Dados do Resumo

Título

IDENTIFICATION OF THE PROTEOMIC PROFILE IN SALIVARY GLAND MUCOEPIDERMOID CARCINOMA

Introdução

Mucoepidermoid carcinoma (MEC) is the most common malignant tumor of the salivary glands. Its clinical behavior is highly variable, its growth is slow, locally aggressive and metastatic. Histologically, MEC is composed by mucinous, intermediate, and epidermoid cells. Proteomic analyzes provides an understanding of the biological behavior of the tumor, allowing its diagnosis, classification and indicating new therapeutic paths.

Objetivo

The aim of this study is to determine the proteomic profile in metastatic and non-metastatic mucoepidermoid carcinoma, compared with normal samples.

Métodos

Proteomics analyses of 15 tissue samples from MEC patients and normal samples will be performed. The mass spectrometry (MS) analyses will be carried out using the nanoElute nanoflow chromatographic system, from Bruker Daltonics, Bremen, Germany, coupled online to a hybrid trapped ion mobility spectrometry-quadrupole time-of-flight mass spectrometer-timsTof Pro. The raw files will be processed in the MaxQuant software, version 2.4.0.0. The Perseus analysis software, version 2.0.9.0 (Tyanova and Cox, 2018), will be used to filter the proteomic results. We will use metaboanalyst software for Heatmap and the t-test to evaluate the significance of an association between the cluster of the heatmap and demographics and clinical data. The study was approved by the Research Ethics Committee (protocol 2837/20).

Resultados

We expect with this study to identify e quantify differentially expressed proteins in mucoepidermoid carcinoma, distinguishing metastatic and non-metastatic subtypes. These proteins may indicate possible biomarkers to aid in the diagnosis or prognosis of mucoepidermoid carcinoma of the salivary glands. The evaluation of the protein profile will facilitate the understanding of the signaling pathways, cell proliferation, invasion, resistance to apoptosis and their biological functions. These results can contribute to the advancement of therapeutic approaches.

Conclusões

According with described in results sections, we expected to establish a different molecular profile between metastatic and non metastatic of Mucoepidermoid Carcinoma samples

Palavras Chave

proteomics; biomarkers; mucoepidermoid carcinoma