Evidence map›Paper›PMID 30636289›Full record

ArticleBiotechnology and bioengineering2019

In vitro vascularized liver and tumor tissue microenvironments on a chip for dynamic determination of nanoparticle transport and toxicity.

Alican Ozkan, Neda Ghousifam, Paul Jack Hoopes, Thomas Edward Yankeelov, Marissa Nichole Rylander

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Organ-on-a-chip toxicology.Innovation (Cambridge (Mass.)) · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Advances in the Model Structure of In Vitro Vascularized Organ-on-a-Chip.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023
    Review
  17. Review
  18. Review
  19. Review
  20. 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

5 authors.

Alican OzkanDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-3825-5899
Neda GhousifamDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.
Paul Jack HoopesDepartment of Biostatistics and Medicine, Dartmouth College, Lebanon, New Hampshire.
Thomas Edward YankeelovDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas.
Marissa Nichole RylanderDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.

Funding

Quantitative Multiscale Imaging to Optimize Cancer Treatment StrategiesR01CA186193 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, RERICHA, ERIN C · 2014 to 2019
$3.1M
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5M
Nanoparticle Transport as a function of Physiologic and Hyperthermic Conditions in a 3D Vascularized Microfluidic Tumor PlatformR21EB019646 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI RYLANDER, MARISSA NICHOLE, VLACHOS, PAVLOS P · 2015 to 2016
$415k
NCI NIH HHS R01 CA186193NCI NIH HHS U01 CA174706NIBIB NIH HHS R21 EB019646
6 · The paper itself

Abstract

This paper presents the development of a vascularized breast tumor and healthy or tumorigenic liver microenvironments-on-a-chip connected in series. This is the first description of a vascularized multi tissue-on-a-chip microenvironment for modeling cancerous breast and cancerous/healthy liver microenvironments, to allow for the study of dynamic and spatial transport of particles. This device enables the dynamic determination of vessel permeability, the measurement of drug and nanoparticle transport, and the assessment of the associated efficacy and toxicity to the liver. The platform is utilized to determine the effect of particle size on the spatiotemporal diffusion of particles through each microenvironment, both independently and in response to the circulation of particles in varying sequences of microenvironments. The results show that when breast cancer cells were cultured in the microenvironments they had a 2.62-fold higher vessel porosity relative to vessels within healthy liver microenvironments. Hence, the permeability of the tumor microenvironment increased by 2.35- and 2.77-fold compared with a healthy liver for small and large particles, respectively. The extracellular matrix accumulation rate of larger particles was 2.57-fold lower than smaller particles in a healthy liver. However, the accumulation rate was 5.57-fold greater in the breast tumor microenvironment. These results are in agreement with comparable in vivo studies. Ultimately, the platform could be utilized to determine the impact of the tissue or tumor microenvironment, or drug and nanoparticle properties, on transport, efficacy, selectivity, and toxicity in a dynamic, and high-throughput manner for use in treatment optimization.

Indexed as

Lab-On-A-Chip DevicesTumor MicroenvironmentBreast NeoplasmsCell Line, TumorExtracellular MatrixFemaleHumansLiver NeoplasmsNanoparticlesNeovascularization, PathologicParticle SizeEPR effectmicrofluidicsorgan-on-a-chipparticle transporttissue engineeringtumor microenvironment

Identifiers

PMID30636289
PMCPMC10637916

What OpenQuestion holds

Textmetadata
LicenceTDM
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.