Cell survival and radiosensitisation: Modulation of the linear and quadratic parameters of the LQ model (Review)
Cell survival and radiosensitisation: Modulation of the linear and quadratic parameters of the LQ model (Review)
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DOI:
10.3892/ijo.2013.1857
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发表时间:
2013-05-01
影响因子:
5.2
通讯作者:
Barendsen, Gerrit W.
中科院分区:
文献类型:
--
作者:
Franken, Nicolaas A. P.;Oei, Arlene L.;Barendsen, Gerrit W.
The linear-quadratic model (LQ model) provides a biologically plausible and experimentally established method to quantitatively describe the dose-response to irradiation in terms of clonogenic survival. In the basic LQ formula, the clonogenic surviving fraction S-d/S-0 following a radiation dose d (Gy) is described by an inverse exponential approximation: S-d/S-0 = e(-(alpha d+beta d2)), wherein alpha and beta are experimentally derived parameters for the linear and quadratic terms, respectively. Radiation is often combined with other agents to achieve radiosensitisation. In this study, we reviewed radiation enhancement ratios of hyperthermia (HT), halogenated pyrimidines (HPs), various cytostatic drugs and poly(ADP-ribose) polymerase-1 (PARP1) inhibitors expressed in the parameters alpha and beta derived from cell survival curves of various mammalian cell cultures. A significant change in the alpha/beta ratio is of direct clinical interest for the selection of optimal fractionation schedules in radiation oncology, influencing the dose per fraction, dose fractionation and dose rate in combined treatments. The alpha/beta ratio may increase by a mutually independent increase of alpha or decrease of beta. The results demonstrated that the different agents increased the values of both alpha and beta. However, depending on culture conditions, both parameters can also be separately influenced. Moreover, it appeared that radiosensitisation was more effective in radioresistant cell lines than in radiosensitive cell lines. Furthermore, radiosensitisation is also dependent on the cell cycle stage, such as the plateau or exponentially growing phase, as well as on post-treatment plating conditions. The LQ model provides a useful tool in the quantification of the effects of radiosensitising agents. These insights will help optimize fractionation schedules in multimodality treatments.