van Kessel Kim E M, Van Neste Leander, Lurkin Irene, Zwarthoff Ellen C, Van Criekinge Wim
Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Department of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands; MDxHealth, Inc., Irvine, California.
J Urol. 2016 Mar;195(3):601-7. doi: 10.1016/j.juro.2015.08.085. Epub 2015 Aug 29.
Many patients enter the care cycle with gross or microscopic hematuria and undergo cystoscopy to rule out bladder cancer. Sensitivity of this invasive examination is limited, leaving many patients at risk for undetected cancer. To improve current clinical practice more sensitive and noninvasive screening methods should be applied.
A total of 154 urine samples were collected from patients with hematuria, including 80 without and 74 with bladder cancer. DNA from cells in the urine was epigenetically profiled using 2 independent assays. Methylation specific polymerase chain reaction was performed on TWIST1. SNaPshot™ methylation analysis was done for different loci of OTX1 and ONECUT2. Additionally all samples were analyzed for mutation status of TERT (telomerase reverse transcriptase), PIK3CA, FGFR3 (fibroblast growth factor receptor 3), HRAS, KRAS and NRAS.
The combination of TWIST1, ONECUT2 (2 loci) and OTX1 resulted in the best overall performing panel. Logistic regression analysis on these methylation markers, mutation status of FGFR3, TERT and HRAS, and patient age resulted in an accurate model with 97% sensitivity, 83% specificity and an AUC of 0.93 (95% CI 0.88-0.98). Internal validation led to an optimism corrected AUC of 0.92. With an estimated bladder cancer prevalence of 5% to 10% in a hematuria cohort the assay resulted in a 99.6% to 99.9% negative predictive value.
Epigenetic profiling using TWIST1, ONECUT2 and OTX1 results in a high sensitivity and specificity. Accurate risk prediction might result in less extensive and invasive examination of patients at low risk, thereby reducing unnecessary patient burden and health care costs.
许多患者因肉眼血尿或镜下血尿进入诊疗流程,并接受膀胱镜检查以排除膀胱癌。这种侵入性检查的敏感性有限,使许多患者面临未被发现的癌症风险。为改善当前临床实践,应采用更敏感且无创的筛查方法。
共收集了154例血尿患者的尿液样本,其中80例无膀胱癌,74例患有膀胱癌。使用2种独立检测方法对尿液中细胞的DNA进行表观遗传分析。对TWIST1进行甲基化特异性聚合酶链反应。对OTX1和ONECUT2的不同位点进行SNaPshot™甲基化分析。此外,对所有样本分析端粒酶逆转录酶(TERT)、磷脂酰肌醇-3激酶催化亚基α(PIK3CA)、成纤维细胞生长因子受体3(FGFR3)、哈-柔二氏肉瘤病毒癌基因同源物(HRAS)、 Kirsten大鼠肉瘤病毒癌基因(KRAS)和神经母细胞瘤RAS病毒癌基因同源物(NRAS)的突变状态。
TWIST1、ONECUT2(2个位点)和OTX1的组合产生了总体表现最佳的检测组。对这些甲基化标志物、FGFR3、TERT和HRAS的突变状态以及患者年龄进行逻辑回归分析,得出一个准确的模型,其敏感性为97%,特异性为83%,曲线下面积(AUC)为0.93(95%可信区间0.88 - 0.98)。内部验证得出乐观校正后的AUC为0.92。在血尿队列中,估计膀胱癌患病率为5%至10%,该检测方法的阴性预测值为99.6%至99.9%。
使用TWIST1、ONECUT2和OTX1进行表观遗传分析具有高敏感性和特异性。准确的风险预测可能会减少对低风险患者进行的广泛且侵入性的检查,从而减轻患者不必要的负担和医疗保健成本。