Periodic Reporting for period 1 - ImmunoGBMet (Understanding iNKT cell Metabolic features in GlioBlastoMa tumours to improve Immunotherapy)
Berichtszeitraum: 2023-10-01 bis 2025-09-30
Among the many immune cell types that participate in anti-tumour responses, NK and NKT cells are especially interesting. However, very little is known about how these cells behave inside glioblastoma tumours, or how the metabolic conditions created by the tumour affect their function. Recent research suggests that lipids and other metabolites build up inside tumours and interfere with the metabolic pathways immune cells rely on. When these pathways are disrupted, immune cells can become dysfunctional and unable to mount a proper response.
This project set out to understand how the metabolic environment inside glioblastoma tumours alters the behaviour of immune cells, and how these alterations contribute to their reduced effectiveness. The project aimed to identify which metabolic pathways are most affected when immune cells enter the tumour. With this knowledge, the project intended to explore new strategies for engineering immune cells that are more resistant to the harsh tumour environment.
The overarching objective was to build the scientific foundation for improving immunotherapy approaches for glioblastoma. By uncovering the metabolic weaknesses imposed on NK and NKT cells and exploring ways to reinforce them, the project contributes to long-term efforts to create more durable and effective immune-based treatments for aggressive cancers. Beyond glioblastoma, the findings may also inform future strategies for boosting immune responses in other diseases where metabolism plays a critical role.
In parallel, an orthotopic in vivo model of glioblastoma was established to study how the tumour environment shapes immune responses in a more physiological context. Using flow cytometry, the project analysed how major immune cell types, including natural killer (NK) cells and T cells, were altered within the tumour. This allowed the identification of immune features associated with tumour-induced suppression.
Together, these complementary approaches provided a multi-level view of how glioblastoma disrupts immune function.
The results open new possibilities for next-generation immunotherapies, including engineering immune cells to withstand suppressive metabolic cues or designing interventions that modulate tumour-associated metabolites.