Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer and was ranked among the top seven leading causes of cancer-related deaths in South Africa in 2020. Highlighting the urgent need for ongoing research to identify reliable biomarkers to improve clinical outcomes. This study compared the plasma proteomes of patients with PDAC, those with benign biliary pathologies (BBP), and healthy controls (HC). We used Mag-Net, a magnetic-bead-based method that enriches membrane-bound vesicles. Comparative analyses identified distinct and overlapping dysregulated proteins between PDAC, BBP, and HC. PDAC showed enrichment for epithelial-mesenchymal transition, complement activation, hypoxia, glycolysis, and extracellular matrix remodeling pathways, consistent with aggressive tumor biology. Proteins including SPP1, THBS2, PTX3, FBLN2, SDC1, CTSS, and VCAN were significantly increased in PDAC, with LRG1 showing the strongest association with disease severity. Proteins, namely GPNMB, H4C1, SAA1, and CCDC47, demonstrated progressive upregulation across disease comparisons, suggesting potential relevance to disease progression. These findings demonstrate that plasma proteomics provides discriminatory molecular insights and supports the development of population-relevant biomarker panels. While several candidate proteins show promise for inclusion in multianalyte panels, further validation in larger cohorts is necessary to establish their diagnostic and translational utility for early detection, risk stratification, and improved differential diagnosis of PDAC.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2026-06-30
DOI
https://doi.org/10.1021/acs.jproteome.6c00172
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma

Dupe Ojo, Stefano Cacciatore, Nnenna Elebo, Previn Naicker et al.
Journal of Proteome Research
Extracellular vesicles in disease
article

Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma

Dupe Ojo, Stefano Cacciatore, Nnenna Elebo, Previn Naicker, S STOYCHEV, Ekene Emmanuel Nweke, Sindisiwe Buthelezi, Sipho Mamputha, Sinegugu Dubazana, Andrea Ellero, Jeanet Mazibuko, Jones Omoshoro-Jones, Ireshyn Govender, John Devar, Geoffrey Candy, Rethabile Mokoena
article en

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer and was ranked among the top seven leading causes of cancer-related deaths in South Africa in 2020. Highlighting the urgent need for ongoing research to identify reliable biomarkers to improve clinical outcomes. This study compared the plasma proteomes of patients with PDAC, those with benign biliary pathologies (BBP), and healthy controls (HC). We used Mag-Net, a magnetic-bead-based method that enriches membrane-bound vesicles. Comparative analyses identified distinct and overlapping dysregulated proteins between PDAC, BBP, and HC. PDAC showed enrichment for epithelial-mesenchymal transition, complement activation, hypoxia, glycolysis, and extracellular matrix remodeling pathways, consistent with aggressive tumor biology. Proteins including SPP1, THBS2, PTX3, FBLN2, SDC1, CTSS, and VCAN were significantly increased in PDAC, with LRG1 showing the strongest association with disease severity. Proteins, namely GPNMB, H4C1, SAA1, and CCDC47, demonstrated progressive upregulation across disease comparisons, suggesting potential relevance to disease progression. These findings demonstrate that plasma proteomics provides discriminatory molecular insights and supports the development of population-relevant biomarker panels. While several candidate proteins show promise for inclusion in multianalyte panels, further validation in larger cohorts is necessary to establish their diagnostic and translational utility for early detection, risk stratification, and improved differential diagnosis of PDAC.

Journal of Proteome Research
Florida Department of Agriculture and Consumer Services (US), University of Cape Town (ZA), University of South Africa (ZA), University of the Witwatersrand (ZA), Chris Hani Baragwanath Hospital (ZA), Biosyntia (Denmark) (DK), Faculty of Public Health (GB), Innovation Cluster (Canada) (CA), Korean Pancreatobiliary Association (KR), Bioinformatics Institute (SG), Integrative Health Technologies (United States) (US), University of Pretoria (ZA)
South African Medical Research Council, University of the Witwatersrand, Johannesburg, University of Pretoria, International Centre for Genetic Engineering and Biotechnology, University of Cape Town, Medical Research Council, South African Agency for Science and Technology Advancement
Openalex Percentile: Top 12%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.