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JNCI Journal of the National Cancer Institute 2002 94(20):1576-1578; doi:10.1093/jnci/94.20.1576
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Journal of the National Cancer Institute, Vol. 94, No. 20, 1576-1578, October 16, 2002
© 2002 Oxford University Press


BRIEF COMMUNICATION

Serum Proteomic Patterns for Detection of Prostate Cancer

Emanuel F. Petricoin, III, 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

Affiliations of authors: E. F. Petricoin III, P. S. Hackett, L. Wiegand, K. Wood, Food and Drug Administration (FDA)–National Cancer Institute (NCI) Clinical Proteomics Program, Department of Therapeutic Proteins/Center for Biologics Evaluation and Research (CBER), FDA, Bethesda, MD; D. K. Ornstein, Division of Urology, University of North Carolina, Chapel Hill; C. P. Paweletz, FDA–NCI Clinical Proteomics Program, Department of Therapeutic Proteins/CBER and Laboratory of Pathology, Center for Cancer Research (CCR), NCI, National Institutes of Health (NIH), Bethesda, and Department of Chemistry, Georgetown University, Washington, DC; A. Ardekani, FDA–NCI Clinical Proteomics Program, Department of Therapeutic Proteins/CBER Laboratory of Pathology, CCR, NCI, NIH; B. A. Hitt, P. J. Levine, Correlogic Systems, Inc., Bethesda; A. Velassco, C. Trucco, Department of Urology, Catholic University of Chile, Santiago; C. B. Simone, Simone Protective Cancer Institute, Lawrenceville, NJ; W. M. Linehan, Urologic Oncology Branch, NCI, NIH; M. R. Emmert-Buck, E. C. Kohn, L. A. Liotta, FDA–NCI Clinical Proteomics Program, Laboratory of Pathology, CCR, NCI, NIH; S. M. Steinberg, Biostatistics and Data Management Section, CCR, NCI, NIH.

Correspondence to: Emanuel F. Petricoin III, Ph.D., Bldg. 29A, Rm. 2D12, 8800 Rockville Pike, Bethesda, MD 20892 (e-mail: petricoin{at}cber.fda.gov).

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 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.



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