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Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability

The spatial distribution of radiopharmaceuticals that emit short-range high linear-energy-transfer electrons greatly affects absorbed dose and biological effectiveness. The purpose of this study was to investigate the effect of heterogeneous radionuclide distribution on tumor control probability (TC...

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Autores principales: Falzone, Nadia, Lee, Boon Quan, Able, Sarah, Malcolm, Javian, Terry, Samantha, Alayed, Yasir, Vallis, Katherine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Nuclear Medicine 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330061/
https://www.ncbi.nlm.nih.gov/pubmed/29959216
http://dx.doi.org/10.2967/jnumed.117.207308
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author Falzone, Nadia
Lee, Boon Quan
Able, Sarah
Malcolm, Javian
Terry, Samantha
Alayed, Yasir
Vallis, Katherine A.
author_facet Falzone, Nadia
Lee, Boon Quan
Able, Sarah
Malcolm, Javian
Terry, Samantha
Alayed, Yasir
Vallis, Katherine A.
author_sort Falzone, Nadia
collection PubMed
description The spatial distribution of radiopharmaceuticals that emit short-range high linear-energy-transfer electrons greatly affects absorbed dose and biological effectiveness. The purpose of this study was to investigate the effect of heterogeneous radionuclide distribution on tumor control probability (TCP) in a micrometastasis model. Methods: The cancer cell lines MDA-MB-468, SQ20B, and 231-H2N were grown as spheroids to represent micrometastases. The intracellular distribution of a representative radiopeptide ((111)In-labeled epidermal growth factor) and radioimmunotherapeutic ((111)In-labeled trastuzumab) was determined in cell internalization experiments. The intratumoral distribution was evaluated by microautoradiography of spheroids. γH2AX staining was performed on spheroid sections to correlate DNA damage with radionuclide distribution. Experimental surviving fractions were obtained using clonogenic assays. A random close-packed algorithm, which models the random packing behavior of cells and reflects variation in the radii of cells and nuclei, was used to simulate 3-dimensional spheroids. Calculated survival fractions were generated using an iterative modeling method based on Monte Carlo–determined absorbed dose with the PENELOPE code and were compared with experimental surviving fraction. Radiobiologic parameters deduced from experimental results and Monte Carlo simulations were used to predict the TCP for a 3-dimensional spheroid model. Results: Calculated survival fractions agreed well with experimental data, particularly when an increased value for relative biological effectiveness was applied to self-dose deposited by sources located in the nucleus and when radiobiologic parameters were adjusted to account for dose protraction. Only in MDA-MB-468 spheroids treated with (111)In-epidermal growth factor was a TCP of more than 0.5 achieved, indicating that for this cell type the radiopeptide would be curative when targeting micrometastases. This ability is attributed to the relative radiosensitivity of MDA-MB-468 cells, high nuclear uptake of the radiopeptide, and uniform distribution of radioactivity throughout the spheroid. Conclusion: It is imperative to include biologic endpoints when evaluating the distribution of radionuclides in models emulating micrometastatic disease. The spatial distribution of radioactivity is a clear determinant of biological effect and TCP as demonstrated in this study.
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spelling pubmed-63300612019-08-01 Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability Falzone, Nadia Lee, Boon Quan Able, Sarah Malcolm, Javian Terry, Samantha Alayed, Yasir Vallis, Katherine A. J Nucl Med Radiobiology/Dosimetry The spatial distribution of radiopharmaceuticals that emit short-range high linear-energy-transfer electrons greatly affects absorbed dose and biological effectiveness. The purpose of this study was to investigate the effect of heterogeneous radionuclide distribution on tumor control probability (TCP) in a micrometastasis model. Methods: The cancer cell lines MDA-MB-468, SQ20B, and 231-H2N were grown as spheroids to represent micrometastases. The intracellular distribution of a representative radiopeptide ((111)In-labeled epidermal growth factor) and radioimmunotherapeutic ((111)In-labeled trastuzumab) was determined in cell internalization experiments. The intratumoral distribution was evaluated by microautoradiography of spheroids. γH2AX staining was performed on spheroid sections to correlate DNA damage with radionuclide distribution. Experimental surviving fractions were obtained using clonogenic assays. A random close-packed algorithm, which models the random packing behavior of cells and reflects variation in the radii of cells and nuclei, was used to simulate 3-dimensional spheroids. Calculated survival fractions were generated using an iterative modeling method based on Monte Carlo–determined absorbed dose with the PENELOPE code and were compared with experimental surviving fraction. Radiobiologic parameters deduced from experimental results and Monte Carlo simulations were used to predict the TCP for a 3-dimensional spheroid model. Results: Calculated survival fractions agreed well with experimental data, particularly when an increased value for relative biological effectiveness was applied to self-dose deposited by sources located in the nucleus and when radiobiologic parameters were adjusted to account for dose protraction. Only in MDA-MB-468 spheroids treated with (111)In-epidermal growth factor was a TCP of more than 0.5 achieved, indicating that for this cell type the radiopeptide would be curative when targeting micrometastases. This ability is attributed to the relative radiosensitivity of MDA-MB-468 cells, high nuclear uptake of the radiopeptide, and uniform distribution of radioactivity throughout the spheroid. Conclusion: It is imperative to include biologic endpoints when evaluating the distribution of radionuclides in models emulating micrometastatic disease. The spatial distribution of radioactivity is a clear determinant of biological effect and TCP as demonstrated in this study. Society of Nuclear Medicine 2019-02 /pmc/articles/PMC6330061/ /pubmed/29959216 http://dx.doi.org/10.2967/jnumed.117.207308 Text en © 2019 by the Society of Nuclear Medicine and Molecular Imaging. https://creativecommons.org/licenses/by/4.0/Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: http://jnm.snmjournals.org/site/misc/permission.xhtml.
spellingShingle Radiobiology/Dosimetry
Falzone, Nadia
Lee, Boon Quan
Able, Sarah
Malcolm, Javian
Terry, Samantha
Alayed, Yasir
Vallis, Katherine A.
Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title_full Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title_fullStr Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title_full_unstemmed Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title_short Targeting Micrometastases: The Effect of Heterogeneous Radionuclide Distribution on Tumor Control Probability
title_sort targeting micrometastases: the effect of heterogeneous radionuclide distribution on tumor control probability
topic Radiobiology/Dosimetry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330061/
https://www.ncbi.nlm.nih.gov/pubmed/29959216
http://dx.doi.org/10.2967/jnumed.117.207308
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