Neoplasma. 2016;63(6):952-960. doi: 10.4149/neo_2016_614.
The aim of the study was to assess the genetic diversity of bladder cancer and determine the suitability of a proposed molecular marker panel to monitor the course of bladder cancer patients. The study involved 185 patients with diagnosed bladder cancer. The genetic diversity of the bladder cancer was evaluated by the prevalence of mutations in the TP53, HRAS, FGFR3 and WWOX genes. Mutations were detected in 62.2% of the tumor samples. The most frequently mutated genes were FGFR3 (49.7%) and TP53 (16.2%). No mutation was observed in the WWOX gene. FGFR3 mutations, contrary to TP53, correlated with lower tumor stage and grade, and the presence of multiple tumors. The risk of death was significantly higher in patients with TP53 mutant tumors (HR=3.12; 95%CI: 1.14-7.27; p=0.006) but lower in patients with FGFR3 mutations (HR=0.36; 95%CI: 0.15-0.87; p=0.002). None of the investigated genes was an independent predictor of disease-specific survival, recurrence-free survival or progression-free survival. The results confirm the existence of two alternative pathways of bladder cancer. However the presence of a high percentage of wild type variants in the higher stages of the disease suggest the existence of another pathway of molecular changes leading to the development of bladder cancer. Molecular analysis may have prognostic value and may facilitate the assignment of patients to appropriate forms of treatment - especially in the case of patients with a T1 tumor, where different mutational patterns were observed in each grade.
本研究旨在评估膀胱癌的遗传多样性,并确定拟议的分子标志物面板是否适合监测膀胱癌患者的病程。该研究纳入了 185 名确诊膀胱癌患者。通过检测 TP53、HRAS、FGFR3 和 WWOX 基因的突变情况来评估膀胱癌的遗传多样性。在 62.2%的肿瘤样本中检测到了突变。最常发生突变的基因是 FGFR3(49.7%)和 TP53(16.2%)。WWOX 基因未发生突变。与 TP53 相反,FGFR3 突变与肿瘤分期和分级较低以及多发肿瘤有关。TP53 突变型肿瘤患者的死亡风险显著升高(HR=3.12;95%CI:1.14-7.27;p=0.006),而 FGFR3 突变型患者的死亡风险较低(HR=0.36;95%CI:0.15-0.87;p=0.002)。在所研究的基因中,没有一个是疾病特异性生存、无复发生存或无进展生存的独立预测因子。研究结果证实了膀胱癌存在两种替代发生途径。然而,在疾病较高阶段存在高比例的野生型变异,提示存在另一种导致膀胱癌发生的分子变化途径。分子分析可能具有预后价值,并有助于为患者分配适当的治疗方式——特别是在 T1 肿瘤患者中,每个分级观察到不同的突变模式。