ArticleScientific reports2020
Possible proteomic biomarkers for the detection of pancreatic cancer in oral fluids.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Salivary metabolites for pancreatic cancer diagnosis: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Extraoral Detection of Biomarkers and Pathogens in Saliva: Comprehensive, Panoramic Review.Biosensors · 2026Review
- Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025Review
- Identification of Salivary Biomarkers in Colorectal Cancer by Integrating Olink Proteomics and Metabolomics.Journal of proteome research · 2025Article
- Proteomic meta-analysis unveils new frontiers for biomarkers research in pancreatic carcinoma.Oncogenesis · 2025Review
- Associations between health, productive performance and oral fluid biomarkers in commercial pig farms.Porcine health management · 2024Article
- Review
- Proteomics-Driven Biomarkers in Pancreatic Cancer.Proteomes · 2023Review
- Applications of Mass Spectrometry in Dentistry.Biomedicines · 2023Review
- Role of salivary miRNAs in the diagnosis of gastrointestinal disorders: a mini-review of available evidence.Frontiers in genetics · 2023Review
- Review
- Diagnostic, Predictive and Prognostic Molecular Biomarkers in Pancreatic Cancer: An Overview for Clinicians.Cancers · 2021Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 80% mortality rate of pancreatic-cancer (PC) makes early diagnosis a challenge. Oral fluids (OF) may be considered the ultimate body fluid for non-invasive examinations. We have developed techniques to improve visualization of minor OF proteins thereby overcoming major barriers to using OF as a diagnostic fluid. The aim of this study was to establish a short discriminative panel of OF biomarkers for the detection of PC. Unstimulated OF were collected from PC patients and controls (n = 30). High-abundance-proteins were depleted and the remaining proteins were analyzed by two-dimensional-gel-electrophoresis and quantitative dimethylation-liquid-chromatography-tandem mass-spectrometry. Label-free quantitative-mass-spectrometry analysis (qMS) was performed on 20 individual samples (n = 20). More than 100 biomarker candidates were identified in OF samples, and 21 had a highly differential expression profile. qMS analysis yielded a ROC-plot AUC value of 0.91 with 90.0% sensitivity and specificity for a combination of five biomarker candidates. We found a combination of five biomarkers for PC. Most of these proteins are known to be related to PC or other gastric cancers, but have never been detected in OF. This study demonstrates the importance of novel OF depletion methodologies for increased protein visibility and highlights the clinical applicability of OF as a diagnostic fluid.
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