Interactive Oncology Tumour Dashboard Félix Jaminion PhUSE Edinburgh – 08/10/2017
Plan • Background • Data • Demo • Conclusion 2 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology • Help Clinical Teams to understand the Pharmacokinetic behaviour of drugs • Try to answer some questions such as: – What is the best dose? – What is the best formulation? – What is the best dosing interval? • Perform Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling activities • Also known as the « PK guys » 3 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology 4 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology 5 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology 6 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology 7 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Background Clinical Pharmacology 8 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Data SDTM / ADAM • Use clinical data from different domains – DM – VS – EX – PC – LB – TR • Deliver ready to use analysis dataset – Describing all the events that occurred for all the patients during a study 9 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Data Example of modeling file VALU PT TIMED TAFDD CMT LABEL AMT E 601 ... ... ... ... ... 601 363.83 362.94 1 Dose 300 601 364.33 363.44 1 Dose 300 601 364.78 363.89 2 PK 562 601 364.83 363.94 1 Dose 300 601 365 364.1 3 SLD 27.42 601 365 364.1 4 CFBL -75.2 601 365 364.1 5 Target Les. 7.55 601 365 364.1 5 Target Les. 7.81 601 365 364.1 5 Target Les. 0 601 365 364.1 5 Target Les. 12.06 601 365 364.1 6 Overall Resp. 4 601 365 364.1 7 New Les. 1 601 365.33 364.44 1 Dose 300 601 365.83 364.94 1 Dose 300 601 366.33 365.44 1 Dose 300 601 ... ... ... ... ... 10 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Demo Interactive Oncology Tumour Dashboard • Create an interactive and dynamic visualization for tumour modeling files • Summarizing many different information: – Baseline Covariates – PK Exposure – RECIST Criteria • Overall Response (OR) • Best Overall Response (BOR) • Appearance of non target New Lesions (NL) – Target Lesions (TL) – Sum of Longest Diameter (SLD) – SLD %-Change From Baseline (CFBL) 11 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Conclusion Interactive Oncology Tumour Dashboard • User friendly tool to display and visualize interactively individual and population tumour data • Helping data exploration and data quality check • Next steps: – Add new elements (tumor location, method of identification or key endpoints) – Link the modeling results with the dashboard – Allow a complete customization – R-Shiny App 12 Félix Jaminion, PhUSE Edinburgh – 08/10/2017
Doing now what patients need next Félix Jaminion, PhUSE Edinburgh – 08/10/2017
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