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• W4200391100 abstract "These days many leading scientists argue for a new paradigm for cancer research and propose a complex systems-view of cancer supported by empirical evidence. As an example, Thea Newman (2021) has applied the lessons learned from physical systems to a critique of reductionism in medical research, with an emphasis on cancer. It is the understanding of this author that the mesoscale constructs that combine the bottom-up as well as top-down approaches, are very close to the concept of emergence. The mesoscale constructs can be said to be those effective components through which the system allows itself to be understood. A short list of basic concepts related to life/biology fundamentals are first introduced to demonstrate a lack of emphasis on these matters in literature. It is imperative that physical and chemical approaches are introduced and incorporated in biology to make it more conceptually sound, quantitative, and based on the first principles. Non-equilibrium thermodynamics is the only tool currently available for making progress in this direction. A brief outline of systems biology, the discovery of emergent properties, and metabolic modeling are introduced in the second part. Then, different cancer initiation concepts are reviewed, followed by application of non-equilibrium thermodynamics in the metabolic and genomic analysis of initiation and development of cancer, stressing the endogenous network hypothesis (ENH). Finally, extension of the ENH is suggested to include a cancer niche (exogenous network hypothesis). It is expected that this will lead to a unifying systems-biology approach for a future combination of the analytical and synthetic arms of two major hypotheses of cancer models (SMT and TOFT)." @default.
• W4200391100 created "2021-12-31" @default.
• W4200391100 creator A5011548622 @default.
• W4200391100 date "2021-12-23" @default.
• W4200391100 modified "2023-10-12" @default.
• W4200391100 title "Towards the First Principles in Biology and Cancer: New Vistas in Computational Systems Biology of Cancer" @default.
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• W4200391100 doi "https://doi.org/10.3390/life12010021" @default.
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