Improved prostate cancer detection with a human kallikrein 11 and percentage free PSA-based artificial neural network.

Abstract

Human kallikrein 11 (hK11) was evaluated in a percentage free PSA-based artificial neural network (ANN) to reduce unnecessary prostate biopsies. Serum samples from 357 patients with (n=132) and without (n=225) prostate cancer (PCa) were analyzed and ANN models were constructed and compared to all parameters. The discriminatory power of hK11 was lower than that of PSA, but receiver operator characteristic (ROC) analyses demonstrated significantly larger areas under the curves for the ANN compared to all other parameters. ANNs with hK11 may lead to a further reduction in unnecessary prostate biopsies, especially when analyzing patients with less than 15% free PSA.

• Authors: Carsten Stephan, Hellmuth-Alexander Meyer, Henning Cammann, Terukazu Nakamura, Eleftherios P Diamandis, Klaus Jung
• Journal: Biological chemistry (Biol Chem) Vol. 387 Issue 6 Pg. 801-5 (Jun 2006) ISSN: 1431-6730 [Print] Germany
• PMID: 16800743 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Biomarkers, Tumor
• trypsin-like serine protease
• Serine Endopeptidases
• Prostate-Specific Antigen

Topics

• Biomarkers, Tumor (blood)
• Humans
• Male
• Neural Networks, Computer
• Prostate-Specific Antigen (blood)
• Prostatic Neoplasms (diagnosis)
• ROC Curve
• Sensitivity and Specificity
• Serine Endopeptidases (blood)