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- Open Access
The influence of a magnetic field on photon beam radiotherapy in a normal human TK6 lymphoblastoid cell line
- B. Yudhistiara^{1, 5},
- F. Zwicker^{3},
- K. J. Weber^{1, 5},
- P. E. Huber^{1, 3},
- A. Ruehle^{1, 3},
- S. Brons^{2, 5},
- P. Haering^{4},
- J. Debus^{1, 2, 5, 6} and
- S. H. Hauswald^{1, 2, 5, 6}Email author
- Received: 30 August 2018
- Accepted: 6 January 2019
- Published: 17 January 2019
Abstract
Background
The implementation of magnetic resonance imaging (MRI) guided radiotherapy (RT) continues to increase. Very limited in-vitro data on the interaction of ionizing radiation and magnetic fields (MF) have been published. In these experiments we focused on the radiation response in a MF of the TK6 human lymphoblastoid cells which are known to be highly radiosensitive due to efficient radiation-induced apoptosis.
Methods
Clonogenicity was determined 12–14 days after irradiation with 1–4 Gy 6 MV photons with or without a 1.0 Tesla MF. Furthermore, alterations in cell cycle distribution and rates of radiation induced apoptosis (FACS analysis of cells with sub-G1 DNA content) were analyzed.
Results
Clonogenic survival showed an exponential dose-dependence, and the radiation sensitivity parameter (α = 1.57/Gy) was in accordance with earlier reports. Upon comparing the clonogenic survival between the two groups, identical results within error bars were obtained. The survival fractions at 2 Gy were 9% (without MF) and 8.5% (with MF), respectively.
Conclusion
A 1.0 Tesla MF does not affect the clonogenicity of TK6 cells irradiated with 1–4 Gy 6MV photons. This supports the use of MRI guided RT, however ongoing research on the interaction of MF and radiotherapy is warranted.
Keywords
- MRI guided radiotherapy
- MR Linac
- In-vitro experiment
- Normal human cells
- TK6 human lymphoblastoid cells
Introduction
Magnetic resonance image (MRI) guided radiation therapy (RT) is rapidly expanding owing to the superior soft tissue contrast compared with computer tomography (CT) [1]. Despite the tremendous effort in developing suitable technologies, concerns about possible alterations in biological responsiveness to a given therapeutic radiation dose in the presence of a magnetic field (MF) has found much less attention. While it is consented that current clinical MRI technologies can be safely applied [2], some observed physiological alterations [3] could become relevant when radiation damage is concomitantly being processed in a cell. However, such arguments are mere speculation at present. More obvious is the possibility that the released secondary electrons after photon energy absorption are subject to the Lorentz force in a MF. This would not only cause distortions of dose distribution at air/tissue interfaces [4] but could hypothetically also lead to clustering of DNA damage from such “backcircling” electrons [5, 6]. Only a few researchers have addressed this subject experimentally using different model systems, from baker’s yeast [7] to mouse mammary tumor cells [8] or Chinese hamster lung cells [9]. The common finding of these studies is a lack of statistically significantly increased radiation response due to static MF with field strength ranging from 0,14 to 2 Tesla. A similar observation was reported from our laboratory where the clonogenic survival of human tumor cells (WIDR colon adenocarcinoma and A549 lung carcinoma) was assessed after 6 MV photons (up to 8 Gy) with the absence or presence of a 1 Tesla static MF [10]. However, due to potential hazards from some unknown interaction phenomenon in the ionizing radiation-MF combination, it is reasonable to assume that the normal tissue cell response rather than the tumor cell response would be a more relevant question. Therefore, we assessed the radiation response of the TK6 human lymphoblastoid cells which are known to be highly radiosensitive due to efficient radiation-induced apoptosis; a mechanism frequently decreased or abrogated in tumor cells [11, 12].
Methods
Cell culture
The TK6 cell line with wild type p53 function was used in our experiments. TK6 cells (human lymphoblastoid cells from spleen) were originally provided by the Tumorbank of the German Cancer Research Center, DKFZ, Heidelberg, Germany. DNA cell line authentication was done by Eurofins Medigenomix Forensik GmbH, Ebersberg, Germany.
Identical to Schäfer’s work [11], the cells were cultured in suspension at 37 °C in a humidified atmosphere (6% CO_{2}). The medium used was RPMI 1640 fortified with 10% heat-inactivated horse serum (Gibco) and 1% penicillin. The cell density was kept at 0.1 to 1.0 × 10^{6}/ml by subculturing at regular intervals.
