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Tutorial#15: Parameters TFS, TFU, TMAX and TSTP in the genome instability and neoplastic transformation model.
Overview

This set of parameters (under the keyword NEO) provide cell dependent information pertaining to cell transformation. The effect of TFU, the transformation rate for cells with enhanced genomic instability on the  genomic instability per surviving fraction (EGI/SF) and  transformation frequency per survivor (TPS) are analyzed.

 
Example 14.2 Effect of  the transformation rate for cells with enhanced genomic instability (TFU) on the behavior of
                            transformation frequency per survivor (TPS) (E.g. rmrsim9.inp -> rmrsim9.out).    
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Variation of TPS with the absorbed radiation dose for varying TFU.
 
 
Comments: The transformation frequency (represented by TPS) increases with increasing absorbed dose and TFU.
 
 
Suggested problems
  1. Without performing any calculations (using the definitions of the input parameters), predict the trends of EGI/SF and TPS for increasing TFS, TMAX.
  2. Consider the input file given in Example 14.2 and check your answers for Problem 1.
  3. What is the effect of changing the input parameter TSTP on the output (run appropriately modified input files)? Explain the reason for your observation.
  4. Create an input file (use the input file given under Example 14.2) to calculate the transformation frequency for an exponential dose rate function (Use I-125). How does the half life affect the transformation frequency?
Tip: Experiment by changing the various model parameters and physically interpreting your results.
 
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Last updated: 10 June, 2011
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