| Title | Mathematical models of cancer stem cells. | | Author(s) | Michor F | | Institution | Computational Biology Center, Memorial Sloan Kettering Cancer Center, 417 East 68th St, New York, NY 10065, USA. michorf@mskcc.org | | Source | J Clin Oncol 2008 Jun 10; 26(17):2854-61. | | MeSH | Antineoplastic Agents
Cell Differentiation
Cell Proliferation
Drug Resistance, Neoplasm
Gene Expression Regulation, Leukemic
Humans
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
Models, Biological
Mutation
Neoplastic Stem Cells
Patient Selection
Piperazines
Protein Kinase Inhibitors
Pyrimidines
Time Factors
| | Abstract | Human cancers are thought to be sustained in their growth by a pathologic counterpart of normal adult stem cells: cancer stem cells. This concept was first developed in human myeloid leukemias and is today being extended to solid tumors such as breast and brain cancers. A quantitative understanding of cancer stem cells requires a mathematical framework to describe the dynamics of cancer initiation and progression, the response to treatment, and the evolution of resistance. In this review, I use chronic myeloid leukemia as an example to discuss how mathematical and computational techniques have been used to gain insights into the biology of cancer stem cells. | | Language | eng | | Pub Type(s) | Journal Article
Review
| | PubMed ID | 18539964 |
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