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Brain tumours, even though rare, are one of the deadliest types of cancer. The five year survival rate for the most malignant type of brain tumours is below 5%. Modern medicine provides many options for treating brain cancer such as radiotherapy and chemotherapy. However, one of the most effective ways of fighting the disease is surgical resection. During such a procedure the tumour is partially or completely removed. Unfortunately, even after a complete resection some tumourous tissue is left behind and can grow back or metastasise to a different location in the brain. It has been shown, however, that more aggressive resections lead to longer life expectancy. This does not come without risks. Depending on tumour location, extensive resections can lead to transient or permanent post-operative neurological deficits. Therefore, when planning a procedure, the neurosurgeon needs to find balance between extending patients life and maintaining its quality. Recent developments in Magnetic Resonance Imaging (MRI) fueled by the field of human cognitive neuroscience have led to improved methods of non-invasive imaging of the brain function. Such methods allow the creation of functional brain maps of populations or individual subjects. Adapting this technique to the clinical environment enables the assessment of the risks and to plan surgical procedures. The following work aims at improving the use of functional MRI with a specific clinical goal in mind. The thesis begins with description of etiology, epidemiology and treatment options for brain tumours. This is followed by a description of MRI and related data processing methods, which leads to introduction of a new technique for thresholding statistical maps which improves upon existing solutions by adapting to the nature of the problem at hand. In contrast to methods used in cognitive neuroscience our approach is optimized to work on single subjects and maintain a balance between false positive and false negative errors. This balance is crucial for accurate assessment of the risk of a surgical procedure. Using this method a test-retest reliability study was performed to assess five different behavioural paradigms and scanning parameters. This experiment was performed on healthy controls and was aimed at selecting which paradigms produce reliable results and therefore can be used for presurgical planning. This allowed the creation of a battery of task that was applied to glioma patients. Functional maps created before the surgeries were compared with electrocortical stimulation performed during the surgeries. The final contribution of this work focuses on technical aspects of performing neuroimaging data analysis. A novel data processing framework which provides means for rapid prototyping and easy translation and adaptation of already existing methods taken from cognitive neuroscience field is introduced. The framework enables fully automatic processing of patient data and therefore greatly reduced costs while maintaining quality control. A discussion of future directions and challenges in using functional MRI for presurgical planning concludes the thesis.

<strong>Background:</strong> Malignant transformation of cells is typically characterised by aerobic glycolysis, resulting in supressed mitochondrial function, a state that helps resistance to apoptosis. This characteristic has been widely accepted as a hallmark of cancer and has been shown to be of critical importance in tumour development. The bioenergetic differences between normal and malignant cells are being exploited to identify potential cancer specific therapeutics. Improved in-vitro models are required to aid the identification and assessment of candidate drugs. In this project, we investigated the bioenergetic phenotypes of a panel of adult and paediatric cancer cell lines and evaluated the potential of 3D models as a platform for testing drugs that target cancer metabolism. We also investigated a novel method to assess mitochondrial function that enables the quantification of the level of oxygenation within the cell. <strong>Results:</strong> The results presented in this thesis show that not all cancers display this aerobic glycolytic phenotype. We found that while some cell lines displayed the Warburg phenotype others displayed high levels of oxidative metabolism. These bioenergetic profiles need to be considered when deciding which anti-cancer drugs to use in a chemotherapeutic regime. If a bioenergetic pattern can be identified it may one day form the basis of a screening strategy for tumours. Dichloroacetate (DCA) is a small molecule PDK inhibitor that was investigated in this study. It was found to be relatively non-toxic to cells cultured in 2D but had improved toxicity when the cells were cultured in a 3D environment. Lastly, we evaluated a new oxygen sensing nanoprobe, Mito-Xpress Intra, and the results demonstrate its potential as a non-invasive means of measuring oxygen concentrations within the cell in real time as well as highlighting some striking differences between applied ambient and measured intracellular oxygen concentrations. <strong>Conclusion:</strong> The findings suggest that not all cancers display the characteristic glycolytic phenotype. They also highlight the importance of controlling oxygen and glucose levels when evaluating metabolism and when drug testing.

