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Gold nanoparticle DNA damage in radiotherapy: A Monte Carlo study

  • This study investigated the DNA damage due to the dose enhancement of using gold nanoparticles (GNPs) as a radiation sensitizer in radiotherapy. Nanodosimetry of a photon irradiated GNP was performed with Monte Carlo simulations using Geant4-DNA (ver. 10.2) in the nanometer scale. In the simulation model, GNP spheres (with diameters of 30, 50, and 100 nm) and a DNA model were placed in a water cube (1 µm3). The GNPs were irradiated by photon beams with varying energies (50, 100, and 150 keV), which produced secondary electrons, enhancing the dose to the DNA. To investigate the dose enhancement effect at the DNA level, energy deposition to the DNA with and without the GNP were determined in simulations for calculation of the dose enhancement ratio (DER). The distance between the GNP and the DNA molecule was varied to determine its effect on the DER. Monte Carlo results were collected for three variables; GNP size, distances between the GNP and DNA molecule, and the photon beam energy. The DER was found to increase with the size of GNP and decrease with the distance between the GNP and DNA molecule. The largest DER was found to be 3.7 when a GNP (100 nm diameter) was irradiated by a 150 keV photon beam set at 30 nm from the DNA molecule. We conclude that there is significant dependency of the DER on GNP size, distance to the DNA and photon energy and have simulated those relationships.

    Citation: Chun He, James C.L. Chow. Gold nanoparticle DNA damage in radiotherapy: A Monte Carlo study[J]. AIMS Bioengineering, 2016, 3(3): 352-361. doi: 10.3934/bioeng.2016.3.352

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  • This study investigated the DNA damage due to the dose enhancement of using gold nanoparticles (GNPs) as a radiation sensitizer in radiotherapy. Nanodosimetry of a photon irradiated GNP was performed with Monte Carlo simulations using Geant4-DNA (ver. 10.2) in the nanometer scale. In the simulation model, GNP spheres (with diameters of 30, 50, and 100 nm) and a DNA model were placed in a water cube (1 µm3). The GNPs were irradiated by photon beams with varying energies (50, 100, and 150 keV), which produced secondary electrons, enhancing the dose to the DNA. To investigate the dose enhancement effect at the DNA level, energy deposition to the DNA with and without the GNP were determined in simulations for calculation of the dose enhancement ratio (DER). The distance between the GNP and the DNA molecule was varied to determine its effect on the DER. Monte Carlo results were collected for three variables; GNP size, distances between the GNP and DNA molecule, and the photon beam energy. The DER was found to increase with the size of GNP and decrease with the distance between the GNP and DNA molecule. The largest DER was found to be 3.7 when a GNP (100 nm diameter) was irradiated by a 150 keV photon beam set at 30 nm from the DNA molecule. We conclude that there is significant dependency of the DER on GNP size, distance to the DNA and photon energy and have simulated those relationships.


    1. Introduction

    Radiotherapy is commonly employed option in cancer treatment which uses ionizing radiation. The therapy is used to control cancer/tumor cells by delivering a specific radiation dose in order to cause lethal genetic damage within tumor cells [1,2,3]. One challenge in radiotherapy is that the radiation not only damages the targeted cancer cells but also surrounding normal cells resulting in various side effects such as skin irritation, nausea, fatigue, and secondary cancers [4]. Delivered dose to the tumor must be weighted against the predicted dose to healthy structures, defining limits for the treatment prescription. In order to minimize the damage of normal cells surrounding the tumor cells, research into radiation sensitization, which is capable of increasing the tumor cell susceptibility to radiation, receives significant attention [5,6]. In radiotherapy, radiation sensitizers can be used to enhance the therapeutic ratio of treatment. As the sensitizer can also enhance the image contrast of the tumor, the accuracy of radiation beam targeting is also improved [7,8,9,10].

