Active Cancer Diabetes, Hormones & Metabolism

Innovative metabolic mapping to predict and enhance the response of targeted anti-cancer therapies

In plain English

AI plain-English summary

Breast cancer tumours alter their metabolism to resist drugs, and this project will track those metabolic changes in real time to predict which therapies will fail. The problem is that two patients with the same cancer type can respond completely differently to the same drug. The difference often lies not in the tumour’s genetics but in how it processes nutrients—its metabolism. Current tests largely ignore this. The project will use advanced imaging and tracing tools to map how breast cancer cells consume glucose, fats, and other nutrients, and how the surrounding tissue environment influences that consumption. If successful, this work could reveal metabolic “weak spots” that make tumours vulnerable to specific drugs. In the longer term, it might lead to treatment strategies that combine targeted therapies with dietary changes—for example, restricting certain nutrients to starve resistant cells. This would give oncologists a new, non-genetic lever to slow tumour growth and overcome drug resistance, without requiring new drugs. The research is fundamental in nature, but it directly addresses a practical clinical gap: why some tumours stop responding to treatment.

View original technical description
Evidence suggests that the way cells consume and process nutrients, collectively known as metabolism, differs between healthy and tumour cells and can even change the way they communicate with adjacent cells, grow, and importantly, respond to therapy. Nutrient availability in the environment where the tumour is growing can also have a fundamental impact on the effectiveness of anti-cancer therapies. This project will draw on the strengths of innovative tools and methods to track the metabolism of breast cancer tumours and pre-clinical models, and identify the metabolic determinants that guide the response to anti-cancer therapies. In this context, it will assist with gaining insight into how certain drugs affect tumour metabolism, and ultimately, how the metabolism of a tumour and its surrounding affect its response to therapy. In the longer term this knowledge will expose weaknesses in the tumour's armour and unveil more effective therapeutic strategies where diet and metabolic targets could help circumvent drug resistance and slow down tumour growth.

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Researchers

George Poulogiannis (Principal Investigator)

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Original classification

Fellowship

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