Periodic Reporting for period 1 - ITHACA (Digital Twin Technology to Predict Individual Response to Pharmacological Treatments in Ovarian Cancer)
Période du rapport: 2021-09-01 au 2023-08-31
Treatment personalisation has been shown in multiple settings to improve outcomes, but its application in HGSOC is hampered by the limited number of established markers of treatment response.
ITHACA aims to bridge this gap by developing a computational framework that relies on patient-specific features to calibrate a digital twin and infer the response to different therapeutic options.
Results obtained using ALISON have been presented at the Annual Scientific Meeting of ANZGOG (March 2023, Brisbane, AU), the UNSW Cancer Symposium (June 2023 Sydney) and the Annual NSW cancer conference (September 2023 Sydney AU).
- “Computational modelling and simulations as tools for treatment personalisation in ovarian cancer” M.Cortesi D. Liu, E. Powell, K. Warton and C. Ford
A panel of HGSOC cell lines was used to characterise in vitro behaviour at different disease stages. A preliminary analysis, conducted only in PEO4 cells, has been recently published.
“ A comparative analysis of 2D and 3D experimental data for the identification of the parameters of computational models” Cortesi M., Liu D., Yee C., Marsh D., and Ford C. (2023) Accepted for publication by Scientific Reports.
- “Computational modelling and simulations as tools for treatment personalisation in ovarian cancer” M.Cortesi D. Liu, E. Powell, K. Warton and C. Ford. Presented at the Annual Scientific Meeting of ANZGOG (March 2023, Brisbane, AU), the UNSW Cancer Symposium (June 2023 Sydney) and the Annual NSW cancer conference (September 2023 Sydney AU).
The dataset used for the analysis is also freely available on Zenodo (doi: 10.5281/zenodo.7939591).
A cohort of HGSOC patients was recruited. HGSOC cells were isolated and dose response curves were measured. Relevant clinical data were also collected.
Results obtained from these primary samples have been presented at the Annual Scientific Meeting of ANZGOG (March 2023, Brisbane, AU), the UNSW Cancer Symposium (June 2023 Sydney) and the Annual NSW cancer conference (September 2023 Sydney AU).
- “Computational modelling and simulations as tools for treatment personalisation in ovarian cancer” M.Cortesi D. Liu, E. Powell, K. Warton and C. Ford.
A digital twin calibration procedure was also developed. It relies on common clinical information to identify the parameters that better match each patient.
Results obtained using this procedure, or an earlier version, have been presented at the Annual Scientific Meeting of ANZGOG (March 2023, Brisbane, AU), the UNSW Cancer Symposium (June 2023 Sydney) and the Annual NSW cancer conference (September 2023 Sydney AU).
- “Computational modelling and simulations as tools for treatment personalisation in ovarian cancer” M.Cortesi D. Liu, E. Powell, K. Warton and C. Ford.
The development of this tool will continue during the final year of the project and it will focus on two main areas:
ALISON accuracy study. Aimed at evaluating the performance of this tool and testing its dependence on the available clinical information.
Expansion of the library of supported treatments.