The rise of 3D spheroids in radiobiology for assessing tumour radioresistance

Authors

  • Alexandra Charalampopoulou Radiobiology Unit, Research and Development Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy; Hadron Academy PhD Course, School for Advanced Studies (IUSS), Pavia, Italy https://orcid.org/0000-0002-8690-9420
  • Fabrizio De Luca Department of Biology and Biotechnology L. Spallanzani, University of Pavia, Pavia, Italy https://orcid.org/0000-0002-6462-2373
  • Giuseppe Magro Medical Physics Unit, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy https://orcid.org/0000-0001-7140-8642
  • Niloufar Matoor Department of Biology and Biotechnology L. Spallanzani, University of Pavia, Pavia, Italy
  • Amelia Barcellini Radiation Oncology Unit, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Radiation Oncology Unit, Clinical Department, Pavia, Italy; Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy https://orcid.org/0000-0002-1595-104X
  • Giorgio Butella Research and Development Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy https://orcid.org/0009-0008-4506-9497
  • Giovanni Battista Ivaldi Radiation Oncology Department, Istituti Clinici Scientific Maugeri IRCCS, Pavia, Italy https://orcid.org/0000-0002-7280-5698
  • Sara Lillo Radiation Oncology Unit, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Radiation Oncology Unit, Clinical Department, Pavia, Italy; Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy https://orcid.org/0000-0001-7300-1168
  • Lorenzo Manti Department of Mathematics and Physics, University of Campania “L. Vanvitelli”, Caserta, Italy; National Institute for Nuclear Physics (INFN), Naples Section, Naples, Italy https://orcid.org/0000-0003-0168-5040
  • Alessio Mereghetti Research and Development Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy https://orcid.org/0000-0002-0586-257X
  • Paola Tabarelli De Fatis Medical Physics Unit, Clinical Scientific Institutes Maugeri IRCCS, Pavia, Italy https://orcid.org/0000-0002-5721-9295
  • Maria Grazia Bottone Department of Biology and Biotechnology L. Spallanzani, University of Pavia, Pavia, Italy https://orcid.org/0000-0003-4570-8785
  • Angelica Facoetti Radiobiology Unit, Research and Development Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy https://orcid.org/0000-0001-8215-9258

DOI:

https://doi.org/10.2340/1651-226X.2026.45079

Abstract

Background and purpose: Particle therapy (PT), including proton (PRT) and carbon ion radiotherapy (CIRT), offers physical and biological advantages over photon radiotherapy (XRT), particularly for radioresistant tumours such as glioblastoma and osteosarcoma. However, systematic preclinical comparisons using physiologically relevant models remain limited.
Material and methods: T98G (glioblastoma), Saos-2 and U2-OS (osteosarcoma) cells were cultured as two-dimensional (2D) monolayers and three-dimensional (3D) spheroids and irradiated with XRT, PRT or CIRT at 2, 4 or 6 Gy. Clonogenic survival, metabolic activity (PrestoBlue), invasion and spheroid growth kinetics were quantified. Relative biological effectiveness (RBE) was derived from survival data, and spheroid sections were analysed histologically (H&E).
Results: CIRT induced the strongest cytotoxic and anti-invasive effects across all models. In 2D cultures, the surviving fraction at 2 Gy decreased from 0.62 to 0.69 after XRT to 0.16–0.28 following CIRT (RBE = 2.1–2.4 vs. 1.1 for PRT; p < 0.0001). 3D spheroids exhibited overall higher radioresistance, yet CIRT markedly reduced growth and invasion, lowering normalised indices to 0.52 ± 0.12 (T98G) and 0.58 ± 0.09 (Saos-2) at 6 Gy, while photons often promoted invasion (> 1.2; p < 0.001). RBE values in 3D reached 3.6–4.0. H&E staining confirmed dose-dependent architectural disruption, with carbon ions inducing extensive necrosis and cellular degeneration.
Interpretation: This study introduces a robust 3D preclinical platform for radiobiological assessment of particle therapy. CIRT consistently overcame intrinsic and microenvironment-mediated resistance, outperforming photons and protons in suppressing viability, invasion and spheroid integrity, thus reinforcing the translational relevance of 3D models and the therapeutic promise of carbon ion therapy for resistant malignancies.

Downloads

Download data is not yet available.