    Gold nanoparticles (GNPs) have been proposed as an effective radiation sensitizer [11,12,13,14] and there are multiple properties of GNPs that make it an ideal material for radio-sensitization. First, GNPs have ability to enhance the radiation effect to a large surrounding area that does not require the NPs to be delivered to all tumor cells [15]. Second, GNPs are known to have low systemic clearance allowing the NPs enough time to be absorbed by the tumor. GNPs are also well absorbed into the circulatory system and thus can easily permeate the tumor and along with the low systemic clearance results in an enhanced permeation and retention effect [16]. Moreover, it is easy to vary the size and shape of GNPs so one can achieve optimum delivery and effects based on the tumor size and location [17]. GNPs are inert and highly biocompatible. Therefore, it is safe for patients who use GNP as a radiation sensitizer. Gold is also chosen due to its large atomic number (compared to a tumor or water), which leads to a larger photoelectric cross section, increased secondary electron production and thus a higher dose enhancement than many other materials [7,10]. Regulla et al. studied the dose enhancement effects of metallic gold surfaces irradiated by photon beams [18]. It was verified through experiments that enhancement of up to a factor of 100 was found in polymethylmethacrylate situated close to the metallic gold foil.

    GNP addition to tumors was studied in the preclinical stage of radiotherapy. Herold et al. showed that 1% of GNPs contained in a solution can increase average doses by 42-43% for 200 kVp photon beams [19]. They reported that injecting GNPs with sizes of 1.5-3.0 m to the mice could have dose enhancement effects on tumors. In another work, Hainfeld et al. reported that with injection of GNPs into tumors in mice increased their one-year survival rate to 86% compared to 20% without injection of GNPs [20]. Hainfeld et al. also did an intravenous injection of GNPs into mice with squamous cell carcinoma and compared the results of irradiating mice with and without GNPs. They found that tumors in the mice with GNPs during irradiation shrunk much faster than without GNPs, and 9 of 10 mice had no visible tumors within one month [21]. For estimation of the dose enhancement effect due to GNP addition, Cho conducted Monte Carlo simulations on modalities of the 140 kVp, 4 and 6 MV photon beams, and 192-Ir gamma rays [22]. Cho’s simulation results showed that a dose enhancement of larger than 10% could be achieved with low-energy photon beams and 192-Ir gamma rays. On the other hand, high-energy photon beams (4 and 6 MV) did not see a significant dose enhancements using GNPs. Cho’s simulation, however, was estimated macroscopically over the tumor volume, and suggested further simulation was necessary to investigate GNP as a radiation sensitizer in the micrometer (or nanometer) scale.

    Leung et al. and Chow et al. used Geant4 Monte Carlo code to simulate the interaction of GNPs with photons and electrons [23,24,25]. They calculated the effective range, deflection angle, dose deposition, and interaction processes of secondary electrons produced by radiation. Their simulation results showed that with GNPs, secondary electron production increased by a factor of 10 to 2000 compared to radiation without GNPs. This was particularly pronounced for low-energy (50-250 kVp) photon beams that had a significantly higher production of secondary electrons. However, Leung et al. did not consider the interaction between the GNPs and DNA at the nanometer scale [23]. To perform Monte Carlo simulations for nanodosimetry, Monte Carlo code such as the Geant4-DNA should be used in this case as it can simulate the physical processes of low-energy particle interactions used for modeling DNA damage induced by ionizing radiation [26].

    In this study, the effect of DNA damage due to the dose enhancement of GNP addition was studied using a Monte Carlo simulation. In order to understand variations of dose enhancement using GNPs as a radiation sensitizer, the simulation examined different sizes of GNP, distances between the GNP and the DNA, and photon beam energies. Moreover, the dosimetric impact of coating the GNP surface for protective purpose was investigated by Monte Carlo simulation. With simulation results of various irradiation setups, the most effective configuration for GNPs as a radiation sensitizer can be predicted at the nanometer scale.


