ArticleCancer research2011
Evolution of tumor invasiveness: the adaptive tumor microenvironment landscape model.
Article in Cancer research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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
24 citing papers in PubMed, 39 citations in OpenAlex.
- GDI2 protein: research progress and its mechanisms in diseases.Frontiers in cell and developmental biology · 2026Review
- Analyze the Diversity and Function of Immune Cells in the Tumor Microenvironment From the Perspective of Single-Cell RNA Sequencing.Cancer medicine · 2025Review
- Advances in single-cell sequencing technology in the field of hepatocellular carcinoma.Frontiers in genetics · 2022Review
- The somatic molecular evolution of cancer: Mutation, selection, and epistasis.Progress in biophysics and molecular biology · 2021Article
- Single-cell RNA sequencing in cancer research.Journal of experimental & clinical cancer research : CR · 2021Review
- Metastasis and the evolution of dispersal.Proceedings. Biological sciences · 2019Article
- Review
- Effects of motion in structured populations.Journal of the Royal Society, Interface · 2017Article
- A population genetics perspective on the determinants of intra-tumor heterogeneity.Biochimica et biophysica acta. Reviews on cancer · 2017Review
- Cancer: A disease at the crossroads of trade-offs.Evolutionary applications · 2017Article
- Tumor-associated macrophages promote tumor cell proliferation in nasopharyngeal NK/T-cell lymphoma.International journal of clinical and experimental pathology · 2014Article
- Mathematical models for translational and clinical oncology.Journal of clinical bioinformatics · 2013Article
- Cariporide and other new and powerful NHE1 inhibitors as potentially selective anticancer drugs--an integral molecular/biochemical/metabolic/clinical approach after one hundred years of cancer research.Journal of translational medicine · 2013Review
- The evolution of the cancer niche during multistage carcinogenesis.Nature reviews. Cancer · 2013Review
- Decreased expression and prognostic role of mitogen-activated protein kinase phosphatase 4 in hepatocellular carcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2013Article
- From forest and agro-ecosystems to the microecosystems of the human body: what can landscape ecology tell us about tumor growth, metastasis, and treatment options?Evolutionary applications · 2013Article
- Impact of diffusion barriers to small cytotoxic molecules on the efficacy of immunotherapy in breast cancer.PloS one · 2013Article
- Applying ecological and evolutionary theory to cancer: a long and winding road.Evolutionary applications · 2013Article
- Bioinformatics for cancer immunology and immunotherapy.Cancer immunology, immunotherapy : CII · 2012Review
- How many molecular subtypes? Implications of the unique tumor principle in personalized medicine.Expert review of molecular diagnostics · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Interactions between cancer cells and their microenvironment are crucial for promoting tumor growth and invasiveness. In the tumor adaptive landscape model, hypoxic and acidic microenvironmental conditions reduce the fitness of cancer cells and significantly restrict their proliferation. This selects for enhanced motility as cancer cells may evolve an invasive phenotype if the consequent cell movement is rewarded by proliferation. Here, we used an integrative approach combining a mathematical tumor adaptive landscape model with experimental studies to examine the evolutionary dynamics that promote an invasive cancer phenotype. Computer simulation results hypothesized an explicit coupling of motility and proliferation in cancer cells. The mathematical modeling results were also experimentally examined by selecting Panc-1 cells with enhanced motility on a fibroblast-derived 3-dimensional matrix for cells that move away from the unfavorable metabolic constraints. After multiple rounds of selection, the cells that adapted through increased motility were characterized for their phenotypic properties compared with stationary cells. Microarray and gene depletion studies showed the role of Rho-GDI2 in regulating both cell movement and proliferation. Together, this work illustrates the partnership between evolutionary mathematical modeling and experimental validation as a potentially useful approach to study the complex dynamics of the tumor microenvironment.
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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.