Charles University, Prague, Czech Republic.
Neoplasma. 2013;60(3):295-301. doi: 10.4149/neo_2013_0391.
The aim of the study was to define specific genetic profile in Ta and T1 urinary bladder carcinoma patients with and without recurrence by gene expression microarrays. Eleven patients with the time to recurrence shorter than one year (patients with recurrence) and 11 patients with time to recurrence longer than 4 years (patients without recurrence) were enrolled. Data from microarrays were subjected to a panel of statistical analyses to identify bladder cancer recurrence-associated gene signatures. Initial screening using the GeneSpring and Bioconductor software tools revealed a putative set 47 genes differing in gene expression in both groups. After the validation, 33 genes manifested significant differences between both groups. The significant expression was observed in the group of patients without recurrence by 30 genes of which the highest differences were detected by ANXA1, ARHGEF4, FLJ32252, GNE, NINJ1, PRICKLE1, PSAT1, RNASE1, SPTAN1, SYNGR1, TNFSF15, TSPAN1, and WDR34. These genes code for signal transduction, vascular remodeling and vascular endothelial growth inhibition mainly. In the group with recurrence, 3 genes had significant differences, the highest differences were identified by two genes (PLOD2 and WDR72). Loci of genes with significant changes of gene expression were located on characteristic chromosomes for bladder cancer: 7 loci on chromosome 9, 8 loci on chromosomes 1, 2, 3, 12,14,15,16, and 22. We have selected and validated 15 genes that are differentially expressed in superficial bladder cancer. We hope that this cohort of genes will serve as a promising pool of candidate biomarkers for early stage bladder cancer. Our results indicate that it may be possible to identify patients with a low and high risk of disease recurrence at an early stage using a molecular profile.
本研究旨在通过基因表达微阵列,为 Ta 和 T1 膀胱癌患者(有复发和无复发患者)定义特定的基因谱。共纳入 11 例复发时间短于 1 年的患者(复发患者)和 11 例复发时间长于 4 年的患者(无复发患者)。对微阵列数据进行了一系列统计分析,以确定膀胱癌复发相关基因特征。使用 GeneSpring 和 Bioconductor 软件工具进行初步筛选,发现两组之间存在差异表达的候选基因集 47 个。验证后,两组之间有 33 个基因表现出显著差异。无复发组有 30 个基因的表达显著不同,其中 ANXA1、ARHGEF4、FLJ32252、GNE、NINJ1、PRICKLE1、PSAT1、RNASE1、SPTAN1、SYNGR1、TNFSF15、TSPAN1 和 WDR34 的差异最大。这些基因主要编码信号转导、血管重塑和血管内皮生长抑制。在复发组中,有 3 个基因有显著差异,其中两个基因(PLOD2 和 WDR72)的差异最大。基因表达显著变化的基因座位于膀胱癌特征染色体上:9 号染色体上有 7 个基因座,1、2、3、12、14、15、16 和 22 号染色体上各有 8 个基因座。我们选择并验证了 15 个在浅表膀胱癌中表达差异的基因。我们希望这一组基因能成为早期膀胱癌有前途的候选生物标志物库。我们的研究结果表明,使用分子谱可能有可能在早期识别低风险和高风险疾病复发的患者。