Evidence map›Paper›PMID 25835222›Full record

ArticleDrug delivery2016

Computational analysis of drug transport in tumor microenvironment as a critical compartment for nanotherapeutic pharmacokinetics.

Arturas Ziemys, Steve Klemm, Miljan Milosevic, Kenji Yokoi, Mauro Ferrari, Milos Kojic

Abstract read
In one paragraph

Article in Drug delivery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Progression-dependent transport heterogeneity of breast cancer liver metastases as a factor in therapeutic resistance.Journal of controlled release : official journal of the Controlled Release Society · 2018
    Article
  6. Review
  7. Article
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  9. Article
  10. 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

6 authors.

Arturas Ziemysa The Department of Nanomedicine , Houston Methodist Research Institute , Houston , USA.
Steve Klemmb Cure Technologies LLC , Grand Rapids , USA.
Miljan Milosevicc Belgrade Metropolitan University , Kragujevac , Serbia , and.
Kenji Yokoia The Department of Nanomedicine , Houston Methodist Research Institute , Houston , USA.
Mauro Ferraria The Department of Nanomedicine , Houston Methodist Research Institute , Houston , USA.
Milos Kojica The Department of Nanomedicine , Houston Methodist Research Institute , Houston , USA.

Funding

Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2009 to 2014
$10.8M
NCI NIH HHS U54 CA143837NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

Over the last decade, nanotherapeutics gained increasingly important role in drug delivery because of their frequently beneficial pharmacokinetics (PK) and lower toxicity when compared to classical systemic drug delivery. In view of therapeutic payload delivery, convective transport is crucial for systemic distribution via circulatory system, but the target domain is tissue outside vessels where transport is governed by diffusion. Here, we have computationally investigated the understudied interplay of physical transports to characterize PK of payload of nanotherapeutics. The analysis of human vasculature tree showed that convective transport is still 5 times more efficient than diffusion suggesting that circulating and payload releasing drug vectors can contribute mostly to systemic delivery. By comparing payload delivery using systemic circulation and drug vectors to microenvironment, internalized vectors were the most efficient and showed Area under the Curve almost 100 higher than in systemic delivery. The newly introduced zone of influence parameter indicated that vectors, especially internalized, lead to the largest tissue fraction covered with therapeutically significant payload concentration. The internalization to microenvironment minimizes effects of plasma domain on payload extravasation from nanotherapeutics. The computed results showed that classical PK, which mostly relies on concentration profiles in plasma, sometimes might be inadequate or not sufficient in explaining therapeutic efficacy of nanotherapeutics. These results provide a deeper look into PK of drug vectors and can help in the design of better drug delivery strategies.

Indexed as

Biological TransportDiffusionDrug Delivery SystemsDrug LiberationHumansNanoparticlesPharmacokineticsTumor MicroenvironmentCapillariesdiffusionlocal concentrationpharmacokineticszone of influence

Identifiers

PMID25835222
PMCPMC4673029

What OpenQuestion holds

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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.