Evidence map›Paper›PMID 25048378›Full record

ArticleJournal of pharmaceutical sciences2014

Multichannel imaging to quantify four classes of pharmacokinetic distribution in tumors.

Sumit Bhatnagar, Emily Deschenes, Jianshan Liao, Cornelius Cilliers, Greg M Thurber

Abstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  14. Importance of Drug Pharmacokinetics at the Site of Action.Clinical and translational science · 2017
    Review
  15. Article
  16. Article
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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.

Sumit BhatnagarDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, 48109.
Emily Deschenes
Jianshan Liao
Cornelius Cilliers
Greg M Thurber

Funding

Whole Body Imaging of Beta Cell Mass in DiabetesK01DK093766 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THURBER, GREG · 2011 to 2014
$641k
NIDDK NIH HHS 1K01DK093766NIDDK NIH HHS K01 DK093766
6 · The paper itself

Abstract

Low and heterogeneous delivery of drugs and imaging agents to tumors results in decreased efficacy and poor imaging results. Systemic delivery involves a complex interplay of drug properties and physiological factors, and heterogeneity in the tumor microenvironment makes predicting and overcoming these limitations exceptionally difficult. Theoretical models have indicated that there are four different classes of pharmacokinetic behavior in tissue, depending on the fundamental steps in distribution. In order to study these limiting behaviors, we used multichannel fluorescence microscopy and stitching of high-resolution images to examine the distribution of four agents in the same tumor microenvironment. A validated generic partial differential equation model with a graphical user interface was used to select fluorescent agents exhibiting these four classes of behavior, and the imaging results agreed with predictions. BODIPY-FL exhibited higher concentrations in tissue with high blood flow, cetuximab gave perivascular distribution limited by permeability, high plasma protein and target binding resulted in diffusion-limited distribution for Hoechst 33342, and Integrisense 680 was limited by the number of binding sites in the tissue. Together, the probes and simulations can be used to investigate distribution in other tumor models, predict tumor drug distribution profiles, and design and interpret in vivo experiments.

Indexed as

PharmacokineticsHumansMicroscopy, FluorescenceNeoplasmsdrug transportfluorescence microscopyimaging methodsin vivo/in vitro correlations (IVIVC)Krogh cylindermathematical modelpredictive partial differential equation simulations

Identifiers

PMID25048378
PMCPMC4174719

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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.