Evidence map›Paper›PMID 32133394›Full record

Trial reportScience advances2020

Tracking extracellular vesicle phenotypic changes enables treatment monitoring in melanoma.

Jing Wang, Alain Wuethrich, Abu Ali Ibn Sina, Rebecca E Lane, Lynlee L Lin, Yuling Wang, Jonathan Cebon, Andreas Behren, Matt Trau

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
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.

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 literature

Who cites it

66 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Rethinking Extracellular Vesicle Signaling.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  8. Review
  9. SERSµDrop: A Platform to Study Cell-Cell Communication via SERS Imaging.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  10. Tumor-derived extracellular vesicles: Bridging communication and next-generation theranostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Isolation of extracellular vesicles from insect hemolymph.Current research in insect science · 2025
    Review
  18. Article
  19. Review
  20. Review

6 more citing papers are in PubMed but not listed here.

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

9 authors.

Jing WangCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-6080-7998
Alain WuethrichCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-9569-0478
Abu Ali Ibn SinaCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-8099-3863
Rebecca E LaneCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-7650-389X
Lynlee L LinCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-3100-9668
Yuling WangDepartment of Molecular Sciences, ARC Centre of Excellence for Nanoscale BioPhotonics, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0003-3627-7397
Jonathan CebonOlivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Heidelberg, VIC 3084, Australia.ORCID 0000-0002-3898-950X
Andreas BehrenOlivia Newton-John Cancer Research Institute, School of Cancer Medicine, La Trobe University, Heidelberg, VIC 3084, Australia.ORCID 0000-0001-5329-280X
Matt TrauCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-5516-1280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring targeted therapy in real time for cancer patients could provide vital information about the development of drug resistance and improve therapeutic outcomes. Extracellular vesicles (EVs) have recently emerged as a promising cancer biomarker, and EV phenotyping shows high potential for monitoring treatment responses. Here, we demonstrate the feasibility of monitoring patient treatment responses based on the plasma EV phenotypic evolution using a multiplex EV phenotype analyzer chip (EPAC). EPAC incorporates the nanomixing-enhanced microchip and the multiplex surface-enhanced Raman scattering (SERS) nanotag system for direct EV phenotyping without EV enrichment. In a preclinical model, we observe the EV phenotypic heterogeneity and different phenotypic responses to the treatment. Furthermore, we successfully detect cancer-specific EV phenotypes from melanoma patient plasma. We longitudinally monitor the EV phenotypic evolution of eight melanoma patients receiving targeted therapy and find specific EV profiles involved in the development of drug resistance, reflecting the potential of EV phenotyping for monitoring treatment responses.

Indexed as

Microarray AnalysisSpectrum Analysis, RamanCell Line, TumorExtracellular VesiclesFemaleHumansMaleMelanoma

Identifiers

PMID32133394
PMCPMC7043913

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Registered trials

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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.