Magnetic field
Radiation and Clonogenic survival
Photon beams were generated using a linear accelerator model Siemens Artiste 2 (6 MV) at the German Cancer Research Center (DKFZ). The clonogenic survival of the TK6 cells was determined by plotting their survival curves with and without MF. Raw data of vitality are obtained as plating efficiencies, and these values are determined in at least three independent experiments. Since our cells are not adherent in nature, the microtiter assay using the 96 well plates was used. Cultured cells were centrifuged, their supernatant discarded and then resuspended with 10 ml fresh medium.
The number of cells plated within a single well after irradiation with respect to the type of radiation used in the experiments
Type of radiation | Dose [Gy] | Number of cells per well |
---|---|---|
Photon beams | 0 | 1 |
1 | 2 | |
2 | 20 | |
3 | 50 | |
4 | 100 |
After 14 days the number of wells which have changed in color from red to yellow was counted for further calculations.
Where N = the number of cells plated in a well, n = the number of wells without cell growth. Schäfer’s work has shown that n should lie between 40 and 50 to obtain stable results [11].
α and β are coefficients that can then be determined using the regression analysis.
Fluorescence-activated cell sorting (FACS)
Where f_{x} is the total sub-G1-phase fraction after treatment and f_{0} is the respective value of the untreated control (non-irradiated cells) from the same experiment. We performed four repeats of this experiment independently and calculated the mean TSA. Similar to the survival assay, a two-sample unpooled t-test was also performed to determine whether the differences in the TSA between the two groups (with and without MF) are statistically significant. Here the difference between the two mean values is statistically significant when the p-value is < 0.05 as well.
Two-factor analysis of variance (two-way ANOVA)
We decided to include two-way ANOVA as an additional statistical tool, which compares all variances in the control group to those in the treatment group. This analysis was generated using SPSS 23 by IBM.
Results
Clonogenic assay
The mean survival fractions (SF) of 3 independent experiments with and without MF with the respective t-test and p values
Dose [Gy] | Mean SF (without MF) | σ | Mean SF (with MF) | σ | t-test | p-value |
---|---|---|---|---|---|---|
0 | 1.191 | 0.238 | 1.155 | 0.162 | 0.217 | 0.840 |
1.0 | 0.286 | 0.0800 | 0.286 | 0.0679 | 0.00 | 1.00 |
2.0 | 0.0698 | 0.0251 | 0.0563 | 0.0202 | 0.726 | 0.510 |
3.0 | 0.0246 | 0.00904 | 0.0220 | 0.0130 | 0.284 | 0.792 |
4.0 | 0.00915 | 0.00398 | 0.00767 | 0.00444 | 0.430 | 0.690 |
Cell cycle analysis
Note the falling G0/G1 population with the simultaneous increase in G2 population over time in all four experiments. Also, the solid and dotted curves are almost identical for their respective cell cycle phase in each experiment.
Treatment-specific apoptosis
The calculated mean TSA of both groups with their respective t-test and p values for each time period. Each mean value was derived from 3 independent experiments
Time [h] | Mean TSA (without MF) | σ | Mean TSA (with MF) | σ | t-test value | p-value |
---|---|---|---|---|---|---|
8 | 0.0269 | 0.0326 | 0.0306 | 0.0115 | 0.182 | 0.869 |
10 | 0.0141 | 0.0157 | 0.0276 | 0.0174 | 1.004 | 0.373 |
12 | 0.0795 | 0.00738 | 0.0858 | 0.0366 | 0.292 | 0.796 |
14 | 0.0880 | 0.0194 | 0.0914 | 0.00279 | 0.303 | 0.790 |
24 | 0.171 | 0.0327 | 0.220 | 0.0288 | 1.58 | 0.191 |
48 | 0.339 | 0.0130 | 0.323 | 0.00534 | 1.59 | 0.222 |
Two-way ANOVA
Survival Fraction
Tests of Between-Subjects Effects | |||||
---|---|---|---|---|---|
Dependent Variable: Survival Fraction | |||||
Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
Corrected Model | 5.875^{a} | 9 | .653 | 68.657 | .000 |
Intercept | 2.896 | 1 | 2.896 | 304.610 | .000 |
Magnetic Field | .001 | 1 | .001 | .087 | .770 |
Dose | 5.873 | 4 | 1.468 | 154.421 | .000 |
Magnetic Field * Dose | .001 | 4 | .000 | .036 | .997 |
Error | .190 | 20 | .010 | ||
Total | 8.961 | 30 | |||
Corrected Total | 6.065 | 29 |
Treatment-specific Apoptosis
Tests of Between-Subjects Effects | |||||
---|---|---|---|---|---|
Dependent Variable: TSA | |||||
Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
Corrected Model | .427^{a} | 11 | .039 | 69.808 | .000 |
Intercept | .560 | 1 | .560 | 1007.354 | .000 |
Magnetic Field | .001 | 1 | .001 | 1.601 | .218 |
Time | .422 | 5 | .084 | 152.036 | .000 |
Magnetic Field * Time | .003 | 5 | .001 | 1.223 | .329 |
