Literature DB >> 10465661

Chaodynamic loss of complexity and self-similarity in cancer.

R Sedivy1.   

Abstract

'Omnis cellula a cellula': each cell descends from another cell--and most complex organ structures are built up of multiple cells at least. Even the underlying mechanisms of physiological as well as pathological processes reflect complexity in a pronounced manner. Loss of complexity, however, has been detected in aging and apparently also in the case of a number of diseases. This paper describes the loss of complexity in both carcinogenesis and the related growth pattern of cancer. After disruption of the cell's stability as a result of mutations, a decrease in the ability of the cell to induce a self-organized response is associated with the loss of control parameters at the cellular and molecular level. Complexity, understood as a principle of order, is altered in certain malignant tumors, as is indicated by a loss of the golden mean and by the disappearance of self-similarity. The lack of self-similarity could, therefore, be an ideal practical marker of malignancy in medical image analysis.

Entities:  

Mesh:

Year:  1999        PMID: 10465661     DOI: 10.1054/mehy.1997.0653

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  3 in total

1.  [What is the role of the chaos theory?].

Authors:  M A Caballero Martín; U Barcik; R Nieto Gómez; S Alvarez Montero
Journal:  Aten Primaria       Date:  2000-11-15       Impact factor: 1.137

2.  Nonlinear analysis of biomagnetic signals recorded from uterine myomas.

Authors:  Athanasia Kotini; Achilleas N Anastasiadis; Photios Anninos; Nikoleta Koutlaki; Panagiotis Anastasiadis
Journal:  Biomagn Res Technol       Date:  2006-03-30

Review 3.  GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.

Authors:  Hanne Leysen; Deborah Walter; Bregje Christiaenssen; Romi Vandoren; İrem Harputluoğlu; Nore Van Loon; Stuart Maudsley
Journal:  Int J Mol Sci       Date:  2021-12-13       Impact factor: 5.923

  3 in total

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