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Cell Adaptive Fitness and Cancer Evolutionary Dynamics.

Authors :
Derbal, Youcef
Source :
Cancer Informatics. 2/23/2023, p1-9. 9p.
Publication Year :
2023

Abstract

Genome instability of cancer cells translates into increased entropy and lower information processing capacity, leading to metabolic reprograming toward higher energy states, presumed to be aligned with a cancer growth imperative. Dubbed as the cell adaptive fitness, the proposition postulates that the coupling between cell signaling and metabolism constrains cancer evolutionary dynamics along trajectories privileged by the maintenance of metabolic sufficiency for survival. In particular, the conjecture postulates that clonal expansion becomes restricted when genetic alterations induce a sufficiently high level of disorder, that is, high entropy, in the regulatory signaling network, abrogating as a result the ability of cancer cells to successfully replicate, leading to a stage of clonal stagnation. The proposition is analyzed in the context of an in-silico model of tumor evolutionary dynamics to illustrate how cell-inherent adaptive fitness may predictably constrain clonal evolution of tumors, which would have significant implications for the design of adaptive cancer therapies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11769351
Database :
Academic Search Index
Journal :
Cancer Informatics
Publication Type :
Academic Journal
Accession number :
162090097
Full Text :
https://doi.org/10.1177/11769351231154679