A tailored histology-driven molecular profiling algorithm proposal for salivary gland cancers
Our data support the clinical implementation of a tailored, histology-driven MP algorithm, potentially optimizing the genomic testing resources in SGCs.
Authors
- Imperia Nuzzolese (ORCID: https://orcid.org/0000-0001-6293-5301)
- Federica Perrone (ORCID: https://orcid.org/0000-0002-4079-8972)
- A. Vingiani
- Silvia Buriolla (ORCID: https://orcid.org/0000-0001-8076-856X)
- Adele Busico (ORCID: https://orcid.org/0000-0002-5808-0387)
- Luca Agnelli (ORCID: https://orcid.org/0000-0003-0582-6170)
- Cristiana Bergamini (ORCID: https://orcid.org/0000-0001-7616-5125)
- Arianna Ottini (ORCID: https://orcid.org/0000-0003-4239-8072)
- Pasquale Quattrone (ORCID: https://orcid.org/0000-0002-1187-1325)
- Elena Conca (ORCID: https://orcid.org/0000-0003-2052-8104)
- Giancarlo Pruneri (ORCID: https://orcid.org/0000-0002-7963-7172)
- Elena Tamborini (ORCID: https://orcid.org/0000-0002-3819-8687)
- A.G. Leone
- Iolanda Capone (ORCID: https://orcid.org/0000-0002-6572-614X)
- Carolina Sciortino
- L.D. Locati
- R. Romanò
- S. Alfieri
- S. Cavalieri
- S. Rota
- E. Colombo
- L. Licitra
Institutions
- Istituti Clinici Scientifici Maugeri (IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
Publication Details
- Journal
- ESMO Open
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1016/j.esmoop.2025.106033
- Primary Topic
- Salivary Gland Disorders and Functions
- Type
- article
- Field-Weighted Citation Impact
- 0.00