Research Projects

Artificial Intelligence

Guillermo Gomez

Artificial Intelligence (AI) plays a crucial role in cancer research as it helps to improve diagnosis accuracy, identify potential treatment options, and predict patient outcomes.

AI algorithms can analyse vast amounts of data, including medical imaging, genomic information, and patient histories, and identify patterns that are not easily recognisable to human doctors. This enables researchers to make more informed decisions and develop more effective treatments.

Biomarkers

Biomarkers are objective and measurable indicators of a normal or abnormal process occurring within a biological system.

In brain cancer research, some biomarkers of interest can include nucleic acids, proteins and tumour-derived extracellular vesicles (EV) that accumulate in blood or cerebrospinal fluid.

Information on a patient’s biomarkers may help diagnose a brain tumour, provide prognosis information, predict whether a specific treatment may work and determine when the disease has recurred.

Heterogeneity

Tumour Heterogeneity refers to the fact that different cells within a single tumour can have different genetic and functional characteristics. This can lead to differences in response to treatments, prognosis, and ultimately, patient outcome.

Studying tumour heterogeneity is important because a better understanding of the underlying mechanisms and variations within a tumour can inform more effective and personalised treatment strategies and improve outcomes for patients.

Imaging

Cutting-edge Imaging technologies are an essential tool in the diagnosis, surgical planning and treatment follow-up for brain cancer patients. The current standard of care relies heavily on conventional MRI, with more advanced MR techniques including perfusion and diffusion weighted imaging as well as spectroscopy being increasingly utilised in clinical and research capacities.

Immunology

Immunology is important in brain cancer research because it provides a better understanding of how the immune system can be utilised to treat brain tumours. Brain tumours are often referred to as "immunologically privileged" because they are protected from attack by the immune system.

This protection is due to several factors, including the blood-brain-barrier, which restricts the passage of immune cells into the brain, and the presence of inhibitory signals produced by the tumour cells themselves.

However, recent advances in immunology have shown that the immune system can be harnessed to attack brain tumours, and this has led to the development of new immunotherapies for brain cancer.

These therapies work by boosting the immune system's ability to recognise and attack the tumour cells, and they have shown promising results in clinical trials. Therefore, a deeper understanding of the immune system and how it can be utilised in the treatment of brain cancer is a crucial area of research in this field.

Radiation

Radiation is one of the most commonly used treatments for brain tumours. Radiation therapy uses high-energy radiation to kill cancer cells and shrink tumours. This treatment can be delivered externally, using a machine that delivers the radiation from outside the body, or internally, using a radioactive source placed directly into the tumour.

Radiation therapy is often used in combination with other treatments, such as chemotherapy and surgery, to maximise the effectiveness of the treatment. In brain cancer research, radiation plays a crucial role in developing and refining new techniques for delivering radiation to the tumour, such as stereotactic radiosurgery and intensity-modulated radiation therapy.

Genetic Models

Genetic Models help identify and interrogate specific genetic changes that lead to the development and progression of brain tumours. These models can be used to study the effects of genetic changes on tumour behaviour, which can provide insight into the underlying mechanisms of the disease and inform the development of new treatments.

Additionally, genetic models can be used to test the efficacy of new drugs and therapies, allowing researchers to assess their safety and effectiveness before conducting clinical trials in human patients.

Drug Discovery

The Drug Discovery arm of ABCARA is integral to the success of future clinical trials. Due to lack of funding, appropriate infrastructure and the complexity of brain cancer as a disease, there has been very little in the way of progress in this area since the discovery of temozolomide (TMZ) in 1980.