Evidence map›Paper›PMID 27573135›Full record

ArticleBiomaterials2016

Investigating the effect of tumor vascularization on magnetic targeting in vivo using retrospective design of experiment.

Kuo-Ching Mei, Jie Bai, Silvia Lorrio, Julie Tzu-Wen Wang, Khuloud T Al-Jamal

Abstract read
In one paragraph

Article in Biomaterials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Enhancing RNA-lipid nanoparticle delivery: Organ- and cell-specificity and barcoding strategies.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Design of experiment (DoE)-drivenJournal of extracellular vesicles · 2020
    Article
  16. A Porous Au@Rh Bimetallic Core-Shell Nanostructure as an HAdvanced materials (Deerfield Beach, Fla.) · 2020
    Article
  17. Article
  18. Article
  19. Probing the biological obstacles of nanomedicine with gold nanoparticles.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
  20. Renal Clearable Luminescent Gold Nanoparticles: From the Bench to the Clinic.Angewandte Chemie (International ed. in English) · 2019
    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

5 authors.

Kuo-Ching MeiInstitute of Pharmaceutical Science, Faculty of Life Sciences & Medicine, King's College London, London, SE1 9NH, United Kingdom.
Jie BaiInstitute of Pharmaceutical Science, Faculty of Life Sciences & Medicine, King's College London, London, SE1 9NH, United Kingdom.
Silvia LorrioDivision of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, SE1 7EH, United Kingdom.
Julie Tzu-Wen WangInstitute of Pharmaceutical Science, Faculty of Life Sciences & Medicine, King's College London, London, SE1 9NH, United Kingdom.
Khuloud T Al-JamalInstitute of Pharmaceutical Science, Faculty of Life Sciences & Medicine, King's College London, London, SE1 9NH, United Kingdom. Electronic address: khuloud.al-jamal@kcl.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/J008656/1Worldwide Cancer Research 12-1054
6 · The paper itself

Abstract

Nanocarriers take advantages of the enhanced permeability and retention (EPR) to accumulate passively in solid tumors. Magnetic targeting has shown to further enhance tumor accumulation in response to a magnetic field gradient. It is widely known that passive accumulation of nanocarriers varies hugely in tumor tissues of different tumor vascularization. It is hypothesized that magnetic targeting is likely to be influenced by such factors. In this work, magnetic targeting is assessed in a range of subcutaneously implanted murine tumors, namely, colon (CT26), breast (4T1), lung (Lewis lung carcinoma) cancer and melanoma (B16F10). Passively- and magnetically-driven tumor accumulation of the radiolabeled polymeric magnetic nanocapsules are assessed with gamma counting. The influence of tumor vasculature, namely, the tumor microvessel density, permeability and diameter on passive and magnetic tumor targeting is assessed with the aid of the retrospective design of experiment (DoE) approach. It is clear that the three tumor vascular parameters contribute greatly to both passive and magnetically targeted tumor accumulation but play different roles when nanocarriers are targeted to the tumor with different strategies. It is concluded that tumor permeability is a rate-limiting factor in both targeting modes. Diameter and microvessel density influence passive and magnetic tumor targeting, respectively.

Indexed as

AnimalsCell Line, TumorDextransMagnetite NanoparticlesMiceMicrovesselsNeoplasms, ExperimentalNeovascularization, PathologicTissue DistributionDextransferumoxtran-10Magnetite NanoparticlesEnhanced permeability and retentionImmunohistochemistryNanocapsulesNanomedicineSuperparamagnetic iron oxide nanoparticles

Identifiers

PMID27573135
PMCPMC5027889

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.