Skip to main navigation Skip to search Skip to main content

Cancer-id: Toward identification of cancer by tumor-derived extracellular vesicles in blood: Toward identification of cancer by tumor-derived extracellular vesicles in blood

  • L. G. Rikkert
  • , P. Beekman
  • , J. Caro
  • , F. A. W. Coumans
  • , A. Enciso-Martinez
  • , G. Jenster
  • , S. le Gac
  • , W. Lee
  • , T. G. van Leeuwen
  • , G. B. Loozen
  • , A. Nanou
  • , R. Nieuwland
  • , H. L. Offerhaus
  • , C. Otto
  • , D. M. Pegtel
  • , M. C. Piontek
  • , E. van der Pol
  • , L. de Rond
  • , W. H. Roos
  • , R. B. M. Schasfoort
  • M. H. M. Wauben, H. Zuilhof, L. W. M. M. Terstappen*
*Corresponding author for this work
  • University of Twente
  • University of Amsterdam
  • Wageningen University & Research
  • Delft University of Technology
  • Erasmus University Rotterdam
  • Vrije Universiteit Amsterdam
  • University of Groningen
  • Utrecht University
  • Tianjin University

Research output: Contribution to journalArticleAcademicpeer-review

22 Downloads (Pure)

Abstract

Extracellular vesicles (EVs) have great potential as biomarkers since their composition and concentration in biofluids are disease state dependent and their cargo can contain disease-related information. Large tumor-derived EVs (tdEVs, >1μm) in blood from cancer patients are associated with poor outcome, and changes in their number can be used to monitor therapy effectiveness. Whereas, small tumor-derived EVs (<1μm) are likely to outnumber their larger counterparts, thereby offering better statistical significance, identification and quantification of small tdEVs are more challenging. In the blood of cancer patients, a subpopulation of EVs originate from tumor cells, but these EVs are outnumbered by non-EV particles and EVs from other origin. In the Dutch NWO Perspectief Cancer-ID program, we developed and evaluated detection and characterization techniques to distinguish EVs from non-EV particles and other EVs. Despite low signal amplitudes, we identified characteristics of these small tdEVs that may enable the enumeration of small tdEVs and extract relevant information. The insights obtained from Cancer-ID can help to explore the full potential of tdEVs in the clinic.
Original languageEnglish
Article number608
JournalFrontiers in oncology
Volume10
DOIs
Publication statusPublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Cancer-id: Toward identification of cancer by tumor-derived extracellular vesicles in blood: Toward identification of cancer by tumor-derived extracellular vesicles in blood'. Together they form a unique fingerprint.

Cite this