ArticleCancer research2009
Microenvironmental independence associated with tumor progression.
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 32 papers.
What it found
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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.
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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
32 citing papers in PubMed.
- Fatty acid synthase (FASN) signalome: A molecular guide for precision oncology.Molecular oncology · 2024Article
- Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence.British journal of cancer · 2023Article
- Ecology and games in cancer: new insights into the disease.Pathologica · 2022Article
- Directionality of Macrophages Movement in Tumour Invasion: A Multiscale Moving-Boundary Approach.Bulletin of mathematical biology · 2020Article
- Can Environmental Manipulation Help Suppress Cancer? Non-Linear Competition Among Tumor Cells in Periodically Changing Conditions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Executable cancer models: successes and challenges.Nature reviews. Cancer · 2020Review
- Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.Current opinion in systems biology · 2019Article
- Morphophenotypic classification of tumor organoids as an indicator of drug exposure and penetration potential.PLoS computational biology · 2019Article
- Evolution of cooperation in an epithelium.Journal of the Royal Society, Interface · 2019Article
- Simulated ablation for detection of cells impacting paracrine signalling in histology analysis.Mathematical medicine and biology : a journal of the IMA · 2019Article
- Modeling treatment-dependent glioma growth including a dormant tumor cell subpopulation.BMC cancer · 2018Article
- Extinction rates in tumour public goods games.Journal of the Royal Society, Interface · 2017Article
- Altered TGF-α/β signaling drives cooperation between breast cancer cell populations.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2016Article
- Predictive computational modeling to define effective treatment strategies for bone metastatic prostate cancer.Scientific reports · 2016Article
- An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer.Breast cancer research : BCR · 2015Article
- Game theory in the death galaxy: interaction of cancer and stromal cells in tumour microenvironment.Interface focus · 2014Article
- Bridging population and tissue scale tumor dynamics: a new paradigm for understanding differences in tumor growth and metastatic disease.Cancer research · 2014Article
- Microenvironmental variables must influence intrinsic phenotypic parameters of cancer stem cells to affect tumourigenicity.PLoS computational biology · 2014Article
- Invadopodia in context.Cell adhesion & migration · 2014Review
- The impact of age on oncogenic potential: tumor-initiating cells and the brain microenvironment.Aging cell · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Tumor-microenvironment interactions are increasingly recognized to influence tumor progression. To understand the competitive dynamics of tumor cells in diverse microenvironments, we experimentally parameterized a hybrid discrete-continuum mathematical model with phenotypic trait data from a set of related mammary cell lines with normal, transformed, or tumorigenic properties. Surprisingly, in a resource-rich microenvironment, with few limitations on proliferation or migration, transformed (but not tumorigenic) cells were most successful and outcompeted other cell types in heterogeneous tumor simulations. Conversely, constrained microenvironments with limitations on space and/or growth factors gave a selective advantage to phenotypes derived from tumorigenic cell lines. Analysis of the relative performance of each phenotype in constrained versus unconstrained microenvironments revealed that, although all cell types grew more slowly in resource-constrained microenvironments, the most aggressive cells were least affected by microenvironmental constraints. A game theory model testing the relationship between microenvironment resource availability and competitive cellular dynamics supports the concept that microenvironmental independence is an advantageous cellular trait in resource-limited microenvironments.
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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.