Comparison and combination of mutation and methylation-based urine tests for bladder cancer detection

被引:0
|
作者
Gordon, Naheema S. [1 ]
Mcguigan, Elspeth K. [1 ]
Ondasova, Michaela [1 ]
Knight, Jennifer [1 ]
Baxter, Laura A. [2 ]
Ott, Sascha [2 ]
Hastings, Robert K. [3 ]
Zeegers, Maurice P. [4 ]
James, Nicholas D. [5 ]
Cheng, K. K. [6 ]
Goel, Anshita [1 ]
Yu, Minghao [1 ]
Arnold, Roland [1 ]
Bryan, Richard T. [1 ]
Ward, Douglas G. [1 ]
机构
[1] Univ Birmingham, Coll Med & Hlth, Dept Canc & Genom Sci, Bladder Canc Res Ctr, Birmingham B15 2TT, England
[2] Univ Warwick, Bioinformat & Digital Hlth Serv, Res Technol Platforms, Coventry CV4 7AL, England
[3] Nonacus Ltd, Unit 5, Quinton Business Pk, Birmingham B32 1AF, England
[4] Univ Maastricht, Sch Nutr & Translat Res Metab, Dept Epidemiol, Maastricht, Netherlands
[5] Inst Canc Res, London SM2 5NG, England
[6] Univ Birmingham, Coll Med & Hlth, Dept Appl Hlth Sci, Birmingham B15 2TT, England
基金
英国惠康基金;
关键词
Bladder cancer; Urine test; Biomarker; Mutation; Methylation;
D O I
10.1186/s40364-024-00682-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and aims Several non-invasive tests for detecting bladder cancer (BC) are commercially available and are based on detecting small panels of BC-associated mutations and/or methylation changes in urine DNA. However, it is not clear which type of biomarker is best, or if a combination of the two is needed. In this study we address this question by taking a 23-gene mutation panel (GALEAS (TM) Bladder, GB) and testing if adding a panel of methylation markers improves the sensitivity of BC detection. Methods Twenty-three methylation markers were assessed in urine DNA by bisulphite conversion, multiplex PCR, and next generation sequencing in 118 randomly selected haematuria patients with pre-existing GB data (56 BCs and 62 non-BCs), split into training and test sets. We also analysed an additional 16 GB false-negative urine DNAs. Results The methylation panel detected bladder cancer in haematuria patients with 69% sensitivity at 96% specificity (test set results, 95% CIs 52-87% and 80-99%, respectively). Corresponding sensitivity and specificity for GB were 92% and 89%. Methylation and mutation markers were highly concordant in urine, with all GB false-negative samples also negative for methylation markers. Conclusions and limitations Our data show that, with a comprehensive mutation panel, any gains from adding methylation markers are, at best, marginal. It is likely that low tumour content is the commonest cause of false-negative urine test results. Our study does have a limited sample size and other methylation markers might behave differently to the those studied here.
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页数:4
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