A rewiring model of intratumoral interaction networks
| Autor: | Chandra P. Belani, Rongling Wu, Xin Liu, Libo Jiang, Mengmeng Sang, Shawn J. Rice, Claudia Gragnoli |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Computer science lcsh:Biotechnology Biophysics Cancer therapy Computational biology Review Article Biochemistry Computer Science Applications 03 medical and health sciences 0302 clinical medicine Intratumor heterogeneity Cancer control Structural Biology 030220 oncology & carcinogenesis lcsh:TP248.13-248.65 Cancer cell Genetics Cellular interactions Community ecology Game theory 030304 developmental biology Biotechnology |
| Zdroj: | Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 45-51 (2020) Computational and Structural Biotechnology Journal |
| ISSN: | 2001-0370 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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