Expression profiling on subclasses of primary parotid gland carcinomas.

ABSTRACT:

Introduction

The underlying molecular mechanisms of parotid gland carcinomas (PGC) are still unknown. Knowledge about the tumor-driving signaling pathways is necessary either for diagnostics or developing new therapeutic options in this heterogeneous and rare entity.

Material and methods

94 matching RNA formalin-fixed and paraffin-embedded tissue samples from PGC and the corresponding non-tumor area, RNA quality and quantity were sufficient for gene expression profiling of 770 genes using the NanoString's nCounter technology. Oncogenic and tumor suppressor genes were examined in the three common PGC tumor entities: adenoid cystic carcinoma (ACC), adenocarcinoma NOS (AC-NOS), and mucoepidermoid carcinoma (MEC).

Results

Expression profiling and subsequent hierarchical c

SUBMITTER: Meinrath J 

PROVIDER: S-EPMC7665229 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature