Review Article

In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances

Table 3

Difficulties in tumour growth and treatment response modelling relating to suitable input biological data.

Parameters/information that are difficult to obtain (quantitatively)Reason for the difficultyOvercoming the difficulty

Aggressiveness and time of onset of accelerated repopulationIntertumour variability that is unknown cannot measure/estimate for individual patients without cell biopsy sample used in in vitro tests which may alter resultsGrouping patients into tumours that are likely to have slow or fast repopulation by some means of genetic/pathologic testing—however methods currently unknown

The extent of various mechanisms responsible for tumour repopulation during treatmentThe interplay between recruitment, accelerated stem division, abortive division and loss of asymmetrical division, in stem cells makes it difficult to evaluate their individual effectResearch stem cell properties for rapidly proliferating tumours.Sensitivity study on each individual and combined parameter when modelling

Input of individualised tumour data, for example, intrinsic radiosensitivity, differences in stem/transit or quiescent cell radiosensitivityCurrently no pretreatment testing due to logistics and time of testingResearch cell type/proliferative capacity-dependent radiosensitivities for different tumour cell lines, individualised radiosensitivity pre-treatment testing (requires staff/money/time)

Tumour oxygenation/reoxygenationDifferent in every tumour, changes in time, access to equipment, for example, daily/weekly PET, invasive nature of in vivo quantitative data gathering, for example, Eppendorf/Oxy Lab probeAccess and research into to the feasibility and drug development for daily/weekly PET scans, with tracers that can image hypoxic regions with various thresholds, for example, 2.5, 5.0, 10 mm Hg

Drug pharmacokineticsLack of quantitative in vivo assaysUsing in vitro data if existent, parameter estimation and sensitivity study. Molecular pharmacological modelling is required

Cell survival data for chemotherapyLack of mathematical formalism equivalent to the LQ model used in radiotherapyUsing in vitro data if existent for that particular agent