Title of article
Detection of prostate cancer using serum proteomics pattern in a histologically confirmed population: Li J, White N, Zhang Z, Rosenzweig J, Mangold LA, Partin AW, Chan DW, Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD. J Urol
Author/Authors
Carroll، نويسنده , , Peter R.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
2
From page
497
To page
498
Abstract
Purpose
rospectively identified a panel of serum proteins that can discriminate between men with prostate cancer (clinically organ confined) and men with benign prostate disease.
als and methods
emporary set of 345 men who had an archival serum sample available were included in this study. The cancer group consisted of 246 men who underwent radical prostatectomy at the Johns Hopkins Hospital between March 1999 and April 2001. The noncancer group included 99 men with no histological evidence of prostate cancer on biopsy between April 1997 and April 2001 at the same institution. Serum proteomics mass spectra of these patients were generated using ProteinChip arrays and a ProteinChip Biomarker System II surface enhanced laser desorption/ionization time of flight mass spectrometer (Ciphergen Biosystems, Inc., Fremont, CA). The cases and controls were randomly split into training and testing groups by a stratified sampling procedure. A combination of bioinformatics tools including ProPeak (3Z Informatics, Charleston, SC) was used to reveal the optimal panel of biomarkers for maximum separation of the prostate cancer and the benign prostate disease cohorts.
s
l of 3 proteins (PC-1, PC-2 and PC-3) was selected using the training data. Performance of each of the protein markers and a linear regression derived composite index (PC-com3) were evaluated on the testing data. The area under the curve for prostate specific antigen (PSA), PC-1, PC-2, PC-3 and PC-com3 was 0.542, 0.585, 0.600, 0.636 and 0.643, respectively. Improvement of PC-com3 compared to PSA is observed at specificity range 30% to 80%. At a selected specificity of 45% the sensitivity of PC-com3 is 76%, significantly better than the PSA sensitivity of 57% (p < 0.0001).
sions
proteomics patterns may potentially aid in the early detection of prostate cancer.
Journal title
Urologic Oncology
Serial Year
2004
Journal title
Urologic Oncology
Record number
1883369
Link To Document