ReviewActa biomaterialia2020
Breast cancer models: Engineering the tumor microenvironment.
Review in Acta biomaterialia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
107 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024).Frontiers in oncology · 2025Pooled it
- Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Identification and functional validation of lipid droplet-associated prognostic biomarkers in breast cancer via integrative multi-omics and machine learning approaches.International journal of clinical oncology · 2026Article
- dECM bioinks for 3D bioprinted tumor models: Advances, challenges, and drug screening.iScience · 2026Review
- Halogenated anthraquinones in breast cancer therapy: Structural modifications targeting VEGF-related angiogenesis pathways.Journal of pharmaceutical analysis · 2026Review
- 3D Bioprinting for Tumor Microenvironment Reconstruction: Advances, Challenges, and Future Perspectives.Biotechnology journal · 2026Review
- Obesity, Inflammation, and Tumor Microenvironment in Three-Dimensional Models of Breast Cancer.Cells · 2026Review
- In Ovo CAM-Based Xenograft Model for Investigating Tumor Developmental Biology in Breast Cancer.Bio-protocol · 2026Article
- Breast Cancer Multicellular Spheroid Models-A Tool for Studying Cancer Biology; a Possible Platform for Drug Screening and Personalized Medicine.International journal of molecular sciences · 2026Review
- Article
- Harnessing Next-Generation 3D Cancer Models to Elucidate Tumor-Microbiome Crosstalk.Advanced healthcare materials · 2026Review
- Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology.Advanced healthcare materials · 2026Review
- 3D bioprinting innovations: a new frontier in breast cancer research.Medical oncology (Northwood, London, England) · 2025Review
- Construction of a 3D Bioprinted Microfluidic Platform to Study Breast Cancer Bone Metastasis and Tumor Microenvironmental Influences.ACS applied materials & interfaces · 2025Article
- 3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes.Advanced biology · 2025Review
- Dynamic Hydrogels in Breast Tumor Models.Gels (Basel, Switzerland) · 2025Review
- Scaffolds Mimicking the Tumor Microenvironment for In Vitro Malignancy Models.Biomimetics (Basel, Switzerland) · 2025Review
- Review
- Tumor Organoids Grown in Mixed-Composition Hydrogels Recapitulate the Plasticity of Pancreatic Cancers.Gels (Basel, Switzerland) · 2025Article
- Tumor-Associated Macrophage in Breast Tumor Microenvironment.International journal of molecular sciences · 2025Review
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The mechanisms behind cancer initiation and progression are not clear. Therefore, development of clinically relevant models to study cancer biology and drug response in tumors is essential. In vivo models are very valuable tools for studying cancer biology and for testing drugs; however, they often suffer from not accurately representing the clinical scenario because they lack either human cells or a functional immune system. On the other hand, two-dimensional (2D) in vitro models lack the three-dimensional (3D) network of cells and extracellular matrix (ECM) and thus do not represent the tumor microenvironment (TME). As an alternative approach, 3D models have started to gain more attention, as such models offer a platform with the ability to study cell-cell and cell-material interactions parametrically, and possibly include all the components present in the TME. Here, we first give an overview of the breast cancer TME, and then discuss the current state of the pre-clinical breast cancer models, with a focus on the engineered 3D tissue models. We also highlight two engineering approaches that we think are promising in constructing models representative of human tumors: 3D printing and microfluidics. In addition to giving basic information about the TME in the breast tissue, this review article presents the state-of-the-art tissue engineered breast cancer models. STATEMENT OF SIGNIFICANCE: Involvement of biomaterials and tissue engineering fields in cancer research enables realistic mimicry of the cell-cell and cell-extracellular matrix (ECM) interactions in the tumor microenvironment (TME), and thus creation of better models that reflect the tumor response against drugs. Engineering the 3D in vitro models also requires a good understanding of the TME. Here, an overview of the breast cancer TME is given, and the current state of the pre-clinical breast cancer models, with a focus on the engineered 3D tissue models is discussed. This review article is useful not only for biomaterials scientists aiming to engineer 3D in vitro TME models, but also for cancer researchers willing to use these models for studying cancer biology and drug testing.
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What Socratic holds
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 Socratic graph.