References

Li N, Ward M, Bashir M, Cao Y, Datta A, Li Z, et al. Machine learning reveals novel targets for both glioblastoma and osteosarcoma. Heliyon. 2025;11(5):e42997. https://doi.org/10.1016/j.heliyon.2025.e42997 DOI: https://doi.org/10.1016/j.heliyon.2025.e42997

Ali MY, Oliva CR, Noman ASM, Allen BG, Goswami PC, Zakharia Y, et al. Radioresistance in glioblastoma and the development of radiosensitizers. Cancers (Basel). 2020;12(9):2511. https://doi.org/10.3390/cancers12092511 DOI: https://doi.org/10.3390/cancers12092511

Zuch D, Giang AH, Shapovalov Y, Schwarz E, Rosier R, O’Keefe R, et al. Targeting radioresistant osteosarcoma cells with parthenolide. J Cell Biochem. 2012;113(4):1282–91. https://doi.org/10.1002/jcb.24002 DOI: https://doi.org/10.1002/jcb.24002

Kong L, Wu J, Gao J, Qiu X, Yang J, Hu J, et al. Particle radiation therapy in the management of malignant glioma: early experience at the Shanghai Proton and Heavy Ion Center. Cancer. 2020;126(12):2802–10. https://doi.org/10.1002/cncr.32828 DOI: https://doi.org/10.1002/cncr.32828

Dong M, Liu R, Zhang Q, et al. Efficacy and safety of carbon ion radiotherapy for bone sarcomas: a systematic review and meta-analysis. Radiat Oncol. 2022;17:172. https://doi.org/10.1186/s13014-022-02089-0 DOI: https://doi.org/10.1186/s13014-022-02089-0

Loeffler J, Durante M. Charged particle therapy – optimization, challenges and future directions. Nat Rev Clin Oncol. 2013;10:411–24. https://doi.org/10.1038/nrclinonc.2013.79 DOI: https://doi.org/10.1038/nrclinonc.2013.79

Tinganelli W, Durante M. Carbon ion radiobiology. Cancers (Basel). 2020;12(10):3022. https://doi.org/10.3390/cancers12103022 DOI: https://doi.org/10.3390/cancers12103022

Vischioni B, Barcellini A, Magro G, Rotondi M, Durante M, Facoetti A, et al. Radioresistant, rare, recurrent, and radioinduced: 4Rs of hadrontherapy for patient selection. Int J Part Ther. 2024;15:100737. https://doi.org/10.1016/j.ijpt.2024.100737 DOI: https://doi.org/10.1016/j.ijpt.2024.100737

Rosenblatt E, et al. Relevance of particle therapy to developing countries. Int J Radiat Oncol Biol Phys. 2016;95(1):25–9. https://doi.org/10.1016/j.ijrobp.2015.10.006 DOI: https://doi.org/10.1016/j.ijrobp.2015.12.370

Krzyszczyk P, Acevedo A, Davidoff EJ, Timmins LM, Marrero-Berrios I, Patel M, et al. The growing role of precision and personalized medicine for cancer treatment. Technology. 2018;6(3–4):79–100. https://doi.org/10.1142/S2339547818300020 DOI: https://doi.org/10.1142/S2339547818300020

Kirsh SM, Pascetta SA, Uniacke J. Spheroids as a 3D model of the hypoxic tumor microenvironment. Methods Mol Biol. 2023;2614:273–85. https://doi.org/10.1007/978-1-0716-2914-7_17 DOI: https://doi.org/10.1007/978-1-0716-2914-7_17

Liu J, Hormuth DA 2nd, Yang J, Yankeelov TE. A multi-compartment model of glioma response to fractionated radiation therapy parameterized via time-resolved microscopy data. Front Oncol. 2022;12:811415. https://doi.org/10.3389/fonc.2022.811415 DOI: https://doi.org/10.3389/fonc.2022.811415

Paganetti H. Relative biological effectiveness (RBE) values for proton beam therapy: variations as a function of biological endpoint, dose, and linear energy transfer. Phys Med Biol. 2014;59:R419–72. https://doi.org/10.1088/0031-9155/59/22/R419 DOI: https://doi.org/10.1088/0031-9155/59/22/R419

Antonelli F. 3D cell models in radiobiology: improving the predictive value of in vitro research. Int J Mol Sci. 2023;24(13):10620. https://doi.org/10.3390/ijms241310620 DOI: https://doi.org/10.3390/ijms241310620

Franken NA, Rodermond HM, Stap J, Haveman J, van Bree C. Clonogenic assay of cells in vitro. Nat Protoc. 2006;1(5):2315–9. https://doi.org/10.1038/nprot.2006.339 DOI: https://doi.org/10.1038/nprot.2006.339

Pinto B, Henriques AC, Silva PMA, Bousbaa H. Three-dimensional spheroids as in vitro preclinical models for cancer research. Pharmaceutics. 2020;12(11):1186. https://doi.org/10.3390/pharmaceutics12111186 DOI: https://doi.org/10.3390/pharmaceutics12121186

