ArticlePloS one2014
Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Agent-Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The depth of tumor hierarchy and its impact on hypertumor susceptibility.Scientific reports · 2025Article
- Article
- The clinical value of nutritional and inflammatory indicators in predicting pneumonia among patients with intracerebral hemorrhage.Scientific reports · 2024Article
- Predictive value of inflammatory prognostic index for contrast-induced nephropathy in patients undergoing coronary angiography and/or percutaneous coronary intervention.Scientific reports · 2024Article
- Ascites-derived hsa-miR-181a-5p serves as a prognostic marker for gastric cancer-associated malignant ascites.BMC genomics · 2024Article
- Cancer associated fibroblasts serve as an ovarian cancer stem cell niche through noncanonical Wnt5a signaling.NPJ precision oncology · 2024Article
- Article
- Statistical inference of the rates of cell proliferation and phenotypic switching in cancer.Journal of theoretical biology · 2023Article
- Unified tumor growth mechanisms from multimodel inference and dataset integration.PLoS computational biology · 2023Article
- The Glioblastoma Landscape: Hallmarks of Disease, Therapeutic Resistance, and Treatment Opportunities.Medical research archives · 2023Article
- Hox genes are crucial regulators of periosteal stem cell identity.Development (Cambridge, England) · 2023Article
- Targeting Breast Cancer Stem Cells.International journal of biological sciences · 2023Review
- Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms.Theory in biosciences = Theorie in den Biowissenschaften · 2022Article
- Immune evasion by cancer stem cells.Regenerative therapy · 2021Review
- Clinical and Biological Implications of Cancer Stem Cells in Hepatocellular Carcinoma.Yonago acta medica · 2021Review
- Mathematical Modeling of Plasticity and Heterogeneity in EMT.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Stemness regulation of the adrenal mixed corticomedullary tumorigenesis-a case-control study.Neoplasia (New York, N.Y.) · 2020Article
- Cancer stem-like cells with hybrid epithelial/mesenchymal phenotype leading the collective invasion.Cancer science · 2020Article
- Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.Current opinion in systems biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumors are often heterogeneous in which tumor cells of different phenotypes have distinct properties. For scientific and clinical interests, it is of fundamental importance to understand their properties and the dynamic variations among different phenotypes, specifically under radio- and/or chemo-therapy. Currently there are two controversial models describing tumor heterogeneity, the cancer stem cell (CSC) model and the stochastic model. To clarify the controversy, we measured probabilities of different division types and transitions of cells via in situ immunofluorescence. Based on the experiment data, we constructed a model that combines the CSC with the stochastic concepts, showing the existence of both distinctive CSC subpopulations and the stochastic transitions from NSCCs to CSCs. The results showed that the dynamic variations between CSCs and non-stem cancer cells (NSCCs) can be simulated with the model. Further studies also showed that the model can be used to describe the dynamics of the two subpopulations after radiation treatment. More importantly, analysis demonstrated that the experimental detectable equilibrium CSC proportion can be achieved only when the stochastic transitions from NSCCs to CSCs occur, indicating that tumor heterogeneity may exist in a model coordinating with both the CSC and the stochastic concepts. The mathematic model based on experimental parameters may contribute to a better understanding of the tumor heterogeneity, and provide references on the dynamics of CSC subpopulation during radiotherapy.
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.