ArticleSmall (Weinheim an der Bergstrasse, Germany)2026
Liquid Biopsy Differentiation of Pancreatic Cancer From Non-Cancerous Pancreatic Disease Using Dielectrophoresis-Recovered Nanoparticles Carrying Cell-Free DNA and Protein Biomarkers.
Anna Malakian, Augusta Modestino, Jesus Bueno, Archana Machireddy, Jason Ware, Sean Hamilton, Ella Stimson, Sarah Mitchell, Joshua C Saldivar, Ashley R Woodfin and 14 more
Abstract read
In one paragraphArticle in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat 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 registryThe 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
24 authors.
Anna MalakianCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-8177-570X Augusta ModestinoCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.
Jesus BuenoCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.
Archana MachireddyDepartment of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Jason WareCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-5530-5843 Sean HamiltonCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-6740-290X Ella StimsonCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-3159-2585 Sarah MitchellCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0003-3110-768X Joshua C SaldivarCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-7821-1615 Corey M DambacherRyboDyn Inc., San Diego, California, USA.
Kyle GustafsonCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-5445-2019 Delaney SheaCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-8180-3937 Srivathsan RanganathanCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-0911-6590 Mehrzad SasanpourCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0009-0009-1435-8250 Christian RossCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0009-0001-7076-9144 Dove KeithBrenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, Oregon, USA.
Jeong Youn LimBiostatistics Shared Resource, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0009-0000-5503-998X Xubo SongCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-5138-3983 Scott M LippmanMoores Cancer Center, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-1643-4124 Rosalie SearsBrenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0003-1558-2413 Terry MorganPathology & Laboratory Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Michael HellerCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-6436-0337 Stuart D IbsenCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0001-8619-3832 Funding
VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9MValidation 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
$3.3MDistinguishing Pancreatic Cancer from Benign Pancreatic Disease using Nanoparticle-based BiomarkersR37CA258787 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Stuart Duncan Ibsen · 2022 to 2026
$2.3MCancer Early Detection Advanced Research Center at Oregon Health & Science University's Knight Cancer Institute CEDAR3300918National Cancer Institute of the National Institutes of Health R37CA258787National Cancer Institute Pancreatic Cancer Detection Consortium U01CA278923NCI NIH HHS P30 CA023100NCI NIH HHS R37 CA258787NCI NIH HHS U01 CA278923PreCancer Genome Atlas (PCGA) UCSanDiegoNCIP30CA023100
6 · The paper itselfAbstract
Cancer-derived extracellular vesicle (EV) nanoparticles carry important biomarkers but are difficult to recover from plasma, making EV-based diagnostics a challenge for clinical settings. Here, we demonstrate nanoparticle-based detection of pancreatic cancer using dielectrophoresis (DEP) nanoparticle recovery technology, which purifies nanoparticles from undiluted plasma and quantifies associated biomarkers. We combined both nanoparticle recovery and biomarker quantification on a single device by simultaneously collecting cell-free DNA nanoparticles and EVs followed by on-chip biomarker fluorescent staining for DNA and Glypican-1. Using a blinded cohort, these biomarkers differentiated pancreatic cancer from benign pancreatic diseases, including cysts, pancreatitis, and precancerous low-grade intraductal papillary mucinous neoplasm (IPMN) lesions, with a sensitivity of 0.92, a specificity of 0.83, and an AUC of 0.93. The AUC increased to 0.97 for patients over 50 years old. This is higher than the standard invasive endoscopic ultrasound-guided fine needle aspiration tissue biopsy procedure (AUC 0.79). This study is among the first demonstrating a combined threshold of DNA and protein levels that can distinguish pancreatic cancer from its precursor IPMN lesions. We also demonstrated the detection of early-stage pancreatic cancer and high-grade in situ precancerous lesions. This DEP-based technique shows that multiple types of cancer-derived nanoparticles can be quickly and easily recovered from plasma making it promising for future clinical diagnostics.
Indexed as
Biomarkers, TumorCell-Free Nucleic AcidsElectrophoresisNanoparticlesPancreatic NeoplasmsHumansLiquid BiopsyBiomarkers, TumorCell-Free Nucleic Acidsdielectrophoresis (DEP)extracellular vesiclesliquid biopsymicrofluidicspancreatic cancer detection
Identifiers
PMID41947711
PMCPMC13206421
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