Adenoid cystic carcinoma
(ACC) belongs to salivary gland malignancies
commonly occurring in an oral cavity with a poor long-term prognosis.
The potential biomarkers and cellular functions acting on local recurrences
and distant metastases remain to be illustrated. Proteomics is the
core content of precision medicine research, which provides accurate
information for early detection of cancer, benign and malignant diagnosis,
classification and personalized medication, efficacy monitoring, and
prognosis judgment. To obtain a comprehensive regulation network and
supply clues for the treatment of oral ACC (OACC), we utilized mass
spectrometry-based quantitative proteomics to analyze the protein
expression profile in paired tumor and adjacent normal tissues. We
identified a total of 40,547 specific peptides and 4454 differentially
expressed proteins (DEPs), in which HAPLN1 was the most upregulated
protein and BPIFB1 was the most downregulated. Then, we annotated
the functions and characteristics of DEPs in detail from the aspects
of gene ontology, subcellular structural localization, KEGG, and protein
domain to thoroughly understand the identified and quantified proteins.
Glycosphingolipid biosynthesis and glycosaminoglycan degradation pathways
showed the biggest difference according to KEGG analysis. Moreover,
we confirmed 20 proteins from the ECM-receptor signaling pathway by
a parallel reaction monitoring quantitative detection and 19 proteins
were quantified. This study provides useful insights to analyze DEPs
in OACC and guide in-depth thinking of the pathogenesis from a proteomics
view for anticancer mechanisms and potential biomarkers.