The linear process of somatic evolution
Author(s) -
Martin A. Nowak,
Franziska Michor,
Yoh Iwasa
Publication year - 2003
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2535419100
Subject(s) - multicellular organism , somatic cell , biology , evolutionary dynamics , phenotype , somatic evolution in cancer , process (computing) , cancer cell , cancer , mutation , function (biology) , evolutionary biology , genetics , cell , computer science , gene , medicine , environmental health , population , operating system
Cancer is the consequence of an unwanted evolutionary process. Cells receive mutations that alter their phenotype. Especially dangerous are those mutations that increase the net reproductive rate of cells, thereby leading to neoplasia and later to cancer. The standard models of evolutionary dynamics consider well mixed populations of individuals in symmetric positions. Here we introduce a spatially explicit, asymmetric stochastic process that captures the essential architecture of evolutionary dynamics operating within tissues of multicellular organisms. The "linear process" has the property of cancelling out selective differences among cells yet retaining the protective function of apoptosis. This design can slow down the rate of somatic evolution dramatically and therefore delay the onset of cancer.
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