Error | .013 | 24 | .001 | ||
Total | 1.000 | 36 | |||
Corrected Total | .440 | 35 |
Discussion
The implementation of MRI-guided RT has been increasing in recent years with new MR-Linacs being installed in various centers around the world. However, only few data on the interaction of photon beam radiation and MF have been published. In this developing new field of RT, it is important to analyze potential interaction phenomena in the ionizing radiation-MF combination on tumor cell lines and normal tissue cell lines as well. Therefore, the radiation response of TK6 human lymphoblastoid cells which are known to be highly radiosensitive was analyzed as an indicator for normal tissue interactions. Since most MRI used in clinical settings utilize a MF of 0.5 to 1.5 T, our experiments were carried out in a MF of 1 T.
Raw data of vitality were obtained as plating efficiencies, and these values were determined in at least three independent experiments. Interexperimental variability of data originates from both stochastic errors (i.e. precision of pipetting) and from systematic changes of biological factors. The latter is a common change of inherent plating efficiency of a particular cell preparation – at a given day and subcultivation history – which needs to be accounted for by intraexperimental normalization before repeat experiments can be compared. Accordingly, two approaches can be distinguished: (i) all data (plating efficiencies of a particular experiment) are normalized to the respective control value yielding the surviving fractions in the simplest manner. This procedure, however, implies that the control value would have been determined without error, which is not true. (ii) The mathematical function used to describe SF as a function of dose (the LQ model) is fitted to all plating efficiencies of a particular experiment (including control). This yields a calculated (“the best”) value at dose zero which is then taken to normalize the plating efficiencies for each independent experiment. Subsequently, mean values (and standard deviations) from the repeat measurements were calculated and the fit procedure (i.e. with LQ model) was applied again.
In our experiments the regression of the SF for the photon beams produced a value of 1.57 for α, which is an indicator of radiosensitivity of the cell type. The linearity of the curve also confirms the radiosensitivity of the TK6 cell line used. This corresponds to Schäfer’s work [11] and therefore supports the reliability of the chosen experimental setup.
Given the observation of a lacking influence with regard to the MF, the respective statistical tests must be considered. For the clonogenic assay a 2-sample t-test was performed comparing the mean SF between the control and experimental groups. It is then assumed that the two groups that are being tested are independent of each other and that they are normally distributed. The unpooled t-test was selected since it is also assumed that the variances are not equal. Since p > 0.05 in all dose groups in all 3 different radiation types, it cannot be concluded that there is a statistically significant difference between the two mean SF. Similar results were observed when the TSA of both groups were compared against each other. A p-value > 0.05 for all points in the TSA graph also means that no conclusion about a statistically significant difference between the mean TSA of both groups can be reached. In other words, it cannot be concluded that there is a biologically relevant effect on TK6 cells after being irradiated in a MF.
In addition the two-way ANOVA test confirms our hypothesis. The two independent variables are the presence of a MF and irradiation dose. The significant values listed in all tables in the row “Magnetic_Field” are more than 0.05, which indicates that at 5% significance level, the presence of a MF does not have any statistically significant effect on the dependent variable, be it SF or TSA. Moreover, in the significant values in the row “Magnetic_Field * Dose” are all close to 1.00, which means that there is no interaction between those two independent variables. Hence through these statistical tests we can conclude that there are neither negative nor positive effects observed when TK6 cells are irradiated in a MF of 1 T.
In the cell cycle experiments we observed the well-known G2-Arrest after photon irradiation [14]. The addition of a MF had no significant influence on the cell cycle progression after photon irradiation in TK6 cells in our setting.