    2. Materials and Method


    2.1. Simulation geometry

    A spherical GNP was centered inside a cube of water with dimensions of 1 × 1 × 1 μm3. A DNA molecule was placed on the right-hand side of the GNP at distances of 30, 80 and 130 nm as shown in Figure 1. The GNP was irradiated by photon beams with energies equal to 50, 100, 150 and 200 keV. The photon source was 200 nm from the left-hand side of the GNP along the horizontal axis, and the diameter of the photon field was twice that of the diameter of the GNP. The central beam axis was set to the center of the GNP. Three GNP sizes (diameters of 30, 50 and 100 nm) were used for the Monte Carlo geometry [23,24,25]. In the simulation, secondary electrons produced by the photon-irradiated GNP deposited energy upon reaching the DNA molecule. The energy accumulated in the DNA was then estimated and used to calculate the dose enhancement ratio (DER). In order to predict the secondary electron production in water without the GNP, the simulation was repeated using the same geometry except the material of the NP was changed from gold to water.

    Figure 1. Schematic diagram showing the geometry of the Monte Carlo simulation.

    2.2. Monte Carlo simulation

    The energy deposition in the DNA due to the irradiated GNP was predicted by Monte Carlo simulation using the Geant4-DNA code (ver. 10.2) [27]. Geant4 is a Monte Carlo software toolkit developed by CERN that provides a set of physical processes for the transport and interaction of particles with matter [28,29]. The software can construct the environment of the irradiated GNP attached to the DNA in water, and set the DNA as a dose scorer to calculate the total energy deposition. Geant4 requires users to have CMake3.3 or higher to run the code, C++ Compiler and Standard Library supporting C++ 11 Standard for programming [30]. Geant4-DNA provides a virtual machine containing CentOS Linux, the latest version of Geant4 (ver. 10.2), visualization tools, analysis tools, and other utilities. VMware workstation 12.1.0 was used for running the virtual machine. The code was run on a virtual machine because the machine has all the pre-installed software that needed by Geant4 and made the entire process closely follow the documentation provided for Geant4. Moreover, the instructions given by CERN recommend running on the Linux operating system (OS).


    2.3. GNP coating

    Since NPs are in the nanometer scale and possess a high surface-to-volume ratio, it is extremely reactive in a medium. In order to stabilize the NP in water or in a solvent, a coating is needed as a protective layer [31,32]. Generally, citrate or polymers such as polyethylene glycol (PEG) or polyvinyl alcohol (PVA) are used as the coating material for the GNP [33,34]. Although the coating layer is very thin (1-6 nm) and mainly made of low atomic number elements such as carbon, oxygen and hydrogen, there is concern that the coating would affect the secondary electron production during irradiation. In this study, we examined the impact of the coating layer on the dose enhancement of GNPs. Dose enhancements of the GNP with and without coating were compared in different sizes of GNP and photon beam energies. Three coatings, namely citrate (C6H8O7), PEG (C2nH4n+2On+1) and PVA (C2H4O)n were used.


    2.4. Dose enhancement ratio

    The enhancement of energy deposition leading to DNA damage due to the addition of GNPs can be determined using the DER defined as:

    DER=DoseintheDNAwithGNPadditionDoseintheDNAwithoutGNPaddition (1)

    To calculate the dose to the DNA without GNP addition, the material of the NP was changed from gold to water, which mimicked the absorption of tumor mass (we assumed water equivalence). It is seen in Equation (1) that if there is general dose enhancement from the presence NPs, the DER should be larger than one [35].


    3. Results and Discussion


    3.1. Effect of GNP coating

    Table 1 shows the average DER of GNPs of different sizes (diameters of 30, 50 and 100 nm) irradiated by 50, 100, 150 and 200 keV photon beams for the various coatings. It is seen that the addition of coating on the GNPs did not affect the dose enhancement compared to the GNPs without coating. The unchanged DER showed that the effect of the polymer coating on secondary electron production from the GNPs was insignificant. This may be due to the small interaction cross-sections of the carbon, hydrogen and oxygen atoms having relative small atomic numbers. Therefore, the energy deposition in the DNA was likely unaffected by the GNP coatings.