The cancer stem cell (CSC) model of carcinogenesis and progression posits that within a tumor lies a subpopulation of cells that solely possess the ability to initiate a tumor and to differentiate into tumor cell lineages. Although the behavior of such cells is known, the challenge is to identify factors that characterize the CSC subpopulation. In this thesis, cell lines were identified that, when grown in three-dimensions, gave rise to organized colonies containing lumens originating from differentiating cells (“lumen lines”) and to densely-packed, spherical colonies originating from non-differentiating cells (“dense lines”). A microarray comparison of the pair identified genes upregulated in dense lines, including CD55 and BMI1, and in lumen lines, including CDX1 (Chapter 3). CD55 was used to isolate CD55high CSCs via flow cytometry that are able to self-renew, differentiate, initiate more colonies, proliferate more rapidly and exhibit an increased G2/M cell cycle population as opposed to unfractionated cells. Furthermore, the CD55high cells were able to give rise to more differentiated, lumen colonies in vitro, indicating that CD55 enriches for cells possessing a capacity to differentiate, and were able to enrich the CD24highCD44high putative CSC population further (Chapter 4). CDNA induction of BMI1 and CDX1 expression led to increased clonogenicity/proliferation and decreased clonogenicity/proliferation, respectively, and incorporation of a CDX1 reporter construct into the SW1222 cell line identified CDX1+ cells as a low-expressing population of CD55 (Chapter 5). Finally, co-culture of cell lines in an in vivo-like environment with intestinal myofibroblasts promoted the CSC population by enhancing clonogenicity, proliferation and expression of CD55 (Chapter 6). The results of this thesis implicate CD55 as a potent marker of colorectal cancer stemness, link the expression of BMI1 and CDX1 to cancer stemness and differentiation, respectively, and identify a role for the in vivo stem cell niche in maintaining the CSC population.

DNA is wrapped around proteins called histones, whose modification regulates numerous cellular processes. Therefore it is not surprising that mutations in the genes that modify the histones are frequently associated with human cancer. For example, mutations in SETD2, encoding the sole enzyme that catalyses histone H3 lysine 36 trimethylation (H3K36me3), occur frequently in multiple cancer types. This identifies H3K36me3 loss as an important event in cancer development, and also as a potential therapeutic target. This thesis investigates the following questions: (1) how does the loss of H3K36me3 contribute to cancer development; and (2) what therapy can be used to kill cancers that have already lost H3K36me3. To answer the first question, this thesis shows that H3K36me3 facilitates the accurate repair of DNA double-stranded breaks (DSBs) by homologous recombination (HR). H3K36me3 promotes HR by recruiting CtIP to the site of DSBs to carry out resection, allowing the binding of HR proteins (such as RPA and RAD51) to the damage sites. Thus it is proposed that error-free HR repair within H3K36me3-decorated transcriptionally active genomic regions suppresses genetic mutations which could promote tumourigenesis. To answer the second question, this thesis reveals a clinically relevant synthetic lethal interaction between H3K36me3 loss and WEE1 inhibition. WEE1 inhibition selectively kills H3K36me3-deficient cells by inhibiting DNA replication, and subsequent fork stalling results in MUS81 endonuclease-dependent DNA damage and cell death. The mechanism is found to be synergistic depletion of RRM2 (ribonucleotide reductase small subunit), the enzyme that generates deoxyribonucleotides (dNTPs). This work reveals two pathways that regulate RRM2: one involves transcriptional activation of RRM2 by H3K36me3, and the other involves RRM2 degradation regulated by Cyclin-Dependent Kinase, CDK1 (which is controlled by WEE1, CHK1 and ATR). Based on this mechanism, the synthetic lethal interaction is expanded, from between two genes, to between two pathways. Supported by in vivo experiments, the study suggests that patients with cancers that have lost H3K36me3 could benefit from treatment with the inhibitors of WEE1, CHK1 or ATR.