The MicroRNA Prediction Models as Ancillary Diagnosis Biomarkers for Urothelial Carcinoma in Patients With Chronic Kidney Disease

Frontiers in Medicine

Bang-Gee Hsu¹  Mai-Szu Wu²  Chiu-Ching Huang³  Nianhan Ma⁴  An-Lun Li⁴  Chien-Lung Chen⁵  Chia-Chu Chang⁶  Ming-Cheng Wang⁷  Che-Yi Chou⁸  Kun-Lin Wu^1,10  Hung-Chun Chen^1,11  Shih-Chieh Lin^1,12 

[1] 0Division of Nephrology, Buddhist Tzu Chi General Hospital, Hualien, Taiwan;1Division of Nephrology, Taipei Medical University and Hospitals, Taipei, Taiwan;2Division of Nephrology and The Kidney Institute, China Medical University and Hospitals, Taichung, Taiwan;Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan;Department of Nephrology, Landseed International Hospital, Taoyuan, Taiwan;Department of Nutrition, Hungkuang University, Taichung, Taiwan;Division of Nephrology, Cheng Kung University Hospital, Tainan, Taiwan;Division of Nephrology, Department of Internal Medicine, Asia University Hospital, Taichung, Taiwan;Division of Nephrology, Department of Internal Medicine, Kuang Tien General Hospital, Taichung, Taiwan;Division of Nephrology, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan;Division of Nephrology, Kaohsiung Medical University, Kaohsiung, Taiwan;Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan;

关键词: microRNA (miRNA);    urothelial carcinoma (UC);    chronic kidney disease;    biomarker;    biofluid;   

DOI  :  10.3389/fmed.2021.726214

来源: DOAJ

【 摘 要 】

Urothelial carcinoma is a common urological cancer in chronic kidney disease patients. Cystoscopy and urine cytology are the clinical diagnostic tools for UC. However, cystoscopy is an invasive procedure, while urine cytology showed low sensitivity for low-grade urothelial tumors. High accuracy with non-invasive tools for UC is needed for CKD patients. Our study collected a total of 272 urine and 138 plasma samples to detect the miRNA expression levels for establishing UC signatures from CKD patients. Seventeen candidate miRNAs of biofluids were selected and confirmed by qRT-PCR. Our results showed that urinary miR-1274a and miR-30a-5p expression levels were significantly lower but miR-19a-5p expression levels were higher in UC when compared with CKD. In plasma samples, miR-155-5p, miR-19b-1-5p, miR-378, and miR-636 showed significantly lower expression in UC compared to those with CKD. The Kaplan-Meier curve showed that lower expression of miR-19a, miR-19b, miR-636 and miR-378, and higher expression of miR-708-5p were associated with poor prognosis in patients with bladder cancer. In addition, we produced classifiers for predicting UC by multiple logistic regression. The urine signature was developed with four miRNAs, and the AUC was 0.8211. Eight miRNA expression levels from both urine and plasma samples were examined, and the AUC was 0.8595. Two miRNA classifiers and the nomograms could improve the drawbacks of current UC biomarker screenings for patients with CKD.

【 授权许可】

Unknown