1. Prediction of the Cell Killing Effect of Clinically-Used Mixed-LET Carbon Ions by Clustered Dsbs Volumes Using Super-Resolution Microscopy.
- Author
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Oike, T., Kakoti, S., Sakai, M., Matsumura, A., Ohno, T., and Shibata, A.
- Subjects
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LINEAR energy transfer , *MONTE Carlo method , *ION beams , *GAUSSIAN function , *CELL survival - Abstract
Variation in the linear energy transfer (LET) profiles of carbon ion radiotherapy (CIRT) plans among cases, even when using the same dose, can influence the antitumor effect; however, there is no biological basis for predicting the antitumor effects of CIRT in relation to LET. Our recent studies suggest that induction of clusters of double-strand breaks (DSBs) in close proximity to each other is a potential mechanism underlying cell killing by high-LET carbon ions. This study aimed to test the hypothesis that the cell killing effect of clinically-used mixed-LET carbon ions can be predicted by the degree of DSB clustering using super-resolution microscopy technologies. A549 lung cancer cells were irradiated with monoenergetic carbon ion beams (LET13–100 keV/µm; 1 Gy) and subjected to immunofluorescence staining to detect γH2AX, a marker of DSBs. Signals from γH2AX foci were detected by DeltaVision OMX, a super-resolution microscope, followed by three-dimensional volume rendering using Imaris software. For each LET, the probability density of γH2AX foci volumes was approximated using the Gaussian function, from which an induction probability (p) of γH2AX foci ≥ v µm3 (0.1–2.0 µm3; 0.1 µm3 increments) was calculated. Cell survival at corresponding irradiation settings was examined in clonogenic assays, from which the cell killing effect (k) was calculated as 1 - the surviving fraction. The correlation between p and k for monoenergetic beams was examined by Spearman's correlation test. The LET profiles of spread-out Bragg peak (SOBP) beams (width, 3–12 cm, 1 cm increments; 1 Gy) was estimated by Monte Carlo simulation using a simulation toolkit, from which the dose-averaged LET was calculated. The relationship between p and k in SOBP beams was analyzed by substituting dose-averaged LET into the formula. Volumes were obtained for 3317 γH2AX foci. For monoenergetic beams, p and k showed the greatest correlation (r = 0.98) at v = 0.7; the difference between the two parameters across LETs was 6.3% ± 5.5%. For SOBP beams, p and k showed the greatest correlation (r = 1) at v = 0.7, with a difference between the two parameters across an SOBP width of 1.6% ± 1.2%. The cell killing effect of clinically-used mixed-LET carbon ions can be predicted from an induction probability of γH2AX foci ≥ 0.7 μm3. These findings provide a biological basis for LET painting in future CIRT planning. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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