What we do

Cancer cells exhibit altered transcriptional profiles when compared to their tissue of origin. Genetic alterations participate in promoting defective transcription, however they don't explain the full spectrum of aberrations found in malignant tissues. Gene expression is also controlled via modifications of the chromatin landscape including DNA methylation, histone modifications and chromatin remodelling. Our objective is to characterize the role of the chromatin landscape in oncogenesis and to understand how cancer cells reprogram the chromatin landscape to stop the treatment from working.

We have used breast cancer models to demonstrate that epigenetic reprogramming of the chromatin landscape promotes the expression of genes directly related to resistance to endocrine therapies. We can create epigenomic maps to study the regulatory networks of cancer cells and determine how these networks respond to therapies. Ultimately, we want to exploit epigenetic mapping to identify drug-responsive targets, biomarkers and develop novel compounds to interfere with reprogramming.

We are also interested in understanding the extent of interactions existing between genetic and epigenetic alterations. It is likely that cancer cells exploit both genetic and epigenetic mutations to promote proliferation, adaptation and invasion. 




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News from our lab

Dr Luca Magnani has been awarded the Cancer Research UK Career Development Fellowship

Cancer Research UK Career Development Fellowship awarded to support new cancer research group. Dr Luca Magnani has been awarded the […]

This is Pretty Muddy!! Proud of you girls

Researchers from  Charing Cross Hospital and Imperial College fought dirty at Race for Life Pretty Muddy in Hammersmith for Cancer […]

A new review has been published

Hypercholesterolemia is clinically linked to breast cancer progression. Starting from our results published on Nature Communications, the focus of this review […]

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Science reports in press, so frustrating!!

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DeepSEA a new powerful tool able to predict non-coding DNA

Promising tool aimed toward the goal of functionally annotating non-coding DNA. It could become a mainstaple for laboratories dedicated to […]

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