EarlyTect BCD, a Streamlined PENK Methylation Test in Urine DNA, Effectively Detects Bladder Cancer in Patients with Hematuria.

The current noninvasive diagnostic approaches for detecting bladder cancer (BC) often exhibit limited clinical performance, especially for the initial diagnosis. This study aims to evaluate the validity of a streamlined urine-based PENK methylation test called EarlyTect BCD in detecting BC in patients with hematuria scheduled for cystoscopy in Korean and American populations. The test seamlessly integrates two steps, linear target enrichment and quantitative methylation-specific PCR within a single closed tube. The detection limitation of the test was approximately two genome copies of methylated PENK per milliliter of urine. In the retrospective training set (n = 105), an optimal cutoff value was determined to distinguish BC from non-BC, resulting in a sensitivity of 87.3% and a specificity of 95.2%. In the prospective validation set (n = 210, 122 Korean and 88 American patients), the overall sensitivity for detecting all stages of BC was 81.0%, with a specificity of 91.5% and an area under the curve value of 0.889. There was no significant difference between the two groups. The test achieved a sensitivity of 100% in detecting high-grade Ta and higher stages of BC. The negative predictive value of the test was 97.7%, and the positive predictive value was 51.5%. The findings of this study demonstrate that EarlyTect BCD is a highly effective noninvasive diagnostic tool for identifying BC among patients with hematuria.

Evaluation of Sensitive Urine DNA-Based PENK Methylation Test for Detecting Bladder Cancer in Patients with Hematuria.

Hematuria is a prevalent symptom associated with bladder cancer (BC). However, the invasiveness and cost of cystoscopy, the current gold standard for BC diagnosis in patients with hematuria, necessitate the development of a sensitive and accurate noninvasive test. This study introduces and validates a highly sensitive urine-based DNA methylation test. The test improves sensitivity in detecting PENK methylation in urine DNA using linear target enrichment followed by quantitative methylation-specific PCR. In a case-control study comprising 175 patients with BC and 143 patients without BC with hematuria, the test's optimal cutoff value was determined by distinguishing between two groups, achieved an overall sensitivity of 86.9% and a specificity of 91.6%, with an area under the curve of 0.892. A prospective validation clinical study involving 366 patients with hematuria scheduled for cystoscopy assessed the test's performance. The test demonstrated an overall sensitivity of 84.2% in detecting 38 cases of BC, a specificity of 95.7%, and an area under the curve of 0.900. Notably, the sensitivity for detecting Ta high grade and higher stages of BC reached 92.3%. The test's negative predictive value was 98.2%, and the positive predictive value was 68.7%. These findings highlight the potential of the PENK methylation in urine DNA using linear target enrichment followed by quantitative methylation-specific PCR test in urine as a promising molecular diagnostic tool for detecting primary BC in patients with hematuria, which may reduce the need for cystoscopy.

Identification and validation of methylated PENK gene for early detection of bladder cancer using urine DNA.

BACKGROUND: Early detection of bladder cancer (BCa) offers patients a favorable outcome and avoids the need for cystectomy. Development of an accurate and sensitive noninvasive BCa diagnostic test is imperative. DNA methylation is an early epigenetic event in the development of BCa. Certain specific aberrant methylations could serve as useful biomarkers. The aim of this study was to identify methylation biomarkers for early detection of BCa. METHODS: CpG methylation microarray analysis was conducted on primary tumors with varying stages (T1-T4) and paired nontumor tissues from nine BCa patients. Bisulfite-pyrosequencing was performed to confirm the methylation status of candidate genes in tissues and urine sediments (n = 51). Among them, PENK was selected as a potential candidate and validated using an independent set of 169 urine sediments (55 BCa, 25 benign urologic diseases, 8 other urologic cancers, and 81 healthy controls) with a quantitative methylation-specific real time PCR (mePENK-qMSP). All statistical analyses were performed using MedCalc software version 9.3.2.0. RESULTS: CpG methylation microarray analysis and stepwise validation by bisulfite-pyrosequencing for tissues and urine sediments supported aberrant methylation sites of the PENK gene as potential biomarkers for early detection of BCa. Clinical validation of the mePENK-qMSP test using urine sediment-DNA showed a sensitivity of 86.5% (95% CI: 71.2 - 95.5%), a specificity of 92.5% (95% CI: 85.7 - 96.7%), and an area under ROC of 0.920 (95% CI: 0.863 - 0.959) in detecting Ta high-grade and advanced tumor stages (T1-T4) of BCa patients. Sensitivities for Ta low-grade, Ta high-grade, T1 and T2-T4 were 55.6, 83.3, 88.5, and 100%, respectively. Methylation status of PENK was not correlated with sex, age or stage, while it was associated with the tumor grade of BCa. CONCLUSIONS: In this study, we analyzed the comprehensive patterns of DNA methylation identified that PENK methylation possesses a high potential as a biomarker for urine-based early detection of BCa. Validation of PENK methylation confirms that it could significantly improve the noninvasive detection of BCa.