Kohli Manish, Siegel Eric, Bhattacharya Sudeepa, Khan Mir Alikhan, Shah Rajesh, Suva Larry J
Division of Hematology/Oncology Department of Medicine, University of Arkansas for Medical Sciences (UAMS), 4301 West Markham Street, Little Rock, AR 72211, USA.
Cancer Biomark. 2006;2(6):249-58. doi: 10.3233/cbm-2006-2603.
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.
尽管前列腺癌早期诊断并接受了前列腺根治术和/或放疗等适当治疗,但仍经常进展。通过分析接受标准雄激素剥夺治疗的晚期前列腺癌患者的血清蛋白质组,研究了表面增强激光解吸电离飞行时间质谱(SELDI-TOF MS)识别与前列腺癌进展相关的血清生物标志物模式的临床效用。通过SELDI-TOF MS对接受雄激素剥夺治疗的晚期患者的血清进行分析。第1组患者(n = 15)对治疗的前列腺特异性抗原(PSA)反应稳定;第2组(n = 16)的PSA水平升高。在总离子流(TIC)归一化后对光谱进行峰识别。通过Kruskal-Wallis检验测试质荷比在2000至20000之间的峰强度的组间差异,并通过协变量调整的Cox回归单独评估其与总生存期的PSA独立关联。TIC归一化产生了53个可用光谱;识别出119个质荷比在2000至20000之间的峰。7个峰在PSA组之间显示出统计学显著差异(p < 0.05),其他几个峰显示出与总生存期的显著关联,且独立于PSA状态。总之,SELDI-TOF MS捕获了与生化复发相关的特定生物标志物谱,并提供了关于长期生存的额外预后信息,独立于临床PSA状态。