Evidence map›Paper›PMID 35200398›Full record

ArticleBioengineering (Basel, Switzerland)2022

Designing Patient-Driven, Tissue-Engineered Models of Primary and Metastatic Breast Cancer.

Garrett F Beeghly, Candace Thomas, Jessica X Yuan, Alexandra R Harris, Jennifer M Munson

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Garrett F BeeghlyDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-4726-5896
Candace ThomasDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Jessica X YuanDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Alexandra R HarrisDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Jennifer M MunsonDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-9477-1505
University of Virginia · USBiomedical Research Institute · US

Funding

Cancer Research Training Program: From Molecular Mechanisms to Therapeutic StrategiesT32CA009109 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Andrew Carl Dudley, Melanie R Rutkowski · 1985 to 2026
$13.9M
NCI NIH HHS T32 CA009109University of Virginia n/a
6 · The paper itself

Abstract

The rising survival rate for early-stage breast cancer in the United States has created an expanding population of women in remission at risk for distant recurrence, with metastatic spread to the brain demonstrating an especially poor prognosis. The current standard of care for breast cancer brain metastases is not well defined or differentiated from the treatment of brain metastases from other primary sites. Here, we present tissue-engineered models of the primary and brain metastatic breast cancer microenvironments informed by analysis of patient tumor resections. We find that metastatic resections demonstrate distinct cellular and matrix components compared with primary resections or non-cancerous controls. Using our model systems, we find that the observed deposition of collagen I after metastasis to the brain may enhance breast cancer invasion. Future optimization of these models will present a novel platform to examine tumor-stroma interactions and screen therapeutics for the management of metastatic breast cancer.

Indexed as

astrocytesbreast cancer metastasiscollagenfibroblastshyaluronanmatrix remodelingtumor microenvironment

Identifiers

PMID35200398
PMCPMC8869490
OpenAlexW4206068568

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.