More than 50% of patients with cancer receive radiotherapy to kill tumor cells. Several mathematical models predicting post-irradiation cell survival are used clinically to plan treatment; however, they often neglect the tumor microenvironment, which can modulate radiotherapy response. A key driver of radioresistance in solid tumors is hypoxia.
In this project, we focus on the effect of...
The reciprocal interactions between ionising radiation (IR) and glucose metabolism in mammalian cells have gained interest over these last decades. While reactive oxygen species (ROS) and HIF-1α emerge as key mediators in these interactions, the influence of ROS on HIF-1α following irradiation is still being debated. Different types of intermediate entities between ROS and HIF-1α have been...
To predict radiotherapy patient outcomes under clinically realistic right-censoring, we
model longitudinal gross tumor volume (GTV) dynamics using a geometric adversarial
learning framework rather than predefined mathematical growth equations. In this setting, patient trajectories are observed only up to a given follow-up time, after which
tumor evolution continues but remains unobserved....
We will present a modelling
study to provide a longitudinal response quantification of
efficacy for single and combination therapies of 11 compounds and
radiation (at different doses). This is based on the design of a
flexible ODE model accounting for different mechanisms of cell
death/modes of action induced by the different treatments, paired
with a modelling of synergies and...
More than 50% of cancer patients undergo radiotherapy. However, radioresistance too often leads to tumor recurrence and poor prognosis. Recent studies (for reviews, see [1,2]) have highlighted the key role of glycolytic reprogramming in modulating tumor cell responses to radiation. In tumors, under hypoxic and nutrient-limited conditions, cells enhance glycolysis and lactate production in...
