ArticleCancer research2009
The role of transforming growth factor-beta-mediated tumor-stroma interactions in prostate cancer progression: an integrative approach.
Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
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Who cites it
36 citing papers in PubMed, 63 citations in OpenAlex.
- Modeling tumors as complex ecosystems.iScience · 2024Review
- Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024Article
- Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023Article
- Nanoparticle-mediated cancer cell therapy: basic science to clinical applications.Cancer metastasis reviews · 2023Review
- A QSP model of prostate cancer immunotherapy to identify effective combination therapies.Scientific reports · 2020Article
- Stromal reactivity differentially drives tumour cell evolution and prostate cancer progression.Nature ecology & evolution · 2020Article
- Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization.PLoS computational biology · 2020Article
- The Expression of Transforming Growth Factor Beta-1 and Interleukin-6 on Human Prostate: Prostate Hyperplasia and Prostate Cancer.Open access Macedonian journal of medical sciences · 2019Article
- Integrating Models to Quantify Environment-Mediated Drug Resistance.Cancer research · 2017Article
- Homeostasis Back and Forth: An Ecoevolutionary Perspective of Cancer.Cold Spring Harbor perspectives in medicine · 2017Review
- Predictive computational modeling to define effective treatment strategies for bone metastatic prostate cancer.Scientific reports · 2016Article
- Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill.PLoS computational biology · 2016Article
- Article
- Spatial and functional heterogeneities shape collective behavior of tumor-immune networks.PLoS computational biology · 2015Article
- Integrating new discoveries into the "vicious cycle" paradigm of prostate to bone metastases.Cancer metastasis reviews · 2014Review
- VDR activity is differentially affected by Hic-5 in prostate cancer and stromal cells.Molecular cancer research : MCR · 2014Article
- An integrated computational model of the bone microenvironment in bone-metastatic prostate cancer.Cancer research · 2014Article
- An integrative modeling framework reveals plasticity of TGF-β signaling.BMC systems biology · 2014Article
- Microenvironmental variables must influence intrinsic phenotypic parameters of cancer stem cells to affect tumourigenicity.PLoS computational biology · 2014Article
- Why model?Frontiers in physiology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
We have implemented a hybrid cellular automata model based on the structure of human prostate that recapitulates key interactions in nascent tumor foci between tumor cells and adjacent stroma. Model simulations show how stochastic interactions between tumor cells and stroma may lead to a structural suppression of tumor growth, modest proliferation, or unopposed tumor growth. The model incorporates key aspects of prostate tumor progression, including transforming growth factor-beta (TGF-beta), matrix-degrading enzyme activity, and stromal activation. It also examines the importance of TGF-beta during tumor progression and the role of stromal cell density in regulating tumor growth. The validity of one of the key predictions of the model about the effect of epithelial TGF-beta production on glandular stability was tested in vivo. These experimental results confirmed the ability of the model to generate testable biological predictions in addition to providing new avenues of experimental interest. This work underscores the need for more pathologically representative models to cooperatively drive computational and biological modeling, which together could eventually lead to more accurate diagnoses and treatments of prostate cancer.
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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.