Milos Drobnjakovic

Mr. Milos Drobnjakovic


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2023 in Biotechnology Progress
Verified
Journal Article
Closed access
MDMilos Drobnjakovic
Milos Drobnjakovic
RHRoger Hart
Roger Hart
BKBoonserm (Serm) Kulvatunyou
Boonserm (Serm) Kulvatunyou
NINenad Ivezic
Nenad Ivezic
VSVijay Srinivasan
Vijay Srinivasan

8 July 2021 in Cancers
Verified
Journal Article
Open access
PDF file
GBGabriele Birindelli
Gabriele Birindelli
MDMilos Drobnjakovic
Milos Drobnjakovic
VMVolker Morath
Volker Morath
Katja SteigerKatja Steiger
Katja Steiger
CDCalogero D’Alessandria
Calogero D’Alessandria
KSKuangyu Shi
Kuangyu Shi
Radioligand therapy (RLT) targeting prostate specific-membrane antigen (PSMA) is an emerging treatment for metastatic castration-resistant prostate cancer (mCRPC). It administrates 225Ac- or 177Lu-labeled ligands for the targeted killing of tumor cells. Differently from X- or γ-ray, for the emitted α or β particles the ionization of the DNA molecule is less dependent on the tissue oxygenation status. Furthermore, the diffusion range of electrons in a tumor is much larger than the volume typically spanned by hypoxic regions. Therefore, hypoxia is less investigated as an influential factor for PSMA-directed RLT, in particular with β emitters. This study proposes an in silico approach to theoretically investigate the influence of tumor hypoxia on the PSMA-directed RLT. Based on mice histology images, the distribution of the radiopharmaceuticals was simulated with an in silico PBPK-based convection–reaction–diffusion model. Three anti-CD31 immunohistochemistry slices were used to simulate the tumor microenvironment. Ten regions of interest with varying hypoxia severity were analyzed. A kernel-based method was developed for dose calculation. The cell survival probability was calculated according to the linear-quadratic model. The statistical analysis performed on all the regions of interest (ROIs) shows more heterogeneous dose distributions obtained with 225Ac compared to 177Lu. The higher homogeneity of 177Lu-PSMA-ligand treatment is due to the larger range covered by the emitted β particles. The dose-to-tissue histogram (DTH) metric shows that in poorly vascularized ROIs only 10% of radiobiological hypoxic tissue receives the target dose using 177Lu-PSMA-ligand treatment. This percentage drops down to 5% using 225Ac. In highly vascularized ROIs, the percentage of hypoxic tissue receiving the target dose increases to more than 85% and 65% for the 177Lu and 225Ac-PSMA-ligands, respectively. The in silico study demonstrated that the reduced vascularization of the tumor strongly influences the dose delivered by PSMA-directed RLT, especially in hypoxic regions and consequently the treatment outcome.

14 September 2023
Verified
Book Chapter
Closed access
PDF file
MDMilos Drobnjakovic
Milos Drobnjakovic
GSGuodong Shao
Guodong Shao
ANAna Nikolov
Ana Nikolov
BKBoonserm Kulvatunyou
Boonserm Kulvatunyou
SFSimon Frechette
Simon Frechette
VSVijay Srinivasan
Vijay Srinivasan

8 September 2024
Verified
Book Chapter
Closed access
PDF file
MDMilos Drobnjakovic
Milos Drobnjakovic
PCPerawit Charoenwut
Perawit Charoenwut
ANAna Nikolov
Ana Nikolov
HOHakju Oh
Hakju Oh
BKBoonserm Kulvatunyou
Boonserm Kulvatunyou

27 August 2025
Verified
Book Chapter
Closed access
PDF file
PCPerawit Charoenwut
Perawit Charoenwut
MDMilos Drobnjakovic
Milos Drobnjakovic
HOHakju Oh
Hakju Oh
ANAna Nikolov
Ana Nikolov
BKBoonserm Kulvatunyou
Boonserm Kulvatunyou

14 April 2022 in Nuklearmedizin-Nuclear Medicine
Verified
Journal Article
Closed access
GBGabriele Birindelli
Gabriele Birindelli
MDMilos Drobnjakovic
Milos Drobnjakovic
VMVolker Morath
Volker Morath
Katja SteigerKatja Steiger
Katja Steiger
CAC.D. Alessandria
C.D. Alessandria
KSK. Shi
K. Shi
Ziel/Aim Radioligand therapy (RLT) targeting prostate specific-membrane antigen (PSMA) is an emerging treatment for metastatic castration-resistant prostate cancer (mCRPC). It administrates 225Ac- or 177Lu-labeled ligands for the targeted killing of tumor cells. Differently from x- or gamma-ray, for the emitted α or β particles the ionization of the DNA molecule is less dependent on the tissue oxygenation status. Furthermore, the diffusion range of electrons in a tumor is much larger than the volume typically spanned by hypoxic regions. Therefore, hypoxia is less investigated as an influential factor for PSMA-directed RLT, in particular with β emitters. This study proposes an in-silico approach to theoretically investigate the influence of tumor hypoxia on the PSMA-directed RLT. Methodik/Methods Based on mice histology images, the distribution of the radio-pharmaceuticals was simulated with an in-silico PBPK-based convection-reaction-diffusion model. Three anti-CD31 immunohistochemistry slices were used to simulate the tumor microenvironment. Ten regions of interest with varying hypoxia severity have been analyzed. A kernel-based method was developed for dose calculation. The cell survival probability has been calculated accordingly to the linear-quadratic model. Ergebnisse/Results The statistical analysis performed on all the region-of-interests (ROI)s shows more heterogeneous dose distributions obtained with 225Ac compared to 177Lu. The higher homogeneity of 177Lu-PSMA-ligands treatment is due to the larger range covered by the emitted β particles. The dose-to-tissue histogram (DTH) metric shows that in poorly vascularized ROIs only 10\% of radiobiological hypoxic tissue receives the target dose using 177Lu-PSMA-ligands treatment. This percentage drops down to 5\% using 225Ac. In highly vascularized ROIs, the percentage of hypoxic tissue receiving the target dose increases to more than 85\% and 65\% for the 177Lu and 225Ac-PSMA-ligands respectively. Schlussfolgerungen/Conclusions The in-silico study demonstrated that the reduced vascularization of the tumor strongly influences the dose delivered by PSMA-directed RLT especially in hypoxic regions and consequently the treatment outcome. Publication Date: 14 April 2022 (online) © 2022. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany