ArticleBritish journal of cancer2015
Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models.
Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Identification of serum protein biomarkers for pre-cancerous lesions associated with pancreatic ductal adenocarcinoma.Molecular oncology · 2026Article
- Modeling pancreatic cancer in mice for experimental therapeutics.Biochimica et biophysica acta. Reviews on cancer · 2021Review
- Advances on diagnostic biomarkers of pancreatic ductal adenocarcinoma: A systems biology perspective.Computational and structural biotechnology journal · 2020Review
- Predictive proteomic signatures for response of pancreatic cancer patients receiving chemotherapy.Clinical proteomics · 2019Article
- Soluble stroma-related biomarkers of pancreatic cancer.EMBO molecular medicine · 2018Article
- Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics.Cancers · 2018Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a mortality that is almost identical to incidence. Because early detected PDAC is potentially curable, blood-based biomarkers that could detect currently developing neoplasia would improve patient survival and management. PDAC develops from pancreatic intraepithelial neoplasia (PanIN) lesions, graded from low grade (PanIN1) to high grade (PanIN3). We made the hypothesis that specific proteomic signatures from each precancerous stage exist and are detectable in plasma.
methodsWe explored the peptide profiles of microdissected PanIN cells and of plasma samples corresponding to the different PanIN grade from genetically engineered mouse models of PDAC using capillary electrophoresis coupled to mass spectrometry (CE-MS) and Chip-MS/MS.
resultsWe successfully characterised differential peptides profiles from PanIN microdissected cells. We found that plasma from tumor-bearing mice and age-matched controls exhibit discriminative peptide signatures. We also determined plasma peptide signatures corresponding to low- and high-grade precancerous step present in the mice pancreas using the two mass spectrometry technologies. Importantly, we identified biomarkers specific of PanIN3.
conclusionsWe demonstrate that benign and advanced PanIN lesions display distinct plasma peptide patterns. This strongly supports the perspectives of developing a non-invasive screening test for prediction and early detection of PDAC.
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