Potential Early Markers for Breast Cancer: A Proteomic Approach Comparing Saliva and Serum Samples in a Pilot Study.
Indu SinhaRachel L FogleGizem GulfidanAnne E StanleyVonn WalterChristopher S HollenbeakKazım Yalçın ArğaRaghu SinhaPublished in: International journal of molecular sciences (2023)
Breast cancer is the second leading cause of death for women in the United States, and early detection could offer patients the opportunity to receive early intervention. The current methods of diagnosis rely on mammograms and have relatively high rates of false positivity, causing anxiety in patients. We sought to identify protein markers in saliva and serum for early detection of breast cancer. A rigorous analysis was performed for individual saliva and serum samples from women without breast disease, and women diagnosed with benign or malignant breast disease, using isobaric tags for relative and absolute quantitation (iTRAQ) technique, and employing a random effects model. A total of 591 and 371 proteins were identified in saliva and serum samples from the same individuals, respectively. The differentially expressed proteins were mainly involved in exocytosis, secretion, immune response, neutrophil-mediated immunity and cytokine-mediated signaling pathway. Using a network biology approach, significantly expressed proteins in both biological fluids were evaluated for protein-protein interaction networks and further analyzed for these being potential biomarkers in breast cancer diagnosis and prognosis. Our systems approach illustrates a feasible platform for investigating the responsive proteomic profile in benign and malignant breast disease using saliva and serum from the same women.
Keyphrases
- polycystic ovary syndrome
- end stage renal disease
- breast cancer risk
- protein protein
- immune response
- signaling pathway
- ejection fraction
- newly diagnosed
- chronic kidney disease
- randomized controlled trial
- pregnancy outcomes
- type diabetes
- peritoneal dialysis
- adipose tissue
- cervical cancer screening
- metabolic syndrome
- depressive symptoms
- drug delivery
- mass spectrometry
- physical activity
- cell proliferation
- label free
- single cell