Jensen C, Teng Y. Is it time to start transitioning from 2D to 3D cell culture? Front Mol Biosci. 2020;7:33. https://doi.org/10.3389/fmolb.2020.00033 DOI: https://doi.org/10.3389/fmolb.2020.00033

Cacciamali A, Villa R, Dotti S. 3D cell cultures: evolution of an ancient tool for new applications. Front Physiol. 2022;13:836480. https://doi.org/10.3389/fphys.2022.836480 DOI: https://doi.org/10.3389/fphys.2022.836480

Raitanen J, Barta B, Hacker M, Georg D, Balber T, Mitterhauser M. Comparison of radiation response between 2D and 3D cell culture models of different human cancer cell lines. Cells. 2023;12(3):360. https://doi.org/10.3390/cells12030360 DOI: https://doi.org/10.3390/cells12030360

Björk-Eriksson T, West C, Karlsson E, Mercke C. Tumor radiosensitivity (SF2) is a prognostic factor for local control in head and neck cancers. Int J Radiat Oncol Biol Phys. 2000;46(1):13–19. https://doi.org/10.1016/S0360-3016(99)00373-9 DOI: https://doi.org/10.1016/S0360-3016(99)00373-9

Chumpraman A, Tannukit S, Chotigeat W, Kedjarune-Leggat U. Biocompatibility and mineralization activity of modified glass ionomer cement in human dental pulp stem cells. J Dent Sci. 2023;18(3):1055–61. https://doi.org/10.1016/j.jds.2022.11.024 DOI: https://doi.org/10.1016/j.jds.2022.11.024

Charalampopoulou A, Barcellini A, Magro G, Bellini A, Borgna SS, Fulgini G, et al. Advancing radiobiology: investigating the effects of photon, proton, and carbon-ion irradiation on PANC-1 cells in 2D and 3D tumor models. Curr Oncol. 2025;32(1):49. https://doi.org/10.3390/curroncol32010049 DOI: https://doi.org/10.3390/curroncol32010049

Limame R, Wouters A, Pauwels B, et al. Comparative analysis of dynamic cell viability, migration and invasion assessments by novel real-time technology and classic endpoint assays. PLoS One. 2012;7(10):e46536. https://doi.org/10.1371/journal.pone.0046536 DOI: https://doi.org/10.1371/journal.pone.0046536

Charalampopoulou A, Barcellini A, Bistika M, Ivaldi GB, Lillo S, Magro G, et al. Vaginal mucosal melanoma cell activation in response to photon or carbon ion irradiation. Int J Part Ther. 2024;14:100630. https://doi.org/10.1016/j.ijpt.2024.100630 DOI: https://doi.org/10.1016/j.ijpt.2024.100630

Guyon J, Andrique L, Pujol N, Røsland GV, Recher G, Bikfalvi A, et al. A 3D spheroid model for glioblastoma. J Vis Exp. 2020;158:e60998. https://doi.org/10.3791/60998 DOI: https://doi.org/10.3791/60998-v

Kulesza J, Pawłowska M, Augustin E. The influence of antitumor unsymmetrical bisacridines on 3D cancer spheroids growth and viability. Molecules. 2021;26(20):6262. https://doi.org/10.3390/molecules26206262 DOI: https://doi.org/10.3390/molecules26206262

De Luca F, Roda E, Ratto D, Desiderio A, Venuti MT, Ramieri M, et al. Fighting secondary triple-negative breast cancer in cerebellum: a powerful aid from a medicinal mushrooms blend. Biomed Pharmacother. 2023;159:114262. https://doi.org/10.1016/j.biopha.2023.114262 DOI: https://doi.org/10.1016/j.biopha.2023.114262

Rousseau M, Gaugler MH, Rodallec A, Bonnaud S, Paris F, Corre I. RhoA GTPase regulates radiation-induced alterations in endothelial cell adhesion and migration. Biochem Biophys Res Commun. 2011;414(4):750–5. https://doi.org/10.1016/j.bbrc.2011.09.150 DOI: https://doi.org/10.1016/j.bbrc.2011.09.150

La Verde G, Artiola V, Panzetta V, Pugliese M, Netti PA, Fusco S. Cytoskeleton response to ionizing radiation: a brief review on adhesion and migration effects. Biomedicines. 2021;9(9):1102. https://doi.org/10.3390/biomedicines9091102 DOI: https://doi.org/10.3390/biomedicines9091102

