6533b85bfe1ef96bd12bbf04

RESEARCH PRODUCT

Protein Cargo of Salivary Small Extracellular Vesicles as Potential Functional Signature of Oral Squamous Cell Carcinoma

Simona FontanaGiuseppina CampisiRodolfo MauceriRiccardo AlessandroMaria Eugenia Novara

subject

MaleProteomicsSalivaProteomeQH301-705.5Pilot ProjectsLymph node metastasisExtracellular vesiclesArticleCatalysisInorganic ChemistryFunctional networksExtracellular VesiclesBiomarkers TumorHumansMedicineBasal cellBiology (General)Physical and Theoretical ChemistryLiquid biopsySalivaQD1-999Molecular BiologySpectroscopyAgedAged 80 and overLiquid biopsySquamous Cell Carcinoma of Head and Neckbusiness.industryOrganic ChemistryComputational BiologyGeneral MedicineMiddle AgedComputer Science ApplicationsProtein profilingChemistrystomatognathic diseasesEarly DiagnosisOral squamous cell carcinomaLymphatic MetastasisProteomeSaliva small extracellular vesiclesCancer researchBiomarker (medicine)FemaleMouth Neoplasmsbusiness

description

The early diagnosis of oral squamous cell carcinoma (OSCC) is still an investigative challenge. Saliva has been proposed as an ideal diagnostic medium for biomarker detection by mean of liquid biopsy technique. The aim of this pilot study was to apply proteomic and bioinformatic strategies to determine the potential use of saliva small extracellular vesicles (S/SEVs) as a potential tumor biomarker source. Among the twenty-three enrolled patients, 5 were free from diseases (OSCC_FREE), 6 were with OSCC without lymph node metastasis (OSCC_NLNM), and 12 were with OSCC and lymph node metastasis (OSCC_LNM). The S/SEVs from patients of each group were pooled and properly characterized before performing their quantitative proteome comparison based on the SWATH_MS (Sequential Window Acquisition of all Theoretical Mass Spectra) method. The analysis resulted in quantitative information for 365 proteins differentially characterizing the S/SEVs of analyzed clinical conditions. Bioinformatic analysis of the proteomic data highlighted that each S/SEV group was associated with a specific cluster of enriched functional network terms. Our results highlighted that protein cargo of salivary small extracellular vesicles defines a functional signature, thus having potential value as novel predict biomarkers for OSCC.

yearjournalcountryeditionlanguage
2021-10-01International Journal of Molecular Sciences
https://doi.org/10.3390/ijms222011160