Plasma miRNA profile is a biomarker associated with urothelial carcinoma in chronic hemodialysis patients

Chien Lung Chen, Chen Huan Lin, An Lun Li, Chiu Ching Huang, Biing Yir Shen, Yun Ru Chiang, Pei Luen Fang, Huan Cheng Chang, Kay Lun Li, Wu Chang Yang, Jorng Tzong Horng, Nianhan Ma

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The incidence of urothelial carcinoma (UC) is higher in patients undergoing chronic dialysis than in the general population. This study investigated plasma miRNA profiling as the ancillary diagnosis biomarker associated with UC in patients undergoing chronic hemodialysis. We successfully screened out and detected miRNA expression from plasma in eight patients undergoing dialysis through quantitative real-time PCR array analysis and identified eight candidate miRNAs. The candidate miRNAs were then validated using single quantitative RT-PCR assays from 52 plasma samples. The miRNA classifier for ancillary UC detection was developed by multiple logistic regression analyses. Moreover, we validated the classifier by testing another nine samples. Expression levels of miR-150-5p, miR-150-5p/miR-155-5p, miR-378a-3p/miR-150-5p, miR-636/miR-150-5p, miR-150-5p/miR-210-3p, and miR-19b-1–5p/miR-378a-3p were shown to be significantly different between UC and non-UC samples (P = 0.035, 0.0048, 0.016, 0.024, 0.038, and 0.048). Kaplan-Meier curve analysis also showed that low miR-19b-1-5p expression was associated with a worse prognosis (P = 0.0382). We also developed a miRNA classifier based on five miRNA expression levels to predict UC and found that the area under curve was 0.882. The classifier had a sensitivity of 80% (95% confidence interval: 0.5191% to 0.9567%) and a specificity of 83.7% (95% confidence interval: 0.6799% to 0.9381%). This classifier was tested by nine samples with 100% accuracy. The miRNA classifier offers higher sensitivity and specificity than the existing makers. Thus, this approach will improve the prospective diagnosis of UC in patients undergoing chronic hemodialysis.

Original languageEnglish
Pages (from-to)F1094-F1102
JournalAmerican Journal of Physiology - Renal Physiology
Volume316
Issue number6
DOIs
StatePublished - Jun 2019

Keywords

  • Biomarker
  • Chronic hemodialysis
  • MicroRNA
  • Urothelial carcinoma

Fingerprint

Dive into the research topics of 'Plasma miRNA profile is a biomarker associated with urothelial carcinoma in chronic hemodialysis patients'. Together they form a unique fingerprint.

Cite this