Completed Cancer Genetics & Molecular Biology

Investigating the role of epigenetic remodelling in glioblastoma in response to therapy

In plain English

AI plain-English summary

Glioblastoma tumours rewire their own genes to survive chemotherapy and radiotherapy, and a researcher has now identified the specific set of genes involved. This matters because glioblastoma is the most common and deadly form of brain cancer. Tumours grow back within 6 to 9 months after treatment, and brain tumours kill more people under 40 than any other cancer. Drugs targeting DNA mutations have failed to improve survival, suggesting the mutations are not what drives the tumour’s resistance. The researcher has collected paired tumour samples—before and after treatment—from multiple patients. They found a set of genes that change universally in response to therapy, but the direction of change (switching on or off) varies between patients, splitting them into two classes. The project will test whether a patient’s class predicts survival or which therapy will work best. If the gene changes are essential for tumour survival, blocking them could make glioblastoma cells vulnerable to standard treatments. The researcher will grow tumours in the lab, prevent the gene changes from occurring, then apply chemo- and radiotherapy to see if more cancer cells die. The ultimate goal is to adapt or develop drugs that restrict these changes in patients, making existing treatments more effective.

View original technical description
Glioblastoma (GBM) is the most common and most deadly form of brain cancer. GBM tumours are solid but many of the cancer cells break away and invade the surrounding normal brain tissue, making complete surgical removal impossible. After surgery, patients commonly receive radio- and chemo-therapy but GBM tumours typically grow back within 6 to 9 months and are fatal. This is why brain tumours kill more people aged under 40 than any other cancer. New drugs that were developed to target the DNA mutations that are commonly found in GBM tumours have failed to increase patient survival. It is now thought that this is because, although such mutations may have caused the tumour to form, they are not responsible for its continued growth and ability to resist treatment. To specifically identify what properties of GBM cancer cells do enable them to resist treatment, I have collected, characterised and compared paired GBM tumours from multiple patients i.e. the first tumour that was diagnosed and removed and the post-treatment recurrent tumour from cases where the latter also underwent surgery. I have found that a specific set of genes are universally altered in GBM by treatment, but whether they become more switched on or more switched off after therapy is patient dependent and enables them to be split into two classes. I will determine whether assignment to one class versus another alters the likely survival for GBM patients or can be used to better predict the likely benefit of treatment with one type of therapy versus another. Furthermore, if the changes that I have observed in the specific genes are actually required by the GBM cells in order for them to survive treatment, then developing drugs to inhibit the changes may provide a more effective treatment for GBM. I plan to use my fellowship to test just that. I will use both computational analysis of patient datasets to reveal the biology underpinning the observed gene changes and further profiling of GBM tumour pairs to confirm whether the changes are driven by a single master regulator protein. I will then grow GBM tumours in the laboratory and use experimental approaches to stop them being able to undergo the observed changes, before administering the same radio- and chemo-therapy that patients receive to see if more cells die versus tumours where the changes are allowed to take place. Finally, I will determine whether drugs can be adapted or developed that restrict the gene changes in patients, making their GBM tumours more susceptible to killing as part of more effective treatment strategies.

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Researchers

Lucy Stead (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Characterising glioblastoma responder subtypes at single cell resolution to facilitate personalised medicine
Deciphering Immune Reactivities and Regulatory Contexture in Brain Tumours to Advance the Development of Novel Immunotherapies.
Equipment supplement: The role of SOX and FOX genes in orchestrating transcriptional and epigenetic programs in glioblastoma
Identifying the key mechanisms that govern T-cell mediated immune suppression in Glioblastoma
Investigating alternative modes of radiotherapy and the combination with DNA repair inhibitors in enhancing the treatment of glioblastoma

Original classification

Fellowship

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