    Table 1.Average DER with the GNP coating using different materials.
    Photon beam energy (keV)No coatingCitratePEGPVA
    502.42.42.42.4
    1002.72.72.72.7
    1502.82.82.82.8
    2002.82.82.82.8
     | Show Table
    DownLoad: CSV

    Tables 2-5 show the DER for 50, 100, 150 and 200 keV photon beams, different sizes of GNPs and distances between the GNP and DNA.


    3.2. Dependence of the size of GNP on DER

    In Tables 2-5, it is seen that the DER increased with the size of the GNP. This shows that a larger GNP generates more secondary electrons than a smaller one. This GNP size effect was most significant for the 150 keV photon beams, where the DER was increased by 68%, 59% and 45% when the distances between the GNP and DNA were equal to 30, 80 and 130 nm, respectively. When the photon beam energy was less than or equal to 50 keV, the DER was only increased by 26%, 23% and 18%, for distances of 30, 80 and 130 nm, respectively. These results agreed well with our previous work focusing on the secondary electron production and particle interaction [23,35]. In addition, it should be noted that the DER calculated in this study was only based on the energy deposited within the DNA. It was independent of the energy deposition which was self-absorbed by the GNP [23]. It can be seen from Tables 2-5 that the DER of the DNA increased from about 2.2 to 3.7 when the diameter of the GNP increased from 30-100 nm using photon beam energies of 50-200 keV. This shows that a larger GNP can lead to larger energy deposition and thus damage to the DNA.

    Table 2.Average DER of the 50 keV photon beams with different sizes of GNP, and distances between the GNP and DNA.
    DERDistance (nm)
    3080130
    Size in diameter (nm)302.32.22.2
    502.42.32.3
    1002.92.72.6
     | Show Table
    DownLoad: CSV
    Table 3.Average DER of the 100 keV photon beams with different sizes of GNP, and distances between the GNP and DNA.
    DERDistance (nm)
    3080130
    Size in diameter (nm)302.72.62.4
    502.72.62.5
    1003.13.02.8
     | Show Table
    DownLoad: CSV
    Table 4.Average DER of the 150 keV photon beams with different sizes of GNP, and distances between the GNP and DNA.
    DERDistance (nm)
    3080130
    Size in diameter (nm)302.22.22.2
    502.82.82.7
    1003.73.53.2
     | Show Table
    DownLoad: CSV
    Table 5.Average DER of the 200 keV photon beams with different sizes of GNP, and distances between the GNP and DNA.
    DERDistance (nm)
    3080130
    Size in diameter (nm)302.52.32.2
    502.72.72.6
    1003.53.43.3
     | Show Table
    DownLoad: CSV

    3.3. Dependence of the distance between the GNP and DNA on DER

    In a preclinical GNP-enhanced radiotherapy study, GNPs were delivered to the tumor of mice by injection. The uptake of GNPs is based on a natural mechanism due to the vascularization of tumors and increased permeability within the tumor vasculature because of angiogenesis [36,37]. When the GNPs are taken up by the tumor cell, some of the GNPs move inside the cell nucleus and are therefore very close to the DNA. In this study, the distance between the GNP and DNA was changed to affect the transport of secondary electrons produced from the photon-irradiated GNP. In Tables 2-5, the DER of the DNA was found only slightly increased when the distance between the GNP and DNA decreased from 130 to 30 nm. For photon beam energy of 100 keV, the DER of DNA only increased from 8% to 13% as shown in Table 3. Since the uptaken GNPs could be transported to any position inside the tumor cell nucleus, it is seen that the closer the GNP is to the DNA, the larger the dose enhancement and thus DNA damage [23]. This is because the short distance between the GNP and DNA makes the interaction of secondary electrons from the GNP more probable, causing additional double-strand breaks [38].


