Schultz Iman J, Wester Kenneth, Straatman Huub, Kiemeney Lambertus A, Babjuk Marko, Mares Jaroslav, Willems Johanner L, Swinkels Dorine W, Witjes J Alfred, de Kok Jacques B, Malmström Per-Uno
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Int J Cancer. 2006 Oct 15;119(8):1915-9. doi: 10.1002/ijc.22059.
Accurate prediction of tumor recurrence in patients with superficial urothelial cell carcinoma (UCC) might result in a significant reduction of invasive follow-up cystoscopies. A recent study identified a panel of 26 genes from a large cDNA microarray analysis of bladder tumors that discriminated between early- and late-recurring patients with superficial Ta tumors (Dyrskjøt et al., Nat Genet 2003;33:90-6). We aimed to validate this panel of genes in 44 primary Ta UCCs (23 and 21 tumors from patients with short or prolonged recurrence-free periods, respectively), by real-time quantitative PCR. Statistical analysis showed marginal significant different mRNA expression levels between the 2 patient groups. To evaluate a supplementary effect of genes for the identification of patients with short or prolonged recurrence-free intervals, forward logistic regression analysis was applied. This revealed that a combination of the expression profiles of the genes HNRPK, LTB4DH and ANP32B resulted in the best performance, although the combination only marginally increased the predictive value of HNRPK alone. Comparing the receiver-operating-characteristic curves for HNRPK expression among patients with short or prolonged recurrence-free periods, revealed an area under the curve of 0.696 (95% CI, 0.537-0.855). Using the median HNRPK expression level as cut-off, a sensitivity of 69.6% and a specificity of 71.4% were obtained for the identification of patients with short or prolonged recurrence-free periods, respectively. In conclusion, we were not able to confirm the microarray gene expression pattern of the 26 genes shown by Dyrskjøt et al. The discovery of accurate recurrence predictive markers, therefore, remains a challenge.
准确预测浅表性尿路上皮癌(UCC)患者的肿瘤复发,可能会显著减少侵入性随访膀胱镜检查的次数。最近一项研究通过对膀胱肿瘤进行大规模cDNA微阵列分析,确定了一组26个基因,这些基因可区分浅表Ta肿瘤早期和晚期复发的患者(Dyrskjøt等人,《自然遗传学》,2003年;33:90 - 6)。我们旨在通过实时定量PCR,在44例原发性Ta UCC中(分别来自复发间期短或长的患者的23例和21例肿瘤)验证这组基因。统计分析显示,两组患者之间的mRNA表达水平存在边缘显著差异。为了评估这些基因对识别复发间期短或长的患者的补充作用,应用了向前逻辑回归分析。结果显示,基因HNRPK、LTB4DH和ANP32B的表达谱组合表现最佳,尽管该组合仅略微提高了单独使用HNRPK的预测价值。比较复发间期短或长的患者中HNRPK表达的受试者工作特征曲线,曲线下面积为0.696(95%CI,0.537 - 0.855)。以HNRPK表达水平的中位数作为临界值,识别复发间期短或长的患者时,敏感性分别为69.6%和特异性为71.4%。总之,我们无法证实Dyrskjøt等人所示的26个基因的微阵列基因表达模式。因此,发现准确的复发预测标志物仍然是一项挑战。