Cited 45 time in webofscience Cited 42 time in scopus

Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy

Title
Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy
Authors
Yang, Katherine S.Im, HyungsoonHong, SeonkiPergolini, Ilaridel CastilloWang, RuiClardy, SusanHuang, Chen-HanPille, CraigFerrone, SoldanoYang, RobertCastro, Cesar M.Lee, Hakhodel CastilloWeissleder, Ral
DGIST Authors
Hong, Seonki
Issue Date
2017-05
Citation
SCIENCE TRANSLATIONAL MEDICINE, 9(391)
Type
Article
Article Type
Article
Keywords
ANTIBODY-BASED IMMUNOTHERAPYCIRCULATING TUMOR-CELLSEXTRACELLULAR VESICLESCANCER-DIAGNOSISBIOMARKERSEXOSOMESGLYPICAN-1MARKERSPROTEINGLIOBLASTOMA
ISSN
1946-6234
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is usually detected late in the disease process. Clinical workup through imaging and tissue biopsies is often complex and expensive due to a paucity of reliable biomarkers. We used an advanced multiplexed plasmonic assay to analyze circulating tumor-derived extracellular vesicles (tEVs) in more than 100 clinical populations. Using EV-based protein marker profiling, we identified a signature of five markers (PDACEV signature) for PDAC detection. In our prospective cohort, the accuracy for the PDACEV signature was 84% [95% confidence interval (CI), 69 to 93%] but only 63 to 72% for single-marker screening. One of the best markers, GPC1 alone, had a sensitivity of 82% (CI, 60 to 95%) and a specificity of 52% (CI, 30 to 74%), whereas the PDACEV signature showed a sensitivity of 86% (CI, 65 to 97%) and a specificity of 81% (CI, 58 to 95%). The PDACEV signature of tEVs offered higher sensitivity, specificity, and accuracy than the existing serum marker (CA 19-9) or single-tEV marker analyses. This approach should improve the diagnosis of pancreatic cancer. © The Authors, some rights reserved;.
URI
http://hdl.handle.net/20.500.11750/6530
DOI
10.1126/scitranslmed.aal3226
Publisher
AMER ASSOC ADVANCEMENT SCIENCE
Related Researcher
  • Author Hong, Seonki Biomaterials & Biointerface Engineering Laboratory
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Department of Emerging Materials ScienceBiomaterials & Biointerface Engineering Laboratory1. Journal Articles


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