Evidence map›Paper›PMID 26892874›Full record

ArticleScientific reports2016

An MRI-based classification scheme to predict passive access of 5 to 50-nm large nanoparticles to tumors.

Anastassia Karageorgis, Sandrine Dufort, Lucie Sancey, Maxime Henry, Samuli Hirsjärvi, Catherine Passirani, Jean-Pierre Benoit, Julien Gravier, Isabelle Texier, Olivier Montigon and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Review
  3. Gas Delivery Relevant to Human Health using Porous Materials.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  4. Article
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  16. Smart cancer nanomedicine.Nature nanotechnology · 2019
    Article
  17. Article
  18. Review
  19. Review
  20. Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models.Journal of controlled release : official journal of the Controlled Release Society · 2018
    Article
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

14 authors at 9 institutions in 1 country.

Anastassia KarageorgisINSERM U823, Institut Albert Bonniot, Grenoble, France.
Sandrine DufortINSERM U823, Institut Albert Bonniot, Grenoble, France.
Lucie SanceyINSERM U823, Institut Albert Bonniot, Grenoble, France.
Maxime HenryINSERM U823, Institut Albert Bonniot, Grenoble, France.
Samuli HirsjärviINSERM U1066, IBS-CHU, Angers, France.
Catherine PassiraniINSERM U1066, IBS-CHU, Angers, France.
Jean-Pierre BenoitINSERM U1066, IBS-CHU, Angers, France.
Julien GravierCEA-LETI MINATEC/DTBS, Grenoble, France.
Isabelle TexierCEA-LETI MINATEC/DTBS, Grenoble, France.
Olivier MontigonUniversité Joseph Fourier UJF, Grenoble, France.
Mériem BenmeradINSERM U823, Institut Albert Bonniot, Grenoble, France.
Valérie SirouxINSERM U823, Institut Albert Bonniot, Grenoble, France.
Emmanuel L BarbierUniversité Joseph Fourier UJF, Grenoble, France.
Jean-Luc CollINSERM U823, Institut Albert Bonniot, Grenoble, France.
Inserm · FRMicro et Nanomédecines translationnellesUniversité Grenoble Alpes · FRUniversité Joseph Fourier · FRCEA Grenoble · FRCentre Hospitalier Universitaire d'Angers · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitut Lumière Matière · FRInstitut pour l'avancée des biosciences · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles are useful tools in oncology because of their capacity to passively accumulate in tumors in particular via the enhanced permeability and retention (EPR) effect. However, the importance and reliability of this effect remains controversial and quite often unpredictable. In this preclinical study, we used optical imaging to detect the accumulation of three types of fluorescent nanoparticles in eight different subcutaneous and orthotopic tumor models, and dynamic contrast-enhanced and vessel size index Magnetic Resonance Imaging (MRI) to measure the functional parameters of these tumors. The results demonstrate that the permeability and blood volume fraction determined by MRI are useful parameters for predicting the capacity of a tumor to accumulate nanoparticles. Translated to a clinical situation, this strategy could help anticipate the EPR effect of a particular tumor and thus its accessibility to nanomedicines.

Indexed as

Magnetic Resonance ImagingAnimalsCell Line, TumorContrast MediaDisease Models, AnimalHeterograftsHumansLipidsMiceNanoparticlesNeoplasmsParticle SizePermeabilityContrast MediaLipids

Identifiers

PMID26892874
PMCPMC4759815
OpenAlexW2286353904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.