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- Title
Serum proteomic patterns for detection of prostate cancer.
- Authors
Petricoin, Emanuel F, 3rd; Ornstein, David K; Paweletz, Cloud P; Ardekani, Ali; Hackett, Paul S; Hitt, Ben A; Velassco, Alfredo; Trucco, Christian; Wiegand, Laura; Wood, Kamillah; Simone, Charles B; Levine, Peter J; Linehan, W Marston; Emmert-Buck, Michael R; Steinberg, Seth M; Kohn, Elise C; Liotta, Lance A
- Abstract
Pathologic states within the prostate may be reflected by changes in serum proteomic patterns. To test this hypothesis, we analyzed serum proteomic mass spectra with a bioinformatics tool to reveal the most fit pattern that discriminated the training set of sera of men with a histopathologic diagnosis of prostate cancer (serum prostate-specific antigen [PSA] > or =4 ng/mL) from those men without prostate cancer (serum PSA level <1 ng/mL). Mass spectra of blinded sera (N = 266) from a test set derived from men with prostate cancer or men without prostate cancer were matched against the discriminating pattern revealed by the training set. A predicted diagnosis of benign disease or cancer was rendered based on similarity to the discriminating pattern discovered from the training set. The proteomic pattern correctly predicted 36 (95%, 95% confidence interval [CI] = 82% to 99%) of 38 patients with prostate cancer, while 177 (78%, 95% CI = 72% to 83%) of 228 patients were correctly classified as having benign conditions. For men with marginally elevated PSA levels (4-10 ng/mL; n = 137), the specificity was 71%. If validated in future series, serum proteomic pattern diagnostics may be of value in deciding whether to perform a biopsy on a man with an elevated PSA level.
- Publication
Journal of the National Cancer Institute, 2002, Vol 94, Issue 20, p1576
- ISSN
0027-8874
- Publication type
Journal Article
- DOI
10.1093/jnci/94.20.1576