ArticleIn vivo (Athens, Greece)
Identification of Salivary Proteomic Biomarkers for Oral Cancer Screening.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- DNA methylation markers for oral cancer detection in non- and minimally invasive samples: a systematic review.Clinical epigenetics · 2024Pooled it
- A systematic review of proteomic biomarkers in oral squamous cell cancer.World journal of surgical oncology · 2021Pooled it
- Analysis of salivary metabolites and microbial characteristics in patients with dental fluorosis.Clinical oral investigations · 2026Article
- Salivary Proteome Role in Infection and Immunity.Advances in experimental medicine and biology · 2026Review
- Proteomic identification and histopathological validation of candidate biomarkers CA1, HBB, Torsin A, andFrontiers in medicine · 2026Article
- Salivary Biomarkers as Prognostic Tools in Oral Squamous Cell Carcinoma: A Systematic Review of Survival and Progression Outcomes.Dentistry journal · 2025Review
- Cornulin as a Key Diagnostic and Prognostic Biomarker in Cancers of the Squamous Epithelium.Genes · 2024Review
- Salivary metabolites as potential predictive biomarkers for lung surgery complications: a retrospective cross-sectional study.Surgery today · 2024Article
- Salivary Biomarkers for Oral Cancer Detection: An Exploratory Systematic Review.International journal of molecular sciences · 2024Article
- Factors influencing delayed referral of oral cancer patients from family dentists to the core hospital.Journal of dental sciences · 2024Article
- The role of cornulin (CRNN) in the progression of cutaneous squamous cell carcinoma involving AKT activation in SCL-1.PloS one · 2024Article
- Alpha-fetoprotein, glypican-3, and kininogen-1 as biomarkers for the diagnosis of hepatocellular carcinoma.International journal of clinical and experimental pathology · 2024Review
- Salivary proteomics profiling reveals potential biomarkers for chronic kidney disease: a pilot study.Frontiers in medicine · 2024Article
- Qualitative and Quantitative Mass Spectrometry in Salivary Metabolomics and Proteomics.Metabolites · 2023Review
- Mass Spectrometry-Based Proteomics Workflows in Cancer Research: The Relevance of Choosing the Right Steps.Cancers · 2023Review
- Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- Advances in the Diagnosis, Monitoring, and Progression of Oral Cancer through Saliva: An Update.BioMed research international · 2022Article
- Clinical Proteomics of Biofluids in Haematological Malignancies.International journal of molecular sciences · 2021Review
- Oral Lichen Planus: An Updated Review of Etiopathogenesis, Clinical Presentation, and Management.Indian dermatology online journalReview
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimThe current study aimed to identify biomarkers for differentiating between patients with oral cancer (OC) and healthy controls (HCs) on the basis of the comprehensive proteomic analyses of saliva samples by using liquid chromatography-mass spectrometry (LC-MS/MS). PATIENTS AND
methodsUnstimulated saliva samples were collected from 39 patients with OC and from 31 HCs. Proteins in the saliva were comprehensively analyzed using LC-MS/MS. To differentiate between patients with OC and HCs, a multiple logistic regression model was developed for evaluating the discriminatory ability of a combination of multiple markers.
resultsA total of 23 proteins were significantly differentially expressed between the patients with OC and the HCs. Six out of the 23 proteins, namely α-2-macroglobulin-like protein 1, cornulin, hemoglobin subunit β, Ig k chain V-II region Vk167, kininogen-1 and transmembrane protease serine 11D, were selected using the forward-selection method and applied to the multiple logistic regression model. The area under the curve for discriminating between patients with OC and HCs was 0.957 when the combination of the six metabolites was used (95% confidence interval=0.915-0.998; p<0.001). Furthermore, these candidate proteins did not show a stage-specific difference.
conclusionThe results of the current study showed that six salivary proteins are potential non-invasive biomarkers for OC screening.
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