Evidence map›Paper›PMID 29258924›Full record

ArticleMethods (San Diego, Calif.)2018

Assessing multiparametric drug response in tissue engineered tumor microenvironment models.

Alexandra R Harris, Jessica X Yuan, Jennifer M Munson

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Modeling Immunity In Vitro: Slices, Chips, and Engineered Tissues.Annual review of biomedical engineering · 2021
    Pooled it
  2. Article
  3. Article
  4. Ex Vivo Model of Breast Cancer Cell Invasion in Live Lymph Node Tissue.ACS pharmacology & translational science · 2025
    Article
  5. Ex vivo model of breast cancer cell invasion in live lymph node tissue.bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Review
  8. Modeling lymphangiogenesis: Pairing in vitro and in vivo metrics.Microcirculation (New York, N.Y. : 1994) · 2023
    Review
  9. Review
  10. Engineering complexity in human tissue models of cancer.Advanced drug delivery reviews · 2022
    Review
  11. Article
  12. Article
  13. Three-DimensionalFrontiers in oncology · 2020
    Article
  14. Applicability of drug response metrics for cancer studies using biomaterials.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Alexandra R HarrisDepartment of Pathology, Charlottesville, VA, USA; University of Virginia School of Medicine, Charlottesville, VA, USA.
Jessica X YuanDepartment of Biomedical Engineering, Charlottesville, VA, USA; University of Virginia School of Medicine, Charlottesville, VA, USA.
Jennifer M MunsonDepartment of Biomedical Engineering, Charlottesville, VA, USA; University of Virginia School of Medicine, Charlottesville, VA, USA; Department of Biomedical Engineering & Mechanics, Virginia Tech, Blacksburg, VA, USA. Electronic address: munsonj@vt.edu.
University of Virginia · USCharlottesville Medical Research · 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
BIOTECHNOLOGY TRAINING PROGRAMT32GM008715 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LAURIE, GORDON WILLIAM · 2000 to 2019
$6.6M
NCI NIH HHS T32 CA009109NIGMS NIH HHS T32 GM008715
6 · The paper itself

Abstract

The tumor microenvironment is important in promoting treatment resistance of tumor cells via multiple mechanisms. However, studying this interaction often proves difficult. In vivo animal models are costly, time-consuming, and often fail to adequately predict human response to treatment. Conversely, testing drug response on human tumor cells in vitro in 2D cell culture excludes the important contribution of stromal cells and biophysical forces seen in the in vivo tumor microenvironment. Here, we present tissue-engineered models of both human brain and breast tumor microenvironments incorporating key stromal cell populations for assessing multiple mechanisms of therapeutic response using flow cytometry. We show our physiologically-relevant systems used to interrogate a variety of parameters associated with chemotherapeutic efficacy, including cell death, proliferation, drug uptake, and invasion of cancer and stromal cell populations. The use of flow cytometry allows for single cell, quantitative, and fast assessments of multiple outcomes affecting anti-tumor therapy failure. Our system can be modified to add and remove cellular components with ease, thereby enabling the study of individual cellular contributions in the tumor microenvironment. Together, our models and analysis methods illustrate the importance of developing fast, cost-effective, and reproducible methods to model complex human systems in a physiologically-relevant manner that may prove useful for drug screening efforts in the future.

Indexed as

Brain NeoplasmsBreast NeoplasmsCell Line, TumorCell ProliferationFemaleFlow CytometryHumansSingle-Cell AnalysisTissue EngineeringTumor Microenvironment

Identifiers

PMID29258924
PMCPMC5815918
OpenAlexW2774754307

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.