Radiosensitisation by nanoparticles in Proton therapy

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Radiosensitisation by nanoparticles in Proton therapy Reem Ahmad, Kate Ricketts, Gary Royle Dept of medical physics and bioengineering, University College London UCL Division of Surgery and Interventional Science, Royal Free Hospital

Justification High Z materials shown to create a radiosensitisation effect in x-ray radiotherapy Discrepancies between the Monte Carlo predicted dose enhancement and what was observed experimentally Mechanisms not fully understood Butterworth et al. Physical basis and biological mechanisms of gold nanoparticle radiosensitization, Nanoscale 2012;4:4830 4838.

Perfect nanoparticle Highest cross-section Non-toxic High uptake Produces many secondary electrons Schroeder et al. Treating metastatic cancer with nanotechnology, Nature Reviews Cancer 2012;12: 39--50 https://www.vet.purdue.edu/cpr/nanotechnology3.html

Mechanisms of dose enhancement Physical Secondary electrons Biological Cell cycle effects Nanotoxicity Double strand breaks Butterworth et al. Physical basis and biological mechanisms of gold nanoparticle radiosensitization, Nanoscale 2012;4:4830 4838.

Nanoparticle size Factors to consider: Biological uptake Clearance pathways Nanotoxicity Jain et al. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy, Science 2005: 58-62

Location of nanoparticles Cytoplasm Typical size of a cell is around 10 micrometres Using data of secondary particle tracklengths to determine the optimum location for the nanoparticles Nucleus May need to localise the NPs within the nucleus to cause damage to the DNA Nanoparticle

Gold nanoparticles in a cell Microscopy image showing passive uptake of gold nanoparticles in a mouse endothelial cell (left) and a colorectal cancer cell (right) Images from Kate Ricketts - Dept of medical physics and bioengineering, University College London

Monte Carlo simulations using Geant4 to choose the optimum material for the nanoparticle Simple geometry of a sphere in a box of water Needed to identify a suitable material for protons Used a bulk of material rather than a nanoparticle Ran simulations with platinum, gold and silver Used a proton beam of 62 MeV for 100,000 incident protons

Number of particles Number of particles Number of particles The low energy secondary particles are mainly electrons We want a lot of electrons as these give a dose All 3 materials had the majority of secondary particles with an energy below 200 KeV 1000000 Histogram of secondary particle energy - Gold 100000 10000 1000 100 10 1 1000000 100000 Histogram of secondary particle energy - Silver 10000 1000 100 10 1 1000000 100000 10000 1000 100 10 1 Energy (MeV) Produced 202,810 secondary particles Histogram of secondary particle energy - Platinum Energy (MeV) Produced 203,463 secondary particles Energy (MeV) Produced 203,344 secondary particles

e- Proton Gamma O16 Alpha Neutron C12 O15 Deuteron O17 N14 B10 B11 He3 C11 C13 e+ N15 F17 Triton O18 N13 N17 Au198 Au197 Au196 Au195 Au194 Number of particles Prediction of where to place the nanoparticles The majority of the particles were electrons with an energy of approximately 200 KeV Using this information we can predict how far the electrons would travel 1000000 100000 10000 1000 100 10 Graph showing the different secondary particles - Gold 1 Secondary particles

Future Work Determine the optimum location for the nanoparticles Expand the Monte Carlo simulations to consider the nanodosimetric effects Use nanoparticles as part of a bio-phantom Investigate the biological mechanisms that contribute to nanoparticle dose enhancement

Thank you Questions?