    3.4. Dependence of the photon beam energy on DER

    When a material of a high atomic number is introduced into a medum such as water, it is well-known that dose enhancement can be achieved by irradiating the material with kV photon beams. This dose enhancement effect is due to the large increase in photoelectric cross-section of for photon beams in the kV energy range [7]. Compared to MV photon beams, Leung et al. found that the interaction ratio of kV photon beams (50-250 kVp) from irradiated GNPs were approximately 2000-300, while for higher beam energies (MV) the ratio was approximately 10 [23]. Unlike MV photon beams, which have an adequate penetrative power to treat deep-seated tumor in patient, kV photon beams are used to treat superfical lesions, and are currently used in orthovoltage and intraoperative radiotherapy [39,40].

    In Tables 2-5, it is seen that there is no significant variation between the photon beam energy and DER in the kV photon beam range of 50-200 keV. The DER of DNA varied between 2.2 and 3.7 in that energy range with different sizes of GNP and distances between the GNP and DNA. Moreover, our Monte Carlo results are closer to the observed experimental radiosensitizations [41] when compared to the predicted dose enhancements based on the GNP concentration, source energy and mass energy attenuation coefficient [42].


    4. Conclusion

    Dose enhancement in the DNA due to GNP addition was determined at the nanometer scale using kV photon beams. It was found that kV photon beams can be enhanced by GNPs by factors of 2.2-3.7 compared to photon beams with no GNPs. From the Monte Carlo results, the largest DER was found for the 100 nm diameter GNP located 30 nm from the DNA molecule, and irradiated by a 150 keV photon beam. It is concluded that the dose enhancement of the DNA varied with the size of the GNP, distance between the GNP and DNA, and slightly varied with the photon beam energy. Future work will include photon beam energy in megavoltage range.


    Acknowledgments

    The authors would like to acknowledge the SciNet HPC Consortium in the University of Toronto for providing computing support. The authors would also like to thank Dr Léon Sanche at the Université de Sherbrooke, Quebec, Canada for providing the information about the GNP coating, and Daniel Markel at McGill University, Quebec, Canada for his comments on this manuscript.


    Conflict of Interest

    The authors have no potential conflict of interests on financial or commercial matters associated with this study.


