Stapleton A M, Zbell P, Kattan M W, Yang G, Wheeler T M, Scardino P T, Thompson T C
The Matsunaga-Conte Prostate Cancer Research Center and the Scott Department of Urology, Baylor College of Medicine, Houston, Texas 77030, USA.
Cancer. 1998 Jan 1;82(1):168-75. doi: 10.1002/(sici)1097-0142(19980101)82:1<168::aid-cncr21>3.0.co;2-#.
This study was designed to evaluate the potential of the molecular and cellular markers p53, Ki-67, and apoptotic index (AI) as adjuncts to the commonly available variables of tumor grade, clinical stage, and serum prostate specific antigen to predict prostate carcinoma recurrence after radical prostatectomy.
Representative punch biopsy specimens of prostate carcinoma from whole mount paraffin blocks were evaluated from 47 men who underwent radical prostatectomy. Two groups were defined: those without evidence of prostate carcinoma recurrence after 5 years of follow-up (N = 30) and those with carcinoma recurrence (N = 17). Gleason grade, clustered p53 immunostaining, Ki-67 immunostaining, and AI were determined by standard techniques.
All variables tested were associated with disease recurrence by univariate analysis: AI (P = 0.005), clustered p53 immunostaining (P = 0.0070), and Ki-67 immunostaining (P = 0.0390). Using multivariate analyses that included each biomarker with routinely available features, only AI (P = 0.0234) and clustered p53 immunostaining (P = 0.0389) added independent prognostic information (Ki-67 immunostaining, P = 0.1285). In the final logistic regression model that included standard variables with AI and p53, only AI reached statistical significance (P = 0.0332).
The continued assessment of additional biomarkers for prostate carcinoma recurrence is important to identify better those patients who may be candidates for early adjuvant therapy and also to further our understanding of the neoplastic potential of a particular malignancy.
本研究旨在评估分子和细胞标志物p53、Ki-67及凋亡指数(AI)作为肿瘤分级、临床分期和血清前列腺特异性抗原等常用变量的辅助指标,用于预测前列腺癌根治术后复发的潜力。
对47例行前列腺癌根治术患者的全层石蜡块中代表性穿刺活检标本进行评估。分为两组:随访5年无前列腺癌复发证据者(N = 30)和有癌复发者(N = 17)。采用标准技术测定Gleason分级、p53免疫组化聚集染色、Ki-67免疫组化染色及AI。
单因素分析显示,所有检测变量均与疾病复发相关:AI(P = 0.005)、p53免疫组化聚集染色(P = 0.0070)及Ki-67免疫组化染色(P = 0.0390)。多因素分析纳入每个生物标志物及常规可用特征,仅AI(P = 0.0234)和p53免疫组化聚集染色(P = 0.0389)增加了独立预后信息(Ki-67免疫组化染色,P = 0.1285)。在包含标准变量、AI和p53的最终逻辑回归模型中,仅AI具有统计学意义(P = 0.0332)。
持续评估前列腺癌复发的其他生物标志物对于更好地识别可能适合早期辅助治疗的患者以及进一步理解特定恶性肿瘤的肿瘤潜能非常重要。