© 2002 by Oxford University Press
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
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, FDANCI 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, FDANCI 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, FDANCI 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 (410 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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