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Performance of a novel urine-based biomarker for the monitoring of bladder cancer recurrence

Abstract: PD19-09
Sources of Funding: Zetiq Technologies Ltd.

Introduction

The accurate detection of low-grade (LG) urothelial cell carcinoma (UCC) may be challenging, particularly in cases where cytomorphologic features overlap with those of non-neoplastic changes. _x000D_ CellDetect is a unique histochemical stain which enables color discrimination, in addition to morphological examination, for the differentiation between benign and malignant cells in urine specimens. A multi-institutional blinded study has recently shown that this color feature significantly improves the sensitivity for LG tumors when compared to standard urine cytology. The objective of the present study was to confirm this performance in an independent cytology laboratory.

Methods

Voided urine samples were collected from a first cohort of patients undergoing routine cystoscopic surveillance. To enrich the study with positive cases, a second cohort of patients scheduled for transurethral resection (TURBT) was also enrolled. The patients from both cohorts had a documented history of bladder cancer. _x000D_ Urine samples were processed into two cytocentrifuge smears and each slide was stained with either CellDetect or standard cytology stain. Both specimens were observed by a cytopathologist blinded to the final diagnosis. The results were then compared to the gold standard (biopsy for positive cases and biopsy or cystoscopy for negative cases).

Results

73 patients were enrolled in this study, among which 51 were UCC-negative and 22 UCC-positive. The sensitivity of CellDetect was 82% compared to 59% for standard cytology (p<0.05) while the specificity was not significantly different (86% versus 94%). Moreover, the urine-based biomarker was able to detect 73% of the LG tumors compared to 45% by standard cytology. In addition, it correctly diagnosed 91% of the HG tumors compared to 73% for standard stain._x000D_ _x000D_

Conclusions

This study validates the usability of CellDetect in clinical settings. Particularly, it confirms its ability to accurately identify UCC recurrence throughout all cancer grades. This could be particularly useful in LG cases where cytomorphologic criteria overlap with benign reactive conditions.

Funding

Zetiq Technologies Ltd.

Authors
Ofer Nativ
Sarel Halachmi
Kohava Biton
Marina Zlotnik
Chen Yoffe
Noa Davis
Yael Glickman
Jacob Bejar
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