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Colorectal Cancer Incidence Prediction Model
Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age. Patient information such as demographics and colon history can be used to individualize incidence predictions.
Version 2 - published on 16 Jun 2008
This tool is closed source.
| Category | Tools |
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| Abstract | This model describes the accumulation of somatic mutations within a single cell for genes commonly altered in colorectal adenomas and carcinomas. Acquisition of such mutations through time can lead to the formation of an adenoma (polyp) or a carcinoma.
Several default scenarios are available, where the mutation rates and genetics states have been fit to Indiana colorectal cancer incidence rates for various demographic groups (M/F and B/W). Options are available for altering the model structure by changing any of the following:
The model can be compared with the appropriate actual data set. The model outputs the likelihood that a CRC develops with patient age. In a future version of the model, predictions conditional on the demographics and colon history of a patient can be made. That is, model predictions for colorectal incidence can be refined based on the findings of a colonoscopy. |
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| Cite this work | Researchers should cite this work as follows: |
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