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Stochastic theory of oncogenesis.

Authors: Boxma, O.J.; Kinderen, der, D.J.; Koten, J.W.; Otter, den, W.;

Stochastic theory of oncogenesis.

Abstract

It is generally agreed that most malignancies, particularly those that arise "spontaneously", are caused by randomly occurring mutations at specific sites of the genome. Hence oncogenesis of these spontaneous tumors can be described by stochastic mathematical models. In this paper we offer a mathematical approach to oncogenesis. A stochastic model was developed to calculate the number of mutations required for malignant transformation. This model demonstrates that the two hit model, as originally proposed by Knudson for retinoblastoma in children, is not tenable for tumors in adults. Our results show that malignant transformation is more likely to be due to a specific set of four mutations. This stochastic model is compatible with most current views on oncogenesis and most phenomena in oncology.

Country
Netherlands
Related Organizations
Keywords

Stochastic Processes, Cell Transformation, Neoplastic, Suppression, Genetic, Neoplasms, Mutation, Statistics as Topic, Humans, Oncogenes, Models, Biological

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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