This paper summarises the five presentations at the First International Workshop on Systems Radiation Biology that were concerned with mechanistic models for carcinogenesis. The mathematical description of various hypotheses about the carcinogenic process, and its comparison with available data is an example of systems biology. It promises better understanding of effects at the whole body level based on properties of cells and signalling mechanisms between them. Of these five presentations, three dealt with multistage carcinogenesis within the framework of stochastic multistage clonal expansion models, another presented a deterministic multistage model incorporating chromosomal aberrations and neoplastic transformation, and the last present...
Biological properties of relevance when modeling cancers induced in the atom bomb survivors include ...
Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo cou...
Cancer has become known as a complex and systematic disease on macroscopic, mesoscopic and microscop...
This review focuses on recent experimental and modeling studies that attempt to define the physiolog...
This project focused on extension of a generalized state-vector model developed by Crawford-Brown an...
Background: Frequently occurring in cancer are the aberrant alterations of regulatory onco-metabolit...
Although radiation carcinogenesis has been shown both experimentally and epidemiologically, the use ...
Geneticists and molecular biologists have demonstrated that carcinogenesis is a stochastic multi-sta...
Mathematical models of radiation carcinogenesis are important for understanding mechanisms and for i...
The removal of transformed cells via induction of apoptosis through intercellular signalling by surr...
Purpose: Biologically-based mechanistic models that are used in combining current understanding of h...
A multistage cancer model that describes the putative rate-limiting steps in carcinogenesis is devel...
International audienceBACKGROUND: Radiotherapy outcomes are usually predicted using the Linear Quadr...
Oncogenic transformed cells represent an in vitro system mimicking early-stage carcinogenesis. These...
ABSTRACT-A model for carcinogenesis is presented that pro-vides a framework for understanding the ro...
Biological properties of relevance when modeling cancers induced in the atom bomb survivors include ...
Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo cou...
Cancer has become known as a complex and systematic disease on macroscopic, mesoscopic and microscop...
This review focuses on recent experimental and modeling studies that attempt to define the physiolog...
This project focused on extension of a generalized state-vector model developed by Crawford-Brown an...
Background: Frequently occurring in cancer are the aberrant alterations of regulatory onco-metabolit...
Although radiation carcinogenesis has been shown both experimentally and epidemiologically, the use ...
Geneticists and molecular biologists have demonstrated that carcinogenesis is a stochastic multi-sta...
Mathematical models of radiation carcinogenesis are important for understanding mechanisms and for i...
The removal of transformed cells via induction of apoptosis through intercellular signalling by surr...
Purpose: Biologically-based mechanistic models that are used in combining current understanding of h...
A multistage cancer model that describes the putative rate-limiting steps in carcinogenesis is devel...
International audienceBACKGROUND: Radiotherapy outcomes are usually predicted using the Linear Quadr...
Oncogenic transformed cells represent an in vitro system mimicking early-stage carcinogenesis. These...
ABSTRACT-A model for carcinogenesis is presented that pro-vides a framework for understanding the ro...
Biological properties of relevance when modeling cancers induced in the atom bomb survivors include ...
Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo cou...
Cancer has become known as a complex and systematic disease on macroscopic, mesoscopic and microscop...