6533b7d4fe1ef96bd126344b
RESEARCH PRODUCT
Expression of salivary biomarkers in patients with oral mucositis: evaluation by SELDI-TOF/MS.
Giuseppe ColellaD. PerroneO. Di FedeLorenzo Lo MuzioFatima ArditoGiuseppina CampisiM. GiulianiGf FaviaG Giannatemposubject
0301 basic medicineAdultMalemedicine.medical_specialtySalivaPathologymedicine.medical_treatmentGastroenterologySELDI-TOF/MS; biomarker discovery; oral mucositis; saliva; Adult; Aged; Aged 80 and over; Biomarkers; Chemotherapy Adjuvant; Female; Humans; Male; Middle Aged; Neoplasms; Radiation Injuries; Radiotherapy Adjuvant; Saliva; Stomatitis; Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization03 medical and health sciences0302 clinical medicineInternal medicineNeoplasmsbiomarker discoverymedicineMucositisHumansRadiation InjurieRadiation InjuriesSalivaGeneral DentistryStomatitisAgedAged 80 and overChemotherapyStomatitisbusiness.industryCancerSELDI-TOF/MSBiomarkerMiddle Agedmedicine.diseaseStomatitiRadiation therapy030104 developmental biologyOtorhinolaryngologyChemotherapy Adjuvant030220 oncology & carcinogenesisSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationBiomarker (medicine)NeoplasmFemaleRadiotherapy AdjuvantbusinessAdjuvantoral mucositiBiomarkersHumandescription
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 separated 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 radiotherapy (MUCOSITIS RADIO), had not radiotherapy (MUCOSITIS NO RADIO), had chemotherapy (MUCOSITIS CHEMO), and those who had not chemotherapy (MUCOSITIS NO CHEMO). Statistical evaluation PCA (Principal Component Analysis) was conducted with the software BIO-RAD Data Manager™ (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 modifications 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. 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 separated 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 radiotherapy (MUCOSITIS RADIO), had not radiotherapy (MUCOSITIS NO RADIO), had chemotherapy (MUCOSITIS CHEMO), and those who had not chemotherapy (MUCOSITIS NO CHEMO). Statistical evaluation PCA (Principal Component Analysis) was conducted with the software BIO-RAD Data Manager™ (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 modifications 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-01 | Oral diseases |