Identification of Key miRNAs in Endometriosis
This study lays the foundation for the identification of key miRNAs involved in the disease pathogenesis to unveil the molecular signatures in the complex scenario of endometriosis. Further validation and exploration of these findings are needed to develop tools to improve molecular diagnosis and to create a machine-learning prediction algorithm in the future.
Authors
- Giuseppe Coppola (ORCID: https://orcid.org/0000-0001-7139-3719)
- Riccardo Giannico
- Saviana Antonella Barbati (ORCID: https://orcid.org/0000-0002-7574-0201)
- Graziella Calugi (ORCID: https://orcid.org/0009-0007-6001-1552)
- Luca Forlani
- Francesca Blandino
- Noemi Meschino
- Ilde Cecchinelli
- Antonietta Cosco Mazzuca
- Valentina Veltri
Institutions
- Saint Camillus International University of Health and Medical Sciences (IT)
- Ospedale San Filippo Neri (IT)
- Samo (Italy) (IT)
Publication Details
- Journal
- MicroRNA
- Published
- 2024-10-28
- DOI
- https://doi.org/10.2174/0122115366333556241014115206
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00