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Precision pharmacology: Mass spectrometry imaging and pharmacokinetic drug resistanceJove, M., Spencer, Jade A., Clench, M., Loadman, Paul, Twelves, C. 10 July 2019 (has links)
Yes / Failure of systemic cancer treatment can be, at least in part, due to the drug not being delivered to the tumour at sufficiently high concentration and/or sufficiently homogeneous distribution; this is termed as “pharmacokinetic drug resistance”. To understand whether a drug is being adequately delivered to the tumour, “precision pharmacology” techniques are needed. Mass spectrometry imaging (MSI) is a relatively new and complex technique that allows imaging of drug distribution within tissues. In this review we address the applicability of MSI to the study of cancer drug distribution from the bench to the bedside. We address: (i) the role of MSI in pre-clinical studies to characterize anti-cancer drug distribution within the body and the tumour, (ii) the application of MSI in pre-clinical studies to define optimal drug dose or schedule, combinations or new drug delivery systems, and finally (iii) the emerging role of MSI in clinical research. / Spanish Medical Oncology Society (SEOM) for contribution with a grant for research abroad of Dr. Jove, “Instituto Carlos III” for contribution with a “Río Hortega” Grant (nº CM17/00008) for Dr. Jove
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Molecular prognostic markers in renal cell carcinomaLaird, Alexander January 2015 (has links)
Renal cell carcinoma (RCC) is the most deadly of urological malignancies. While metastatic disease affects one third of patients at diagnosis, a further third of patients who undergo extirpative surgery with curative intent subsequently develop metastatic disease. Inconsistency in the clinical course ensures predicting subsequent metastasis is notoriously difficult, despite the routine use of prognostic clinico-pathological parameters in risk stratification. With greater understanding of pathways involved in disease pathogenesis, a number of biomarkers have been proposed to be of prognostic significance; however there are currently no molecular prognostic markers in clinical use. Genetic intra-tumoural heterogeneity (genetic ITH) has been described in clear cell RCC (ccRCC) and may limit the clinical translation of biomarkers. There has been no assessment of ITH at other molecular levels. The aim of this work was to define and compare proteomic, transcriptomic and DNA methylation ITH in ccRCC, and identify potential prognostic biomarkers. Using reverse phase protein arrays to study protein expression in multiple spatially separate regions of primary and metastatic ccRCC, proteomic ITH was demonstrated for the first time. Interestingly there was no significant difference in proteomic ITH in metastatic ccRCC tumour deposits compared to primary tumours. However, on analysis of differential protein expression between primary and metastatic ccRCC tissue using a tissue microarray and automated analysis of immunofluorescence, there was significantly greater expression of Ki67, p53, VEGFR1, SLUG and SNAIL in the metastases compared to the primary tumours. Subsequent profiling of gene expression and DNA methylation in multiple areas of the same primary tumours confirmed transcriptomic and methylomic ITH. On comparison of this multimolecular ITH, significantly greater proteomic ITH was seen compared to gene expression and DNA promoter methylation heterogeneity. Recent evidence suggests DNA methylation may be prognostically important in RCC and given the lower methylomic ITH in ccRCC, the identification of prognostic DNA methylation changes in ccRCC were pursued using the Infinium HumanMethylation450K Beadchip. Following development of an analysis pipeline, identification and validation of prognostic differentially methylated regions (DMR) was performed on an experimental cohort and published dataset respectively. Five DMRs, which were associated with disease recurrence in ccRCC, were identified. NEFM gene promoter methylation was the only DMR associated with cancer specific survival, independent of TNM stage and nuclear grade on multivariate analysis, which was confirmed on a third independent published dataset. This thesis therefore demonstrates multi-molecular ITH in ccRCC for the first time. Despite this, NEFM promoter methylation may be a useful independent prognostic marker of cancer specific survival.
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Intra-tumoural regulatory T cells : a potential new target for anti-cancer immunotherapyIreland, Demelza Jane January 2007 (has links)
[Truncated abstract] Previous studies in the field of tumour immunology had identified regulatory T (Treg) cells as important suppressors of the anti-tumour immune response as the presence of Treg cells in the peripheral blood of cancer patients was correlated with worse disease outcomes. Other studies had identified Treg cells to be active at sites of immune regulation such as the gut of colitis patients. It was therefore hypothesised that Treg cells would be present and active within tumours to suppress the cellular antitumour immune response. ... This treatment targeting multiple pathways of Treg cell mediated immuno-suppression and resulted in tumour regression in 50% of treated animals. Finally, the anti-tumour immune response is complex and a potentially synergistic multi-modality treatment designed to inactivate intra-tumoural Treg cells but to also induce apoptosis in tumour cells themselves was investigated. Alpha-tocopheryl succinate (α-TOS), an analogue of vitamin E, had previously been shown to induce apoptosis in human MM xenografts implanted into immuno-deficient (nude) mice. Administration of α-TOS was therefore examined as a potentially synergistic treatment to be coupled with Treg cell inactivation. At the previously published doses used to treat immuno-deficient mice, α-TOS was found to be toxic to the immuno-competent mice used in this study. A marked depleting effect on total T cells was seen in the treated animals. The results of this thesis demonstrated the high potential for an adjunct immunotherapy of MM. They did however also highlight the importance of future studies into anticancer therapies to be conducted using clinically relevant tumour models and clinically relevant treatment regimes. The need to consider synergistic multi-modal therapies was also emphasised.
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