Shotgun Label-Free Proteomic Analysis for Identification of a Potential Diagnostic Biomarker for Pancreatic Cancer
<b>Background</b>: Pancreatic cancer (PC) is one of the cancers with poor prognosis. Although carbohydrate antigen (CA) 19-9 is currently the most specific and sensitive biomarker for the diagnosis of PC and, therefore, the most frequently used, approximately 34% of PC patients may have a Lewis antigen-negative phenotype and secrete little, if any, CA19-9. Therefore, effective alternative diagnostic methods for PC is required. <b>Methods</b>: In this study, we examined whether differentially expressed proteins in the blood of PC patients could be identified by global shotgun proteomics analysis using an in vitro cell line sample. <b>Results</b>: We identified 142 candidate proteins with differential expression in PC cells. A semiquantitative method and bioinformatic analysis led to a total of 14 candidate proteins that could potentially be detected in blood. Validation studies revealed that the expression of fibulin-1 was lower in PC cells than in normal pancreatic ductal cells. Moreover, in vivo fibulin-1 expression was significantly lower in serum from PC patients than in healthy individuals. <b>Conclusions</b>: These findings suggest that lower serum levels of fibulin-1 may be a novel biomarker for the detection of PC.
Authors
- Tetsushi Yamamoto (ORCID: https://orcid.org/0009-0009-9235-8037)
- Shogen Boku (ORCID: https://orcid.org/0000-0002-5015-0379)
- Kuniko Mitamura (ORCID: https://orcid.org/0000-0003-0500-6973)
- Atsushi Taga
Institutions
- Kansai Medical University (JP)
- Kindai University (JP)
Publication Details
- Journal
- Biomedicines
- Published
- 2025-10-27
- DOI
- https://doi.org/10.3390/biomedicines13112631
- Primary Topic
- Connective tissue disorders research
- Type
- article
- Field-Weighted Citation Impact
- 0.00