Evidence map›Paper›PMID 29684498›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2018

Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models.

Einar Sulheim, Jana Kim, Annemieke van Wamel, Eugene Kim, Sofie Snipstad, Igor Vidic, Ingeborg Hovde Grimstad, Marius Widerøe, Sverre H Torp, Steinar Lundgren and 2 more

Abstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 10% 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.

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

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Contrast-enhanced photon-counting micro-CT of tumor xenograft models.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Imaging techniques in nanomedical research.European journal of histochemistry : EJH · 2020
    Article
  12. Review
  13. Review
  14. Article
  15. Smart cancer nanomedicine.Nature nanotechnology · 2019
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
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

12 authors at 4 institutions in 2 countries.

Einar SulheimDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Biotechnology and Nanomedicine, SINTEF, Trondheim, Norway. Electronic address: einar.sulheim@ntnu.no.
Jana KimDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway.
Annemieke van WamelDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Eugene KimDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Trondheim, Norway.
Sofie SnipstadDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Igor VidicDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Ingeborg Hovde GrimstadDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Marius WiderøeDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Trondheim, Norway.
Sverre H TorpDepartment of Laboratory Medicine, Children's and Women's Health, NTNU, Trondheim, Norway; Department of Pathology, St. Olav's University Hospital, Trondheim, Norway.
Steinar LundgrenDepartment of Oncology, St. Olav's University Hospital, Trondheim, Norway; Department of Cancer Research and Molecular Medicine, Faculty of Medicine, NTNU, Trondheim, Norway.
David J WaxmanDepartment of Biology, Boston University, Boston, MA 02215, USA.
Catharina de Lange DaviesDepartment of Physics, Faculty of Natural Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Norwegian University of Science and Technology · NOBoston University · USSINTEF · NOSt Olav's University Hospital · NO

Funding

HEPATIC METABOLISM OF ANTICANCER DRUGSR01CA049248 · NCI · DANA-FARBER CANCER INSTITUTE · PI WAXMAN, DAVID J · 1991 to 2014
$4.3M
NCI NIH HHS R01 CA049248
6 · The paper itself

Abstract

Preclinical research has demonstrated that nanoparticles and macromolecules can accumulate in solid tumors due to the enhanced permeability and retention effect. However, drug loaded nanoparticles often fail to show increased efficacy in clinical trials. A better understanding of how tumor heterogeneity affects nanoparticle accumulation could help elucidate this discrepancy and help in patient selection for nanomedicine therapy. Here we studied five human tumor models with varying morphology and evaluated the accumulation of 100 nm polystyrene nanoparticles. Each tumor model was characterized in vivo using micro-computed tomography, contrast-enhanced ultrasound and diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging. Ex vivo, the tumors were sectioned for both fluorescence microscopy and histology. Nanoparticle uptake and distribution in the tumors were generally heterogeneous. Density of functional blood vessels measured by fluorescence microscopy correlated significantly (p = 0.0056) with nanoparticle accumulation and interestingly, inflow of microbubbles measured with ultrasound also showed a moderate but significant (p = 0.041) correlation with nanoparticle accumulation indicating that both amount of vessels and vessel morphology and perfusion predict nanoparticle accumulation. This indicates that blood vessel characterization using contrast-enhanced ultrasound imaging or other methods could be valuable for patient stratification for treatment with nanomedicines.

Indexed as

AnimalsCell Line, TumorContrast MediaFemaleHumansMagnetic Resonance ImagingMiceMice, Inbred BALB CMice, NudeMicrobubblesMicroscopy, FluorescenceNanoparticlesNeoplasmsPolystyrenesUltrasonographyXenograft Model Antitumor AssaysContrast MediaPolystyrenesmicroCTMicroscopyMRINanoparticlesTumor characterizationTumor vasculatureUltrasound

Identifiers

PMID29684498
PMCPMC5972071
OpenAlexW2800700833

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.