Expression of salivary biomarkers in patients with oral mucositis: evaluation by SELDI-TOF/MS

Olga Di Fede, Giuseppina Campisi, Giovanni Giannatempo, Perrone, Giuseppe Colella, Ardito, Michele Giuliani, Lorenzo Lo Muzio, L. Lo Lo Muzio, Gianfranco Favia

Risultato della ricerca: Articlepeer review

10 Citazioni (Scopus)


OBJECTIVE: This study aims to evaluate changes in proteomic salivary profile of patients with oral mucositis after adjuvant cancer treatments. MATERIALS AND METHODS: Samples were collected from patients after adjuvant cancer therapies, and were analyzed by means of SELDI/TOF. Patients were sepa- rated in two groups: patients affected by mucositis (MUCOSITIS) and patient without mucositis (NO MUCOSITIS). All patients were divided in function of the anticancer treatment: patients who had radiother- apy (MUCOSITIS RADIO), had not radiotherapy (MUCOSITIS NO RADIO), had chemotherapy (MUCO- SITIS CHEMO), and those who had not chemotherapy (MUCOSITIS NO CHEMO). Statistical evaluation PCA (Principal Component Analysis) was conducted with the software BIO-RAD Data ManagerTM (Version 3.5). RESULTS: We found the increased peaks of 3443, 3487, and 4135 m/z in MUCOSITIS group, while 6237 m/z was reduced. These same peaks would the same modifica- tions in MUCOSITIS RADIO, while in MUCOSITIS CHEMIO are increased 3443 and 6237 m/z but 3487, 4135 m/z are reduced. These data were confirmed by the PCA. CONCLUSION: Anticancer therapy influenced the level expression of many salivary biomarkers in mucositis with a good significance. Therefore, 3443, 3487, 4135, and 6237 m/z are good biomarker candidates of oral mucositis.
Lingua originaleEnglish
pagine (da-a)209-219
Numero di pagine11
RivistaOral Diseases
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.3500.3500???


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