In Silico Investigation of the Interactions of Piflufolastat F-18 and Flotufolastat F-18 Radiopharmaceuticals with Biological Targets Relevant to Prostate Cancer Diagnosis

Main Article Content

Roland M. MBIKAYI
Ignis M. KITUKU
Rosaire KITOKO
Bofilis A. KOMOY
Didi D. BIBELAYI
Joséphine N. KANKOLONGO
Kenny S. KALE
Damien S.T. TSHIBANGU
Raphael M. MULONGO
KOTO-TE-NYIWA NGBOLUA
Virima MUDOGO
Aristote MATONDO

Abstract

Prostate cancer is one of the major public health concerns among men worldwide. Early and accurate diagnosis remains a significant challenge, particularly for the detection of small-volume lesions and early recurrences. Positron emission tomography (PET) imaging using radiopharmaceuticals targeting the Prostate-Specific Membrane Antigen (PSMA) has considerably improved diagnostic management. In this study, an in silico molecular modeling approach was employed to analyze and compare the interactions between two fluorine-18–labeled radiopharmaceuticals, Piflufolastat F-18 and Flotufolastat F-18, and several biological targets involved in prostate cancer, including the androgen receptor (AR), HIF-1α, HER2, and PSMA. Molecular docking was used to evaluate binding affinities and to identify stabilizing interactions at the atomic level. The results show that both radiopharmaceuticals exhibit strong affinity for PSMA, with particularly favorable binding energies, confirming their relevance in diagnostic imaging. Furthermore, Piflufolastat F-18 behaves as a multi-target ligand, which may reduce its selectivity, whereas Flotufolastat F-18 appears highly selective This study highlights the value of molecular modeling as a complementary tool for understanding ligand–receptor interactions and for the future optimization of PSMA-targeted radiotracers.

Downloads

Download data is not yet available.

Article Details

Section

La santé communautaire, scolaire, et au travail

How to Cite

In Silico Investigation of the Interactions of Piflufolastat F-18 and Flotufolastat F-18 Radiopharmaceuticals with Biological Targets Relevant to Prostate Cancer Diagnosis. (2026). REVUE DES SCIENCES DE LA SANTE, 5(1), 27-34. https://doi.org/10.71004/rss.026.v5.i1.50

References

1. Sekhoacha M, Riet K, Motloung P, Gumenku L, Adegoke A, Mashele S. Prostate cancer review: genetics, diagnosis, treatment options, and alternative approaches. Molecules. 2022;27:5730. doi:10.3390/molecules27175730. DOI: https://doi.org/10.3390/molecules27175730

2. Sgouros G. Radiopharmaceutical therapy. Health Phys. 2019;116(2):175–178. DOI: https://doi.org/10.1097/HP.0000000000001000

3. Varghese TP, John A, Mathew J. Revolutionizing cancer treatment: the role of radiopharmaceuticals in modern cancer therapy. Precis Radiat Oncol. 2024;8:145–152. DOI: https://doi.org/10.1002/pro6.1239

4. Sgouros G, Bodei L, McDevitt MR, Nedrow JR. Radiopharmaceutical therapy in cancer: clinical advances and challenges. Nat Rev Drug Discov. 2020;19(9):589–608. DOI: https://doi.org/10.1038/s41573-020-0073-9

5. Salih S, Alkatheeri A, Alomaim W, Elliyanti A. Radiopharmaceutical treatments for cancer therapy, radionuclide characteristics, applications, and challenges. Molecules. 2022;27(16):5231. doi:10.3390/molecules27165231. DOI: https://doi.org/10.3390/molecules27165231

6. Afshar-Oromieh A, Giesel FL, Eiber M. Next-generation PSMA ligands in prostate cancer imaging. Eur J Nucl Med Mol Imaging. 2023;50(4):1123–1137.

7. Arafa AT, Jain A, Skrobanek P, et al. Impact of piflufolastat F-18 PSMA PET imaging on clinical decision-making in prostate cancer across disease states: a retrospective review. Prostate. 2023;83:863–870. DOI: https://doi.org/10.1002/pros.24527

8. Eiber M, Afshar-Oromieh A, et al. Flotufolastat F-18: a next-generation PSMA-targeted PET radiopharmaceutical. Clin Nucl Med. 2022;47(2):104–113.

9. Ngbolua KN, Kilembe JT, Matondo A, Ashande CM, Mukiza J, et al. Molecular docking studies on the interaction of four Malagasy cytotoxic compounds with angiogenesis target protein HIF-1α and human androgen receptor and their ADMET properties. Bull Natl Res Cent. 2022;46:101. DOI: https://doi.org/10.1186/s42269-022-00793-1

10. Mfutu CM, Ngbolua KN, Issouradi JPS, Mulongo EM, Ashande CM, et al. Molecular docking and molecular dynamics simulation studies of the interaction of anti-oral cancer plant Curcuma longa derived compounds with human epidermal growth factor receptor 2. J Proteins Proteom. 2024;1:1–17.

11. Ryszkiewicz P, Barbara M, Eberhard S. Polypharmacology: promises and new drugs in 2022. Pharmacol Rep. 2023;75:755–770. doi:10.1007/s43440-023-00501-4. DOI: https://doi.org/10.1007/s43440-023-00501-4

12. Mbadiko CM, Ngbolua KN, Bongo GN, Matondo A, Kilembe JT, et al. In vitro evaluation of curcumin’s antisickling activity and in silico analysis of curcuminoids and their ADMET properties. Discover Chemistry. 2025;2(1):113. DOI: https://doi.org/10.1007/s44371-025-00171-6

13. Kitete EM, Matondo A, Ngbolua KN, Mpiana PT. Evaluation of antiviral potential of Cinchona officinalis derived compounds against COVID-19 and human hepatitis B: an in silico molecular docking and molecular dynamics simulation study. Pharmacol Res Nat Prod. 2025;7:100229. DOI: https://doi.org/10.1016/j.prenap.2025.100229

14. Kasende OE, Matondo A, Muya JT, Scheiner S. Interactions between temozolomide and guanine and its S- and Se-substituted analogues. Int J Quantum Chem. 2017;117:157–169. DOI: https://doi.org/10.1002/qua.25294

15. Mavingire N, et al. Revisiting HER2 in prostate cancer from an inclusive perspective: from biomarkers to omics. Cancers (Basel). 2024;16(19):3262. DOI: https://doi.org/10.3390/cancers16193262

16. Trott O, Olson AJ. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010;31:455–461. DOI: https://doi.org/10.1002/jcc.21334

17. Matondo A, Mukeba CT, Muzomwe M, Nsimba BM, Tsalu PV. Unravelling syn- and anti-orientation in the regioselectivity of carbonyl groups of 5-fluorouracil, an anticancer drug, toward proton donors. Chem Phys Lett. 2018;712:196–207. DOI: https://doi.org/10.1016/j.cplett.2018.09.074

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)