Chaos, Cancer, the Cellular Operating System and the Prediction of Survival in Head and Neck Cancer

作者: Andrew S. Jones

DOI: 10.1016/B978-044452855-1/50007-6

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摘要: Abstract Over the years, a large number of molecules and genes have been studied whilst degree insight into fundamental biology cell oncogenesis has obtained, our knowledge how these are orchestrated functional living or carcinoma remain elusive. As yet “operating system” that underlies life is only slightly understood but term operating system applied to all in their interaction matrix. Biochemistry considered cellular control as “top-down” from gene phenotype each employing unique rigid pathways. In spite work on individual markers survival, loco-regional failure response treatment, none powerful pathological staging. Rather than vertically orientated pathways, there fluid interconnections. Identical phenotypes can arise different genotypes same genotype produce phenotypes. Evidently greatly more complex first envisaged. Understanding this presents many difficulties very numbers players interact omni-dimensionally. These interactions form matrix involving spreading through entire cell, other cells so, tissue. No information transfer occur isolation now it clear search for most important endeavour science. Our view that, terms physics, type with multiple possible pathways flow. The essentially non-linear significant stochastic elements. takes at present conjectural provisional concept chaotic. Such systems be modelled successfully using artificial intelligence computer programs given enough data, theoretically predict behaviour also gain operates. recent group, an neural network was data 1000 patients larynx seen institution compared standard regression analyses failure. Host, tumour treatment factors were studied. addition, tissue ongoing programme investigating role 30 within harvested array technology. substances assayed variety techniques so far p53, pRB mdm2 being by immunohistochemistry. So we demonstrated superior predicting survival based host, parameters laryngeal cancer.

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