Bladder cancer diagnosis with a four-miRNA panel in serum

Future Oncol. 2022 Sep;18(29):3311-3322. doi: 10.2217/fon-2022-0448. Epub 2022 Sep 1.

Abstract

Background: Bladder cancer is one of the most prevalent malignancies. Due to the disadvantage of existing bladder cancer diagnostic tools, miRNAs hold promise as new diagnostic markers. Materials & methods: A total of 224 participants were involved in this three-cohort trial. A total of 15 candidate miRNAs were selected, and miRNAs with diagnostic ability were screened out with quantitative reverse transcription PCR. Diagnostic capability was ascertained by the receiver operating characteristic curve and area under the curve. Bioinformatics analysis was constructed for target gene prediction and functional annotation. Results: Six candidate miRNAs showed significantly different expression between bladder cancer patients and normal controls, and the final diagnostic panel comprised miR-181b-5p, miR-183-5p, miR-199-5p and miR-221-3p. Conclusion: This four-miRNA panel could represent a stable biomarker for bladder cancer diagnosis.

Keywords: biomarker; bladder cancer; diagnosis; miRNA; serum.

Plain language summary

Bladder cancer is one of the most prevalent malignancies. Due to the disadvantage of existing bladder cancer diagnostic tools, miRNAs hold promise as new diagnostic markers. After an experiment composed of 224 participants, the authors screened out six candidate miRNAs that may contribute to diagnosing bladder cancer. The authors also repeatedly verified the reliability of candidate miRNAs. Finally, a combination of multiple miRNAs, consisting of miR-181b-5p, miR-183-5p, miR-199-5p, and miR-221-3p, was better and more reliable in predicting bladder cancer occurrence.

Publication types

  • Clinical Trial

MeSH terms

  • Biomarkers, Tumor / genetics
  • Gene Expression Profiling
  • Humans
  • MicroRNAs* / genetics
  • ROC Curve
  • Urinary Bladder Neoplasms* / diagnosis
  • Urinary Bladder Neoplasms* / genetics

Substances

  • Biomarkers, Tumor
  • MicroRNAs