Article

Evidence of extranuclear cell sensitivity to alpha-particle radiation using a microdosimetric model. I. Presentation and validation of a microdosimetric model.

Inserm, U892, Nantes, F-44093 France.
Radiation Research (Impact Factor: 2.45). 07/2009; 171(6):657-63. DOI: 10.1667/RR1371.1
Source: PubMed

ABSTRACT A microdosimetric model that makes it possible to consider the numerous biological and physical parameters of cellular alpha-particle irradiation by radiolabeled mAbs was developed. It allows for the calculation of single-hit and multi-hit distributions of specific energy within a cell nucleus or a whole cell in any irradiation configuration. Cells are considered either to be isolated or to be packed in a monolayer or a spheroid. The method of calculating energy deposits is analytical and is based on the continuous-slowing-down approximation. A model of cell survival, calculated from the microdosimetric spectra and the microdosimetric radiosensitivity, z(0), was also developed. The algorithm of calculations was validated by comparison with two general Monte Carlo codes: MCNPX and Geant4. Microdosimetric spectra determined by these three codes showed good agreement for numerous geometrical configurations. The analytical method was far more efficient in terms of calculation time: A gain of more than 1000 was observed when using our model compared with Monte Carlo calculations. Good agreements were also observed with previously published results.

0 Bookmarks
 · 
122 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Radiopharmaceutical therapy (RPT) involves the use of radionuclides that are either conjugated to tumor-targeting agents (e.g., nanoscale constructs, antibodies, peptides, and small molecules) or concentrated in tissue through natural physiological mechanisms that occur predominantly in neoplastic or otherwise targeted cells (e.g., Graves disease). The ability to collect pharmacokinetic data by imaging and use this to perform dosimetry calculations for treatment planning distinguishes RPT from other systemic treatment modalities such as chemotherapy, wherein imaging is not generally used. Treatment planning has not been widely adopted, in part, because early attempts to relate dosimetry to outcome were not successful. This was partially because a dosimetry methodology appropriate to risk evaluation rather than efficacy and toxicity was being applied to RPT. The weakest links in both diagnostic and therapeutic dosimetry are the accuracy of the input and the reliability of the radiobiological models used to convert dosimetric data to the relevant biologic end points. Dosimetry for RPT places a greater demand on both of these weak links. To date, most dosimetric studies have been retrospective, with a focus on tumor dose-response correlations rather than prospective treatment planning. In this regard, transarterial radioembolization also known as intra-arterial radiation therapy, which uses radiolabeled ((90)Y) microspheres of glass or resin to treat lesions in the liver holds much promise for more widespread dosimetric treatment planning. The recent interest in RPT with alpha-particle emitters has highlighted the need to adopt a dosimetry methodology that specifically accounts for the unique aspects of alpha particles. The short range of alpha-particle emitters means that in cases in which the distribution of activity is localized to specific functional components or cell types of an organ, the absorbed dose will be equally localized and dosimetric calculations on the scale of organs or even voxels (~5mm) are no longer sufficient. This limitation may be overcome by using preclinical models to implement macromodeling to micromodeling. In contrast to chemotherapy, RPT offers the possibility of evaluating radiopharmaceutical distributions, calculating tumor and normal tissue absorbed doses, and devising a treatment plan that is optimal for a specific patient or specific group of patients.
    Seminars in nuclear medicine 05/2014; 44(3):172-178. · 3.96 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Multiple myeloma (MM) is a B-cell malignancy of terminally differentiated plasma cells within the bone marrow. Despite intense research to develop new treatments, cure is almost never achieved. Alpha-radioimmunotherapy (RIT) has been shown to be effective in vivo in a MM model. In order to define where alpha-RIT stands in MM treatment, the aim of this study was to compare Melphalan, MM standard treatment, with alpha-RIT using a [213Bi]-anti-mCD138 antibody in a syngeneic MM mouse model. C57BL/KaLwRij mice were grafted with 1×10(6) 5T33 murine MM cells. Luciferase transfected 5T33 cells were used for in vivo localization. The first step of the study was to assess the dose-response of Melphalan 21days after engraftment. The second step consisted in therapeutic combination: