Diagnostic and Prognostic Value of Three microRNAs in Environmental Asbestiform Fibers-Associated Malignant Mesothelioma.
Veronica FilettiCarla LoretoLuca FalzoneClaudia LombardoEmanuele CannizzaroSergio CastorinaCaterina LeddaVenerando RapisardaPublished in: Journal of personalized medicine (2021)
Fluoro-edenite (FE) is an asbestiform fiber identified in Biancavilla (Sicily, Italy). Environmental exposure to FE has been associated with a higher incidence of malignant mesothelioma (MM). The present study aimed to validate the predicted diagnostic significance of hsa-miR-323a-3p, hsa-miR-101-3p, and hsa-miR-20b-5p on a subset of MM patients exposed to FE and matched with healthy controls. For this purpose, MM tissues vs. nonmalignant pleura tissues were analyzed through droplet digital PCR (ddPCR) to evaluate differences in the expression levels of the selected miRNAs and their MM diagnostic potential. In addition, further computational analysis has been performed to establish the correlation of these miRNAs with the available online asbestos exposure data and clinic-pathological parameters to verify the potential role of these miRNAs as prognostic tools. ddPCR results showed that the three analyzed miRNAs were significantly down-regulated in MM cases vs. controls. Receiver operating characteristic (ROC) analysis revealed high specificity and sensitivity rates for both hsa-miR-323a-3p and hsa-miR-20b-5p, which thus acquire a diagnostic value for MM. In silico results showed a potential prognostic role of hsa-miR-101-3p due to a significant association of its higher expression and increased overall survival (OS) of MM patients.
Keyphrases
- end stage renal disease
- human health
- ejection fraction
- newly diagnosed
- poor prognosis
- gene expression
- chronic kidney disease
- prognostic factors
- single cell
- peritoneal dialysis
- primary care
- patient reported outcomes
- transcription factor
- social media
- risk assessment
- climate change
- positron emission tomography
- big data
- deep learning
- data analysis
- molecular dynamics simulations