Literature DB >> 32303013

Monte Carlo track-structure for the radionuclide Copper-64: characterization of S-values, nanodosimetry and quantification of direct damage to DNA.

J Carrasco-Hernández1, J Ramos-Méndez, B Faddegon, A R Jalilian, M Moranchel, M A Ávila-Rodríguez.   

Abstract

TOPAS-nBio was used to simulate, collision-to-collision, the complete trajectories of electrons in water generated during the explicit simulation of 64Cu decay. S-values and direct damage to the DNA were calculated representing the cell (C) and the cell nucleus (N) with concentric spheres of 5 μm and 4 μm in radius, respectively. The considered 'target'←'source' configurations, including the cell surface (Cs) and cytoplasm (Cy), were: C←C, C←Cs, N←N, N←Cy and N←Cs. Ionization cluster size distributions were also calculated in a cylinder immersed in water corresponding to a DNA segment of 10 base-pairs in length (diameter 2.3 nm, length 3.4 nm), modeling a radioactive point source moving from the central axis to the edge of the cylinder. For that, the first moment (M1) and cumulative probability of having a cluster size of 2 or more ionizations in the cylindrical volume (F2) were obtained. Finally, the direct damage to the DNA was estimated by quantifying double-strand breaks (DSBs) using the clustering algorithm DBSCAN. The S-values obtained with TOPAS-nBio for 64Cu were 7.879 × 10-4 ± 5 × 10-7, 4.351 × 10-4 ± 6 × 10-7, 1.442 × 10-3 ± 1 × 10-6, 2.596 × 10-4 ± 8 × 10-7, 1.127 × 10-4 ± 4 × 10-7 Gy Bq-s-1 for the configurations C←C, C←Cs, N←N, N←Cy and N←Cs, respectively. The difference of these values, compared with previously reported S-values for 64Cu with the code MNCP and software MIRDCell, ranged from -4% to -25% for the configurations N←N and N←Cs, respectively. On the other hand, F2 was maximum with the source at the center of the cylinder 0.373 ± 0.001, and monotonically decreased until reaching a value of 0.058 ± 0.001 at 2.3 nm. The same behavior was observed for M1 with values ranging from 2.188 ± 0.004 to 0.242 ± 0.002. Finally, the DBSCAN algorithm showed that the mean number of DNA DSBs per decay were 0.187 ± 0.001, 0.0317 ± 0.0005, and 0.0125 ± 0.0002 DSB-(Bq-s)-1 for the configurations N←N, N←Cs, and N←Cy, respectively. In conclusion, the results of the S-values show that the absorbed dose strongly depends on the distribution of the radionuclide in the cell, the dose being higher when 64Cu is internalized in the cell nucleus, which is reinforced by the nanodosimetric study by the presence of DNA DSBs attributable to the Auger electrons emitted during the decay of 64Cu.

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Year:  2020        PMID: 32303013      PMCID: PMC7757752          DOI: 10.1088/1361-6560/ab8aaa

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  37 in total

1.  hCTR1: a human gene for copper uptake identified by complementation in yeast.

Authors:  B Zhou; J Gitschier
Journal:  Proc Natl Acad Sci U S A       Date:  1997-07-08       Impact factor: 11.205

2.  New descriptors of radiation quality based on nanodosimetry, a first approach.

Authors:  B Grosswendt; S Pszona; A Bantsar
Journal:  Radiat Prot Dosimetry       Date:  2007-05-12       Impact factor: 0.972

3.  Auger-electron spectra of radionuclides for therapy and diagnostics.

Authors:  J Stepanek; B Larsson; R Weinreich
Journal:  Acta Oncol       Date:  1996       Impact factor: 4.089

4.  MIRD pamphlet No. 25: MIRDcell V2.0 software tool for dosimetric analysis of biologic response of multicellular populations.

Authors:  Behrooz Vaziri; Han Wu; Atam P Dhawan; Peicheng Du; Roger W Howell
Journal:  J Nucl Med       Date:  2014-07-10       Impact factor: 10.057

5.  Roles of Atox1 and p53 in the trafficking of copper-64 to tumor cell nuclei: implications for cancer therapy.

Authors:  Wissam Beaino; Yunjun Guo; Albert J Chang; Carolyn J Anderson
Journal:  J Biol Inorg Chem       Date:  2014-01-21       Impact factor: 3.358

Review 6.  Dosimetry of Auger-electron-emitting radionuclides: report no. 3 of AAPM Nuclear Medicine Task Group No. 6.

Authors:  J L Humm; R W Howell; D V Rao
Journal:  Med Phys       Date:  1994-12       Impact factor: 4.071

7.  Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.

Authors:  Aimee L McNamara; José Ramos-Méndez; Joseph Perl; Kathryn Held; Naoki Dominguez; Eduardo Moreno; Nicholas T Henthorn; Karen J Kirkby; Sylvain Meylan; Carmen Villagrasa; Sebastien Incerti; Bruce Faddegon; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2018-09-06       Impact factor: 3.609

Review 8.  Targeting the nucleus: an overview of Auger-electron radionuclide therapy.

Authors:  Bart Cornelissen; Katherine A Vallis
Journal:  Curr Drug Discov Technol       Date:  2010-12

9.  Biokinetic and dosimetric aspects of 64CuCl2 in human prostate cancer: possible theranostic implications.

Authors:  Sergio Righi; Martina Ugolini; Gianluca Bottoni; Matteo Puntoni; Massimiliano Iacozzi; Francesco Paparo; Manlio Cabria; Luca Ceriani; Monica Gambaro; Luca Giovanella; Arnoldo Piccardo
Journal:  EJNMMI Res       Date:  2018-03-01       Impact factor: 3.138

10.  Copper-64 Dichloride as Theranostic Agent for Glioblastoma Multiforme: A Preclinical Study.

Authors:  Cristina Ferrari; Artor Niccoli Asabella; Carlo Villano; Beatrice Giacobbi; Daniela Coccetti; Paola Panichelli; Giuseppe Rubini
Journal:  Biomed Res Int       Date:  2015-11-16       Impact factor: 3.411

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  2 in total

1.  Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation.

Authors:  Tamon Kusumoto; Kentaro Baba; Sumitaka Hasegawa; Quentin Raffy; Satoshi Kodaira
Journal:  Sci Rep       Date:  2022-05-27       Impact factor: 4.996

2.  Modeling Early Radiation DNA Damage Occurring During 177Lu-DOTATATE Radionuclide Therapy.

Authors:  Giulia Tamborino; Yann Perrot; Marijke De Saint-Hubert; Lara Struelens; Julie Nonnekens; Marion De Jong; Mark W Konijnenberg; Carmen Villagrasa
Journal:  J Nucl Med       Date:  2021-09-09       Impact factor: 11.082

  2 in total

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