The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer
Open accessAbstract
Colorectal cancer is initiated in colonic crypts. A succession of genetic mutations or epigenetic changes can lead to homeostasis in the crypt being overcome, and subsequent unbounded growth. We consider the dynamics of a single colorectal crypt by using a compartmental approach [Tomlinson IPM, Bodmer WF (1995) Proc Natl Acad Sci USA 92: 11130–11134 ], which accounts for populations of stem cells, differentiated cells, and transit cells. That original model made the simplifying assumptions that each cell population divides synchronously, but we relax these assumptions by adopting an age-structured approach that models asynchronous cell division, and by using a continuum model. We discuss two mechanisms that could regulate the growth of cell numbers and maintain the equilibrium that is normally observed in the crypt. The first will always maintain an equilibrium for all parameter values, whereas the second can allow unbounded proliferation if the net per capita growth rates are large enough. Results show that an increase in cell renewal, which is equivalent to a failure of programmed cell death or of differentiation, can lead to the growth of cancers. The second model can be used to explain the long lag phases in tumor growth, during which new, higher equilibria are reached, before unlimited growth in cell numbers ensues.
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Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
A genetic model for colorectal tumorigenesis
Fearon, E. R., & Vogelstein, B. (1990) · Cell · doi:10.1016/0092-8674(90)90186-i · Cited by 12,132
Stem cells: attributes, cycles, spirals, pitfalls and uncertainties. Lessons for and from the crypt
Potten, C. S., & Loeffler, M. (1990) · Development · doi:10.1242/dev.110.4.1001 · Cited by 1,791
Mathematical Biology: I. An Introduction
(2002) · Interdisciplinary Applied Mathematics · doi:10.1007/b98868 · Cited by 1,763
Caught up in a Wnt storm: Wnt signaling in cancer
Giles, R. H., van Es, J. H., & Clevers, H. (2003) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/s0304-419x(03)00005-2 · Cited by 1,482
The role of chromosomal instability in tumor initiation
Nowak, M. A., Komarova, N. L., Sengupta, A., Jallepalli, P. V., Shih, I.-M., Vogelstein, B., & Lengauer, C. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202617399 · Cited by 523
Genomic instability — the engine of tumorigenesis?
Sieber, O. M., Heinimann, K., & Tomlinson, I. P. M. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1170 · Cited by 324
Cell migration and organization in the intestinal crypt using a lattice‐free model
Meineke, F. A., Potten, C. S., & Loeffler, M. (2001) · Cell Proliferation · doi:10.1046/j.0960-7722.2001.00216.x · Cited by 274
Preston, S. L., Wong, W., Chan, A. O., Poulsom, R., Jeffery, R. E., Goodlad, R. A., Mandir, N., Elia, G., Novelli, M. R., Bodmer, W. F., et al. (2003) · PubMed · Cited by 248
Self-citationTomlinson, I. P., & Bodmer, W. F. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.24.11130 · Cited by 185
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BELLOMO, N., LI, N. K., & MAINI, P. K. (2008) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202508002796 · Cited by 420
Self-citationA Differentiation Checkpoint Limits Hematopoietic Stem Cell Self-Renewal in Response to DNA Damage
Wang, J., Sun, Q., Morita, Y., Jiang, H., Groß, A., Lechel, A., Hildner, K., Guachalla, L. M., Gompf, A., Hartmann, D., et al. (2012) · Cell · doi:10.1016/j.cell.2012.01.040 · Cited by 343
Impact of deleterious passenger mutations on cancer progression
McFarland, C. D., Korolev, K. S., Kryukov, G. V., Sunyaev, S. R., & Mirny, L. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213968110 · Cited by 317
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Metadata
- Authors
- Johnston, M. D., Edwards, C. M., Bodmer, W. F., Maini, P. K., & Chapman, S. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-03-06
- Volume
- 104
- Issue
- 10
- Pages
- 4008-4013
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1964562290
- Cited by
- 279
- References
- 24
- FWCI
- 18.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Johnston, M. D., Edwards, C. M., Bodmer, W. F., Maini, P. K., & Chapman, S. J. (2007). Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0611179104
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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