University of Sussex
Browse
Smalley,_Sarah.pdf (7.41 MB)

Investigating the use of connectivity mapping to manipulate MGMT protein levels in T98G glioblastoma multiforme cells

Download (7.41 MB)
thesis
posted on 2023-06-08, 16:37 authored by Sarah Smalley
Glioblastoma multiforme (GBM) is the most common and most aggressive type of primary brain tumour. It is currently treated by a mixture of ionising radiation and Temozolomide (TMZ) chemotherapy, however virtually all patients experience disease recurrence and 75% die within two years of diagnosis. Tumours which express elevated levels of the DNA repair protein O6-methylguanine DNA methyltransferase (MGMT) have a particularly poor prognosis, suggesting that levels of MGMT and the inefficacy of treatment are linked. MGMT is a “suicide” repair protein that binds irreversibly to a DNA adduct (such as those caused by TMZ) and is destroyed by the proteasome once repair has taken place. Therefore the ability of the cell to repair DNA damage relies on the rate at which it can resynthesise MGMT. Previous research has shown that reducing MGMT levels via promoter silencing increases the effectiveness of treatment, however this causes toxicity in bone marrow stem cells and is therefore unable to be used as a possible treatment option. My preliminary data suggests that inhibition of mTOR signalling reduces the steady state levels of MGMT without affecting mRNA levels, potentially making them more sensitive to TMZ treatment. I am therefore using inhibitors of the mTOR pathway and associated proteins, which have been selected via a novel bioinformatic technique, to ascertain how these affect MGMT protein levels and to determine whether a mixture of these inhibitors with DNA damaging agents could be used to increase the efficacy of TMZ treatment.

History

File Version

  • Published version

Pages

207.0

Department affiliated with

  • Biochemistry Theses

Qualification level

  • doctoral

Qualification name

  • phd

Language

  • eng

Institution

University of Sussex

Full text available

  • Yes

Legacy Posted Date

2014-01-24

Usage metrics

    University of Sussex (Theses)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC