Evidence map›Paper›PMID 32603024›Full record

ArticleAdvanced biosystems2020

Understanding ER+ Breast Cancer Dormancy Using Bioinspired Synthetic Matrices for Long-Term 3D Culture and Insights into Late Recurrence.

Elisa M Ovadia, Lina Pradhan, Lisa A Sawicki, Julie E Cowart, Rebecca E Huber, Shawn W Polson, Chuming Chen, Kenneth L van Golen, Karen E Ross, Cathy H Wu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Advanced biosystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  9. A cell cycle centric view of tumour dormancy.British journal of cancer · 2023
    Review
  10. Article
  11. Live Cell Lineage Tracing of Dormant Cancer Cells.Advanced healthcare materials · 2023
    Article
  12. 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

11 authors at 2 institutions in 1 country.

Elisa M OvadiaDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, USA.
Lina PradhanDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, USA.
Lisa A SawickiDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, USA.
Julie E CowartCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Rebecca E HuberDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, USA.
Shawn W PolsonCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Chuming ChenCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Kenneth L van GolenDepartment of Biological Sciences, University of Delaware, Newark, DE, 19711, USA.
Karen E RossDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA.
Cathy H WuCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
April M KloxinDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, 19716, USA.ORCID 0000-0002-4594-2953
University of Delaware · USGeorgetown University · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI SCHMITZ, KARL ROBERT · 2014 to 2024
$26.8M
NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM104316NIH HHS P20 GM103446
6 · The paper itself

Abstract

Late recurrences of breast cancer are hypothesized to originate from disseminated tumor cells that re-activate after a long period of dormancy, ≥5 years for estrogen-receptor positive (ER+) tumors. An outstanding question remains as to what the key microenvironment interactions are that regulate this complex process, and well-defined human model systems are needed for probing this. Here, a robust, bioinspired 3D ER+ dormancy culture model is established and utilized to probe the effects of matrix properties for common sites of late recurrence on breast cancer cell dormancy. Formation of dormant micrometastases over several weeks is examined for ER+ cells (T47D, BT474), where the timing of entry into dormancy versus persistent growth depends on matrix composition and cell type. In contrast, triple negative cells (MDA-MB-231), associated with early recurrence, are not observed to undergo long-term dormancy. Bioinformatic analyses quantitatively support an increased "dormancy score" gene signature for ER+ cells (T47D) and reveal differential expression of genes associated with different biological processes based on matrix composition. Further, these analyses support a link between dormancy and autophagy, a potential survival mechanism. This robust model system will allow systematic investigations of other cell-microenvironment interactions in dormancy and evaluation of therapeutics for preventing late recurrence.

Indexed as

Breast NeoplasmsModels, BiologicalAutophagyCell Culture TechniquesCell Line, TumorExtracellular MatrixFemaleHumansReceptors, EstrogenSynthetic BiologyTumor MicroenvironmentReceptors, Estrogen3D culture modelsautophagyER+ breast cancer dormancylate recurrencesynthetic extracellular matrices

Identifiers

PMID32603024
PMCPMC7807552
OpenAlexW3040396580

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.