Comparative analysis of miRNA-mRNA interaction prediction tools based on experimental head and neck cancer data
miRWalk emerged as the most robust tool for predicting miRNA-mRNA interactions. Our findings highlight the importance of integrating bioinformatics predictions with experimental data to better understand the regulatory networks in HNSCC and identify potential biomarkers for diagnosis and therapy.
Authors
- Patrícia Severino (ORCID: https://orcid.org/0000-0002-6682-9343)
- Rafael Pereira de Souza (ORCID: https://orcid.org/0000-0001-5916-9730)
- Rafael De Cicco (ORCID: https://orcid.org/0000-0003-2505-0461)
- Eloíza H. Tajara (ORCID: https://orcid.org/0000-0002-2603-2057)
- Bárbara dos Santos Dias (ORCID: https://orcid.org/0009-0004-5643-4518)
- Larissa Figueiredo Alves Diniz (ORCID: https://orcid.org/0000-0002-3094-661X)
- Denise da Cunha Pasqualin (ORCID: https://orcid.org/0000-0003-0087-6347)
- L. Ferreira (ORCID: https://orcid.org/0000-0001-7732-8520)
- Lucca D'Arco Corrêa
Institutions
- Faculdade de Medicina de São José do Rio Preto (BR)
- Universidade de São Paulo (BR)
- Hospital Israelita Albert Einstein (BR)
- Instituto do Câncer do Estado de São Paulo (BR)
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Einstein (São Paulo)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.31744/einstein_journal/2025ao1372
- Citations
- 2
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior