What is not to like29 Nov 2018 13:24
'The Research
In a project spanning four countries, across two different continents, Professor Durrant’s team aim to develop a better understanding of molecules on the surface of tumours – known as ‘tumour antigens’ – that could be targets for treatments. The team will screen huge numbers of these tumour antigens and use machine learning tools to predict which of these would trigger a good immune response in individual patients with cancer. Alongside this, the team will be testing a variety of ways of delivering the treatment to make sure that their vaccine gets to the tumour as efficiently as possible.
Armed with this knowledge, the team will then test their ideas in investigator-initiated clinical studies – with a special focus on patients with head and neck cancer, pancreatic cancer, lung cancer and one type of brain tumour. This will provide crucial missing pieces of the puzzle as to how personalised cancer vaccines can impact patients.
Impact
This research could result in a paradigm shift in the way we treat cancer. If successful, these templates for cancer treatment will allow doctors to easily identify which antigens to target, and then which type of vaccine to use, to create truly bespoke vaccines for each patient. As this type of treatment will be personalised based on each patient’s unique tumour, this could radically improve survival on a global scale.'