Cordeiro S, Oliveira BB, Valente R, Ferreira D, Luz A, Baptista PV, et al. Breaking the mold: 3D cell cultures reshaping the future of cancer research. Front Cell Dev Biol. 2024;12:1507388. https://doi.org/10.3389/fcell.2024.1507388 DOI: https://doi.org/10.3389/fcell.2024.1507388

Kadletz L, et al. Evaluation of spheroid head and neck squamous cell carcinoma cell models in comparison to monolayer cultures. Oncol Lett. 2015;10:1281–6. https://doi.org/10.3892/ol.2015.3487 DOI: https://doi.org/10.3892/ol.2015.3487

Paullin T, et al. Spheroid growth in ovarian cancer alters transcriptome responses for stress pathways and epigenetic responses. PLoS One. 2017;12(8):e0182930. https://doi.org/10.1371/journal.pone.0182930 DOI: https://doi.org/10.1371/journal.pone.0182930

Brüningk SC, Rivens I, Box C, et al. 3D tumour spheroids for the prediction of the effects of radiation and hyperthermia treatments. Sci Rep. 2020;10:1653. https://doi.org/10.1038/s41598-020-58569-4 DOI: https://doi.org/10.1038/s41598-020-58569-4

Tevis KM, Colson YL, Grinstaff MW. Embedded spheroids as models of the cancer microenvironment. Adv Biosyst. 2017;1(10):1700083. https://doi.org/10.1002/adbi.201700083 DOI: https://doi.org/10.1002/adbi.201700083

Kramer N, Walzl A, Unger C, Rosner M, Krupitza G, Hengstschläger M, et al. In vitro cell migration and invasion assays. Mutat Res. 2013;752(1):10–24. https://doi.org/10.1016/j.mrrev.2012.08.001 DOI: https://doi.org/10.1016/j.mrrev.2012.08.001

Friedl P, Sahai E, Weiss S, Yamada KM. New dimensions in cell migration. Nat Rev Mol Cell Biol. 2012;13(11):743–7. https://doi.org/10.1038/nrm3459 DOI: https://doi.org/10.1038/nrm3459

Friedl P, Locker J, Sahai E, Segall JE. Classifying collective cancer cell invasion. Nat Cell Biol. 2012;14(8):777–83. https://doi.org/10.1038/ncb2548 DOI: https://doi.org/10.1038/ncb2548

Yamada KM, Sixt M. Mechanisms of 3D cell migration. Nat Rev Mol Cell Biol. 2019;20(12):738–52. https://doi.org/10.1038/s41580-019-0172-9 DOI: https://doi.org/10.1038/s41580-019-0172-9

Qazi MA, Vora P, Venugopal C, Sidhu SS, Moffat J, Swanton C, et al. Intratumoral heterogeneity: pathways to treatment resistance and relapse in human glioblastoma. Ann Oncol. 2017;28(7):1448–56. https://doi.org/10.1093/annonc/mdx169 DOI: https://doi.org/10.1093/annonc/mdx169

Fujita M, Yamada S, Imai T. Irradiation induces diverse changes in invasive potential in cancer cell lines. Semin Cancer Biol. 2015;35:45–52. https://doi.org/10.1016/j.semcancer.2015.09.004 DOI: https://doi.org/10.1016/j.semcancer.2015.09.003

Ogata T, Teshima T, Inaoka M, Minami K, Tsuchiya T, et al. Carbon ion irradiation suppresses metastatic potential of human non-small cell lung cancer A549 cells through the phosphatidylinositol-3-kinase/Akt signaling pathway. J Radiat Res. 2011;52(3):374–9. https://doi.org/10.1269/jrr.10157 DOI: https://doi.org/10.1269/jrr.10102

Fujita M, Otsuka Y, Imadome K, Endo S, Yamada S, Imai T. Carbon-ion radiation enhances migration ability and invasiveness of the pancreatic cancer cell, PANC-1, in vitro. Cancer Sci. 2012;103(4):677–83. https://doi.org/10.1111/j.1349-7006.2012.02203.x DOI: https://doi.org/10.1111/j.1349-7006.2011.02190.x

Vinci M, Box C, Eccles SA. Three-dimensional (3D) tumor spheroid invasion assay. J Vis Exp. 2015;99:e52686. https://doi.org/10.3791/52686 DOI: https://doi.org/10.3791/52686-v

Additional Files

Published

2026-02-03

How to Cite

Charalampopoulou, A., De Luca, F., Magro, G., Matoor, N., Barcellini, A., Butella , G., … Facoetti , A. (2026). The rise of 3D spheroids in radiobiology for assessing tumour radioresistance. Acta Oncologica, 65, 46–58. https://doi.org/10.2340/1651-226X.2026.45079