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• W2994345676 abstract "Intratumoral heterogeneity (ITH) has been regarded as a key cause of the failure and resistance of cancer therapy, but how it behaves and functions remains unclear. Advances in single-cell analysis have facilitated the collection of a massive amount of data about genetic and molecular states of individual cancer cells, providing a fuel to dissect the mechanistic organization of ITH at the molecular, metabolic and positional level. Taking advantage of these data, we propose a computational model to rewire up a topological network of cell-cell interdependences and interactions that operate within a tumor mass. The model is grounded on the premise of game theory that each interactive cell (player) strives to maximize its fitness by pursuing a rational self-interest strategy, war or peace, in a way that senses and alters other cells to respond properly. By integrating this idea with genome-wide association studies for intratumoral cells, the model is equipped with a capacity to visualize, annotate and quantify how somatic mutations mediate ITH and the network of intratumoral interactions. Taken together, the model provides a topological flow by which cancer cells within a tumor cooperate or compete with each other to downstream pathogenesis. This topological flow can be potentially used as a blueprint for genetically intervening the pattern and strength of cell-cell interactions towards cancer control." @default.
• W2994345676 created "2019-12-13" @default.
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• W2994345676 date "2020-01-01" @default.
• W2994345676 modified "2023-10-14" @default.
• W2994345676 title "A rewiring model of intratumoral interaction networks" @default.
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• W2994345676 doi "https://doi.org/10.1016/j.csbj.2019.11.009" @default.
• W2994345676 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6923293" @default.
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