Evidence map›Paper›PMID 29159332›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2017

A biomaterial screening approach reveals microenvironmental mechanisms of drug resistance.

Alyssa D Schwartz, Lauren E Barney, Lauren E Jansen, Thuy V Nguyen, Christopher L Hall, Aaron S Meyer, Shelly R Peyton

Open access · bronzeAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.8field-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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  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

7 authors at 2 institutions in 1 country.

Alyssa D SchwartzDepartment of Chemical Engineering, University of Massachusetts Amherst, 686 N Pleasant St. 159 Goessmann Laboratory, Amherst, MA 01003, USA. speyton@ecs.umass.edu.
Lauren E Barney
Lauren E Jansen
Thuy V Nguyen
Christopher L Hall
Aaron S Meyer
Shelly R Peyton
University of Massachusetts Amherst · USUniversity of California, Los Angeles · US

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Tissue-specific stem cells and breast cancer tissue tropism in bioengineered microenvironmentsDP2CA186573 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI PEYTON, SHELLY R. · 2013 to 2015
$2.6M
Adapter-Layer RTK Signaling: Basic Understanding & Targeted DrugResistanceDP5OD019815 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MEYER, AARON SAMUEL · 2014 to 2018
$2.0M
NCI NIH HHS DP2 CA186573NIGMS NIH HHS T32 GM008515NIH HHS DP5 OD019815
6 · The paper itself

Abstract

Traditional drug screening methods lack features of the tumor microenvironment that contribute to resistance. Most studies examine cell response in a single biomaterial platform in depth, leaving a gap in understanding how extracellular signals such as stiffness, dimensionality, and cell-cell contacts act independently or are integrated within a cell to affect either drug sensitivity or resistance. This is critically important, as adaptive resistance is mediated, at least in part, by the extracellular matrix (ECM) of the tumor microenvironment. We developed an approach to screen drug responses in cells cultured on 2D and in 3D biomaterial environments to explore how key features of ECM mediate drug response. This approach uncovered that cells on 2D hydrogels and spheroids encapsulated in 3D hydrogels were less responsive to receptor tyrosine kinase (RTK)-targeting drugs sorafenib and lapatinib, but not cytotoxic drugs, compared to single cells in hydrogels and cells on plastic. We found that transcriptomic differences between these in vitro models and tumor xenografts did not reveal mechanisms of ECM-mediated resistance to sorafenib. However, a systems biology analysis of phospho-kinome data uncovered that variation in MEK phosphorylation was associated with RTK-targeted drug resistance. Using sorafenib as a model drug, we found that co-administration with a MEK inhibitor decreased ECM-mediated resistance in vitro and reduced in vivo tumor burden compared to sorafenib alone. In sum, we provide a novel strategy for identifying and overcoming ECM-mediated resistance mechanisms by performing drug screening, phospho-kinome analysis, and systems biology across multiple biomaterial environments.

Indexed as

Tumor MicroenvironmentAnimalsAntineoplastic AgentsBenzamidesBiocompatible MaterialsCell CommunicationCell Line, TumorDiphenylamineDrug Evaluation, PreclinicalDrug Resistance, NeoplasmExtracellular MatrixFemaleHumansHydrogelsHydrogenLinear ModelsAntineoplastic AgentsBenzamidesBiocompatible MaterialsDiphenylamineHydrogelsHydrogenMAP Kinase Kinase KinasesmirdametinibNiacinamidePhenylurea CompoundsPhosphoproteinsPlasticsSorafenib

Identifiers

PMID29159332
PMCPMC5725273
OpenAlexW2736741939

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.