ArticlePLoS computational biology2015
Evolution and phenotypic selection of cancer stem cells.
Article in PLoS computational biology, 2015. 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
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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
36 citing papers in PubMed, 84 citations in OpenAlex.
- Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties.NPJ systems biology and applications · 2024Article
- Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023Article
- A circuit for secretion-coupled cellular autonomy in multicellular eukaryotic cells.Molecular systems biology · 2023Article
- Cancer Stem Cells and Cell Cycle Genes as Independent Predictors of Relapse in Non-small Cell Lung Cancer: Secondary Analysis of a Prospective Study.Stem cells translational medicine · 2022Article
- Molecular mechanism of therapeutic approaches for human gastric cancer stem cells.World journal of stem cells · 2022Review
- Cancer Stem Cells in Tumor Modeling: Challenges and Future Directions.Advanced nanobiomed research · 2021Article
- A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer.Bulletin of mathematical biology · 2021Article
- Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy.PLoS computational biology · 2021Article
- Inferring Tumor Proliferative Organization from Phylogenetic Tree Measures in a Computational Model.Systematic biology · 2020Article
- Cancer Stem Cells and Epithelial-to-Mesenchymal Transition in Cancer Metastasis.Cold Spring Harbor perspectives in medicine · 2020Review
- Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.Frontiers in bioengineering and biotechnology · 2020Article
- Article
- Tuning Cancer Fate: Tumor Microenvironment's Role in Cancer Stem Cell Quiescence and Reawakening.Frontiers in immunology · 2020Review
- Telomere Maintenance-Associated PML Is a Potential Specific Therapeutic Target of Human Colorectal Cancer.Translational oncology · 2019Article
- Systems Biology of Cancer Metastasis.Cell systems · 2019Review
- Chronic iron exposure and c-Myc/H-ras-mediated transformation in fallopian tube cells alter the expression of EVI1, amplified at 3q26.2 in ovarian cancer.Oncogenesis · 2019Article
- Morphophenotypic classification of tumor organoids as an indicator of drug exposure and penetration potential.PLoS computational biology · 2019Article
- Cancer Stem Cells in Head and Neck Squamous Cell Carcinoma: Identification, Characterization and Clinical Implications.Cancers · 2019Review
- The impact of proliferation-migration tradeoffs on phenotypic evolution in cancer.Scientific reports · 2019Article
- A Review of Cell-Based Computational Modeling in Cancer Biology.JCO clinical cancer informatics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Cells of different organs at different ages have an intrinsic set of kinetics that dictates their behavior. Transformation into cancer cells will inherit these kinetics that determine initial cell and tumor population progression dynamics. Subject to genetic mutation and epigenetic alterations, cancer cell kinetics can change, and favorable alterations that increase cellular fitness will manifest themselves and accelerate tumor progression. We set out to investigate the emerging intratumoral heterogeneity and to determine the evolutionary trajectories of the combination of cell-intrinsic kinetics that yield aggressive tumor growth. We develop a cellular automaton model that tracks the temporal evolution of the malignant subpopulation of so-called cancer stem cells(CSC), as these cells are exclusively able to initiate and sustain tumors. We explore orthogonal cell traits, including cell migration to facilitate invasion, spontaneous cell death due to genetic drift after accumulation of irreversible deleterious mutations, symmetric cancer stem cell division that increases the cancer stem cell pool, and telomere length and erosion as a mitotic counter for inherited non-stem cancer cell proliferation potential. Our study suggests that cell proliferation potential is the strongest modulator of tumor growth. Early increase in proliferation potential yields larger populations of non-stem cancer cells(CC) that compete with CSC and thus inhibit CSC division while a reduction in proliferation potential loosens such inhibition and facilitates frequent CSC division. The sub-population of cancer stem cells in itself becomes highly heterogeneous dictating population level dynamics that vary from long-term dormancy to aggressive progression. Our study suggests that the clonal diversity that is captured in single tumor biopsy samples represents only a small proportion of the total number of phenotypes.
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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.