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Research ArticleBasic Science Investigation

Enhancing 223Ra Treatment Efficacy by Anti-β1 Integrin Targeting

Claudia Paindelli, Stefano Casarin, Feng Wang, Luis Diaz-Gomez, Jianhua Zhang, Antonios G. Mikos, Christopher J. Logothetis, Peter Friedl and Eleonora Dondossola
Journal of Nuclear Medicine July 2022, 63 (7) 1039-1045; DOI: https://doi.org/10.2967/jnumed.121.262743
Claudia Paindelli
1Department of Genitourinary Medical Oncology and David H. Koch Center for Applied Research of Genitourinary Cancers, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
2Department of Cell Biology, Radboud University Medical Center, Nijmegen, The Netherlands;
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Stefano Casarin
3Center for Computational Surgery, Department of Surgery and Houston Methodist Academic Institute, Houston Methodist Research Institute, Houston, Texas;
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Feng Wang
4Department of Genomic Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
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Luis Diaz-Gomez
5Department of Bioengineering, Rice University, Houston, Texas; and
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Jianhua Zhang
4Department of Genomic Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
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Antonios G. Mikos
5Department of Bioengineering, Rice University, Houston, Texas; and
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Christopher J. Logothetis
1Department of Genitourinary Medical Oncology and David H. Koch Center for Applied Research of Genitourinary Cancers, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
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Peter Friedl
1Department of Genitourinary Medical Oncology and David H. Koch Center for Applied Research of Genitourinary Cancers, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
2Department of Cell Biology, Radboud University Medical Center, Nijmegen, The Netherlands;
6Cancer Genomics Centre, Utrecht, The Netherlands
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Eleonora Dondossola
1Department of Genitourinary Medical Oncology and David H. Koch Center for Applied Research of Genitourinary Cancers, University of Texas M.D. Anderson Cancer Center, Houston, Texas;
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  • FIGURE 1.
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    FIGURE 1.

    β1I expression, in vitro. (A) RNA expression of ITGB1 in bones and soft-tissue metastasis, Stand Up to Cancer/Prostate Cancer Foundation database. (B and C) Flow cytometry and immunofluorescence analysis of β1I expression in PC3 and C4-2B cells. Experiment was repeated twice. Bar = 50 μm; n.s. = nonsignificant.

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    FIGURE 2.

    In vivo response of PCa cells in bone to anti-β1I (4B4) and 223Ra treatments. (A) Experimental design and timeline of treatment schedule. (B) PC3 tumors, growth, and survival curve over time (223Ra, 300 kBq/kg; 4B4-mAb, 100 μg/mouse; n = 13–19 tumors). (C and D) C4-2B tumors, growth curve, and survival curve over time (223Ra, 300 kBq/kg; 4B4-mAb, 100 μg/mouse; n = 8–10 tumors [C]; 223Ra, 100 kBq/kg; 4B4-mAb, 100 μg/mouse; n = 9–12 tumors [D]). *P < 0.05. ***P < 0.001, 1-way ANOVA, followed by Tukey honestly-significant-difference post hoc test.

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    FIGURE 3.

    Cellular mechanisms of response to anti-β1I and 223Ra treatments. (A) Cartoon and timeline. (B) Representative overview micrograph. Insert shows zoomed subregions segmented every 100 μm from bone interface. Bar = 100 μm. (C) Quantification of mitosis/apoptosis nucleus ratio for each treatment condition. Data are mean ± SD (n = 3 bones/treatment, 3–5 slices/bone). (D) Zonal comparison of apoptotic and mitotic cells for 223Ra and 223Ra + 4B4 treatments. *P < 0.05. **P < 0.01 by 1-way ANOVA and honestly-significant-difference post hoc test. DAPI = 4′,6-diamidino-2-phenylindole.

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    FIGURE 4.

    Effects of 4B4-mAb treatment on α-radiation sensitization. (A) Cartoon of experimental pipeline. (B and C) Representative pictures of PC3 tumoroids treated with 4B4-mAb (15 μg/mL) and 223Ra (10 Bq/mL) alone or in combination (B); growth curve, with 3 independent experiments performed (means ± SD, 6 scaffolds/condition; C, left panel); and percentage of apoptotic cells after treatment (means ± SD, 6 scaffolds/treatment; C, right panel). Bar = 100 μm. *P < 0.05 by 1-way ANOVA and honestly-significant-difference post hoc test.

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    FIGURE 5.

    Mathematic modeling of 223Ra and 4B4 response. (A) Schematic representation of in silico tumor lesions in bone. White dot = interphase (IP) cell; red dot = apoptotic cell; cyan dot = mitotic cell. (B) In silico simulations of tumor growth by lesions of different sizes in control, 4B4-mAb, 223Ra, or 223Ra + 4B4 treated samples (data represent means of 10 simulations). i #= initial number of tumor cells. (C) Apoptotic index (probability of apoptosis/probability of mitosis for each agent).

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Journal of Nuclear Medicine: 63 (7)
Journal of Nuclear Medicine
Vol. 63, Issue 7
July 1, 2022
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Enhancing 223Ra Treatment Efficacy by Anti-β1 Integrin Targeting
Claudia Paindelli, Stefano Casarin, Feng Wang, Luis Diaz-Gomez, Jianhua Zhang, Antonios G. Mikos, Christopher J. Logothetis, Peter Friedl, Eleonora Dondossola
Journal of Nuclear Medicine Jul 2022, 63 (7) 1039-1045; DOI: 10.2967/jnumed.121.262743

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Enhancing 223Ra Treatment Efficacy by Anti-β1 Integrin Targeting
Claudia Paindelli, Stefano Casarin, Feng Wang, Luis Diaz-Gomez, Jianhua Zhang, Antonios G. Mikos, Christopher J. Logothetis, Peter Friedl, Eleonora Dondossola
Journal of Nuclear Medicine Jul 2022, 63 (7) 1039-1045; DOI: 10.2967/jnumed.121.262743
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Keywords

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