ArticlePloS one2019
Salivary proteomics of canine oral tumors using MALDI-TOF mass spectrometry and LC-tandem mass spectrometry.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Mass spectrometry-based proteomics profiling of dogs with and without oral diseases: a systematic review.BMC oral health · 2024Pooled it
- Beyond the Needle: Is Liquid Biopsy the Future of Veterinary Medicine?International journal of molecular sciences · 2026Review
- Serum Peptidomic Analysis in a Comparative Study of the Efficacy of Benjakul Remedy Versus Loratadine in Allergic Rhinitis Patients.International journal of molecular sciences · 2026Article
- Tissue Proteomics of Feline Mammary Carcinoma: Differences in Protein Profiles Among Histological Grades Using Liquid Chromatography-Tandem Mass Spectrometry.Veterinary and comparative oncology · 2026Article
- Mass spectrometry-based serum peptidomic profiling reveals potential biomarker for canine hepatozoonosis.Scientific reports · 2025Article
- Impact of Tobacco Consumption on Salivary Protein Profiles: A MALDI-TOF Mass Spectrometry Study.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Phosphoproteomic profiling of feline mammary carcinoma: Insights into tumor grading and potential therapeutic targets.PloS one · 2025Article
- Article
- Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023Review
- Utilizing MALDI-TOF MS and LC-MS/MS to access serum peptidome-based biomarkers in canine oral tumors.Scientific reports · 2022Article
- The Future of Biomarkers in Veterinary Medicine: Emerging Approaches and Associated Challenges.Animals : an open access journal from MDPI · 2022Review
- Echocardiography and MALDI-TOF Identification of Myosin-Binding Protein C3 A74T Gene Mutations Involved Healthy and Mutated Bengal Cats.Animals : an open access journal from MDPI · 2022Article
- Faecal Proteomics and Functional Analysis of Equine Melanocytic Neoplasm in Grey Horses.Veterinary sciences · 2022Article
- Beyond liquid biopsy: Toward non-invasive assays for distanced cancer diagnostics in pandemics.Biosensors & bioelectronics · 2022Review
- Saliva Based Liquid Biopsies in Head and Neck Cancer: How Far Are We From the Clinic?Frontiers in oncology · 2022Review
- MALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19.Journal of oral microbiology · 2022Article
- Lung cancer: progression of heat shock protein 70 in association with flap endonuclease 1 protein.3 Biotech · 2021Article
- Article
- Peptide barcodes in dogs affected by mitral valve disease with and without pulmonary hypertension using MALDI-TOF MS and LC-MS/MS.PloS one · 2021Article
- Proteomic profiles of unilateral cryptorchidism in pigs at different ages using MALDI-TOF mass spectrometry and in-gel digestion coupled with mass spectrometry (GeLC-MS/MS) approaches.BMC veterinary research · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Canine oral tumors are relatively common neoplasms in dogs. For disease monitoring and early diagnosis, salivary biomarkers are appropriate because saliva collection is non-invasive and requires no professional skills. In the era of omics, matrix-assisted laser desorption/ionization with time-of-flight mass spectrometry (MALDI-TOF MS) coupled with liquid chromatography-tandem MS (LC-MS/MS) are suitable to identify potential disease-associated peptides and proteins. The present study aimed to use MALDI-TOF MS and LC-MS/MS to search for particular peptide mass fingerprints (PMFs) and conceivable biomarkers in saliva 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). Pooled saliva samples in each group were used to be representative of population change. Unique PMFs were obtained and specific peptide fragments were sequenced by LC-MS/MS and BLAST-searched with mammalian protein databases. Seven peptide fragments appeared in the tumor groups (EOM, LOM, OSCC and BN) at 1096, 1208, 1322, 1794, 1864, 2354 and 2483 Da, two peptide fragments appeared in the LOM and OSCC groups at 2450 and 3492 Da, and in the CP controls at 2544 and 3026 Da. Also, protein-chemotherapy drug interaction networks were exhibited. Using western blot analysis, the expression of sentrin-specific protease 7 (SENP7), a peptide fragment at 1096 Da, in OSCC was significantly increased, as was the expression of TLR4, a peptide fragment at 3492 Da, in LOM and OSCC, compared with the CP group. The expression of nuclear factor kappa B (NF-κB), a TLR4 partner, was notably increased in OSCC compared with CP, BN and EOM. The expression was also enhanced in LOM compared with EOM. Expressed protein sequences from western blots were verified by LC-MS/MS. Western blots were then performed with individual samples in each group. The results showed the elevated expression of TLR4 in LOM and OSCC, compared with that in CP and BN, the increased expression of NF-κB in LOM and OSCC, compared with CP and in LOM compared with BN, and the enhanced expression of SENP7 in LOM and OSCC, compared with that in CP and BN. In conclusion, discrete clusters of EOM, LOM, OSCC, BN and CP groups and potential protein candidates associated with the diseases were demonstrated by salivary proteomics. Western blot analysis verified SENP7, TLR4 and NF-κB as potential salivary biomarkers of canine oral tumors.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.