Cancer Progression as a Learning Process
| Autor: | Aseel Shomar, Omri Barak, Naama Brenner |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
Biological Physics (physics.bio-ph) Molecular Networks (q-bio.MN) FOS: Biological sciences FOS: Physical sciences Quantitative Biology - Molecular Networks Physics - Biological Physics Adaptation and Self-Organizing Systems (nlin.AO) Nonlinear Sciences - Adaptation and Self-Organizing Systems |
| Popis: | Drug resistance and metastasis - the major complications in cancer - both entail adaptation of cancer cells to stress, whether a drug or a lethal new environment. Intriguingly, these adaptive processes share similar features that cannot be explained by a pure Darwinian scheme, including dormancy, increased heterogeneity, and stress-induced plasticity. Here, we propose that learning theory offers a framework to explain these features and may shed light on these two intricate processes. In this framework, learning is performed at the single cell level, by stress-driven exploratory trial-and-error. Such a process is not contingent on pre-existing pathways but on a random search for a state that diminishes the stress. We review underlying mechanisms that may support this search, and show by using a learning model that such exploratory adaptation is feasible in a high dimensional system as the cell. At the population level, we view the tissue as a network of exploring agents that communicate and restrain cancer formation in health. In this view, disease results from the breakdown of homeostasis between cellular exploratory drive and tissue homeostasis. |
| Databáze: | OpenAIRE |
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