Dysregulated MicroRNAs in Urinary Non-Muscle-Invasive Bladder Cancer: From Molecular Characterization to Clinical Applicability
Let-7g, miR-9, miR-143, miR-182, and miR-205 emerged as promising biomarkers for outcome prediction in NMIBC. Their integration into liquid biopsy platforms could support non-invasive monitoring and personalized treatment strategies. These findings warrant validation in larger, prospective studies and through functional assays.
Authors
- Mohamed Riadh Ben Slama
- Sami Boussetta (ORCID: https://orcid.org/0000-0003-3994-6701)
- Ahlem Blel (ORCID: https://orcid.org/0000-0001-6702-3889)
- Slah Ouerhani (ORCID: https://orcid.org/0000-0002-3651-4690)
- H. Ayed (ORCID: https://orcid.org/0000-0002-7365-0309)
- S. Mokadem (ORCID: https://orcid.org/0000-0002-9226-610X)
- Khedija Meddeb (ORCID: https://orcid.org/0000-0002-3418-1749)
- Mohamed Ali Bedoui (ORCID: https://orcid.org/0000-0003-2919-1173)
- Isabella Manni (ORCID: https://orcid.org/0000-0003-4823-0596)
- Marouene Chakroun (ORCID: https://orcid.org/0000-0002-0385-2917)
- Aymone Gurtner (ORCID: https://orcid.org/0000-0002-7661-9059)
- Nouha Setti Boubaker (ORCID: https://orcid.org/0000-0001-8342-6936)
- Giulia Piaggio (ORCID: https://orcid.org/0000-0003-2114-1892)
- Linda Belhaj Kacem (ORCID: https://orcid.org/0000-0002-1492-9799)
- Zeineb Naimi (ORCID: https://orcid.org/0000-0002-9511-5403)
- Soumaya Rammeh (ORCID: https://orcid.org/0000-0003-0366-4630)
- A. Saadi (ORCID: https://orcid.org/0000-0002-5361-9005)
- Livia Ronchetti (ORCID: https://orcid.org/0000-0002-2367-3852)
Institutions
- Institut Salah-Azaïz (TN)
- Hôpital Charles-Nicolle (TN)
- Istituto di Farmacologia Traslazionale (IT)
- National Cancer Institute (MY)
- National Research Council (IT)
- National Institute of Applied Science and Technology (TN)
- Tunis El Manar University (TN)
Publication Details
- Journal
- Cancers
- Published
- 2025-08-25
- DOI
- https://doi.org/10.3390/cancers17172768
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00