In another experiment from our laboratory on the clonogenic survival of human tumor cells (WIDR colon adenocarcinoma and A549 lung carcinoma cell lines) treated with photon beam RT in a 1 Tesla MF, comparable results to this report were found [10].
In summary, the present phenomenological experiment with normal human TK6 lymphoblastoid cell lines as a highly radiosensitive in-vitro system does not indicate any interaction of a static 1 Tesla MF on 1–4 Gy photon beam RT. Further research on potential interactions of MF and photon as well as particle beam treatments is warranted.
Declarations
Acknowledgments
We thank Armin Runz (DKFZ) for the creation of Fig. 1.
Funding
We acknowledge financial support by Deutsche Forschungsgemeinschaft within the funding program Open Access Publishing, by the Baden-Württemberg Ministry of Science, Research and the Arts and by Ruprecht-Karls-Universität Heidelberg. Besides this financial support for publishing, this project was not funded by third parties.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors’ contributions
HH, KJW, PH, FZ and JD developed and planned the study. BY, PH, SB, AR, PH and KJW performed the irradiation and were responsible for management of the cells. BY, FZ, PH, SB, KJW, PH and HH participated in writing the manuscript and revising it. HH, KJW, JD, BY, PH and FZ performed data analysis. KJW, PH and HH reviewed all data and statistical analyses. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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References
- Schmidt MA, Payne GS. Radiotherapy planning using MRI. Phys Med Biol. 2015;60(22):R323–R61.View ArticleGoogle Scholar
- Hartwig V, Giovannetti G, Vanello N, Lombardi M, Landini L, Simi S. Biological effects and safety in magnetic resonance imaging: a review. Int J Environ Res Public Health. 2009;6(6):1778–98.Google Scholar
- Dini L, Abbro L. Bioeffects of moderate-intensity static magnetic fields on cell cultures. Micron. 2005;36(3):195–217.View ArticleGoogle Scholar
- Menten MJ, Fast MF, Nill S, Kamerling CP, McDonald F, Oelfke U. Lung stereotactic body radiotherapy with an MR-linac - quantifying the impact of the magnetic field and real-time tumor tracking. Radiother Oncol. 2016;119(3):461–6.View ArticleGoogle Scholar
- Chen Y. The magnetic confinement of Electron and photon dose profiles and the possible effect of the magnetic field on relative biological effectiveness. University of Michigan; 2005. http://research.physics.lsa.umich.edu/twinsol/Publications/YUThesisPDFCmprsd.pdf.
- Shih CC. High energy electron radiotherapy in a magnetic field. Med Phys. 1975;2(1):9–13.View ArticleGoogle Scholar
- Chen Y, Lau B, Becchetti F. SU-FF-T-405: the effect of magnetic field on relative biological effectiveness in yeast cells. Med Phys. 2007;34(6Part14):2495.View ArticleGoogle Scholar
- Rockwell S. In vivo-in vitro tumor systems: new models for studing the response of tumours to therapy. Lab Anim Sci. 1977;27(5 Pt 2):831–51.PubMedGoogle Scholar
- Nath R, Schulz RJ, Bongiorni P. Response of mammalian cells irradiated with 30 MV X-rays in the presence of a uniform 20-kilogauss magnetic field. International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine. 1980;38(3):285–92.View ArticleGoogle Scholar
- Ziles D. Die Auswirkung eines statischen Magnetfeldes auf das klonogene Überleben humaner Karzinomzellen nach Photonenbestrahlung in vitro. 2018. URN: urn:nbn:de:bsz:16-heidok-248424.Google Scholar
- Schäfer JB, Engling A, Little JB, Weber KJ, Wenz F. Suppression of apoptosis and Clonogenic survival in irradiated human Lymphoblasts with different TP53 status. Radiat Res. 2002;158(6):699–706.View ArticleGoogle Scholar
- Geiger C, Wenz F. Radiation induced chromosome aberrations and Clonogenic survival in human Lymphoblastoid cell lines with different p53 status. Strahlenther Onkol. 1999;175(6):289–92.View ArticleGoogle Scholar
- Nicoletti I, Migliorati G, Pagliacci MC, Grignani F, Riccardi C. A rapid and simple method for measuring thymocyte apoptosis by propidium iodide staining and flow cytometry. J Immunol Methods. 1991;139(2):271–9.View ArticleGoogle Scholar
- Joiner M, Avd K. Basic Clinical Radiobiology. Great Britain: Hodder Arnold; 2009.Google Scholar
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