Evidence map›Paper›PMID 37857666›Full record

ArticleCommunications medicine2023

Development of a blood-based extracellular vesicle classifier for detection of early-stage pancreatic ductal adenocarcinoma.

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

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05625529 (Exoluminate Study), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05625529 recruitingnot on this map

Exoluminate Study: Observational Registry Study to Assess Exo-PDAC Assay Performance for Detection of Pancreatic Adenocarcinoma (PDAC) in High-Risk or Clinically Suspicious Patients

Typeobservational_patient_registrySponsorBiological DynamicsRan2022 to 2028Enrolled1,000ConditionsPancreas Cancer, Exosomes, Extracellular Vesicles, Pancreatic Neoplasms
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  10. Small extracellular vesicles (sEVs) in pancreatic cancer progression and diagnosis.Journal of controlled release : official journal of the Controlled Release Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Juan Pablo HinestrosaBiological Dynamics Inc, San Diego, CA, USA. jp@biologicaldynamics.com.ORCID http://orcid.org/0000-0002-8348-0403
Rosalie C SearsDepartment of Molecular and Medical Genetics, Brenden-Colson Center for Pancreatic Cancer, Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-1558-2413
Harmeet DhaniBiological Dynamics Inc, San Diego, CA, USA.
Jean M LewisBiological Dynamics Inc, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-6978-5166
Gregor SchroederBiological Dynamics Inc, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-9723-7789
Heath I BalcerBiological Dynamics Inc, San Diego, CA, USA.
Dove KeithBrenden-Colson Center for Pancreatic Cancer, Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.ORCID http://orcid.org/0000-0001-6104-3264
Brett C SheppardBrenden-Colson Center for Pancreatic Cancer, Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
Razelle KurzrockMedical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0003-4110-1214
Paul R BillingsBiological Dynamics Inc, San Diego, CA, USA. pbillings@biologicaldynamics.com.ORCID http://orcid.org/0000-0003-1198-0537
Oregon Health & Science University · USGeneral Dynamics (United States) · USMedical College of Wisconsin · US

Funding

Validation of novel imaging and molecular tests for early detection of pancreatic cancer through risk-stratified community engagement programsU01CA278923 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Gregory A Cote, Alexander Savio Ramos Guimaraes · 2023 to 2026
$3.3M
NCI NIH HHS U01 CA278923
6 · The paper itself

Abstract

backgroundPancreatic 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.

methodsExtracellular 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).

resultsThe 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%.

conclusionsLiquid 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.

Identifiers

PMID37857666
PMCPMC10587093
OpenAlexW4387780230

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.