Supplementary data for 'Modeling acquired resistance to the second-generation androgen receptor antagonist enzalutamide in the TRAMP model of prostate cancer'.
Dataset
- Dr Marianna Cerasuolo (Creator)
- Federica Maccarinelli (Creator)
- Daniela Coltrini (Creator)
- Ali Mokhtar (Creator)
- Viviana Marolda (Creator)
- Gaia Cristina Ghedini (Creator)
- Sara Rezzola (Creator)
- Arianna Giacomini (Creator)
- Luca Triggiani (Creator)
- Magdalena Kostrzewa (Creator)
- Roberta Verde (Creator)
- Debora Paris (Creator)
- Dominique Melck (Creator)
- Marco Presta (Creator)
- Alessia Ligresti (Creator)
- Roberto Ronca (Creator)
Description
This copy of the Supplementary Material is subject to the same embargo as the post-print and will be available here from 06/02/21.
Content:
Model parameterization
Vehicle and enzalutamide:
-In vitro experiments
Figures SMM1 & SMM2
-In vivo experiments (under skin)
Figures SMM3 & SMM4
Mathematical model for combo therapies: enzalutamide-everolimus or
enzalutamide-cabazitaxel
Everolimus:
-From in vitro experiments
Figures SMM5 & SMM6
-In vivo experiments (under skin)
Figure SMM7
Cabazitaxel:
-In vitro experiments
Figures SMM8 & SMM9
-In vivo experiments (under skin)
Figure SMM10
Sensitivity Analysis
Content:
Model parameterization
Vehicle and enzalutamide:
-In vitro experiments
Figures SMM1 & SMM2
-In vivo experiments (under skin)
Figures SMM3 & SMM4
Mathematical model for combo therapies: enzalutamide-everolimus or
enzalutamide-cabazitaxel
Everolimus:
-From in vitro experiments
Figures SMM5 & SMM6
-In vivo experiments (under skin)
Figure SMM7
Cabazitaxel:
-In vitro experiments
Figures SMM8 & SMM9
-In vivo experiments (under skin)
Figure SMM10
Sensitivity Analysis
Date made available | 6 Feb 2020 |
---|---|
Publisher | University of Portsmouth |
Documents
Cerasuolo_et_al_2020_Supplementary_Material_Mathematical_Model.pdf
2.93 MB, PDF document
Licence: CC BY
Related information
Outputs
Modeling acquired resistance to the second-generation androgen receptor antagonist enzalutamide in the TRAMP model of prostate cancer
Research output: Contribution to journal › Article › peer-review
ID: 22703508