ArticleAPL bioengineering2019
Tunable synthetic extracellular matrices to investigate breast cancer response to biophysical and biochemical cues.
Article in APL bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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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.
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Who cites it
24 citing papers in PubMed, 33 citations in OpenAlex.
- Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Synthetic Surrogates of Collagen-Rich Microenvironments: Integrating Modular Bioactive Fibrillar Structure and Tunable Viscoelasticity via Multifunctional Assembling Peptides.ACS central science · 2026Article
- Adaptive PEG Bis-dendron Hydrogels with Tunable Mechanics and Bioactivity.Chemistry of materials : a publication of the American Chemical Society · 2026Article
- The Intersecting Physical Mechanisms That Regulate Cell Viability in 3D Synthetic Hydrogels.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Mineralized Cryogel/Hydrogel Constructs to Recapitulate Early Breast Cancer Bone Metastasis In Vitro.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Harnessing Next-Generation 3D Cancer Models to Elucidate Tumor-Microbiome Crosstalk.Advanced healthcare materials · 2026Review
- Collagen fiber density observed in metastatic ovarian cancer promotes tumor cell adhesion.Acta biomaterialia · 2025Article
- Engineering approaches for understanding mechanical memory in cancer metastasis.APL bioengineering · 2024Review
- Programming temporal stiffness cues within extracellular matrix hydrogels for modelling cancer niches.Materials today. Bio · 2024Article
- Making In Vitro Tumor Models Whole Again.Advanced healthcare materials · 2023Review
- Precision Hydrogels for the Study of Cancer Cell Mechanobiology.Advanced healthcare materials · 2023Review
- Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling.In vitro models · 2023Review
- Dynamic bioinspired coculture model for probing ERScience advances · 2023Article
- A-type lamins involvement in transport and implications in cancer?Nucleus (Austin, Tex.) · 2022Review
- Delivery of Theranostic Nanoparticles to Various Cancers by Means of Integrin-Binding Peptides.International journal of molecular sciences · 2022Review
- Rational Design of Hydrogel Networks with Dynamic Mechanical Properties to Mimic Matrix Remodeling.Advanced healthcare materials · 2022Article
- Substrate stiffness directs the phenotype and polarization state of cord blood derived macrophages.Acta biomaterialia · 2021Article
- Synthetic Tuning of Domain Stoichiometry in Nanobody-Enzyme Megamolecules.Bioconjugate chemistry · 2021Article
- Engineered Collagen Matrices.Bioengineering (Basel, Switzerland) · 2020Review
- Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The extracellular matrix (ECM) is thought to play a critical role in the progression of breast cancer. In this work, we have designed a photopolymerizable, biomimetic synthetic matrix for the controlled, 3D culture of breast cancer cells and, in combination with imaging and bioinformatics tools, utilized this system to investigate the breast cancer cell response to different matrix cues. Specifically, hydrogel-based matrices of different densities and modified with receptor-binding peptides derived from ECM proteins [fibronectin/vitronectin (RGDS), collagen (GFOGER), and laminin (IKVAV)] were synthesized to mimic key aspects of the ECM of different soft tissue sites. To assess the breast cancer cell response, the morphology and growth of breast cancer cells (MDA-MB-231 and T47D) were monitored in three dimensions over time, and differences in their transcriptome were assayed using next generation sequencing. We observed increased growth in response to GFOGER and RGDS, whether individually or in combination with IKVAV, where binding of integrin β1 was key. Importantly, in matrices with GFOGER, increased growth was observed with increasing matrix density for MDA-MB-231s. Further, transcriptomic analyses revealed increased gene expression and enrichment of biological processes associated with cell-matrix interactions, proliferation, and motility in matrices rich in GFOGER relative to IKVAV. In sum, a new approach for investigating breast cancer cell-matrix interactions was established with insights into how microenvironments rich in collagen promote breast cancer growth, a hallmark of disease progression
Identifiers
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Registered trials
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.