Evidence map›Paper›PMID 23860772›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2013

Microfluidic technique to measure intratumoral transport and calculate drug efficacy shows that binding is essential for doxorubicin and release hampers Doxil.

Bhushan J Toley, Zachary G Tropeano Lovatt, Josephine L Harrington, Neil S Forbes

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Chicken embryo model forInternational journal of pharmaceutics: X · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Intra-tumoral drug concentration mapping within solid tumor micro-milieu using in-vitro model and doxorubicin as a model drug.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
  10. Article
  11. Predicting drug delivery efficiency into tumor tissues through molecular simulation of transport in complex vascular networks.Journal of controlled release : official journal of the Controlled Release Society · 2018
    Article
  12. Article
  13. Differential response to doxorubicin in breast cancer subtypes simulated by a microfluidic tumor model.Journal of controlled release : official journal of the Controlled Release Society · 2017
    Article
  14. In vitro microfluidic models of tumor microenvironment to screen transport of drugs and nanoparticles.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2017
    Review
  15. Article
  16. Trg-deficient Salmonella colonize quiescent tumor regions by exclusively penetrating or proliferating.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Article
  17. 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

4 authors.

Bhushan J ToleyDepartment of Chemical Engineering, University of Massachusetts, Amherst, 159 Goessmann Laboratory, 686 North Pleasant Street, Amherst, MA 01003-9303, USA. forbes@ecs.umass.edu.
Zachary G Tropeano Lovatt
Josephine L Harrington
Neil S Forbes

Funding

Engineering Salmonella to be a targeted intratumoral anti-cancer therapeuticR01CA120825 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FORBES, NEIL S. · 2008 to 2011
$1.2M
Microelectrode oxygenation control of tumor necrosisR21CA112335 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FORBES, NEIL S · 2005 to 2006
$332k
NCI NIH HHS R01 CA120825NCI NIH HHS R01CA120825NCI NIH HHS R21 CA112335NCI NIH HHS R21CA112335
6 · The paper itself

Abstract

Intratumoral transport and binding are important mechanisms that determine the efficacy of cancer drugs. Current drug screening methods rely heavily on monolayers of cancer cells, which overlook the contribution of tissue-level transport and binding. To quantify these factors, we developed a method that couples an in vitro, drug-delivery device containing a three-dimensional cell mass and a mathematical model of drug diffusion, binding to DNA, release from carriers, and clearance. Spheroids derived from LS174T human colon carcinoma cells were inserted into rectangular chambers to form rectangular cell masses (tissue) and subjected to continuous medium perfusion. To simulate drug delivery and clearance, the tissues were treated with doxorubicin followed by drug-free medium. To evaluate the effect of liposome encapsulation, tissues were treated with liposome-encapsulated doxorubicin (Doxil). Spatiotemporal dynamics of drug distribution and apoptosis was measured by fluorescence microscopy. The diffusivity and DNA binding constant of doxorubicin were determined by fitting experimental data to the mathematical model. Results show that an ideal combination of diffusivity, binding constant, clearance rate, and cytotoxicity contribute to the high therapeutic efficacy of doxorubicin. There was no detectable release of doxorubicin from Doxil in the tissues. The rate of doxorubicin release, evaluated by fitting experimental data to the mathematical model, was below therapeutically effective levels. These results show that despite enhanced systemic circulation obtained by liposome encapsulation, the therapeutic effect of Doxil is limited by slow intratumoral drug release. The experimental and computational methods developed here to calculate drug efficacy provide mechanisms to explain poor performance of drug candidates, and enable design of more successful cancer drugs.

Indexed as

Models, BiologicalAdenocarcinomaAntineoplastic AgentsApoptosisBiological TransportCell Line, TumorColonic NeoplasmsDoxorubicinHalf-LifeHumansMicrofluidicsMicroscopy, FluorescencePolyethylene GlycolsAntineoplastic AgentsDoxorubicinliposomal doxorubicinPolyethylene Glycols

Identifiers

PMID23860772
PMCPMC3760710

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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.