Urinary microRNA-long non coding RNA association : Biomarkers for the diagnosis of bladder cancer / Maheera H. Safwat ; Supervised Amira A. Shaheen , Maha M. Elsawalhi , Sanaa E. Mohamed

Thesis (Ph.D.) - Cairo University - Faculty of Pharmacy - Department of Biochemistry

Competing endogenous RNA network: MicroRNA (miRNA), long noncoding RNA (lncRNA) and their target autophagy genes have been strongly implicated in tumor development and metastasis and might display diagnostic potential in the detection of bladder cancer. Independent, reliable and non-invasive biomarkers for the diagnosis and prognostic prediction of bladder cancer are urgently needed to improve monitoring sensitivity and decrease follow-up costs. Bioinformatics analysis was performed to retrieve a ceRNA (competing endogenous RNA): lncRNA-miRNA-mRNA network linked to autophagy and relevant to bladder cancer. Expression of selected noncoding human RNAs (miR-324-5p, miR-4738-3p, and lncRNA miR-497-HG) and their target genes (RCAN1 mRNA and FOSB mRNA) was examined by qPCR in bladder tissues and urine samples obtained from 196 individuals (98 patients with bladder cancer, 48 patients with benign lesions and 50 healthy controls). Expression levels of the selected genes in urine samples in the bladder cancer group were significantly different from those in the control group (P <0.001). Expression in bladder cancer tissue samples correlated with that in urine samples. Urinary expression levels of all biomarkers had high accuracy to distinguish patients with and without bladder cancer, with FOSB mRNA and RCAN1 mRNA having the highest accuracy (99% for RCAN1 mRNA or FOSB mRNA, 87.8% for miR-324-5p, 84.7% for miR-4738-3p and 90.5% for lncRNA miR-497-HG). FOSB mRNA and RCAN1 mRNA expression showed also a higher accuracy than cytology (77.6%)

Issued also as CD