Objectives: Simple blood markers derived from routine hematology or biochemistry have been reported to be prognostic factors of overall survival (OS) in cancer patients [1,2]. However, most studies only use baseline (BSL) values. The only longitudinal biomarker that has been extensively used and modeled to date is tumor size kinetics…
Read moreOral: Drug/Disease Modelling - Oncology
The combined use of propensity score matching and a joint tumor growth dynamics (TGD) – Overall Survival (OS) model to benchmark the efficacy of new treatments for advanced renal cell carcinoma (RCC)
Objectives: Modeling tumor growth dynamics in different tumor types and under various therapeutic interventions has been an active area of…
Read moreDo tree-based machine learning methods outperform Cox regression for progression-free survival prediction in mobocertinib treated lung cancer patients?
Objectives: Prediction of survival curves, overall survival (OS) and progression-free survival (PFS), based on pre-trained models could help to refine…
Read moreOptimizing Molecule Design for Bispecific Antibodies in Immuno-Oncology: A Case Study with FAP-4-1BBL
Objectives: FAP-4-1BBL is a T-cell bispecific antibody exerting 4-1BB costimulation only while simultaneously bound to the Fibroblast Activation Protein (FAP)…
Read moreTarget-response relationship of bevacizumab may be more relevant than exposure-response – a target-mediated drug disposition (TMDD) model
Introduction: Bevacizumab (BV), an anti-angiogenic monoclonal antibody targeting vascular endothelial growth factor (VEGF), has been approved for the treatment of metastatic…
Read moreJoint modelling of individual target lesions and survival to characterize the variability in the response to immunotherapy versus chemotherapy in advanced bladder cancer
Context: In oncology, a common marker of tumor burden is the Sum of Longest Diameters (SLD) of target lesions, and…
Read moreA joint tumour dynamics and C-reactive protein turnover model to identify early longitudinal prognostic predictors of overall survival in advanced non-small cell lung cancer patients
Background C-reactive protein (CRP), a marker of inflammation, positively correlates with disease aggressiveness and poor prognosis in advanced cancers including…
Read moreModelling real-world tumor size dynamics based on electronic health records and image data in advanced melanoma patients receiving immunotherapy
Objectives: Immune checkpoint inhibitors (ICIs) such as ipilimumab (CTLA4 inhibitor), nivolumab or pembrolizumab (PD1 inhibitors) have revolutionized cancer therapy with…
Read moreDevelopment and Application of a Minimal Physiology-based Pharmacokinetics Modelling Framework to Predict Tumor Penetration and Receptor Occupancy.
Objectives: In oncology drug development, rapid dose optimization is pivotal to allow timely patient benefit. For this, the FDA’s Project…
Read moreA physiologically-based pharmacokinetic/pharmacodynamic framework to support clinical development of V937, a novel oncolytic virus
Objectives: Immuno-oncology (IO), based on the activation of the endogenous anti-tumor immune response, is a growing strategy in cancer treatment….
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