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A multistage, probabilistic, biologically based model of carcinogenesis has been developed involving qualitative and quantitative aspects of the process.
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Based on a dualistic model of carcinogenesis, epithelial ovarian carcinoma can be classified as type I and type II.
More recently, the correlation of clinicopathological features with genetic studies has suggested a new paradigm for the pathogenesis and origin of epithelial ovarian cancer based on a dualistic model of carcinogenesis that classifies ovarian cancer in two types [ 58].
The modern era is characterized by more conformal radiotherapy technologies, molecular and genetic marker approaches, genome-wide studies and risk stratifications, and sophisticated biologically based predictive models of the carcinogenesis process.
In conclusion, we propose for the first time a model of carcinogenesis for metastatic NB based on dictionary learning.
The vast majority of tumors were detected in the descending colon, which is typical for this model of carcinogenesis [32].
First, an evolutionary model of carcinogenesis predicts that advanced disease states are more likely to depict heterogeneity [1].
The simple multistage model of carcinogenesis is outlined.
Some of the statistical properties of a simple two-stage model of carcinogenesis are explored.
In the sequential multistep model of carcinogenesis (Vogelstein), may the order of oncogenic events vary?
Students in this class constructed synthesis maps as visual representations of their model of carcinogenesis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com