Updated project metadata. Salivary gland tumors account for approximately 3% of head and neck cancers and are extremely diverse in terms of clinical manifestation and histology. In this paper, we present the preliminary results of research aimed at developing a method for identifying neoplastic lesions in the salivary glands based on the analysis of peptides contained in the patients' saliva. The composition of the peptidome extracted from 18 cancer tissue samples and 18 healthy tissues samples were analyzed using mass-spectrometry. PBS and 0.1% trifluoroacetic acid were used to extract the peptide fraction from the tissue samples. The peptidome compositions of the saliva of patients (11 samples) and the saliva of healthy individuals (8 samples) were also analyzed. Using the bioinformatics analysis, a group of peptides (109 peptides) was selected that are present only in extracts from cancer tissues and in samples of patients' saliva. Some of the identified peptides come from proteins that in previous studies were indicated as potential biomarkers of salivary gland tumors (ANXA1, BPIFA2, FGB, GAPDH, HSPB1, IGHG1, VIM) or tumors of other tissues or organs (SERPINA1, APOA2, CSTB, GSTP1, S100A8, S100A9, TPI1). Using the OpenProt database, potential peptide biomarkers derived from pseudogenes or protein isoforms were also identified. Potential peptide biomarkers identified in this paper may be used as a starting point for studies on a larger number of clinical samples aimed at possible selection of a biomarker of clinical significance.