Evidence map›Paper›PMID 35269446›Full record

ArticleCells2022

Mechanomimetic 3D Scaffolds as a Humanized In Vitro Model for Ovarian Cancer.

Francesca Paradiso, Stefania Lenna, S Andrea Gazze, Jezabel Garcia Parra, Kate Murphy, Lavinia Margarit, Deyarina Gonzalez, Lewis Francis, Francesca Taraballi

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Bioelectricity in dental medicine: a narrative review.Biomedical engineering online · 2024
    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

9 authors at 3 institutions in 2 countries.

Francesca ParadisoCenter for Musculoskeletal Regeneration, Houston Methodist Academic Institute, Houston Methodist Research Institute, 6670 Bertner Ave., Houston, TX 77030, USA.ORCID 0000-0001-6926-1119
Stefania LennaCenter for Musculoskeletal Regeneration, Houston Methodist Academic Institute, Houston Methodist Research Institute, 6670 Bertner Ave., Houston, TX 77030, USA.
S Andrea GazzeReproductive Biology and Gynaecological Oncology Group, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.
Jezabel Garcia ParraReproductive Biology and Gynaecological Oncology Group, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.
Kate MurphyDepartment of Pathology, Singleton Hospital, Swansea Bay University Health Board, Swansea SA2 8QA, UK.ORCID 0000-0003-2870-3018
Lavinia MargaritReproductive Biology and Gynaecological Oncology Group, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.
Deyarina GonzalezReproductive Biology and Gynaecological Oncology Group, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.ORCID 0000-0002-1838-6752
Lewis FrancisReproductive Biology and Gynaecological Oncology Group, Swansea University Medical School, Singleton Park, Swansea SA2 8PP, UK.
Francesca TaraballiCenter for Musculoskeletal Regeneration, Houston Methodist Academic Institute, Houston Methodist Research Institute, 6670 Bertner Ave., Houston, TX 77030, USA.ORCID 0000-0002-4959-1169
Swansea University · GBHouston Methodist · USSwansea Bay University Health Board · GB

Funding

Medical Research Council MC_PC_19053
6 · The paper itself

Abstract

The mechanical homeostasis of tissues can be altered in response to trauma or disease, such as cancer, resulting in altered mechanotransduction pathways that have been shown to impact tumor development, progression, and the efficacy of therapeutic approaches. Specifically, ovarian cancer progression is parallel to an increase in tissue stiffness and fibrosis. With in vivo models proving difficult to study, tying tissue mechanics to altered cellular and molecular properties necessitate advanced, tunable, in vitro 3D models able to mimic normal and tumor mechanic features. First, we characterized normal human ovary and high-grade serous (HGSC) ovarian cancer tissue stiffness to precisely mimic their mechanical features on collagen I-based sponge scaffolds, soft (NS) and stiff (MS), respectively. We utilized three ovarian cancer cell lines (OVCAR-3, Caov-3, and SKOV3) to evaluate changes in viability, morphology, proliferation, and sensitivity to doxorubicin and liposomal doxorubicin treatment in response to a mechanically different microenvironment. High substrate stiffness promoted the proliferation of Caov-3 and SKOV3 cells without changing their morphology, and upregulated mechanosensors YAP/TAZ only in SKOV3 cells. After 7 days in culture, both OVCAR3 and SKOV3 decreased the MS scaffold storage modulus (stiffness), suggesting a link between cell proliferation and the softening of the matrix. Finally, high matrix stiffness resulted in higher OVCAR-3 and SKOV3 cell cytotoxicity in response to doxorubicin. This study demonstrates the promise of biomimetic porous scaffolds for effective inclusion of mechanical parameters in 3D cancer modeling. Furthermore, this work establishes the use of porous scaffolds for studying ovarian cancer cells response to mechanical changes in the microenvironment and as a meaningful platform from which to investigate chemoresistance and drug response.

Indexed as

ApoptosisOvarian NeoplasmsCell Line, TumorDoxorubicinExtracellular MatrixFemaleHumansMechanotransduction, CellularTumor MicroenvironmentDoxorubicin3D modelcancercollagendoxorubicinextracellular matrixmatrix stiffnessmicroenvironmentnanoparticles

Identifiers

PMID35269446
PMCPMC8909508
OpenAlexW4214664803

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.