BMC Veterinary Research · 2020 · 11 citations · 39 references
DentistryBiochemistryMolecular BiologyOral DiagnosisOral OncologyProteomicsMalignant Oral TumorsOral Cancer BiomarkersOral Cancer PrognosisProteomic ProfilingSalivary BiomarkersSalivary ProteomicsMass Spectrometry ProteomicsMass Spectrometry-based Salivary ProteomicsProtein Expression BiomarkersSalivary Biomarker AnalysisSalivary Biomarker ProfilingSalivary Cancer BiomarkersSalivary Protein BiomarkersWhole Saliva Collection
BACKGROUND: Various types of oral tumors, either benign or malignant, are commonly found in dogs. Since saliva directly contacts the tumors and saliva collection is non-invasive, easily accessible and cost effective, salivary biomarkers are practical to be used for the diagnosis and/or prognosis of these diseases. However, there is limited knowledge of protein expression in saliva for canine oral tumors. The present study aimed to investigate novel biomarkers from the salivary proteome of dogs with early- and late-stage oral melanoma (EOM and LOM, respectively), oral squamous cell carcinoma (OSCC), benign oral tumors (BN), and periodontitis and healthy controls (CP), using an in-gel digestion coupled with mass spectrometry (GeLC-MS/MS). The relationships between protein candidates and chemotherapy drugs were explored and the expression of potential biomarkers in saliva and tissues was verified by western blot analysis. RESULTS: For saliva samples, increased expression of protein tyrosine phosphatase non-receptor type 5 (PTPN5) was shown in all tumor groups compared with the CP group. Marked expression of PTPN5 was also observed in LOM and OSCC compared with that in BN and EOM. In addition, tumor protein p53 (p53), which appeared in the PTPN5-drug interactions, was exhibited to be expressed in all tumor groups compared with that in the CP group. For tissue samples, increased expression of p53 was shown in LOM compared with the control group. CONCLUSION: PTPN5 and p53 were proposed to be potential salivary biomarkers of canine oral tumors.
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PANTHER: A Library of Protein Families and Subfamilies Indexed by Function
Paul D. Thomas, Michael J. Campbell, Anish Kejariwal et al. · Genome Research · 2003 · 3.1K citations · Full text
jvenn: an interactive Venn diagram viewer
Philippe Bardou, Jérôme Mariette, Fréderic Escudié et al. · BMC Bioinformatics · 2014 · 2.5K citations · Full text