Evidence map›Paper›PMID 31894641›Full record

ArticleAdvanced healthcare materials2020

Human Tumor-Lymphatic Microfluidic Model Reveals Differential Conditioning of Lymphatic Vessels by Breast Cancer Cells.

Jose M Ayuso, Max M Gong, Melissa C Skala, Paul M Harari, David J Beebe

Open access · greenAbstract read
In one paragraph

Article in Advanced healthcare materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Understanding the Lymphatic System: Tissue-on-Chip Modeling.Annual review of biomedical engineering · 2025
    Review
  10. Ex Vivo Model of Breast Cancer Cell Invasion in Live Lymph Node Tissue.ACS pharmacology & translational science · 2025
    Article
  11. Review
  12. Review
  13. Ex vivo model of breast cancer cell invasion in live lymph node tissue.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 1 institution in 1 country.

Jose M AyusoMorgridge Institute for Research, Madison, WI, 53715, USA.ORCID 0000-0002-9414-1845
Max M GongDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53706, USA.
Melissa C SkalaMorgridge Institute for Research, Madison, WI, 53715, USA.
Paul M HarariDepartment of Human Oncology, University of Wisconsin, Madison, WI, 53792, USA.
David J BeebeDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53706, USA.
University of Wisconsin–Madison · US

Funding

Project 4: Role of Receptor Tyrosine Kinase AXL in HNSCC Therapy ResistanceP50DE026787 · NIDCR · UNIVERSITY OF WISCONSIN-MADISON · PI YU, MENGGANG · 2016 to 2020
$10.8M
Radiation response within the tumor microenvironmentR01CA164492 · NCI · UNIVERSITY OF CHICAGO · PI KRON, STEPHEN J. · 2011 to 2015
$4.8M
An automated high-throughput tissue model for screening metastatic effectorsR01CA186134 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J · 2015 to 2019
$3.1M
(PQ7) Quantitative in vivo optical imaging of tumor heterogeneityR01CA205101 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2016 to 2020
$1.9M
Cellular-level Optical Metabolic Imaging to Predict Drug Response in CancerR01CA185747 · NCI · VANDERBILT UNIVERSITY · PI SKALA, MELISSA CAROLINE · 2014 to 2019
$1.6M
Department of Defense Breast Cancer Research Program W81XWH-13-1-0194Mary Kay Foundation 067-16Morgridge Research InstituteNational Science Foundation CBET-1642287NCI NIH HHS R01 CA164492NCI NIH HHS R01 CA185747NCI NIH HHS R01 CA186134NCI NIH HHS R01 CA205101NIDCR NIH HHS P50 DE026787NIH HHS R01 CA164492NIH HHS R01 CA185747NIH HHS R01 CA205101University of Wisconsin Carbone Cancer Center AAB7173
6 · The paper itself

Abstract

Breast tumor progression is a complex process involving intricate crosstalk between the primary tumor and its microenvironment. In the context of breast tumor-lymphatic interactions, it is unclear how breast cancer cells alter the gene expression of lymphatic endothelial cells and how these transcriptional changes potentiate lymphatic dysfunction. Thus, there is a need for in vitro lymphatic vessel models to study these interactions. In this work, a tumor-lymphatic microfluidic model is developed to study the differential conditioning of lymphatic vessels by estrogen receptor-positive (i.e., MCF7) and triple-negative (i.e., MDA-MB-231) breast cancer cells. The model consists of a lymphatic endothelial vessel cultured adjacently to either MCF7 or MDA-MB-231 cells. Quantitative transcriptional analysis reveals expression changes in genes related to vessel growth, permeability, metabolism, hypoxia, and apoptosis in lymphatic endothelial cells cocultured with breast cancer cells. Interestingly, these changes are different in the MCF7-lymphatic cocultures as compared to the 231-lymphatic cocultures. Importantly, these changes in gene expression correlate to functional responses, such as endothelial barrier dysfunction. These results collectively demonstrate the utility of this model for studying breast tumor-lymphatic crosstalk for multiple breast cancer subtypes.

Indexed as

Breast NeoplasmsCell Line, TumorCoculture TechniquesEndothelial CellsFemaleGene Expression Regulation, NeoplasticHumansLymphatic VesselsMCF-7 CellsMicrofluidicsTriple Negative Breast Neoplasmsbreast cancerestrogen receptor-positivelymphaticmicrofluidictriple-negative

Identifiers

PMID31894641
PMCPMC7004876
OpenAlexW2997888561

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.