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    2. Stefano Martelli, James C L Chow, Dose Enhancement for the Flattening-Filter-Free and Flattening-Filter Photon Beams in Nanoparticle-Enhanced Radiotherapy: A Monte Carlo Phantom Study, 2020, 10, 2079-4991, 637, 10.3390/nano10040637
    3. Floriane Poignant, Caterina Monini, Étienne Testa, Michaël Beuve, Influence of gold nanoparticles embedded in water on nanodosimetry for keV photon irradiation, 2021, 0094-2405, 10.1002/mp.14576
    4. Ali Khodadadi, Hassan A. Nedaie, Mahdi Sadeghi, Mohammad R. Ghassemi, Asghar Mesbahi, Nooshin Banaee, Determination of the dose enhancement exclusively in tumor tissue due to the presence of GNPs, 2019, 145, 09698043, 39, 10.1016/j.apradiso.2018.11.013
    5. James C. L. Chow, Depth Dose Enhancement on Flattening-Filter-Free Photon Beam: A Monte Carlo Study in Nanoparticle-Enhanced Radiotherapy, 2020, 10, 2076-3417, 7052, 10.3390/app10207052
    6. Ting Guo, 2018, Chapter 8, 978-3-319-78002-3, 269, 10.1007/978-3-319-78004-7_8
    7. James Chun Lam Chow, 2020, Chapter 2-1, 978-3-030-11155-7, 1, 10.1007/978-3-030-11155-7_2-1
    8. F. Moradi, Kh Rezaee Ebrahim Saraee, S.F. Abdul Sani, D.A. Bradley, Metallic nanoparticle radiosensitization: The role of Monte Carlo simulations towards progress, 2021, 180, 0969806X, 109294, 10.1016/j.radphyschem.2020.109294
    9. James C. L. Chow, Recent progress in Monte Carlo simulation on gold nanoparticle radiosensitization, 2018, 5, 2377-9098, 231, 10.3934/biophy.2018.4.231
    10. Donglin Xia, Daming Hang, Yuanyuan Li, Wei Jiang, Jianfeng Zhu, Yin Ding, Haiying Gu, Yong Hu, Au–Hemoglobin Loaded Platelet Alleviating Tumor Hypoxia and Enhancing the Radiotherapy Effect with Low-Dose X-ray, 2020, 14, 1936-0851, 15654, 10.1021/acsnano.0c06541
    11. James C.L. Chow, 2017, 9780323461443, 383, 10.1016/B978-0-323-46144-3.00015-5
    12. Dewmini Mututantri-Bastiyange, James C. L. Chow, Imaging dose of cone-beam computed tomography in nanoparticle-enhanced image-guided radiotherapy: A Monte Carlo phantom study, 2020, 7, 2375-1495, 1, 10.3934/bioeng.2020001
    13. Esam Bashir Yahya, Amaal Mohammed Alqadhi, Recent trends in cancer therapy: A review on the current state of gene delivery, 2021, 269, 00243205, 119087, 10.1016/j.lfs.2021.119087
    14. Sarkar Siddique, James C. L. Chow, Application of Nanomaterials in Biomedical Imaging and Cancer Therapy, 2020, 10, 2079-4991, 1700, 10.3390/nano10091700
    15. James Chun Lam Chow, 2017, Chapter 111-1, 978-3-319-48281-1, 1, 10.1007/978-3-319-48281-1_111-1
    16. Myriam Laprise-Pelletier, Teresa Simão, Marc-André Fortin, Gold Nanoparticles in Radiotherapy and Recent Progress in Nanobrachytherapy, 2018, 7, 21922640, 1701460, 10.1002/adhm.201701460
    17. Elena Vlastou, Stefanos Diamantopoulos, Efstathios P. Efstathopoulos, Monte Carlo studies in Gold Nanoparticles enhanced radiotherapy: The impact of modelled parameters in dose enhancement, 2020, 80, 11201797, 57, 10.1016/j.ejmp.2020.09.022
    18. Slobodan Milutinović, Miloš Vujisić, Simulation-based correction of dose enhancement factor values in photon brachytherapy with metal nanoparticle targeting, 2020, 31, 1001-8042, 10.1007/s41365-020-00820-8
    19. James Chun Lam Chow, 2021, 9780128231524, 193, 10.1016/B978-0-12-823152-4.00001-6
    20. James C.L. Chow, Computer method and modeling: Medical biophysics applications in cancer therapy, medical imaging and drug delivery, 2021, 8, 2377-9098, 233, 10.3934/biophy.2021017
