Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) for determining prognosis in advanced stage hormone relapsing prostate cancer
Affiliations: [a] Division of Hematology/Oncology Department of Medicine, University of Arkansas for Medical Sciences (UAMS), 4301 West Markham Street, Little Rock, AR 72211, USA | [b] Division of Biometry, University of Arkansas for Medical Sciences (UAMS), 4301 West Markham Street, Little Rock, AR 72211, USA | [c] Department of Orthopaedic Surgery, Center for Orthopaedic Research, University of Arkansas for Medical Sciences (UAMS), 4301 West Markham Street, Little Rock, AR 72211, USA | [d] Central Arkansas Veterans Healthcare System, 4300 West 7th Street, Little Rock, AR 72211, USA | [e] University of Rochester Medical Center, 601 Elmwood Avenue, PO Box 704, Rochester, NY 14642, USA
Correspondence:
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Corresponding author: Dr. Manish Kohli, 601 Elmwood Avenue, PO Box 704, Rochester, NY 14642 USA. Tel.: +1 585 273 4150; Fax: +1 585 276 0337; E-mail: [email protected]
Abstract: Prostate cancer frequently progresses despite early diagnosis and appropriate treatment with radical prostatectomy and/or radiotherapy. The clinical utility of SELDI-TOF MS to identify serum biomarker patterns associated with prostate cancer progression was examined by analysis of the serum proteome of advanced prostate cancer patients receiving standard androgen deprivation therapy. Serum from advanced-stage patients receiving androgen deprivation therapy was profiled by SELDI-TOF MS. Group 1 patients (n=15) had stable prostate specific antigen (PSA) responses to treatment; Group 2 (n=16) had rising PSA levels. Spectra were subjected to peak identification following total ion current (TIC) normalization. Peak intensities with m/z between 2,000 and 20,000 were tested for group differences via Kruskal-Wallis tests, and assessed individually for PSA-independent associations with overall survival via covariate-adjusted Cox regressions. TIC normalization yielded 53 useable spectra; 119 peaks with m/z between 2,000 and 20,000 were identified. Seven peaks showed statistically significant (p<0.05) differences between PSA groups, and several other peaks showed significant associations with overall survival independent of PSA status. In summary, SELDI-TOF MS captured a specific biomarker profile associated with biochemical relapse and provided additional prognostic information regarding long-term survival, independent of clinical PSA status.