Melphalan followed by RIT at day 22 or day 25 after engraftment. Toxicity (animal weight, blood cell counts) and treatment efficacy were studied in animals receiving no treatment, injected with Melphalan alone, RIT alone at day 22 or day 25 (3.7MBq of [213Bi]-anti-CD138) and Melphalan combined with alpha-RIT. Fifty percent of untreated mice died by day 63 after MM engraftment. In mice treated with Melphalan alone, only the 200μg dose improved median survival. No animal was cured after Melphalan treatment whereas 60% of the mice survived with RIT alone at day 22 after tumor engraftment with only slight and reversible hematological radiotoxicity. No therapeutic effect was observed with alpha-RIT 25days after engraftment. Melphalan and alpha-RIT combination does not improve overall survival compared to RIT alone, and results in increased leukocyte and red blood cell toxicity. Alpha-RIT seems to be a good alternative to Melphalan. Association of these two treatments provides no benefit. The perspectives of this work would be to evaluate RIT impact on the regimens incorporating the novel agents bortezomide, thalidomide and lenalidomide.
    Nuclear Medicine and Biology 05/2014; 41S:e30-e35. · 2.41 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Alpha-particle radiopharmaceutical therapy (αRPT) is currently enjoying increasing attention as a viable alternative to chemotherapy for targeting of disseminated micrometastatic disease. In theory, αRPT can be personalized through pre-therapeutic imaging and dosimetry. However, in practice, given the particularities of α-particle emissions, a dosimetric methodology that accurately predicts the thresholds for organ toxicity has not been reported. This is in part due to the fact that the biological effects caused by α-particle radiation differ markedly from the effects caused by traditional external beam (photon or electron) radiation or β-particle emitting radiopharmaceuticals. The concept of relative biological effectiveness (RBE) is used to quantify the ratio of absorbed doses required to achieve a given biological response with alpha particles versus a reference radiation (typically a beta emitter or external beam radiation). However, as conventionally defined, the RBE varies as a function of absorbed dose and therefore a single RBE value is limited in its utility because it cannot be used to predict response over a wide range of absorbed doses. Therefore, efforts are underway to standardize bioeffect modeling for different fractionation schemes and dose rates for both nuclear medicine and external beam radiotherapy. Given the preponderant use of external beams of radiation compared to nuclear medicine in cancer therapy, the more clinically relevant quantity, the 2 Gy equieffective dose, EQD2(α/β), has recently been proposed by the ICRU. In concert with EQD2(α/β), we introduce a new, redefined RBE quantity, named RBE2(α/β), as the ratio of the two linear coefficients that characterize the α particle absorbed dose-response curve and the low-LET megavoltage photon 2 Gy fraction equieffective dose-response curve. The theoretical framework for the proposed new formalism is presented along with its application to experimental data obtained from irradiation of a breast cancer cell line. Radiobiological parameters are obtained using the linear quadratic model to fit cell survival data for MDA-MB-231 human breast cancer cells that were irradiated with either α particles or a single fraction of low-LET (137)Cs γ rays. From these, the linear coefficient for both the biologically effective dose (BED) and the EQD2(α/β) response lines were derived for fractionated irradiation. The standard RBE calculation, using the traditional single fraction reference radiation, gave RBE values that ranged from 2.4 for a surviving fraction of 0.82-6.0 for a surviving fraction of 0.02, while the dose-independent RBE2(4.6) value was 4.5 for all surviving fraction values. Furthermore, bioeffect modeling with RBE2(α/β) and EQD2(α/β) demonstrated the capacity to predict the surviving fraction of cells irradiated with acute and fractionated low-LET radiation, α particles and chronic exponentially decreasing dose rates of low-LET radiation. RBE2(α/β) is independent of absorbed dose for α-particle emitters and it provides a more logical framework for data reporting and conversion to equieffective dose than the conventional dose-dependent definition of RBE. Moreover, it provides a much needed foundation for the ongoing development of an α-particle dosimetry paradigm and will facilitate the use of tolerance dose data available from external beam radiation therapy, thereby helping to develop αRPT as a single modality as well as for combination therapies.
    Radiation Research 01/2014; 181(1):90-8. · 2.70 Impact Factor

Full-text (2 Sources)

Download
62 Downloads
Available from
Jun 1, 2014