title: Complexity, dynamic cellular network, and tumorigenesis.
abstract: A holistic approach to tumorigenesis is proposed. The main element of the model is the existence of dynamic cellular network. This network comprises a molecular and an energetistic structure of a cell connected through the multidirectional flow of information. The interactions within dynamic cellular network are complex, stochastic, nonlinear, and also involve quantum effects. From this non-reductionist perspective, neither tumorigenesis can be limited to the genetic aspect, nor the initial event must be of molecular nature, nor mutations and epigenetic factors are mutually exclusive, nor a link between cause and effect can be established. Due to complexity, an unstable stationary state of dynamic cellular network rather than a group of unrelated genes determines the phenotype of normal and transformed cells. This implies relativity of tumor suppressor genes and oncogenes. A bifurcation point is defined as an unstable state of dynamic cellular network leading to the other phenotype-stationary state. In particular, the bifurcation point may be determined by a change of expression of a single gene. Then, the gene is called bifurcation point gene. The unstable stationary state facilitates the chaotic dynamics. This may result in a fractal dimension of both normal and tumor tissues. The co-existence of chaotic dynamics and complexity is the essence of cellular processes and shapes differentiation, morphogenesis, and tumorigenesis. In consequence, tumorigenesis is a complex, unpredictable process driven by the interplay between self-organisation and selection.
authors.affiliation: Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, USA.
authors.forename: P
authors.initials: P
authors.lastname: Waliszewski
mesh_terms: D000818:Animals; D002477:Cells / Q000473:pathology; D004195:Disease Models, Animal; D006801:Humans; D007257:Information Theory; D009369:Neoplasms / Q000209:etiology* / Q000378:metabolism / Q000473:pathology; D011789:Quantum Theory; D013269:Stochastic Processes