Abstract
1004 - Urine cell based DNA methylation classifier for monitoring bladder cancer
Highlights
Current standard methods used to detect and monitor bladder cancer (BC) are invasive or have low sensitivity
Training set DNA methylation of all seven selected genes was significantly increased in urine sediments from BC patients compared to controls (Fig. 1)
The best possible biomarker combination based on Area under the curve (AUC) was provided by the combination of CFTR, SALL3, and TWIST1
Summary
Current standard methods used to detect and monitor bladder cancer (BC) are invasive or have low sensitivity. This study aimed to develop a urine methylation biomarker classifier for BC monitoring and validate this classifier in patients in follow-up for bladder cancer (PFBC). Up to 34% of these high-risk patients will develop muscle-invasive bladder cancer (MIBC) [2]. For this reason, an intensive follow-up schedule is mandatory in patients with intermediate- or high-risk NMIBC. On the other hand, has a high specificity (SP) but lacks sensitivity (SN) especially in low-risk tumors [6]. Several non-invasive methods, NMP-22, bladder tumor antigen, and UroVysion FISH, have shown to help increase the sensitivity of urine cytology. There is a clear clinical need to find reliable markers to monitor the recurrence in NMIBC [8]
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