ArticleScientific reports2018
Tumour cell invasiveness and response to chemotherapeutics in adipocyte invested 3D engineered anisotropic collagen scaffolds.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Engineering anisotropic tissues: from structured scaffolds to magnetic actuation.Materials today. Bio · 2026Review
- Obesity, Inflammation, and Tumor Microenvironment in Three-Dimensional Models of Breast Cancer.Cells · 2026Review
- Generation of Individualized, Standardized, and Electrically Synchronized Human Midbrain Organoids.Cells · 2025Article
- The importance of 3D fibre architecture in cancer and implications for biomaterial model design.Nature reviews. Cancer · 2024Review
- Abrogating Metastatic Properties of Triple-Negative Breast Cancer Cells by EGFR and PI3K Dual Inhibitors.Cancers · 2023Article
- Review
- Tumor microenvironment: barrier or opportunity towards effective cancer therapy.Journal of biomedical science · 2022Review
- Article
- Aberrant RET expression affects normal mammary gland post-lactation transition, enhancing cancer potential.Disease models & mechanisms · 2022Article
- 3D Cell Culture Systems: Tumor Application, Advantages, and Disadvantages.International journal of molecular sciences · 2021Review
- Patient-derived scaffolds as a drug-testing platform for endocrine therapies in breast cancer.Scientific reports · 2021Article
- Advancement of Scaffold-Based 3D Cellular Models in Cancer Tissue Engineering: An Update.Frontiers in oncology · 2021Review
- Mammary Organoids and 3D Cell Cultures: Old Dogs with New Tricks.Journal of mammary gland biology and neoplasia · 2020Review
- Generation of a three-dimensional collagen scaffold-based model of the human endometrium.Interface focus · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Breast cancers are highly heterogeneous and their metastatic potential and response to therapeutic drugs is difficult to predict. A tool that could accurately gauge tumour invasiveness and drug response would provide a valuable addition to the oncologist's arsenal. We have developed a 3-dimensional (3D) culture model that recapitulates the stromal environment of breast cancers by generating anisotropic (directional) collagen scaffolds seeded with adipocytes and culturing tumour fragments therein. Analysis of tumour cell invasion in the presence of various therapeutic drugs, by immunofluorescence microscopy coupled with an optical clearing technique, demonstrated the utility of this approach in determining both the rate and capacity of tumour cells to migrate through the stroma while shedding light also on the mode of migration. Furthermore, the response of different murine mammary tumour types to chemotherapeutic drugs could be readily quantified.
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.