Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing
Organoid-based studies have revolutionized in vitro preclinical research and hold great promise for the cancer research field, including prostate cancer (PCa). However, experimental variability in organoid drug testing complicates reproducibility. For example, we observed PCa organoids to be less af...
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2021
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oai:doaj.org-article:721bef334d5b4664922d111ed7466a0c2021-11-25T16:52:03ZModeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing10.3390/biom111115722218-273Xhttps://doaj.org/article/721bef334d5b4664922d111ed7466a0c2021-10-01T00:00:00Zhttps://www.mdpi.com/2218-273X/11/11/1572https://doaj.org/toc/2218-273XOrganoid-based studies have revolutionized in vitro preclinical research and hold great promise for the cancer research field, including prostate cancer (PCa). However, experimental variability in organoid drug testing complicates reproducibility. For example, we observed PCa organoids to be less affected by cabazitaxel, abiraterone and enzalutamide as compared to corresponding single cells prior to organoid assembly. We hypothesized that three-dimensional (3D) organoid organization and the use of various 3D scaffolds impact treatment efficacy. Live-cell imaging of androgen-induced androgen receptor (AR) nuclear translocation and taxane-induced tubulin stabilization was used to investigate the impact of 3D scaffolds, spatial organoid distribution and organoid size on treatment effect. Scaffolds delayed AR translocation and tubulin stabilization, with Matrigel causing a more pronounced delay than synthetic hydrogel as well as incomplete tubulin stabilization. Drug effect was further attenuated the more centrally organoids were located in the scaffold dome. Moreover, cells in the organoid core revealed a delayed treatment effect compared to cells in the organoid periphery, underscoring the impact of organoid size. These findings indicate that analysis of organoid drug responses needs careful interpretation and requires dedicated read-outs with consideration of underlying technical aspects.Annelies Van HemelrykLisanne MoutSigrun Erkens-SchulzePim J. FrenchWytske M. van WeerdenMartin E. van RoyenMDPI AGarticleprostate cancerCRPCorganoid3D cell culturepreclinical modelslive-cell imagingMicrobiologyQR1-502ENBiomolecules, Vol 11, Iss 1572, p 1572 (2021) |
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prostate cancer CRPC organoid 3D cell culture preclinical models live-cell imaging Microbiology QR1-502 |
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prostate cancer CRPC organoid 3D cell culture preclinical models live-cell imaging Microbiology QR1-502 Annelies Van Hemelryk Lisanne Mout Sigrun Erkens-Schulze Pim J. French Wytske M. van Weerden Martin E. van Royen Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
description |
Organoid-based studies have revolutionized in vitro preclinical research and hold great promise for the cancer research field, including prostate cancer (PCa). However, experimental variability in organoid drug testing complicates reproducibility. For example, we observed PCa organoids to be less affected by cabazitaxel, abiraterone and enzalutamide as compared to corresponding single cells prior to organoid assembly. We hypothesized that three-dimensional (3D) organoid organization and the use of various 3D scaffolds impact treatment efficacy. Live-cell imaging of androgen-induced androgen receptor (AR) nuclear translocation and taxane-induced tubulin stabilization was used to investigate the impact of 3D scaffolds, spatial organoid distribution and organoid size on treatment effect. Scaffolds delayed AR translocation and tubulin stabilization, with Matrigel causing a more pronounced delay than synthetic hydrogel as well as incomplete tubulin stabilization. Drug effect was further attenuated the more centrally organoids were located in the scaffold dome. Moreover, cells in the organoid core revealed a delayed treatment effect compared to cells in the organoid periphery, underscoring the impact of organoid size. These findings indicate that analysis of organoid drug responses needs careful interpretation and requires dedicated read-outs with consideration of underlying technical aspects. |
format |
article |
author |
Annelies Van Hemelryk Lisanne Mout Sigrun Erkens-Schulze Pim J. French Wytske M. van Weerden Martin E. van Royen |
author_facet |
Annelies Van Hemelryk Lisanne Mout Sigrun Erkens-Schulze Pim J. French Wytske M. van Weerden Martin E. van Royen |
author_sort |
Annelies Van Hemelryk |
title |
Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
title_short |
Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
title_full |
Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
title_fullStr |
Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
title_full_unstemmed |
Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing |
title_sort |
modeling prostate cancer treatment responses in the organoid era: 3d environment impacts drug testing |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/721bef334d5b4664922d111ed7466a0c |
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