Re: Build a cell-cycle based tumor growth model

From: Benjamin Ribba Date: July 17, 2008 technical Source: mail-archive.com
Dear Feng, a smart way could be to (actually) write down equations for the other biomarkers. The simplest way to do this is is to assume that when cells have evolved in a given phase (say G1) for a particular duration, they move to the following one (S). By doing such, you may also solve your second issue setting initial conditions to all your derivative equations. Best regards, Benjamin o set a phase duration and to write that when cells in G1 stayed for the entire duration, they move to D, and so on... Il 17-07-2008 10:49, "Feng Yang" <[EMAIL PROTECTED]> ha scritto: > Dear nmusers: > Recently I am trying to build a cell-cycle based tumor growth model, i.e. > tumor size = G1+ S + G2 + M. Meanwhile, I have quite a few simultaneous > biomarkers to characterize the cycle behaviors. Those biomarkers could be > calculated based on the population of G1, S, G2, and M. I have the following > puzzles needed to be addressed: > > 1) In my data file, what is the CMT number I should give to those > observations (such as tumor size and many biomarkers)? By the way, I need CMT > to specify/initialize the corresponding compartment. Since I am not quite > sure how to use L2 and PCMT, I tried many times, all failed except the > following foolish way: > I create one more compartment to hold the tumor size: > DADT(iTUMROR) = DADT(iG1) + DADT(iS) + DADT(iG2) + DADT(iM) > and in my data file, I put the CMT compartment created (iTUMOR) into the > observation of tumor size. > > However, for all other biomarkers, there is no way to write this kind of DADT > equations. How could I solve this in a smart way? > > 2) Since some biomarker data are collected based on certain time point, saying > t0. In other words, they are relative fold-changes compared to the vehicle at > t0. Therefore, I need to save the intermediate population of G1, S, G2 and M > at t0, as constants, which will be used to scale the later-on populations so > that the model predictions are comparable with the observations. > > However, in the both block $DES and $ERROR, there is no way to save these > intermediate populations as global variables or constants. I guess, I have > to use MSFO to separate the simulation to many sections? But it am not sure > how to do it. > > Your thoughts and feedback are really appreciated! Thanks a lot! > > Feng > > >
Jul 17, 2008 Feng Yang Build a cell-cycle based tumor growth model
Jul 17, 2008 Benjamin Ribba Re: Build a cell-cycle based tumor growth model
Jul 17, 2008 Nick Holford Re: Build a cell-cycle based tumor growth model
Jul 17, 2008 Mark Sale RE: Build a cell-cycle based tumor growth model