A tailored histology-driven molecular profiling algorithm proposal for salivary gland cancers.

ABSTRACT:

Background

Salivary gland cancers (SGCs) are rare, heterogeneous malignancies with limited systemic therapies. This study aimed to define a histology-driven molecular profiling (MP) algorithm for SGCs to optimize testing strategies and support therapeutic decision-making.

Materials and methods

We retrospectively analyzed all SGC patients who underwent MP (2016-2023) for gene rearrangements and pathogenic/likely pathogenic DNA variants (P-LPV). We considered adenoid cystic carcinomas (AdCCs) versus non-AdCCs, the latter as low aggression (LA) or high aggression (HA). MP included DNA/RNA next-generation sequencing (NGS). Immunohistochemistry (IHC) ± fluorescence in situ hybridization (FISH) were used for human epidermal growth factor receptor 2 (HER2) status, and IHC for andro

SUBMITTER: Alfieri S 

PROVIDER: S-EPMC12834906 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature