Evidence map›Paper›PMID 23605950›Full record

ArticleThe AAPS journal2013

Predictive models of diffusive nanoparticle transport in 3-dimensional tumor cell spheroids.

Yue Gao, Mingguang Li, Bin Chen, Zancong Shen, Peng Guo, M Guillaume Wientjes, Jessie L-S Au

Abstract read
In one paragraph

Article in The AAPS journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
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  11. A Bayesian approach to estimate the diffusion coefficient of Rhodamine 6G in breast cancer spheroids.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Article
  12. Article
  13. Kinetics of Nanomedicine in Tumor Spheroid as anFrontiers in bioengineering and biotechnology · 2021
    Review
  14. 3D Tumor Spheroid Models for In Vitro Therapeutic Screening of Nanoparticles.Advances in experimental medicine and biology · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  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

7 authors.

Yue GaoDivision of pharmaceutics, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA.
Mingguang Li
Bin Chen
Zancong Shen
Peng Guo
M Guillaume Wientjes
Jessie L-S Au

Funding

Multiscale computational models for developing combination cancer therapyR01GM100487 · NIGMS · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.3M
Capturing dynamic and inter-dependent biointerfaces in nanotechnology designsR01EB015253 · NIBIB · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.1M
NIBIB NIH HHS R01 EB015253NIBIB NIH HHS R01EB015253NIGMS NIH HHS R01 GM100487
6 · The paper itself

Abstract

The rapidly evolving nanotechnology field highlights the need of better understanding the relationship between nanoparticle (NP) properties and NP transport in solid tumors. The present study tested the hypothesis that the diffusive transport and spatial distribution of NP can be predicted based on the following parameters: interstitial NP diffusivity, NP-cell interaction parameters (cell surface binding capacity, rate constants of association, dissociation, and internalization). We (a) established the models and equations; (b) experimentally measured, in monolayer pharynx FaDu cells, the model parameters for three NP formulations (negatively charged polystyrene beads, near-neutral liposomes, and positively charged liposomes, with respective diameter of 20, 110, and 130 nm); and (c) used the models and parameters to simulate NP diffusion in 3-dimensional (3D) systems. We next measured the NP concentration-depth profiles in tumor cell spheroids, an avascular 3D system, and found good agreement between model-simulated and experimental data in spheroids for the negative and neutral NP (>90% predicted data points at three NP concentrations and three treatment times were within the 95% confidence intervals of experimental data). Model performance was inferior for positive liposomes containing a fusogenic lipid. The present study demonstrated the possibility of using in vitro NP-cell biointerface data in monolayer cultures with in silico studies to predict the NP diffusive transport and concentration-time-depth profiles in 3D systems, as functions of NP concentrations and treatment times. Extending this approach to include convective transport may yield a cost-effective means to predict the NP delivery and residence in solid tumors.

Indexed as

Models, MolecularNanoparticlesBiological TransportDiffusionForecastingHumansImaging, Three-DimensionalNeoplasmsSpheroids, CellularTumor Cells, Cultured

Identifiers

PMID23605950
PMCPMC3691442

What OpenQuestion holds

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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.