Evidence map›Paper›PMID 32569616›Full record

ReviewCancer letters2020

Three dimensional engineered models to study hypoxia biology in breast cancer.

Vaishali Aggarwal, Oshin Miranda, Paul A Johnston, Shilpa Sant

Open access · greenAbstract readReview
In one paragraph

Review in Cancer letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  14. Three-dimensional core-shell alginate microsphere for cancer hypoxia simulationFrontiers in bioengineering and biotechnology · 2023
    Article
  15. Article
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  17. Biomaterials for Mimicking and Modelling Tumor Microenvironment.Advances in experimental medicine and biology · 2022
    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

4 authors at 1 institution in 1 country.

Vaishali AggarwalDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Oshin MirandaDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Paul A JohnstonDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Shilpa SantDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA. Electronic address: shs149@pitt.edu.
University of Pittsburgh · US

Funding

Three-dimensional organoid models to study breast cancer progressionR37CA232209 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANT, SHILPA · 2018 to 2024
$3.0M
NCI NIH HHS R37 CA232209
6 · The paper itself

Abstract

Breast cancer is the second leading cause of mortality among women worldwide. Despite the available therapeutic regimes, variable treatment response is reported among different breast cancer subtypes. Recently, the effects of the tumor microenvironment on tumor progression as well as treatment responses have been widely recognized. Hypoxia and hypoxia inducible factors in the tumor microenvironment have long been known as major players in tumor progression and survival. However, the majority of our understanding of hypoxia biology has been derived from two dimensional (2D) models. Although many hypoxia-targeted therapies have elicited promising results in vitro and in vivo, these results have not been successfully translated into clinical trials. These limitations of 2D models underscore the need to develop and integrate three dimensional (3D) models that recapitulate the complex tumor-stroma interactions in vivo. This review summarizes role of hypoxia in various hallmarks of cancer progression. We then compare traditional 2D experimental systems with novel 3D tissue-engineered models giving accounts of different bioengineering platforms available to develop 3D models and how these 3D models are being exploited to understand the role of hypoxia in breast cancer progression.

Indexed as

Models, BiologicalSpheroids, CellularAnimalsBreast NeoplasmsCell HypoxiaFemaleHumansBreast cancerCancer hallmarksHypoxiaMicrotumor modelsThree-dimensional (3D) models

Identifiers

PMID32569616
PMCPMC7442747
OpenAlexW3036677665

What Socratic 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 Socratic graph.