Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Cancer: A Turbulence Problem

Version 1 : Received: 13 February 2019 / Approved: 14 February 2019 / Online: 14 February 2019 (14:04:51 CET)

A peer-reviewed article of this Preprint also exists.

Uthamacumaran, A. Cancer: A Turbulence Problem. Neoplasia 2020, 22, 759–769, doi:10.1016/j.neo.2020.09.008. Uthamacumaran, A. Cancer: A Turbulence Problem. Neoplasia 2020, 22, 759–769, doi:10.1016/j.neo.2020.09.008.

Abstract

Cancers are complex, adaptive ecosystems. They remain the leading cause of disease-related death among children in North America. As we approach computational oncology and Deep Learning Healthcare, our mathematical models of cancer dynamics must be revised. Recent findings support the perspective that cancer-microenvironment interactions consist of turbulent flows. As such, cancer pattern formation, protein-folding and metastatic invasion are discussed herein as processes driven by chemical turbulence within the framework of complex systems theory. Current state-of-the-art quantitative approaches used in reconstructing cancer stem cell networks are reviewed. To conclude, cancer stem cells are presented as strange attractors of the Waddington landscape.

Keywords

Cancer; Turbulence; Navier-Stokes; Chaos; Complexity; Fractals; Fluid Dynamics; Reprogramming

Subject

Medicine and Pharmacology, Oncology and Oncogenics

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