ArticleOncotarget2015
Automated tracking of tumor-stroma morphology in microtissues identifies functional targets within the tumor microenvironment for therapeutic intervention.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 40 citations in OpenAlex.
- Genipin-Crosslinked, Silane-Anchored 3D Tumor-Stroma Microtissues for High-Content On-Chip Drug Testing.Advanced healthcare materials · 2026Article
- Surface Modification of Mesoporous Silica Nanoparticles as a Means to Introduce Inherent Cancer-Targeting Ability in a 3D Tumor Microenvironment.Small science · 2024Article
- Targeting the cancer cells and cancer-associated fibroblasts with next-generation FGFR inhibitors in prostate cancer co-culture models.Cancer medicine · 2024Article
- Depth-enhanced high-throughput microscopy by compact PSF engineering.Nature communications · 2024Article
- Article
- Evaluation of the anticancer activity of RIN-1, a Notch signaling modulator, in head and neck squamous cell carcinoma.Scientific reports · 2023Article
- Urological cancer organoids, patients' avatars for precision medicine: past, present and future.Cell & bioscience · 2022Review
- Spatiotemporal Tracking of Different Cell Populations in Cancer Organoid Models for Investigations on Photodynamic Therapy.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Phenotypic screening system using three-dimensional (3D) culture models for natural product screening.The Journal of antibiotics · 2021Review
- 3D Modeling of Epithelial Tumors-The Synergy between Materials Engineering, 3D Bioprinting, High-Content Imaging, and Nanotechnology.International journal of molecular sciences · 2021Review
- Consistent Inclusion of Mesenchymal Stem Cells into In Vitro Tumor Models.Methods in molecular biology (Clifton, N.J.) · 2021Review
- In Vitro Modeling of the Tumor Microenvironment in Tumor Organoids.Tissue engineering and regenerative medicine · 2020Review
- Radiation-induced bystander and abscopal effects: important lessons from preclinical models.British journal of cancer · 2020Review
- OrgDyn: feature- and model-based characterization of spatial and temporal organoid dynamics.Bioinformatics (Oxford, England) · 2020Article
- Alterations in the methylome of the stromal tumour microenvironment signal the presence and severity of prostate cancer.Clinical epigenetics · 2020Article
- The Multifaceted Roles of MSCs in the Tumor Microenvironment: Interactions With Immune Cells and Exploitation for Therapy.Frontiers in cell and developmental biology · 2020Review
- Prostate Stroma Increases the Viability and Maintains the Branching Phenotype of Human Prostate Organoids.iScience · 2019Article
- Patient-derived Models Reveal Impact of the Tumor Microenvironment on Therapeutic Response.European urology oncology · 2018Article
- Comprehensive high-throughput image analysis for therapeutic efficacy of architecturally complex heterotypic organoids.Scientific reports · 2017Article
- A high-content image analysis approach for quantitative measurements of chemosensitivity in patient-derived tumor microtissues.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer-associated fibroblasts (CAFs) constitute an important part of the tumor microenvironment and promote invasion via paracrine functions and physical impact on the tumor. Although the importance of including CAFs into three-dimensional (3D) cell cultures has been acknowledged, computational support for quantitative live-cell measurements of complex cell cultures has been lacking. Here, we have developed a novel automated pipeline to model tumor-stroma interplay, track motility and quantify morphological changes of 3D co-cultures, in real-time live-cell settings. The platform consists of microtissues from prostate cancer cells, combined with CAFs in extracellular matrix that allows biochemical perturbation. Tracking of fibroblast dynamics revealed that CAFs guided the way for tumor cells to invade and increased the growth and invasiveness of tumor organoids. We utilized the platform to determine the efficacy of inhibitors in prostate cancer and the associated tumor microenvironment as a functional unit. Interestingly, certain inhibitors selectively disrupted tumor-CAF interactions, e.g. focal adhesion kinase (FAK) inhibitors specifically blocked tumor growth and invasion concurrently with fibroblast spreading and motility. This complex phenotype was not detected in other standard in vitro models. These results highlight the advantage of our approach, which recapitulates tumor histology and can significantly improve cancer target validation in vitro.
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.