Urakami Shinji, Shiina Hiroaki, Enokida Hideki, Hirata Hiroshi, Kawamoto Ken, Kawakami Toshifumi, Kikuno Nobuyuki, Tanaka Yuichiro, Majid Shahana, Nakagawa Masayuki, Igawa Mikio, Dahiya Rajvir
Department of Urology, Veterans Affairs Medical Center, University of California, San Francisco, California 94121, USA.
Clin Cancer Res. 2006 Dec 1;12(23):6989-97. doi: 10.1158/1078-0432.CCR-06-1194.
We hypothesized that combined methylation analysis of Wnt antagonist genes could serve as a panel of biomarkers for diagnosis, staging, and prognosis in renal cell carcinoma (RCC).
Samples (n = 62) of RCC and corresponding normal renal tissue (NRT) were analyzed using methylation-specific PCR for methylation of six Wnt antagonist genes (sFRP-1, sFRP-2, sFRP-4, sFRP-5, Wif-1, and Dkk-3). To increase the sensitivity/specificity of RCC detection, the methylation score (M score) for multigene methylation analysis was developed. Receiver operator characteristic curve analysis was used to determine the optimal sensitivity/specificity of the M score. In addition, the M score was compared with the clinicopathologic outcome. Thirty-three serum DNA samples were also used to investigate the methylation status of Wnt antagonist genes.
The methylation levels of all Wnt antagonists were significantly higher in RCC than in NRT. In multivariate regression analysis, the methylation level of sFRP-1 was a significant independent predictor of RCC, whereas for sFRP-2 and sFRP-4 there was a trend toward significance as independent predictors. The M score of Wnt antagonist genes was significantly higher in RCC than in NRT. Overall, the M score had a sensitivity of 79.0% and a specificity of 75.8% (area under the curve, 0.808) as a diagnostic biomarker. In addition, the M score could significantly distinguish grade, pT category, M category, and overall survival of RCC patients. The M score was independent of age and gender in predicting overall survival by the Cox proportional hazards model. In RCC patients, 72.7% of the methylation-specific PCR results had identical methylation in samples of tumor and serum DNA. No serum DNA in normal controls showed aberrant methylation of the Wnt antagonist genes. In addition, the methylation status of Wnt antagonist genes in serum DNA was significantly correlated with tumor grade and stage.
This is the first report showing that M score analysis of Wnt antagonist genes can serve as an excellent epigenetic biomarker panel for detection, staging, and prognosis of RCC using serum DNA.
我们假设对Wnt拮抗剂基因进行联合甲基化分析可作为肾细胞癌(RCC)诊断、分期及预后的一组生物标志物。
采用甲基化特异性PCR分析62例RCC样本及相应的正常肾组织(NRT)样本中6个Wnt拮抗剂基因(sFRP-1、sFRP-2、sFRP-4、sFRP-5、Wif-1和Dkk-3)的甲基化情况。为提高RCC检测的敏感性/特异性,制定了多基因甲基化分析的甲基化评分(M评分)。采用受试者工作特征曲线分析确定M评分的最佳敏感性/特异性。此外,将M评分与临床病理结果进行比较。还使用33份血清DNA样本研究Wnt拮抗剂基因的甲基化状态。
RCC中所有Wnt拮抗剂的甲基化水平均显著高于NRT。在多因素回归分析中,sFRP-1的甲基化水平是RCC的显著独立预测因子,而sFRP-2和sFRP-4作为独立预测因子有显著趋势。RCC中Wnt拮抗剂基因的M评分显著高于NRT。总体而言,M评分作为诊断生物标志物的敏感性为79.0%,特异性为75.8%(曲线下面积为0.808)。此外,M评分可显著区分RCC患者的分级、pT类别、M类别及总生存期。通过Cox比例风险模型,M评分在预测总生存期时与年龄和性别无关。在RCC患者中,72.7%的甲基化特异性PCR结果在肿瘤和血清DNA样本中具有相同的甲基化。正常对照的血清DNA未显示Wnt拮抗剂基因的异常甲基化。此外,血清DNA中Wnt拮抗剂基因的甲基化状态与肿瘤分级和分期显著相关。
这是首次报道表明对Wnt拮抗剂基因进行M评分分析可作为使用血清DNA检测、分期及预测RCC预后的优秀表观遗传生物标志物组。