Immunotherapy is a type of cancer treatment that stimulates a patient’s immune system to attack tumours.
While promising, its effectiveness varies among patients.
The new VUB technology helps identify in advance which patients are likely to benefit from this treatment.
The study introduces an innovative tracer targeting CD163, a molecular receptor on tumour-associated macrophages—immune cells that support tumour growth and protection.
The tracer is based on nanobodies, small and versatile antibodies derived from camelids like llamas, which can penetrate deep into tissues.
Using scans, researchers can measure the quantity of these macrophages within a tumour.
A higher number of macrophages suggests the tumour is more resistant to treatment, making immunotherapy less effective.
This allows doctors to predict which patients will respond best to the therapy.
“You can compare a tumour to a secret gang, not just made up of cancer cells but also other cells working together. Some of these cells, the tumour-associated macrophages, pretend to be on the good side but actually help the tumour grow and shield it from treatments. Our new nanobody tracer acts like a detective, locating and highlighting these macrophages using specialised scans. This helps us understand their behaviour and how to target them. For patients, this means we can better predict which treatment will work best, avoiding unnecessary treatments and side effects,” explains Professor Timo De Groof from the Molecular Imaging and Therapy research group (MITH) at VUB.
Benefits of the Nanobody Tracer:
A Significant Step Toward Personalised Medicine
Professor Nick Devoogdt, head of the MITH research group, highlights that this discovery marks an important step toward personalised medicine.
“This technology enables us to tailor therapies to individual patients, making treatments more effective,” he says.
Professor Jo Van Ginderachter of the VIB Centre for Inflammation Research and the Brussels Centre for Immunology adds, “This opens new doors not only in oncology but also in other diseases involving the immune system.”
The project was supported by funding from the EU/EFPIA Immune-Image programme and the FWO.
Found in the journal, Proceedings of the National Academy of Sciences.
Source: Vrije Universiteit Brussel
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