Evidence map›Paper›PMID 27516850›Full record

ArticleJournal of tissue engineering

A recapitulative three-dimensional model of breast carcinoma requires perfusion for multi-week growth.

Kayla F Goliwas, Lauren E Marshall, Evette L Ransaw, Joel L Berry, Andra R Frost

Abstract read
In one paragraph

Article in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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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.

Kayla F GoliwasDepartment of Pathology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Lauren E MarshallDepartment of Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, AL, USA.
Evette L RansawDepartment of Pathology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Joel L BerryDepartment of Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, AL, USA.
Andra R FrostDepartment of Pathology, The University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

Training Program in Cell, Molecular, and Developmental BiologyT32GM008111 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YODER, BRADLEY K. · 1985 to 2022
$5.4M
NIGMS NIH HHS T32 GM008111
6 · The paper itself

Abstract

Breast carcinomas are complex, three-dimensional tissues composed of cancer epithelial cells and stromal components, including fibroblasts and extracellular matrix. In vitro models that more faithfully recapitulate this dimensionality and stromal microenvironment should more accurately elucidate the processes driving carcinogenesis, tumor progression, and therapeutic response. Herein, novel in vitro breast carcinoma surrogates, distinguished by a relevant dimensionality and stromal microenvironment, are described and characterized. A perfusion bioreactor system was used to deliver medium to surrogates containing engineered microchannels and the effects of perfusion, medium composition, and the method of cell incorporation and density of initial cell seeding on the growth and morphology of surrogates were assessed. Perfused surrogates demonstrated significantly greater cell density and proliferation and were more histologically recapitulative of human breast carcinoma than surrogates maintained without perfusion. Although other parameters of the surrogate system, such as medium composition and cell seeding density, affected cell growth, perfusion was the most influential parameter.

Indexed as

bioreactorBreast carcinomain vitro modelsperfusionthree-dimensionaltumor microenvironment

Identifiers

PMID27516850
PMCPMC4968110

What OpenQuestion holds

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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.