Assessing the efficacy of anti-cancer drugs on organoid models derived from prostate cancer

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

It has been proven that tumor organoids effectively mirror the phenotypic and genetic traits of the original biomaterial. It has been noted that outcomes from drug testing in organoid cultures can accurately represent the clinical response observed in patients. In this study, an organoid culture was derived from biopsy material of prostate cancer (PC). Subsequently, clinical practice drugs, docetaxel and enzalutamide, were tested on this organoid culture. Various techniques for evaluating the efficacy of drugs in vitro were compared. The half maximal inhibitory concentration of docetaxel was found to be markedly lower compared to that of enzalutamide. However, when tested at clinically relevant concentrations and incubation times, enzalutamide was more effective than docetaxel. Therefore, it is crucial to optimize the testing conditions for drugs on in vitro cultures for their subsequent application in clinical practice.

Texto integral

Acesso é fechado

Sobre autores

M. Silkina

National Research University “Higher School of Economics”

Autor responsável pela correspondência
Email: mosilkina@hse.ru
Rússia, Moscow

A. Razumovskaya

National Research University “Higher School of Economics”

Email: mosilkina@hse.ru
Rússia, Moscow

S. Nikulin

National Research University “Higher School of Economics”; National Medical Research Radiological Center, Ministry of Health of Russia

Email: mosilkina@hse.ru
Rússia, Moscow; Moscow

A. Tonevitsky

National Research University “Higher School of Economics”

Email: mosilkina@hse.ru
Rússia, Moscow

B. Alekseev

National Medical Research Radiological Center, Ministry of Health of Russia

Email: mosilkina@hse.ru
Rússia, Moscow

Bibliografia

  1. Sung, H. Ferlay, J. Siegel R.L., et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries // CA: A Cancer Journal for Clinicians. 2021. V. 71. № 3. P. 209–249.
  2. Каприн А.Д., Старинский В.В., Шахзадова А.О. Злокачественные новообразования в России в 2021 году (заболеваемость и смертность). // Москва: МНИОИ им. П.А. Герцена – филиал ФГБУ «НМИЦ радиологии» Минздрава России, 2022.
  3. Grimaldi A.M., Salvatore M., and Cavaliere C. Diagnostic and prognostic significance of extracellular vesicles in prostate cancer drug resistance: A systematic review of the literature. // Prostate Cancer and Prostatic Diseases. 2023. Vol. 26. № 2. P. 228–239.
  4. Montero A., Fossella F., Hortobagyi G., et al. Docetaxel for treatment of solid tumours: a systematic review of clinical data. // The Lancet Oncology. 2005. vol. 6. № 4. p. 229–239.
  5. Scott L.J. Enzalutamide: A Review in Castration-Resistant Prostate Cancer. // Drugs. 2018. vol. 78. № 18. p. 1913–1924.
  6. Armstrong A.J., Szmulewitz R.Z., Petrylak D.P., et al. ARCHES: A Randomized, Phase III Study of Androgen Deprivation Therapy With Enzalutamide or Placebo in Men With Metastatic Hormone-Sensitive Prostate Cancer. // Journal of Clinical Oncology. 2019. vol. 37. № 32. p. 2974–2986.
  7. Jackson S.E., Chester J.D. Personalised cancer medicine. // International Journal of Cancer. 2015. vol. 137. № 2. p. 262–266.
  8. Nikulin S.V., Alekseev B.Y., Sergeeva N.S., et al. Breast cancer organoid model allowed to reveal potentially beneficial combinations of 3,3′-diindolylmethane and chemotherapy drugs // Biochimie. 2020. vol. 179. p. 217–227.
  9. Poloznikov A.N., Nikulin S.V., Bolotina L.V., et al. 9-ING-41, a Small Molecule Inhibitor of GSK-3β, Potentiates the Effects of Chemotherapy on Colorectal Cancer Cells. // Frontiers in Pharmacology. 2021. Vol. 12. P. 1–18.
  10. Verduin M., Hoeben A., De Ruysscher D., et al. Patient-Derived Cancer Organoids as Predictors of Treatment Response // Frontiers in Oncology. 2021. vol. 11. p. 6491980.
  11. Nikulin S. V., Alekseev B. Y., Poloznikov A. A., et al. The first experience of using prostate cancer organoids as a model for personalized selection of drugs. // Cancer Urology. 2023. vol. 19, № 2. p. 41–46.
  12. Liston D.R., Davis M. Clinically Relevant Concentrations of Anticancer Drugs: A Guide for Nonclinical Studies. // Clinical Cancer Research. 2017. vol. 23. № 14. p. 3489–3498.
  13. Gibbons J. A., Ouatas T., Krauwinkel W., et al. Clinical Pharmacokinetic Studies of Enzalutamide. // Clinical Pharmacokinetics. 2015. vol. 54. № 10. p. 1043–1055.
  14. Xu H., Jiao D., Liu A., et al. Tumor organoids: applications in cancer modeling and potentials in precision medicine. // Journal of Hematology & Oncology. 2022. vol. 15. № 1. p. 58.
  15. Beshiri M., Agarwal S., Yin J.J., et al. Prostate organoids: emerging experimental tools for translational research. // Journal of Clinical Investigation. 2023. vol. 133. № 10. p. 169616.
  16. Laccetti A. L., Morris M. J., Kantoff P. W. A Clinical Evaluation of Enzalutamide in Metastatic Castration-Sensitive Prostate Cancer: Guiding Principles for Treatment Selection and Perspectives on Research. // OncoTargets and Therapy. 2020. vol. Volume 13. p. 13247–13263.
  17. Hafner M., Niepel M., Chung M., et al. Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs. // Nature Methods. 2016. vol. 13. № 6. p. 521–527.
  18. Karkampouna S., La Manna F., Benjak A., et al. Patient-derived xenografts and organoids model therapy response in prostate cancer. // Nature Communications. 2021. vol. 12. № 1. p. 1117.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2. Intravital micrographs of a culture of prostate cancer organoids in transmitted light, 2nd passage immediately after transplantation (a) and 14 days after transplantation, scale bar 400 μm (b), viability of organoids after treatment with docetaxel (red) and enzalutamide (blue) in concentration range from 0.625 to 100 µM (c) and the growth rate of organoids after treatment with docetaxel and enzalutamide at clinical concentrations (d), * means a statistical difference with the control (p < 0.05).

Baixar (278KB)

Declaração de direitos autorais © Russian Academy of Sciences, 2024