Evidence map›Paper›PMID 33928104›Full record

ArticleFrontiers in medicine2021

Computational Simulation of Exosome Transport in Tumor Microenvironment.

Roy Koomullil, Behnam Tehrani, Kayla Goliwas, Yong Wang, Selvarangan Ponnazhagan, Joel Berry, Jessy Deshane

Abstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  8. 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.

Roy KoomullilDepartment of Mechanical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.
Behnam TehraniDepartment of Mechanical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.
Kayla GoliwasDepartment of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Yong WangDepartment of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Selvarangan PonnazhaganDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Joel BerryDepartment of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.
Jessy DeshaneDepartment of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

Targeted therapy for breast cancer with osteolytic bone damageR01CA184770 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI PONNAZHAGAN, SELVARANGAN · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA184770
6 · The paper itself

Abstract

Cellular exosome-mediated crosstalk in tumor microenvironment (TME) is a critical component of anti-tumor immune responses. In addition to particle size, exosome transport and uptake by target cells is influenced by physical and physiological factors, including interstitial fluid pressure, and exosome concentration. These variables differ under both normal and pathological conditions, including cancer. The transport of exosomes in TME is governed by interstitial flow and diffusion. Based on these determinants, mathematical models were adapted to simulate the transport of exosomes in the TME with specified exosome release rates from the tumor cells. In this study, the significance of spatial relationship in exosome-mediated intercellular communication was established by treating their movement in the TME as a continuum using a transport equation, with advection due to interstitial flow and diffusion due to concentration gradients. To quantify the rate of release of exosomes by biomechanical forces acting on the tumor cells, we used a transwell platform with confluent triple negative breast cancer cells 4T1.2 seeded in BioFlex plates exposed to an oscillatory force. Exosome release rates were quantified from 4T1.2 cells seeded at the bottom of the well following the application of either no force or an oscillatory force, and these rates were used to model exosome transport in the transwell. The simulations predicted that a larger number of exosomes reached the membrane of the transwell for 4T1.2 cells exposed to the oscillatory force when compared to controls. Additionally, we simulated the interstitial fluid flow and exosome transport in a 2-dimensional TME with macrophages, T cells, and mixtures of these two populations at two different stages of a tumor growth. Computational simulations were carried out using the commercial computational simulation package, ANSYS/Fluent. The results of this study indicated higher exosome concentrations and larger interstitial fluid pressure at the later stages of the tumor growth. Quantifying the release of exosomes by cancer cells, their transport through the TME, and their concentration in TME will afford a deeper understanding of the mechanisms of these interactions and aid in deriving predictive models for therapeutic intervention.

Indexed as

computational modelingdiffusionexosomeinterstitial fluid flowtransport equations

Identifiers

PMID33928104
PMCPMC8076500

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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.