Reproducibility, performance, and clinical utility of a genetic risk prediction model for prostate cancer in Japanese.
Reproducibility, performance, and clinical utility of a genetic risk prediction model for prostate cancer in Japanese.
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DOI：
10.1371/journal.pone.0046454
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Nakagawa H
中科院分区：
文献类型：
--
作者：
Akamatsu S;Takahashi A;Takata R;Kubo M;Inoue T;Morizono T;Tsunoda T;Kamatani N;Haiman CA;Wan P;Chen GK;Le Marchand L;Kolonel LN;Henderson BE;Fujioka T;Habuchi T;Nakamura Y;Ogawa O;Nakagawa H
前列腺特异性抗原(PSA)被广泛用作前列腺癌(PC)的生物标志物。然而，由于其较低的预测性能，许多没有PC的患者遭受着不必要的前列腺针活检的危害。本研究旨在评估日本遗传风险预测模型的重复性和性能，并评估其作为临床诊断生物标记物的价值。在对689例日本人和749名男性对照进行的全基因组关联研究中，我们建立了包含16个与PC显著相关的SNP的Logistic回归模型。该模型通过两组独立的日本样本进行了验证，其中包括3294例病例和6281名男性对照。对于用于创建模型的样本和用于验证的样本，模型的曲线下面积(AuC)分别为0.679、0.655和0.661。PSA浓度为1~10 ng/ml的患者AUC无明显变化，模型中有24.2%和9.7%的患者存在优势比<；0.5(低危)或>；2(高危)。假设前列腺针活检的总阳性率为20%，那么低遗传风险组和高遗传风险组的阳性活检率分别为10.7%和42.4%。我们的PC遗传风险预测模型具有高度的重复性，其预测性能不受PSA的影响。当该模型应用于患有灰色地带PSA的患者时，可能会对临床决策产生潜在的影响，这一点应该在未来的临床研究中得到证实。
Prostate specific antigen (PSA) is widely used as a diagnostic biomarker for prostate cancer (PC). However, due to its low predictive performance, many patients without PC suffer from the harms of unnecessary prostate needle biopsies. The present study aims to evaluate the reproducibility and performance of a genetic risk prediction model in Japanese and estimate its utility as a diagnostic biomarker in a clinical scenario. We created a logistic regression model incorporating 16 SNPs that were significantly associated with PC in a genome-wide association study of Japanese population using 689 cases and 749 male controls. The model was validated by two independent sets of Japanese samples comprising 3,294 cases and 6,281 male controls. The areas under curve (AUC) of the model were 0.679, 0.655, and 0.661 for the samples used to create the model and those used for validation. The AUCs were not significantly altered in samples with PSA 1–10 ng/ml. 24.2% and 9.7% of the patients had odds ratio <0.5 (low risk) or >2 (high risk) in the model. Assuming the overall positive rate of prostate needle biopsies to be 20%, the positive biopsy rates were 10.7% and 42.4% for the low and high genetic risk groups respectively. Our genetic risk prediction model for PC was highly reproducible, and its predictive performance was not influenced by PSA. The model could have a potential to affect clinical decision when it is applied to patients with gray-zone PSA, which should be confirmed in future clinical studies.
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影响因子：
168.9
作者：
Grönberg, H
通讯作者：
Grönberg, H
多阶段全基因组关联研究确定了七个前列腺癌易感位点
影响因子：
30.8
作者：
通讯作者：
--
影响因子：
30.8
作者：
通讯作者：
--
影响因子：
5
作者：
Batra, Jyotsna;Lose, Felicity;Spurdle, Amanda B.
通讯作者：
Spurdle, Amanda B.
DOI：
10.1111/j.1442-2042.1997.tb00288.x
发表时间：
1997-09-01
期刊：
International journal of urology : official journal of the Japanese Urological Association
影响因子：
--
作者：
Ito, K;Ichinose, Y;Yamanaka, H
通讯作者：
Yamanaka, H