Possible proteomic biomarkers for the detection of pancreatic cancer in oral fluids
- Resource Type
- Authors
- Yaron Haviv; DJ Aframian; Batya Zaks; O. Lahav; Omer Deutsch; Guy Krief; Naama Keshet; S. P. Navat; A. Palmon; S. M. Stemmer; R. Westreich; Robert Yanko
- Source
- Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
- Subject
- Oncology
Proteomics
medicine.medical_specialty
Molecular biology
Science
Diseases
Biochemistry
Methylation
Article
Medical research
Internal medicine
Pancreatic cancer
medicine
Biomarkers, Tumor
Humans
Electrophoresis, Gel, Two-Dimensional
Differential expression
Saliva
Cancer
Aged
Body fluid
Multidisciplinary
Molecular medicine
business.industry
Biological techniques
Middle Aged
medicine.disease
Computational biology and bioinformatics
Neoplasm Proteins
Pancreatic Neoplasms
Case-Control Studies
Biomarker (medicine)
Medicine
business
Biomarkers
Biotechnology
- Language
- English
- ISSN
- 2045-2322
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.