    21. Sugumari Vallinayagam, Karthikeyan Rajendran, 2021, Chapter 16, 978-3-030-67222-5, 339, 10.1007/978-3-030-67223-2_16
    22. Zaynah Sheeraz, James C.L. Chow, Evaluation of dose enhancement with gold nanoparticles in kilovoltage radiotherapy using the new EGS geometry library in Monte Carlo simulation, 2021, 8, 2377-9098, 337, 10.3934/biophy.2021027
    23. Ngoc Han Huynh, James C. L. Chow, DNA Dosimetry with Gold Nanoparticle Irradiated by Proton Beams: A Monte Carlo Study on Dose Enhancement, 2021, 11, 2076-3417, 10856, 10.3390/app112210856
    24. Zakia Akter, Fabiha Zaheen Khan, Md. Asaduzzaman Khan, Gold Nanoparticles in Triple-Negative Breast Cancer Therapeutics, 2023, 30, 09298673, 316, 10.2174/0929867328666210902141257
    25. Afia Sadiq, James C. L. Chow, Evaluation of Dosimetric Effect of Bone Scatter on Nanoparticle-Enhanced Orthovoltage Radiotherapy: A Monte Carlo Phantom Study, 2022, 12, 2079-4991, 2991, 10.3390/nano12172991
    26. Xiaoyu Song, Zhenkun Sun, Li Li, Lu Zhou, Shuanghu Yuan, Application of nanomedicine in radiotherapy sensitization, 2023, 13, 2234-943X, 10.3389/fonc.2023.1088878
    27. James Chun Lam Chow, 2022, 9780128228197, 291, 10.1016/B978-0-12-822819-7.00002-8
    28. Yu Chen, Kaikai Wang, Feng Chen, Shuquan Chang, Haiqian Zhang, Response of HPRT Gene Fragment Functionalized Gold Nanoparticles to Gamma Ray Irradiation, 2021, 37, 0910-6340, 309, 10.2116/analsci.20P248
    29. Safikur Rahman, Vijay Kumar, Anuj Kumar, Tasduq S. Abdullah, Irfan A. Rather, Arif Tasleem Jan, Molecular Perspective of Nanoparticle Mediated Therapeutic Targeting in Breast Cancer: An Odyssey of Endoplasmic Reticulum Unfolded Protein Response (UPRER) and Beyond, 2021, 9, 2227-9059, 635, 10.3390/biomedicines9060635
    30. Armando Spina, James C. L. Chow, Dosimetric Impact on the Flattening Filter and Addition of Gold Nanoparticles in Radiotherapy: A Monte Carlo Study on Depth Dose Using the 6 and 10 MV FFF Photon Beams, 2022, 15, 1996-1944, 7194, 10.3390/ma15207194
    31. Mehwish Jabeen, James C. L. Chow, Gold Nanoparticle DNA Damage by Photon Beam in a Magnetic Field: A Monte Carlo Study, 2021, 11, 2079-4991, 1751, 10.3390/nano11071751
    32. James Chun Lam Chow, 2021, Chapter 2, 978-3-030-36267-6, 2989, 10.1007/978-3-030-36268-3_2
    33. James Chun Lam Chow, 2021, 9780128224151, 281, 10.1016/B978-0-12-822415-1.00014-7
    34. Gilnaz Omyan, Somayeh Gholami, Abbas Ghasemi Zad, Mara Severgnini, Francesco Longo, Faraz Kalantari, Monte Carlo simulation and analytical calculation methods to investigate the potential of nanoparticles for INTRABEAM® IORT machine, 2020, 30, 15499634, 102288, 10.1016/j.nano.2020.102288
    35. Sikandar Shaikh, 2022, Chapter 12, 978-981-16-9534-6, 147, 10.1007/978-981-16-9535-3_12
    36. Christine A. Santiago, James C. L. Chow, Variations in Gold Nanoparticle Size on DNA Damage: A Monte Carlo Study Based on a Multiple-Particle Model Using Electron Beams, 2023, 13, 2076-3417, 4916, 10.3390/app13084916
    37. James C. L. Chow, 2024, Chapter 7, 978-981-97-0220-6, 177, 10.1007/978-981-97-0221-3_7
    38. James C. L. Chow, Harry E. Ruda, Mechanisms of Action in FLASH Radiotherapy: A Comprehensive Review of Physicochemical and Biological Processes on Cancerous and Normal Cells, 2024, 13, 2073-4409, 835, 10.3390/cells13100835
