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. 2009 Apr;91(1):126-31.
doi: 10.1016/j.radonc.2008.10.015. Epub 2008 Nov 14.

Repeated tumor pO(2) measurements by multi-site EPR oximetry as a prognostic marker for enhanced therapeutic efficacy of fractionated radiotherapy

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Repeated tumor pO(2) measurements by multi-site EPR oximetry as a prognostic marker for enhanced therapeutic efficacy of fractionated radiotherapy

Huagang Hou et al. Radiother Oncol. 2009 Apr.

Abstract

Purpose: To investigate the temporal effects of single or fractionated radiotherapy on subcutaneous RIF-1 tumor pO(2) and to determine the therapeutic outcomes when the timing of fractionations is guided by tumor pO(2).

Methods: The time-course of the tumor pO(2) changes was followed by multi-site electron paramagnetic resonance (EPR) oximetry. The tumors were treated with single 10, 20, and 10 Gy x 2 doses, and the tumor pO(2) was measured repeatedly for six consecutive days. In the 10 Gy x 2 group, the second dose of 10 Gy was delivered at a time when the tumors were either relatively oxygenated or hypoxic. The changes in tumor volumes were followed for nine days to determine the therapeutic outcomes.

Results: A significant increase in tumor pO(2) was observed at 24h post 10 Gy, while 20 Gy resulted in a significant increase in tumor pO(2) at 72-120 h post irradiation. The tumors irradiated with a second dose of 10 Gy at 24h, when the tumors were oxygenated, had a significant increase in tumor doubling times (DTs), as compared to tumors treated at 48 h when they were hypoxic (p<0.01).

Conclusion: Results indicate that the time of tumor oxygenation depends on the irradiation doses, and radiotherapeutic efficacy could be optimized if irradiations are scheduled at times of increased tumor oxygenation. In vivo multi-site EPR oximetry could be potentially used to monitor tumor pO(2) repeatedly during fractionated schemes to optimize radiotherapeutic outcome. This technique could also be used to identify responsive and non-responsive tumors, which will facilitate the design of other therapeutic approaches for non-responsive tumors at early time points during the course of therapy.

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Figures

Figure 1
Figure 1
The change in average RIF-1 tumor pO2 before and after a single or fractionated radiation. (a) 0 Gy, n = 18, (b) 10 Gy, n = 24–32, (c) 20 Gy, n = 18. n is the total number of EPR probes in the tumors. Arrows indicate the time of irradiation. * p < 0.05, compared with baseline tumor pO2 in the same group.
Figure 2
Figure 2
The changes in average RIF-1 tumor pO2 before and after split dose radiation. (a) 0 Gy, n = 18, (b) 10 Gy +10 Gy at 0/24 hr, n = 42, (c) 10 Gy +10 Gy at 0/48 hr, n = 19. Arrows indicate the time of irradiation. * p< 0.05, ** p < 0.01, compared with baseline tumor pO2 in the same group (paired t-test).
Figure 3
Figure 3
The change in RIF-1 tumor volume in (a) 0 Gy, N = 9, (b) 10 Gy, N = 16, (c) 20 Gy, N = 9, (d) 10 Gy + 10 Gy at 0/24 hr, N = 24, (e) 10 Gy +10 Gy at 0/48 hr, N = 10. N is the number of animals with RIF-1 tumors in each group. Bold line indicates the mean tumor volume. Exponential mixed modeling is used to determine the DT (23, 24).
Figure 4
Figure 4
Tumor pO2 (a) and tumor growth inhibition (b) of RIF-1 tumors before and after 10 Gy × 2 radiations. The interval between the doses is determined by the time course of changes in mean tumor pO2 as described in the results section. Treatment groups were: (•) less responsive group (tumor pO2 < 50 % of baseline), (○) more responsive group (tumor pO2 ≥ 50 % of baseline). * p < 0.05, compared with less responsive group (unpaired t-test). n is the number of LiPc implants in each group, N is the number of animals in each group.

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