Literature DB >> 33291477

Mapping the Relative Biological Effectiveness of Proton, Helium and Carbon Ions with High-Throughput Techniques.

Lawrence Bronk1,2,3, Fada Guan3, Darshana Patel3, Duo Ma3, Benjamin Kroger1, Xiaochun Wang3, Kevin Tran1, Joycelyn Yiu1, Clifford Stephan4, Jürgen Debus5, Amir Abdollahi5,6, Oliver Jäkel5,6, Radhe Mohan3, Uwe Titt3, David R Grosshans1,2.   

Abstract

Large amounts of high quality biophysical data are needed to improve current biological effects models but such data are lacking and difficult to obtain. The present study aimed to more efficiently measure the spatial distribution of relative biological effectiveness (RBE) of charged particle beams using a novel high-accuracy and high-throughput experimental platform. Clonogenic survival was selected as the biological endpoint for two lung cancer cell lines, H460 and H1437, irradiated with protons, carbon, and helium ions. Ion-specific multi-step microplate holders were fabricated such that each column of a 96-well microplate is spatially situated at a different location along a particle beam path. Dose, dose-averaged linear energy transfer (LETd), and dose-mean lineal energy (yd) were calculated using an experimentally validated Geant4-based Monte Carlo system. Cells were irradiated at the Heidelberg Ion Beam Therapy Center (HIT). The experimental results showed that the clonogenic survival curves of all tested ions were yd-dependent. Both helium and carbon ions achieved maximum RBEs within specific yd ranges before biological efficacy declined, indicating an overkill effect. For protons, no overkill was observed, but RBE increased distal to the Bragg peak. Measured RBE profiles strongly depend on the physical characteristics such as yd and are ion specific.

Entities:  

Keywords:  charged particle therapy; high-throughput techniques; lung cancer cells; relative biological effectiveness

Year:  2020        PMID: 33291477      PMCID: PMC7762185          DOI: 10.3390/cancers12123658

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  49 in total

1.  Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization.

Authors:  M Krämer; O Jäkel; T Haberer; G Kraft; D Schardt; U Weber
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

2.  A mechanism-based approach to predict the relative biological effectiveness of protons and carbon ions in radiation therapy.

Authors:  Malte C Frese; Victor K Yu; Robert D Stewart; David J Carlson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-11-16       Impact factor: 7.038

3.  Biological gain of carbon-ion radiotherapy for the early response of tumor growth delay and against early response of skin reaction in mice.

Authors:  Koichi Ando; Sachiko Koike; Akiko Uzawa; Nobuhiko Takai; Takeshi Fukawa; Yoshiya Furusawa; Mizuho Aoki; Yasuyuki Miyato
Journal:  J Radiat Res       Date:  2005-03       Impact factor: 2.724

Review 4.  Roadmap for metal nanoparticles in radiation therapy: current status, translational challenges, and future directions.

Authors:  Jan Schuemann; Alexander F Bagley; Ross Berbeco; Kyle Bromma; Karl T Butterworth; Hilary L Byrne; B Devika Chithrani; Sang Hyun Cho; Jason R Cook; Vincent Favaudon; Yaser H Gholami; Elisabetta Gargioni; James F Hainfeld; Félicien Hespeels; Anne-Catherine Heuskin; Udoka M Ibeh; Zdenka Kuncic; Sijumon Kunjachan; Sandrine Lacombe; Stéphane Lucas; François Lux; Stephen McMahon; Dmitry Nevozhay; Wilfred Ngwa; J Donald Payne; Sébastien Penninckx; Erika Porcel; Kevin M Prise; Hans Rabus; Sharif M Ridwan; Benedikt Rudek; Léon Sanche; Bijay Singh; Henry M Smilowitz; Konstantin V Sokolov; Srinivas Sridhar; Yaroslav Stanishevskiy; Wonmo Sung; Olivier Tillement; Needa Virani; Wassana Yantasee; Sunil Krishnan
Journal:  Phys Med Biol       Date:  2020-10-22       Impact factor: 3.609

5.  Particle irradiation suppresses metastatic potential of cancer cells.

Authors:  Toshiyuki Ogata; Teruki Teshima; Kazufumi Kagawa; Yoshio Hishikawa; Yutaka Takahashi; Atsuko Kawaguchi; Yuko Suzumoto; Kumie Nojima; Yoshiya Furusawa; Nariaki Matsuura
Journal:  Cancer Res       Date:  2005-01-01       Impact factor: 12.701

6.  BNCT for advanced or recurrent head and neck cancer.

Authors:  Teruhito Aihara; Norimasa Morita; Nobuhiko Kamitani; Hiroaki Kumada; Koji Ono; Junichi Hiratsuka; Tamotsu Harada
Journal:  Appl Radiat Isot       Date:  2014-04-21       Impact factor: 1.513

Review 7.  Impact of Particle Irradiation on the Immune System: From the Clinic to Mars.

Authors:  Rodrigo Fernandez-Gonzalo; Sarah Baatout; Marjan Moreels
Journal:  Front Immunol       Date:  2017-02-22       Impact factor: 7.561

8.  Microdosimetry of a therapeutic proton beam with a mini-TEPC and a MicroPlus-Bridge detector for RBE assessment.

Authors:  V Conte; S Agosteo; A Bianchi; D Bolst; D Bortot; R Catalano; G A P Cirrone; P Colautti; G Cuttone; S Guatelli; B James; D Mazzucconi; A B Rosenfeld; A Selva; L Tran; G Petringa
Journal:  Phys Med Biol       Date:  2020-12-22       Impact factor: 3.609

9.  Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation.

Authors:  Thomas Friedrich; Uwe Scholz; Thilo Elsässer; Marco Durante; Michael Scholz
Journal:  J Radiat Res       Date:  2012-12-23       Impact factor: 2.724

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  1 in total

1.  Radiotherapy in the Management of Pediatric and Adult Osteosarcomas: A Multi-Institutional Cohort Analysis.

Authors:  Mateusz Jacek Spałek; Jan Poleszczuk; Anna Małgorzata Czarnecka; Monika Dudzisz-Śledź; Aleksandra Napieralska; Jacek Matysiakiewicz; Marzanna Chojnacka; Anna Raciborska; Aleksandra Sztuder; Adam Maciejczyk; Agata Szulc; Tomasz Skóra; Bożena Cybulska-Stopa; Tomasz Winiecki; Joanna Kaźmierska; Bartłomiej Tomasik; Jacek Fijuth; Piotr Rutkowski
Journal:  Cells       Date:  2021-02-10       Impact factor: 6.600

  1 in total

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