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Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach

SIMPLE SUMMARY: The majority of patients with bladder cancer are diagnosed before the malignant cells invade the bladder’s muscle wall, and can be treated with surgery. These patients are nevertheless at high risk of disease recurrence and progression to muscle-invasive disease, and must undergo per...

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Autores principales: Cavallari, Ilaria, Grassi, Angela, Del Bianco, Paola, Aceti, Alberto, Zaborra, Carlotta, Sharova, Evgeniya, Bertazzolo, Irene, D’Agostino, Donna M., Iafrate, Massimo, Ciminale, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692037/
https://www.ncbi.nlm.nih.gov/pubmed/33114775
http://dx.doi.org/10.3390/cancers12113133
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author Cavallari, Ilaria
Grassi, Angela
Del Bianco, Paola
Aceti, Alberto
Zaborra, Carlotta
Sharova, Evgeniya
Bertazzolo, Irene
D’Agostino, Donna M.
Iafrate, Massimo
Ciminale, Vincenzo
author_facet Cavallari, Ilaria
Grassi, Angela
Del Bianco, Paola
Aceti, Alberto
Zaborra, Carlotta
Sharova, Evgeniya
Bertazzolo, Irene
D’Agostino, Donna M.
Iafrate, Massimo
Ciminale, Vincenzo
author_sort Cavallari, Ilaria
collection PubMed
description SIMPLE SUMMARY: The majority of patients with bladder cancer are diagnosed before the malignant cells invade the bladder’s muscle wall, and can be treated with surgery. These patients are nevertheless at high risk of disease recurrence and progression to muscle-invasive disease, and must undergo periodic cystoscopy and urine cytology, procedures that are burdensome for the patient and for the healthcare system. We set out to identify a follow-up/risk assessment test that analyzes the levels of a specific class of RNA molecules (microRNAs) in urine samples. Results led to the discovery of a panel of microRNAs in urine samples that identifies high-risk bladder cancer patients with high accuracy and predicts event-free survival. This urine microRNA assay thus holds promise as a noninvasive alternative to current methods for bladder cancer follow-up. ABSTRACT: Robust non-invasive tests for prognostic stratification of bladder cancer (BCa) patients are in high demand. Following a comprehensive analysis of studies on BCa, we selected a panel of 29 microRNAs (miRNAs) and analyzed their levels in urine and plasma samples in a prospective cohort of 63 BCa patients (32 at high risk of recurrence and 31 low-risk cases) and 37 healthy controls using RT-qPCR. To design an assay suitable for large-scale testing, we applied a hierarchical pipeline to select the miRNAs that were not affected by confounding factors such as haematuria and urine specific gravity, and exceeded stringent cut-off criteria (fold change > 2.5 and p-value < 0.005). Using a two-step decision tree based on the urine levels of miR-34a-5p, miR-200a-3p and miR-193a-5p, normalized against miR-125b-5p, patients could be classified as high- or low-risk with a sensitivity of 0.844, specificity of 0.806 and accuracy of 0.825. Furthermore, univariate Cox proportional hazards regression analyses indicated that increased urine levels of miR-29a-3p, miR-34a-5p, miR-193a-5p, miR-200c-3p, miR-205-5p and miR-532-5p were associated with a shorter event-free survival (hazard ratios > 3.1, p-value < 0.05). Taken together, our findings suggest that measuring the urine levels of these miRNAs could provide a novel cost-effective, noninvasive test for risk assessment of BCa patients.
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spelling pubmed-76920372020-11-28 Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach Cavallari, Ilaria Grassi, Angela Del Bianco, Paola Aceti, Alberto Zaborra, Carlotta Sharova, Evgeniya Bertazzolo, Irene D’Agostino, Donna M. Iafrate, Massimo Ciminale, Vincenzo Cancers (Basel) Article SIMPLE SUMMARY: The majority of patients with bladder cancer are diagnosed before the malignant cells invade the bladder’s muscle wall, and can be treated with surgery. These patients are nevertheless at high risk of disease recurrence and progression to muscle-invasive disease, and must undergo periodic cystoscopy and urine cytology, procedures that are burdensome for the patient and for the healthcare system. We set out to identify a follow-up/risk assessment test that analyzes the levels of a specific class of RNA molecules (microRNAs) in urine samples. Results led to the discovery of a panel of microRNAs in urine samples that identifies high-risk bladder cancer patients with high accuracy and predicts event-free survival. This urine microRNA assay thus holds promise as a noninvasive alternative to current methods for bladder cancer follow-up. ABSTRACT: Robust non-invasive tests for prognostic stratification of bladder cancer (BCa) patients are in high demand. Following a comprehensive analysis of studies on BCa, we selected a panel of 29 microRNAs (miRNAs) and analyzed their levels in urine and plasma samples in a prospective cohort of 63 BCa patients (32 at high risk of recurrence and 31 low-risk cases) and 37 healthy controls using RT-qPCR. To design an assay suitable for large-scale testing, we applied a hierarchical pipeline to select the miRNAs that were not affected by confounding factors such as haematuria and urine specific gravity, and exceeded stringent cut-off criteria (fold change > 2.5 and p-value < 0.005). Using a two-step decision tree based on the urine levels of miR-34a-5p, miR-200a-3p and miR-193a-5p, normalized against miR-125b-5p, patients could be classified as high- or low-risk with a sensitivity of 0.844, specificity of 0.806 and accuracy of 0.825. Furthermore, univariate Cox proportional hazards regression analyses indicated that increased urine levels of miR-29a-3p, miR-34a-5p, miR-193a-5p, miR-200c-3p, miR-205-5p and miR-532-5p were associated with a shorter event-free survival (hazard ratios > 3.1, p-value < 0.05). Taken together, our findings suggest that measuring the urine levels of these miRNAs could provide a novel cost-effective, noninvasive test for risk assessment of BCa patients. MDPI 2020-10-26 /pmc/articles/PMC7692037/ /pubmed/33114775 http://dx.doi.org/10.3390/cancers12113133 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cavallari, Ilaria
Grassi, Angela
Del Bianco, Paola
Aceti, Alberto
Zaborra, Carlotta
Sharova, Evgeniya
Bertazzolo, Irene
D’Agostino, Donna M.
Iafrate, Massimo
Ciminale, Vincenzo
Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title_full Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title_fullStr Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title_full_unstemmed Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title_short Prognostic Stratification of Bladder Cancer Patients with a MicroRNA-Based Approach
title_sort prognostic stratification of bladder cancer patients with a microrna-based approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692037/
https://www.ncbi.nlm.nih.gov/pubmed/33114775
http://dx.doi.org/10.3390/cancers12113133
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