 988 controls matched for age, and date of blood draw were identified by linkage between the regional cancer register and the NSHDC. Receiver operating characteristic curves with area under curve (AUC) estimates were used as measures of prostate cancer prediction. The AUC for the genetic risk score was 64.3% [95% confidence interval (CI) = 61.4-67.2], and the AUC for total PSA and the ratio of free to total PSA was 86.2% (95% CI = 84.4-88.1). A model including the genetic risk score, total PSA and the ratio of free to total PSA increased the AUC to 87.2% (95% CI = 85.4-89.0, p difference = 0.002). The addition of a genetic risk score to PSA resulted in a marginal improvement in prostate cancer prediction that would not seem useful for clinical risk assessment.