The value of urinary exosomal lncRNA SNHG16 as a diagnostic biomarker for bladder cancer

Mol Biol Rep. 2023 Oct;50(10):8297-8304. doi: 10.1007/s11033-023-08667-z. Epub 2023 Aug 17.

Abstract

Objective: To detect the expression level of urinary exosomal lncRNA SNHG16 in patients with bladder cancer and healthy individuals and explore its clinical application value in the diagnosis of bladder cancer.

Methods: Urine samples were collected from 42 patients with bladder cancer and 42 healthy volunteers who visited Lu'an Hospital of Anhui Medical University and the Second Hospital of Tianjin Medical University from January 2020 to December 2022. The expression levels of lncRNA SNHG16 in urinary exosomes of the two groups were detected by RT‒qPCR, and their correlation with clinical pathological parameters of bladder cancer patients was analysed. An Receiver Operating Characteristic(ROC) curve was drawn to analyse the diagnostic value of urinary exosomal lncRNA SNHG16 for bladder cancer and compared with urinary cytology.

Results: The expression of urinary exosomal lncRNA SNHG16 in patients with bladder cancer was significantly higher (P < 0.05), and the expression level had no correlation with the age, sex, pathological T stage, pathological grade, or tumour size of bladder cancer patients (P > 0.05). The Area Under Curve(AUC) of urinary exosomal lncRNA SNHG16 in diagnosing bladder cancer was 0.791, which was superior to that of urinary cytology (AUC = 0.597).

Conclusion: Urinary exosomal lncRNA SNHG16 with high expression can serve as a potential diagnostic biological marker for bladder cancer.

Keywords: Biomarker; Bladder cancer; Diagnosis; Urine exosome; lncRNA SNHG16.

MeSH terms

  • Biomarkers / metabolism
  • Exosomes* / metabolism
  • Humans
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism
  • Urinary Bladder Neoplasms* / diagnosis
  • Urinary Bladder Neoplasms* / genetics
  • Urinary Bladder Neoplasms* / pathology
  • Urinary Tract*

Substances

  • RNA, Long Noncoding
  • Biomarkers