ArticleClinical oral investigations2019
Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions.
Article in Clinical oral investigations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 44 citations in OpenAlex.
- Systematic verification of saliva-based biosignatures for oral cancer via targeted metabolomics.Journal of food and drug analysis · 2026Article
- Cross-sectional associations between CES-D scores and the salivary metabolome in nonclinical adults.Discover mental health · 2026Article
- Relationship Between Salivary Metabolites and Skeletal Muscle Index in Older Male Patients: A Retrospective Observational Pilot Study to Identify Potential Biomarkers.Journal of aging research · 2026Article
- Sensitivity Analysis of a New Cancer Risk Assessment Tool That Evaluates Salivary Polyamines.Cureus · 2025Article
- The Global Trends and Advances in Oral Microbiome Research on Oral Squamous Cell Carcinoma: A Systematic Review.Microorganisms · 2025Review
- Metabolomic Profiling of Oral Potentially Malignant Disorders and Its Clinical Values.Biomedicines · 2024Review
- Review
- Biological biomarkers of oral cancer.Periodontology 2000 · 2024Review
- Salivary Metabolites Produced by Oral Microbes in Oral Diseases and Oral Squamous Cell Carcinoma: A Review.Metabolites · 2024Review
- Salivary Biomarkers for Oral Cancer Detection: An Exploratory Systematic Review.International journal of molecular sciences · 2024Article
- Evaluation of Metabolomics as Diagnostic Targets in Oral Squamous Cell Carcinoma: A Systematic Review.Metabolites · 2023Review
- Oral Sources of Salivary Metabolites.Metabolites · 2023Review
- Review
- Identification of a polyamine-related signature and six novel prognostic biomarkers in oral squamous cell carcinoma.Frontiers in molecular biosciences · 2023Article
- Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis-Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Salivary Metabolomics for Oral Squamous Cell Carcinoma Diagnosis: A Systematic Review.Metabolites · 2022Review
- Beyond liquid biopsy: Toward non-invasive assays for distanced cancer diagnostics in pandemics.Biosensors & bioelectronics · 2022Review
- Identification of Possible Salivary Metabolic Biomarkers and Altered Metabolic Pathways in South American Patients Diagnosed with Oral Squamous Cell Carcinoma.Metabolites · 2021Article
- Salivary Metabolomics for Diagnosis and Monitoring Diseases: Challenges and Possibilities.Metabolites · 2021Review
- Advances in Biomarkers and Diagnostics in Periodontitis and Oral Diseases.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveTo identify salivary metabolite biomarkers to differentiate patients with oral squamous cell carcinoma and oral epithelial dysplasia (OSCC/OED) from those with persistent suspicious oral mucosal lesions (PSOML). SUBJECTS AND
methodsWhole unstimulated saliva samples were collected from age-, sex-, and race-matched patients who had a lesion in the oral cavity and for whom open biopsies were performed. The patients included OSCC (n = 6), OED (n = 10), and PSOML (n = 32). Hydrophilic metabolites in saliva samples were comprehensively analyzed using capillary electrophoresis mass spectrometry. To evaluate the discrimination ability of a combination of multiple markers, a multiple logistic regression (MLR) model was developed to differentiate OSCC/OED from PSOML.
resultsSix metabolites were significantly different in OSCC/OED compared with PSOML. From these six metabolites, ornithine, o-hydroxybenzoate, and ribose 5-phosphate (R5P) were used to develop the MLR model, which resulted in a high value for the area under receiver operating characteristic curve (AUC 0.871, 95% confidential interval (CI) 0.760-0.982; p < 0.001) to discriminate OSCC/OED from PSOML.
conclusionsThis is the first study to identify salivary metabolites that discriminate OSCC/OED from PSOML rather than from healthy controls. The profiles of salivary metabolites were significantly different between OSCC/OED and PSOML. The ability to discriminate OSCC/OED from PSOML is important for dentists who are not oral surgery specialists. These salivary metabolites showed potential for non-invasive screening to discriminate OSCC/OED from PSOML. CLINICAL RELEVANCE: Salivary metabolites in this study showed potential for non-invasive screening to discriminate OSCC/OED from PSOML.
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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.