Evidence map›Paper›PMID 32923637›Full record

ArticleScience advances2020

Examining metastatic behavior within 3D bioprinted vasculature for the validation of a 3D computational flow model.

W F Hynes, M Pepona, C Robertson, J Alvarado, K Dubbin, M Triplett, J J Adorno, A Randles, M L Moya

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

41 citing papers in PubMed, 72 citations in OpenAlex.

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  5. Frontiers in bioengineering and biotechnology · 2026
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  19. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

9 authors at 3 institutions in 1 country.

W F HynesMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0003-3628-9486
M PeponaDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
C RobertsonMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0002-3059-5135
J AlvaradoMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
K DubbinMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0002-9495-4766
M TriplettMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0002-8561-3206
J J AdornoDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.
A RandlesDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-6318-3885
M L MoyaMaterials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0002-6714-1700
Lawrence Livermore National Laboratory · USDuke University · USThe Ohio State University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

Understanding the dynamics of circulating tumor cell (CTC) behavior within the vasculature has remained an elusive goal in cancer biology. To elucidate the contribution of hydrodynamics in determining sites of CTC vascular colonization, the physical forces affecting these cells must be evaluated in a highly controlled manner. To this end, we have bioprinted endothelialized vascular beds and perfused these constructs with metastatic mammary gland cells under physiological flow rates. By pairing these in vitro devices with an advanced computational flow model, we found that the bioprinted analog was readily capable of evaluating the accuracy and integrated complexity of a computational flow model, while also highlighting the discrete contribution of hydrodynamics in vascular colonization. This intersection of these two technologies, bioprinting and computational simulation, is a key demonstration in the establishment of an experimentation pipeline for the understanding of complex biophysical events.

Identifiers

PMID32923637
PMCPMC7449690
OpenAlexW3081157972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.