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Cancer: A turbulence problem.

Author(s): Uthamacumaran A

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....

Article GUID: 33142240
Title:Cancer: A turbulence problem.
Authors:Uthamacumaran A
Link:https://www.ncbi.nlm.nih.gov/pubmed/33142240
DOI:10.1016/j.neo.2020.09.008
Category:Neoplasia
PMID:33142240
Dept Affiliation: CONCORDIA
1 Concordia University, Montreal, QC, Canada. Electronic address: a_utham@live.concordia.ca.

Description:

Cancer: A turbulence problem.

Neoplasia. 2020 Oct 24; 22(12):759-769

Authors: Uthamacumaran A

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 may consist of chaotic gene expressions and turbulent protein flows during pattern formation. 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. To conclude, cancer stem cells are presented as strange attractors of the Waddington landscape.

PMID: 33142240 [PubMed - as supplied by publisher]