Evidence map›Paper›PMID 31542501›Full record

ArticleActa biomaterialia2019

Mechanically tunable coaxial electrospun models of YAP/TAZ mechanoresponse and IGF-1R activation in osteosarcoma.

Eric R Molina, Letitia K Chim, Maria C Salazar, Shail M Mehta, Brian A Menegaz, Salah-Eddine Lamhamedi-Cherradi, Tejus Satish, Sana Mohiuddin, David McCall, Ana Maria Zaske and 6 more

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 42 citations in OpenAlex.

  1. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

16 authors at 3 institutions in 1 country.

Eric R MolinaDepartment of Bioengineering, Rice University, Houston, TX, United States.
Letitia K ChimDepartment of Bioengineering, Rice University, Houston, TX, United States.
Maria C SalazarDepartment of Bioengineering, Rice University, Houston, TX, United States.
Shail M MehtaDepartment of Applied Physics, Rice University, Houston, TX, United States.
Brian A MenegazDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
Salah-Eddine Lamhamedi-CherradiDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
Tejus SatishDepartment of Bioengineering, Rice University, Houston, TX, United States.
Sana MohiuddinDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
David McCallDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
Ana Maria ZaskeThe University of Texas Health Science Center at Houston, Houston, TX, United States.
Branko CuglievanDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
Alexander J LazarDepartment of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States; Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
David W ScottDepartment of Statistics, Rice University, Houston, TX, United States.
Jane K Grande-AllenDepartment of Bioengineering, Rice University, Houston, TX, United States.
Joseph A LudwigDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States.
Antonios G MikosDepartment of Bioengineering, Rice University, Houston, TX, United States. Electronic address: mikos@rice.edu.
Rice University · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Training and Dissemination CoreP41EB023833 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI FISHER, JOHN P · 2017 to 2021
$6.2M
Three-dimensional Model of Human Ewing SarcomaR01CA180279 · NCI · RICE UNIVERSITY · PI KASPER, FRED KURTIS, LUDWIG, JOSEPH A · 2014 to 2018
$1.8M
Three-dimensional, mechanically tunable scaffold systems to model osteosarcoma heterogeneity and therapeutic responseF31CA213994 · NCI · RICE UNIVERSITY · PI MOLINA, ERIC RODOLFO · 2016 to 2019
$163k
NCI NIH HHS F31 CA213994NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA180279NIBIB NIH HHS P41 EB023833
6 · The paper itself

Abstract

Current in vitro methods for assessing cancer biology and therapeutic response rely heavily on monolayer cell culture on hard, plastic surfaces that do not recapitulate essential elements of the tumor microenvironment. While a host of tumor models exist, most are not engineered to control the physical properties of the microenvironment and thus may not reflect the effects of mechanotransduction on tumor biology. Utilizing coaxial electrospinning, we developed three-dimensional (3D) tumor models with tunable mechanical properties in order to elucidate the effects of substrate stiffness and tissue architecture in osteosarcoma. Mechanical properties of coaxial electrospun meshes were characterized with a series of macroscale testing with uniaxial tensile testing and microscale testing utilizing atomic force microscopy on single fibers. Calculated moduli in our models ranged over three orders of magnitude in both macroscale and microscale testing. Osteosarcoma cells responded to decreasing substrate stiffness in 3D environments by increasing nuclear localization of Hippo pathway effectors, YAP and TAZ, while downregulating total YAP. Additionally, a downregulation of the IGF-1R/mTOR axis, the target of recent clinical trials in sarcoma, was observed in 3D models and heralded increased resistance to combination chemotherapy and IGF-1R/mTOR targeted agents compared to monolayer controls. In this study, we highlight the necessity of incorporating mechanical cues in cancer biology investigation and the complexity in mechanotransduction as a confluence of stiffness and culture architecture. Our models provide a versatile, mechanically variable substrate on which to study the effects of physical cues on the pathogenesis of tumors. STATEMENT OF SIGNIFICANCE: The tumor microenvironment plays a critical role in cancer pathogenesis. In this work, we engineered 3D, mechanically tunable, coaxial electrospun environments to determine the roles of the mechanical environment on osteosarcoma cell phenotype, morphology, and therapeutic response. We characterize the effects of varying macroscale and microscale stiffnesses in 3D environments on the localization and expression of the mechanoresponsive proteins, YAP and TAZ, and evaluate IGF-1R/mTOR pathway activation, a target of recent clinical trials in sarcoma. Increased nuclear YAP/TAZ was observed as stiffness in 3D was decreased. Downregulation of the IGF-1R/mTOR cascade in all 3D environments was observed. Our study highlights the complexity of mechanotransduction in 3D culture and represents a step towards controlling microenvironmental elements in in vitro cancer investigations.

Indexed as

Mechanical PhenomenaMechanotransduction, CellularModels, BiologicalAdaptor Proteins, Signal TransducingBone NeoplasmsCell Line, TumorDown-RegulationElastic ModulusGelatinHumansOsteosarcomaPhenotypePolyestersReceptor, IGF Type 1SOXB1 Transcription FactorsTensile StrengthAdaptor Proteins, Signal TransducingGelatinpolycaprolactonePolyestersReceptor, IGF Type 1SOXB1 Transcription FactorsTOR Serine-Threonine KinasesTrans-ActivatorsTranscriptional Coactivator with PDZ-Binding Motif ProteinsTranscription FactorsWWTR1 protein, humanYAP1 protein, humanYAP-Signaling ProteinsCoaxial Electrospun ScaffoldsIGF-1RMechanically Tunable ScaffoldsOsteosarcomaTumor ModelYAP/TAZ

Identifiers

PMID31542501
PMCPMC7027943
OpenAlexW2974764749

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.