Branching Process Models of Cancer
This volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As a consequence, the authors calculate the probability that mutations that confer resistance to treatment are present at det...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Series: | Mathematical Biosciences Institute Lecture Series ;
1.1 |
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Multistage Theory of Cancer
- Mathematical Overview
- Branching Process Results
- Time for Z_0 to Reach Size M
- Time Until the First Type 1
- Mutation Before Detection?
- Accumulation of Neutral Mutations
- Properties of the Gamma Function
- Growth of Z_1(t)
- Movements of Z_1(t)
- Luria-Delbruck Distributions
- Number of Type 1's at Time T_M
- Gwoth of Z_k(t)
- Transitions Between Waves
- Time to the First Type \tau_k, k \ge 2
- Application: Metastasis
- Application: Ovarian Cancer
- Application: Intratumor Heterogeneity.