ArticleTranslational andrology and urology2021
A potential panel of five mRNAs in urinary extracellular vesicles for the detection of bladder cancer.
Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- The diagnostic accuracy of urine-derived exosomes for bladder cancer: a systematic review and meta-analysis.World journal of surgical oncology · 2024Pooled it
- Expression Profile of Thymidine Kinase Genes in Cervical Squamous Cell Carcinoma Confirmed by Various Detection Methods.World journal of oncology · 2025Article
- Extracellular vesicles-derived extracellular RNA in bladder cancer: current progress and future prospects.Therapeutic advances in medical oncology · 2025Review
- Exosome, the glass slipper for Cinderella of cancer-bladder cancer?Journal of nanobiotechnology · 2023Review
- Applications of Exosomes in Diagnosing Muscle Invasive Bladder Cancer.Pharmaceutics · 2022Review
- Urothelial carcinoma and the potential clinical application of urinary extracellular vesicles: Current Status and prospects.Bladder cancer (Amsterdam, Netherlands)Review
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExtracellular vesicles (EVs) have showed promising potential in liquid biopsy of cancer. In present study, we evaluate the feasibility to diagnose bladder cancer using EVs RNA markers identified from public tissue RNA sequencing data.
methodsWe used urine samples from a cohort of population with suspected bladder cancer. Disease status (i.e., primary or recurrent bladder cancer) was diagnosed by cystoscopy. A prediction model including the expression of multiple RNAs in urinary EVs were developed in training cohort (n=368, 126 bladder cancer and 242 negative controls). The performance of optimal model (ExoPanel) consists of five mRNAs (MYBL2, TK1, UBE2C, KRT7, S100A2) was further assessed by a validation cohort (n=155, 56 bladder cancer and 99 negative controls).
resultsThe performance of ExoPanel in training cohort was AUC 0.7759 (95% CI: 0.7259-0.8260), NPV 90.34% (95% CI: 84.04-94.42%), SN 88.89% (95% CI: 81.75-93.57%), and SP 54.13% (95% CI: 47.63-60.50%) respectively. In the validation cohort, the performance of this model was AUC 0.8402 (95% CI: 0.7690-0.9114), NPV 90.91% (95% CI: 79.29-96.60%), SN 91.07% (95% CI: 79.63-96.67%), and SP 50.51% (95% CI: 40.34-60.63%). Using this model, it is possible to rule out a significant number of non cancer patients, thus reduce the unnecessary operation of cystoscopy.
conclusionsWe discovered a panel of five mRNAs, and evaluated its potential to facilitate bladder cancer diagnosis by analyzing their expression in urinary EVs.
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