    39. Mehran Mohseni, Arezoo Kazemzadeh, Nafiseh Ataei, Habiballah Moradi, Akbar Aliasgharzadeh, Bagher Farhood, Study on the dose enhancement of gold nanoparticles when exposed to clinical electron, proton, and alpha particle beams by means of Geant4, 2020, 10, 2228-7477, 286, 10.4103/jmss.JMSS_58_19
    40. Ali Taheri, Mayeen Uddin Khandaker, Farhad Moradi, David Andrew Bradley, A review of recent advances in the modeling of nanoparticle radiosensitization with the Geant4-DNA toolkit, 2023, 212, 0969806X, 111146, 10.1016/j.radphyschem.2023.111146
    41. Adil Bardane, Nabil Maalej, El Mahjoub Chakir, El Mehdi Al Ibrahmi, Gold nanoparticle effect on dose and DNA damage enhancement in the vicinity of gold nanoparticles, 2024, 3, 27731839, 100126, 10.1016/j.nucana.2024.100126
    42. Fatemeh S. Rasouli, S. Farhad Masoudi, A simulation study on the effect of penetration of gold nanoparticles in the cytoplasm of healthy eye organs on dose enhancement of brachytherapy, 2024, 100, 0955-3002, 1462, 10.1080/09553002.2024.2381496
    43. Muhammad Arif, Ayesha Fazal Nawaz, Shahid Ullah khan, Hasnat Mueen, Fizza Rashid, Hassan A. Hemeg, Abdur Rauf, Nanotechnology-based radiation therapy to cure cancer and the challenges in its clinical applications, 2023, 9, 24058440, e17252, 10.1016/j.heliyon.2023.e17252
    44. Joanna Depciuch, Paweł Jakubczyk, Dorota Jakubczyk, Bartosz Klebowski, Justyna Miszczyk, Magdalena Parlinska‐Wojtan, Modeling Absorption Dynamics of Differently Shaped Gold Glioblastoma and Colon Cells Based on Refractive Index Distribution in Holotomographic Imaging, 2024, 1613-6810, 10.1002/smll.202400778
    45. Paul T. Lawrence, Avery S. Daniels, Allison J. Tierney, E. Charles H. Sykes, Charles R. Mace, Ligand Shell Thickness of PEGylated Gold Nanoparticles Controls Cellular Uptake and Radiation Enhancement, 2024, 2470-1343, 10.1021/acsomega.4c06568
    46. Joana Antunes, Catarina I G Pinto, Maria Paula Cabral Campello, Pedro Santos, Filipa Mendes, António Paulo, Jorge M Sampaio, Utility of realistic microscopy-based cell models in simulation studies of nanoparticle-enhanced photon radiotherapy, 2024, 10, 2057-1976, 025015, 10.1088/2057-1976/ad2020
    47. Zi Fu, Kun Li, Han Wang, Yuhan Li, Jian Zhang, Jingwei Zhou, Jiajia Hu, Dong Xie, Dalong Ni, Spectral computed tomography-guided radiotherapy of osteosarcoma utilizing BiOI nanosheets, 2023, 166, 17427061, 615, 10.1016/j.actbio.2023.05.026
    48. Ali Taheri, Mayeen Uddin Khandaker, Farhad Moradi, David Andrew Bradley, A simulation study on the radiosensitization properties of gold nanorods, 2024, 0031-9155, 10.1088/1361-6560/ad2380
    49. Amrit Kaphle, Sandun Jayarathna, Sunil Krishnan, Sang Hyun Cho, Monte Carlo study of gold nanoparticle‐mediated radiosensitization effects using nanoscale cell model combined with fractal‐based DNA model, 2025, 0094-2405, 10.1002/mp.17676
    50. L.F. Araujo, T.C.F. Fonseca, In silico Monte Carlo with novel particle tagging: Assessing gold radiosensitivity in voxelized scenario of brachytherapy, 2025, 220, 09698043, 111745, 10.1016/j.apradiso.2025.111745
    51. James C. L. Chow, 2025, Chapter 7, 978-981-96-1123-2, 147, 10.1007/978-981-96-1124-9_7
    52. Christopher C. Perry, Reinhard W. Schulte, Ryan N. Fuller, Nathan R. Wall, Kevin E. Nick, Magdalena Wegrzyn, Jamie R. Milligan, Integrating gold nanostars into condensed DNA, 2025, 03044165, 130793, 10.1016/j.bbagen.2025.130793
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