Development of a blood-based extracellular vesicle classifier for detection of early-stage pancreatic ductal adenocarcinoma Article Swipe
Juan Pablo Hinestrosa
,
Rosalie C. Sears
,
Harmeet Dhani
,
Jean M. Lewis
,
Gregor Schroeder
,
Heath I. Balcer
,
Dove Keith
,
Brett C. Sheppard
,
Razelle Kurzrock
,
Paul R. Billings
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s43856-023-00351-4
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s43856-023-00351-4
Background Pancreatic ductal adenocarcinoma (PDAC) has an overall 5-year survival rate of just 12.5% and thus is among the leading causes of cancer deaths. When detected at early stages, PDAC survival rates improve substantially. Testing high-risk patients can increase early-stage cancer detection; however, currently available liquid biopsy approaches lack high sensitivity and may not be easily accessible. Methods Extracellular vesicles (EVs) were isolated from blood plasma that was collected from a training set of 650 patients (105 PDAC stages I and II, 545 controls). EV proteins were analyzed using a machine learning approach to determine which were the most informative to develop a classifier for early-stage PDAC. The classifier was tested on a validation cohort of 113 patients (30 PDAC stages I and II, 83 controls). Results The training set demonstrates an AUC of 0.971 (95% CI = 0.953–0.986) with 93.3% sensitivity (95% CI: 86.9–96.7) at 91.0% specificity (95% CI: 88.3–93.1). The trained classifier is validated using an independent cohort (30 stage I and II cases, 83 controls) and achieves a sensitivity of 90.0% and a specificity of 92.8%. Conclusions Liquid biopsy using EVs may provide unique or complementary information that improves early PDAC and other cancer detection. EV protein determinations herein demonstrate that the AC Electrokinetics (ACE) method of EV enrichment provides early-stage detection of cancer distinct from normal or pancreatitis controls.
Related Topics
Concepts
Pancreatic cancer
Pancreatic ductal adenocarcinoma
Medicine
Cohort
Liquid biopsy
Internal medicine
Stage (stratigraphy)
Biopsy
Pancreatitis
Oncology
Gastroenterology
Cancer
Pathology
Biology
Paleontology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s43856-023-00351-4
- https://www.nature.com/articles/s43856-023-00351-4.pdf
- OA Status
- gold
- Cited By
- 17
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387780230
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387780230Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s43856-023-00351-4Digital Object Identifier
- Title
-
Development of a blood-based extracellular vesicle classifier for detection of early-stage pancreatic ductal adenocarcinomaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-19Full publication date if available
- Authors
-
Juan Pablo Hinestrosa, Rosalie C. Sears, Harmeet Dhani, Jean M. Lewis, Gregor Schroeder, Heath I. Balcer, Dove Keith, Brett C. Sheppard, Razelle Kurzrock, Paul R. BillingsList of authors in order
- Landing page
-
https://doi.org/10.1038/s43856-023-00351-4Publisher landing page
- PDF URL
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https://www.nature.com/articles/s43856-023-00351-4.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s43856-023-00351-4.pdfDirect OA link when available
- Concepts
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Pancreatic cancer, Pancreatic ductal adenocarcinoma, Medicine, Cohort, Liquid biopsy, Internal medicine, Stage (stratigraphy), Biopsy, Pancreatitis, Oncology, Gastroenterology, Cancer, Pathology, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
17Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 9Per-year citation counts (last 5 years)
- References (count)
-
73Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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