ArticleBreast cancer research : BCR2018
Consistent and reproducible cultures of large-scale 3D mammary epithelial structures using an accessible bioprinting platform.
Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers.
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
45 citing papers in PubMed, 73 citations in OpenAlex.
- Human milk: insights on cell composition, organoids and emerging applications.Pediatric research · 2026Review
- Developing Mammary Gland Models for Biomedical Applications.Research (Washington, D.C.) · 2026Review
- 3D bioprinting innovations: a new frontier in breast cancer research.Medical oncology (Northwood, London, England) · 2025Review
- A Review on Bioengineering the Bovine Mammary Gland: The Role of the Extracellular Matrix and Reconstruction Prospects.Bioengineering (Basel, Switzerland) · 2025Review
- Intercellular mitochondrial transfer contributes to microenvironmental redirection of cancer cell fate.The FEBS journal · 2025Article
- Engineering the 3D structure of organoids.Stem cell reports · 2025Review
- Understanding the cellular dynamics, engineering perspectives and translation prospects in bioprinting epithelial tissues.Bioactive materials · 2025Review
- Modeling intratumor heterogeneity in breast cancer.Biofabrication · 2024Review
- Review
- Potential Use of Organoids in Regenerative Medicine.Tissue engineering and regenerative medicine · 2024Review
- Human breast tissue engineering in health and disease.EMBO molecular medicine · 2024Review
- Spatial Engineering of Mammary Epithelial Cell Cultures with 3D Bioprinting Reveals Growth Control by Branch Point Proximity.Journal of mammary gland biology and neoplasia · 2024Article
- Advancing Organoid Engineering for Tissue Regeneration and Biofunctional Reconstruction.Biomaterials research · 2024Review
- Flourishing tumor organoids: History, emerging technology, and application.Bioengineering & translational medicine · 2023Review
- Programming the Self-Organization of Endothelial Cells into Perfusable Microvasculature.Tissue engineering. Part A · 2023Article
- Primary human organoids models: Current progress and key milestones.Frontiers in bioengineering and biotechnology · 2023Review
- Combined 3D bioprinting and tissue-specific ECM system reveals the influence of brain matrix on stem cell differentiation.Frontiers in cell and developmental biology · 2023Article
- Recent advances in organoid engineering: A comprehensive review.Applied materials today · 2022Article
- Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling.Experimental biology and medicine (Maywood, N.J.) · 2022Review
- Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStandard three-dimensional (3D) in vitro culture techniques, such as those used for mammary epithelial cells, rely on random distribution of cells within hydrogels. Although these systems offer advantages over traditional 2D models, limitations persist owing to the lack of control over cellular placement within the hydrogel. This results in experimental inconsistencies and random organoid morphology. Robust, high-throughput experimentation requires greater standardization of 3D epithelial culture techniques.
methodsHere, we detail the use of a 3D bioprinting platform as an investigative tool to control the 3D formation of organoids through the "self-assembly" of human mammary epithelial cells. Experimental bioprinting procedures were optimized to enable the formation of controlled arrays of individual mammary organoids. We define the distance and cell number parameters necessary to print individual organoids that do not interact between print locations as well as those required to generate large contiguous organoids connected through multiple print locations.
resultsWe demonstrate that as few as 10 cells can be used to form 3D mammary structures in a single print and that prints up to 500 μm apart can fuse to form single large structures. Using these fusion parameters, we demonstrate that both linear and non-linear (contiguous circles) can be generated with sizes of 3 mm in length/diameter. We confirm that cells from individual prints interact to form structures with a contiguous lumen. Finally, we demonstrate that organoids can be printed into human collagen hydrogels, allowing for all-human 3D culture systems.
conclusionsOur platform is adaptable to different culturing protocols and is superior to traditional random 3D culture techniques in efficiency, reproducibility, and scalability. Importantly, owing to the low-cost accessibility and computer numerical control-driven platform of our 3D bioprinter, we have the ability to disseminate our experiments with absolute precision to interested laboratories.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.