Department of Urology, College of Medicine, Chungbuk National University, Cheongju, Korea.
J Korean Med Sci. 2011 Feb;26(2):231-6. doi: 10.3346/jkms.2011.26.2.231. Epub 2011 Jan 24.
Tissue genotyping is more useful approach than using blood genomic DNA, which can reflect the effects of the somatic mutations in cancer. Although polymorphisms in glutathione S-transferase (GST) have been associated with the risk of bladder cancer (BC) development, few reports provide information about the prognosis of BC. We investigated glutathione S-transferase mu (GSTM1) and glutathione S-transferase theta (GSTT1) genotypes using genomic DNA from primary 165 BC tissue samples to assess the association with disease prognosis. DNA samples from tumor were analyzed by multiplex polymerase chain reaction (PCR). The results were compared with clinicopathological parameters. The prognostic significance of the GSTs was evaluated by Kaplan-Meier and multivariate Cox regression model. Kaplan-Meier estimates revealed significant differences in time to tumor recurrence according to the GSTM1 tissue genotype (P = 0.038) in non-muscle invasive bladder cancer (NMIBC). Multivariate Cox regression analysis also revealed that the tissue GSTM1 genotype (hazards ratio [HR]: 0.377, P = 0.031) was an independent predictor of bladder tumor recurrence in NMIBC. This identification of GSTM1 tissue genotype as a prognosticator for determining recurrence in NMIBC should prove highly useful in a clinical setting.
组织基因分型是一种比使用血液基因组 DNA 更有用的方法，因为血液基因组 DNA 可以反映癌症中体细胞突变的影响。尽管谷胱甘肽 S-转移酶 (GST) 的多态性与膀胱癌 (BC) 发展的风险有关，但很少有报道提供关于 BC 预后的信息。我们使用来自原发性 165 例 BC 组织样本的基因组 DNA 来研究谷胱甘肽 S-转移酶 mu (GSTM1) 和谷胱甘肽 S-转移酶 theta (GSTT1) 基因型，以评估其与疾病预后的关联。通过多重聚合酶链反应 (PCR) 分析肿瘤的 DNA 样本。将结果与临床病理参数进行比较。通过 Kaplan-Meier 和多变量 Cox 回归模型评估 GSTs 的预后意义。Kaplan-Meier 估计表明，根据非肌肉浸润性膀胱癌 (NMIBC) 中组织 GSTM1 基因型，肿瘤复发时间存在显著差异 (P = 0.038)。多变量 Cox 回归分析还表明，组织 GSTM1 基因型 (风险比 [HR]：0.377，P = 0.031) 是 NMIBC 膀胱癌复发的独立预测因子。这种将组织 GSTM1 基因型鉴定为预测 NMIBC 复发的标志物，在临床环境中应该非常有用。
