469 research outputs found

    Potential sources of cessation support for high smoking prevalence groups: a qualitative study

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    Objective: This study aimed to: i) explore potential sources of cessation support as nominated by disadvantaged smokers; and ii) identify factors influencing decisions to use these sources. Methods: Semi-structured interviews were conducted with 84 smokers accessing community service organisations from the alcohol and other drugs, homeless, and mental health sectors. Transcripts were coded and thematically analysed. Results: Doctors emerged as the most commonly recognised source of cessation support, followed by Quitline, community service organisation staff; and online resources. The main factors contributing to the possible use of these sources of support were identified as awareness, perceived usefulness and anticipated emotional support. Conclusions: The results suggest that doctors are an important group to consider when developing cessation interventions for disadvantaged smokers due to their recognised ability to provide practical and emotional support. However, efforts are needed to ensure doctors are aware of the benefits of cessation for these groups. Community service organisations appear to be another potentially effective source of cessation support for disadvantaged smokers. Implications for public health The results indicate that cessation interventions among high-priority groups should endeavour to provide personalised emotional and practical support. Doctors and community service organisation staff appear to be well-placed to deliver this support

    Simulation of heterogeneous tumour genomes with HeteroGenesis and in silico whole exome sequencing

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    Summary: Tumour evolution results in progressive cancer phenotypes such as metastatic spread and treatment resistance. To better treat cancers, we must characterize tumour evolution and the genetic events that confer progressive phenotypes. This is facilitated by high coverage genome or exome sequencing. However, the best approach by which, or indeed whether, these data can be used to accurately model and interpret underlying evolutionary dynamics is yet to be confirmed. Establishing this requires sequencing data from appropriately heterogeneous tumours in which the exact trajectory and combination of events occurring throughout its evolution are known. We therefore developed HeteroGenesis: a tool to generate realistically evolved tumour genomes, which can be sequenced using weighted-Wessim (w-Wessim), an in silico exome sequencing tool that we have adapted from previous methods. HeteroGenesis simulates more complex and realistic heterogeneous tumour genomes than existing methods, can model different evolutionary dynamics, and enables the creation of multi-region and longitudinal data

    Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data

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    Intratumour heterogeneity provides tumours with the ability to adapt and acquire treatment resistance. The development of more effective and personalised treatments for cancers, therefore, requires accurate characterisation of the clonal architecture of tumours, enabling evolutionary dynamics to be tracked. Many methods exist for achieving this from bulk tumour sequencing data, involving identifying mutations and performing subclonal deconvolution, but there is a lack of systematic benchmarking to inform researchers on which are most accurate, and how dataset characteristics impact performance. To address this, we use the most comprehensive tumour genome simulation tool available for such purposes to create 80 bulk tumour whole exome sequencing datasets of differing depths, tumour complexities, and purities, and use these to benchmark subclonal deconvolution pipelines. We conclude that i) tumour complexity does not impact accuracy, ii) increasing either purity or purity-corrected sequencing depth improves accuracy, and iii) the optimal pipeline consists of Mutect2, FACETS and PyClone-VI. We have made our benchmarking datasets publicly available for future use

    Comparison of Tobacco Control Scenarios: Quantifying Estimates of Long-Term Health Impact Using the DYNAMO-HIA Modeling Tool

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    There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting quitters and starters simultaneously. The possibility for dynamic quantification of such different interventions is key for comparing the timing and size of their effects

    Elucidating drivers of oral epithelial dysplasia formation and malignant transformation to cancer using RNAseq

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    Oral squamous cell carcinoma (OSCC) is a prevalent cancer with poor prognosis. Most OSCC progresses via a non-malignant stage called dysplasia. Effective treatment of dysplasia prior to potential malignant transformation is an unmet clinical need. To identify markers of early disease, we performed RNA sequencing of 19 matched HPV negative patient trios: normal oral mucosa, dysplasia and associated OSCC. We performed differential gene expression, principal component and correlated gene network analysis using these data. We found differences in the immune cell signatures present at different disease stages and were able to distinguish early events in pathogenesis, such as upregulation of many HOX genes, from later events, such as down-regulation of adherens junctions. We herein highlight novel coding and non-coding candidates for involvement in oral dysplasia development and malignant transformation, and speculate on how our findings may guide further translational research into the treatment of oral dysplasia

    RAD51 Is a Selective DNA Repair Target to Radiosensitize Glioma Stem Cells.

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    Patients with glioblastoma die from local relapse despite surgery and high-dose radiotherapy. Resistance to radiotherapy is thought to be due to efficient DNA double-strand break (DSB) repair in stem-like cells able to survive DNA damage and repopulate the tumor. We used clinical samples and patient-derived glioblastoma stem cells (GSCs) to confirm that the DSB repair protein RAD51 is highly expressed in GSCs, which are reliant on RAD51-dependent DSB repair after radiation. RAD51 expression and RAD51 foci numbers fall when these cells move toward astrocytic differentiation. In GSCs, the small-molecule RAD51 inhibitors RI-1 and B02 prevent RAD51 focus formation, reduce DNA DSB repair, and cause significant radiosensitization. We further demonstrate that treatment with these agents combined with radiation promotes loss of stem cells defined by SOX2 expression. This indicates that RAD51-dependent repair represents an effective and specific target in GSCs

    Salmonella biofilms

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    Biofilm formation by Salmonellaspp. is a problem in the food industry, since biofilms may act as a persistent source of product contamination. Therefore the aim of this study was to obtain more insight in the processes involved and the factors contributing to Salmonellabiofilm formation. A collection of SalmonellaTyphimurium clinical, outbreak-related and retail product isolates, was used to determine biofilm formation capacity and to identify cellular parameters contributing to surface colonisation. The results revealed dense biofilm formation by these isolates at 25 °C and 37 °C in nutrient-rich media. However, in nutrient-low media dense biofilm formation was only observed at 25 °C with industrial isolates. In addition, temperature and medium composition were also found to influence biofilm morphology and composition. At nutrient-low conditions at 25 °C the biofilm consisted of cell clusters encapsulated by an extracellular matrix composed of curli fimbriae and cellulose. In nutrient-rich conditions a monolayer of cells with little to no extracellular matrix were observed, with a prominent role for type 1 fimbriae. This type of fimbriae was only expressed in a subset of strains and appeared to contribute to initial attachment of Salmonellacells ultimately leading to dense biofilm formation. This study also indicated that biofilm formation differs between and within the Salmonellaserovars Typhimurium, Derby, Brandenburg and Infantis, isolated from meat processing environments. And, for all serovars biofim formation contributed to the survival on stainless steel surfaces and biofilm cells were less susceptible to peracetic acid disinfection treatments. This latter effect was specifically observed in the presence of organic matter, which drastically decreased the activity of peracetic acid conceivably resulting in low level exposure of the bacterial flora facilitating survival. Furthermore, single and repeated exposure to sub-lethal concentrations of the disinfectant benzalkonium chloride rapidly selected for resistant variants. In conclusion, the results obtained in this study may contribute to the development of better strategies for Salmonella control in food processing environments.</p
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