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.
journal_name
Neoplasiajournal_title
Neoplasia (New York, N.Y.)authors
Uthamacumaran Adoi
10.1016/j.neo.2020.09.008subject
Has Abstractpub_date
2020-12-01 00:00:00pages
759-769issue
12eissn
1522-8002issn
1476-5586pii
S1476-5586(20)30154-8journal_volume
22pub_type
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