ArticlePloS one2014
Tumour control probability in cancer stem cells hypothesis.
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 9 papers.
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Who cites it
9 citing papers in PubMed.
- Concerns Regarding the Efficacy of Utilizing the Vibrational Response of Aminocyanine Molecules to Near Infrared Light for Cancer Cell Destruction.Journal of biomedical physics & engineering · 2026Article
- Generality Assessment of a Model Considering Heterogeneous Cancer Cells for Predicting Tumor Control Probability for Stereotactic Body Radiation Therapy Against Non-Small Cell Lung Cancer.Advances in radiation oncology · 2024Article
- Tumor radioresistance caused by radiation-induced changes of stem-like cell content and sub-lethal damage repair capability.Scientific reports · 2022Article
- Small subset of Wnt-activated cells is an initiator of regrowth in colorectal cancer organoids after irradiation.Cancer science · 2020Article
- Inferring Tumor Proliferative Organization from Phylogenetic Tree Measures in a Computational Model.Systematic biology · 2020Article
- Role of the Interplay Between the Internal and External Conditions in Invasive Behavior of Tumors.Scientific reports · 2018Article
- Cell dynamics in tumour environment after treatments.Journal of the Royal Society, Interface · 2017Article
- Phenotypic heterogeneity in modeling cancer evolution.PloS one · 2017Article
- Notch-Jagged signalling can give rise to clusters of cells exhibiting a hybrid epithelial/mesenchymal phenotype.Journal of the Royal Society, Interface · 2016Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The tumour control probability (TCP) is a formalism derived to compare various treatment regimens of radiation therapy, defined as the probability that given a prescribed dose of radiation, a tumour has been eradicated or controlled. In the traditional view of cancer, all cells share the ability to divide without limit and thus have the potential to generate a malignant tumour. However, an emerging notion is that only a sub-population of cells, the so-called cancer stem cells (CSCs), are responsible for the initiation and maintenance of the tumour. A key implication of the CSC hypothesis is that these cells must be eradicated to achieve cures, thus we define TCPS as the probability of eradicating CSCs for a given dose of radiation. A cell surface protein expression profile, such as CD44high/CD24low for breast cancer or CD133 for glioma, is often used as a biomarker to monitor CSCs enrichment. However, it is increasingly recognized that not all cells bearing this expression profile are necessarily CSCs, and in particular early generations of progenitor cells may share the same phenotype. Thus, due to the lack of a perfect biomarker for CSCs, we also define a novel measurable TCPCD+, that is the probability of eliminating or controlling biomarker positive cells. Based on these definitions, we use stochastic methods and numerical simulations parameterized for the case of gliomas, to compare the theoretical TCPS and the measurable TCPCD+. We also use the measurable TCP to compare the effect of various radiation protocols.
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