International Agency for Research on Cancer Lyon, France.
Int J Cancer. 2012 Jan 1;130(1):129-37. doi: 10.1002/ijc.25986. Epub 2011 Apr 1.
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.
本研究旨在探讨在加入前列腺特异性抗原（PSA）测量值的情况下，包含 33 个常见遗传变异的遗传风险评分是否能改善前列腺癌的预测。我们在瑞典北部健康与疾病队列（NSHDC）中进行了一项病例对照研究，这是一个在瑞典北部进行的前瞻性队列研究。通过区域癌症登记处与 NSHDC 之间的链接，共确定了 520 例病例和 988 例年龄和采血日期相匹配的对照。使用接收者操作特征曲线和曲线下面积（AUC）估计值作为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 与总 PSA 比值的 AUC 为 86.2%（95% CI = 84.4-88.1）。包含遗传风险评分、总 PSA 和游离 PSA 与总 PSA 比值的模型可将 AUC 提高至 87.2%（95% CI = 85.4-89.0，p 差异=0.002）。将遗传风险评分添加到 PSA 中可略微改善前列腺癌的预测，但似乎对临床风险评估没有太大用处。
