Evidence map›Paper›PMID 27923328›Full record

ArticleTissue engineering. Part A2017

Modeling Stroma-Induced Drug Resistance in a Tissue-Engineered Tumor Model of Ewing Sarcoma.

Marco Santoro, Brian A Menegaz, Salah-Eddine Lamhamedi-Cherradi, Eric R Molina, Danielle Wu, Waldemar Priebe, Joseph A Ludwig, Antonios G Mikos

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part A, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Exploring bone-tumor interactions through 3DJournal of bone oncology · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Modeling neoplastic disease with spheroids and organoids.Journal of hematology & oncology · 2020
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Biomechanical forces in tissue engineered tumor models.Current opinion in biomedical engineering · 2018
    Article
  15. 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

8 authors at 2 institutions in 1 country.

Marco Santoro1 Department of Chemical and Biomolecular Engineering, Rice University , Houston, Texas.
Brian A Menegaz2 Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center , Houston, Texas.
Salah-Eddine Lamhamedi-Cherradi2 Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center , Houston, Texas.
Eric R Molina3 Department of Bioengineering, Rice University , Houston, Texas.
Danielle Wu4 Department of BioSciences, Rice University , Houston, Texas.
Waldemar Priebe5 Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center , Houston, Texas.
Joseph A Ludwig2 Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center , Houston, Texas.
Antonios G Mikos1 Department of Chemical and Biomolecular Engineering, Rice University , Houston, Texas.
Rice University · USThe University of Texas MD Anderson Cancer Center · US

Funding

Three-dimensional Model of Human Ewing SarcomaR01CA180279 · NCI · RICE UNIVERSITY · PI KASPER, FRED KURTIS, LUDWIG, JOSEPH A · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA180279
6 · The paper itself

Abstract

Three-dimensional (3D) tumor models are gaining traction in the research community given their capacity to mimic aspects of the tumor microenvironment absent in monolayer systems. In particular, the ability to spatiotemporally control cell placement within ex vivo 3D systems has enabled the study of tumor-stroma interactions. Furthermore, by regulating biomechanical stimuli, one can reveal how biophysical cues affect stromal cell phenotype and how their phenotype impacts tumor drug sensitivity. Both tumor architecture and shear force have profound effects on Ewing sarcoma (ES) cell behavior and are known to elicit ligand-mediated activation of the insulin-like growth factor-1 receptor (IGF-1R), thereby mediating resistance of ES cells to IGF-1R inhibitors. Here, we demonstrate that these same biophysical cues-modeled by coculturing ES cells and mesenchymal stem cells (MSCs) in 3D scaffolds within a flow perfusion bioreactor-activate interleukin-6 and transcription factor Stat3. Critically, an active Stat3 pathway drastically alters the equilibrium of IGF-1R-targeted ligands (IGF-1) and antagonists (IGFBP-3) secreted by MSCs. To elucidate how this might promote ES tumor growth under physiological shear-stress conditions, ES cells and MSCs were co-cultured by using a flow perfusion bioreactor at varying ratios that simulate a wide range of native MSC abundance. Our results indicate that ES cells and MSCs stimulate each other's growth. Co-targeting IGF-1R and Stat3 enhanced antineoplastic activity over monotherapy treatment. Although this discovery requires prospective clinical validation in patients, it reveals the power of employing a more physiological tissue-engineered 3D tumor model to elucidate how tumor cells co-opt stromal cells to acquire drug resistance.

Indexed as

Drug Resistance, NeoplasmModels, BiologicalNeoplasm ProteinsTumor MicroenvironmentAntineoplastic AgentsBone NeoplasmsCell Line, TumorHumansSarcoma, EwingAntineoplastic AgentsNeoplasm Proteinsdrug resistanceEwing sarcomaflow perfusion bioreactortissue engineeringtumor modeltumor stroma

Identifiers

PMID27923328
PMCPMC5240012
OpenAlexW2560132545

What OpenQuestion holds

Textmetadata
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.