Evidence map›Paper›PMID 31403613›Full record

ArticleJournal of visualized experiments : JoVE2019

Studying Normal Tissue Radiation Effects using Extracellular Matrix Hydrogels.

Steven M Alves, Tian Zhu, Anastasia Shostak, Ninna S Rossen, Marjan Rafat

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

5 authors at 2 institutions in 1 country.

Steven M AlvesDepartment of Chemical and Biomolecular Engineering, Vanderbilt University.
Tian ZhuDepartment of Chemical and Biomolecular Engineering, Vanderbilt University.
Anastasia ShostakDepartment of Chemical and Biomolecular Engineering, Vanderbilt University.
Ninna S RossenDepartment of Radiation Oncology, Stanford University.
Marjan RafatDepartment of Chemical and Biomolecular Engineering, Vanderbilt University; Depattment of Biomedical Engineering, Vanderbilt University; Department of Radiation Oncology, Vanderbilt University Medical Center; marjan.rafat@vanderbilt.edu.
Vanderbilt University · USStanford University · US

Funding

Deconstructing the Tumor Microenvironment and its Role in MetastasisR00CA201304 · NCI · VANDERBILT UNIVERSITY · PI RAFAT, MARJAN · 2018 to 2020
$728k
NCI NIH HHS R00 CA201304
6 · The paper itself

Abstract

Radiation is a therapy for patients with triple negative breast cancer. The effect of radiation on the extracellular matrix (ECM) of healthy breast tissue and its role in local recurrence at the primary tumor site are unknown. Here we present a method for the decellularization, lyophilization, and fabrication of ECM hydrogels derived from murine mammary fat pads. Results are presented on the effectiveness of the decellularization process, and rheological parameters were assessed. GFP- and luciferase-labeled breast cancer cells encapsulated in the hydrogels demonstrated an increase in proliferation in irradiated hydrogels. Finally, phalloidin conjugate staining was employed to visualize cytoskeleton organization of encapsulated tumor cells. Our goal is to present a method for fabricating hydrogels for in vitro study that mimic the in vivo breast tissue environment and its response to radiation in order to study tumor cell behavior.

Indexed as

HydrogelsAnimalsExtracellular MatrixFemaleMammary Glands, AnimalMiceRheologyHydrogels

Identifiers

PMID31403613
PMCPMC6711182
OpenAlexW2963558128

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.