Serum proteomic patterns for detection of prostate cancer

Emanuel F. Petricoin*, David K. Ornstein, Cloud P. Paweletz, Ali Ardekani, Paul S. Hackett, Ben A. Hitt, Alfredo Velassco, Christian Trucco, Laura Wiegand, Kamillah Wood, Charles B. Simone, Peter J. Levine, W. Marston Linehan, Michael R. Emmert-Buck, Seth M. Steinberg, Elise C. Kohn, Lance A. Liotta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

667 Scopus citations

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] ≥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 classifled 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.

Original languageEnglish
Pages (from-to)1576-1578
Number of pages3
JournalJournal of the National Cancer Institute
Volume94
Issue number20
DOIs
StatePublished - 16 Oct 2002
Externally publishedYes

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