TY - JOUR
T1 - Cancer initiation and progression
T2 - An unsimplifiable complexity
AU - Grizzi, Fabio
AU - Di Ieva, Antonio
AU - Russo, Carlo
AU - Frezza, Eldo E.
AU - Cobos, Everardo
AU - Muzzio, Pier Carlo
AU - Chiriva-Internati, Maurizio
PY - 2006/10/17
Y1 - 2006/10/17
N2 - Background: Cancer remains one of the most complex diseases affecting humans and, despite the impressive advances that have been made in molecular and cell biology, how cancer cells progress through carcinogenesis and acquire their metastatic ability is still widely debated. Conclusion: There is no doubt that human carcinogenesis is a dynamic process that depends on a large number of variables and is regulated at multiple spatial and temporal scales. Viewing cancer as a system that is dynamically complex in time and space will, however, probably reveal more about its underlying behavioural characteristics. It is encouraging that mathematicians, biologists and clinicians continue to contribute together towards a common quantitative understanding of cancer complexity. This way of thinking may further help to clarify concepts, interpret new and old experimental data, indicate alternative experiments and categorize the acquired knowledge on the basis of the similarities and/or shared behaviours of very different tumours.
AB - Background: Cancer remains one of the most complex diseases affecting humans and, despite the impressive advances that have been made in molecular and cell biology, how cancer cells progress through carcinogenesis and acquire their metastatic ability is still widely debated. Conclusion: There is no doubt that human carcinogenesis is a dynamic process that depends on a large number of variables and is regulated at multiple spatial and temporal scales. Viewing cancer as a system that is dynamically complex in time and space will, however, probably reveal more about its underlying behavioural characteristics. It is encouraging that mathematicians, biologists and clinicians continue to contribute together towards a common quantitative understanding of cancer complexity. This way of thinking may further help to clarify concepts, interpret new and old experimental data, indicate alternative experiments and categorize the acquired knowledge on the basis of the similarities and/or shared behaviours of very different tumours.
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U2 - 10.1186/1742-4682-3-37
DO - 10.1186/1742-4682-3-37
M3 - Article
C2 - 17044918
AN - SCOPUS:33750297653
VL - 3
JO - Theoretical Biology and Medical Modelling
JF - Theoretical Biology and Medical Modelling
SN - 1742-4682
M1 - 37
ER -