In:
The Prostate, Wiley, Vol. 74, No. 4 ( 2014-04), p. 365-371
Kurzfassung:
Genome‐wide association studies have identified single nucleotide polymorphisms (SNPs) associated with higher risk of prostate cancer (PCa). This study aimed to evaluate whether published SNPs improve the performance of a clinical risk‐calculator in predicting prostate biopsy result. METHODS Three hundred forty‐six patients with a previous prostate biopsy (191 positive, 155 negative) were enrolled. After literature search, nine SNPs were selected for their statistically significant association with increased PCa risk. Allelic odds ratios were computed and a new logistic regression model was built integrating the clinical risk score (i.e., prior biopsy results, PSA level, prostate volume, transrectal ultrasound, and digital rectal examination) and a multilocus genetic risk score (MGRS). Areas under the receiver operating characteristic (ROC) curves (AUC) of the clinical score alone versus the integrated clinic‐genetic model were compared. The added value of the MGRS was assessed using the Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) statistics. RESULTS Predictive performance of the integrated clinico‐genetic model (AUC = 0.781) was slightly higher than predictive performance of the clinical score alone (AUC = 0.770). The prediction of PCa was significantly improved with an IDI of 0.015 ( P ‐value = 0.035) and a continuous NRI of 0.403 ( P ‐value 〈 0.001). CONCLUSIONS The predictive performance of the clinical model was only slightly improved by adding MGRS questioning the real clinical added value with regards to the cost of genetic testing and performance of current inexpensive clinical risk‐calculators. Prostate 74:365–371, 2014 . © 2013 Wiley Periodicals, Inc.
Materialart:
Online-Ressource
ISSN:
0270-4137
,
1097-0045
Sprache:
Englisch
Verlag:
Wiley
Publikationsdatum:
2014
ZDB Id:
1494709-2
