118 research outputs found

    Therapeutic applications of SAMMSON lncRNA inhibition in uveal melanoma

    Get PDF

    High-content drug screening in zebrafish xenografts reveals high efficacy of dual MCL-1/BCL-XL inhibition against Ewing sarcoma

    Full text link
    Ewing sarcoma is a pediatric bone and soft tissue cancer with an urgent need for new therapies to improve disease outcome. To identify effective drugs, phenotypic drug screening has proven to be a powerful method, but achievable throughput in mouse xenografts, the preclinical Ewing sarcoma standard model, is limited. Here, we explored the use of xenografts in zebrafish for high-throughput drug screening to discover new combination therapies for Ewing sarcoma. We subjected xenografts in zebrafish larvae to high-content imaging and subsequent automated tumor size analysis to screen single agents and compound combinations. We identified three drug combinations effective against Ewing sarcoma cells: Irinotecan combined with either an MCL-1 or an BCL-XL inhibitor and in particular dual inhibition of the anti-apoptotic proteins MCL-1 and BCL-XL, which efficiently eradicated tumor cells in zebrafish xenografts. We confirmed enhanced efficacy of dual MCL-1/BCL-XL inhibition compared to single agents in a mouse PDX model. In conclusion, high-content screening of small compounds on Ewing sarcoma zebrafish xenografts identified dual MCL-1/BCL-XL targeting as a specific vulnerability and promising therapeutic strategy for Ewing sarcoma, which warrants further investigation towards clinical application. Keywords: Anti-apoptotic protein inhibitors; Ewing sarcoma; High-content imaging; Phenotypic drug screening; Zebrafish xenograft

    mTor inhibitor GDC-0349 improves ASO induced SAMMSON knock down resulting in enhanced anti-tumor efficacy in uveal melanoma

    Get PDF
    Uveal melanoma (UM) is the most common intraocular malignancy in adults. The lack of an effective treatment results in a median survival time of less than one year for patients with metastatic disease and shows the high unmet need for the development of effective treatments. Recently, the melanoma-specific lncRNA SAMMSON was shown to be essential for skin melanoma survival. Analysis of a PAN cancer RNA-sequencing dataset revealed consistent expression of SAMMSON in uveal melanoma tumors. Targeting SAMMSON by means of antisense oligonucleotides (ASOs) results in a strong reduction in cell viability with induction of apoptosis of UM cells and slows down tumor growth in multiple UM PDX models. These effects were driven by impaired mitochondrial function and protein translation, resulting in cell death. To identify potential synergistic combinations, we combined SAMMSON knockdown with a library of 2911 FDA-approved drugs and quantified cell viability in a uveal melanoma cell line. The strongest synergy was obtained with the mTOR inhibitor GDC-0349. Combining SAMMSON knockdown with mTOR inhibition resulted in enhanced impairment of mitochondrial function and protein synthesis. Interestingly, we observed a more pronounced knockdown of SAMMSON when combining SAMMSON targeting ASOs with GDC-0349, suggesting mTOR inhibition facilitates ASO uptake in uveal melanoma cells. Further experiments are ongoing to confirm this mechanism. Taken together, these results demonstrate that SAMMSON inhibition in combination with mTOR inhibition could be a novel treatment option for uveal melanoma patients

    Combination Therapies Targeting ALK-aberrant Neuroblastoma in Preclinical Models

    Full text link
    PURPOSE ALK-activating mutations are identified in approximately 10% of newly diagnosed neuroblastomas and ALK amplifications in a further 1%-2% of cases. Lorlatinib, a third-generation anaplastic lymphoma kinase (ALK) inhibitor, will soon be given alongside induction chemotherapy for children with ALK-aberrant neuroblastoma. However, resistance to single-agent treatment has been reported and therapies that improve the response duration are urgently required. We studied the preclinical combination of lorlatinib with chemotherapy, or with the MDM2 inhibitor, idasanutlin, as recent data have suggested that ALK inhibitor resistance can be overcome through activation of the p53-MDM2 pathway. EXPERIMENTAL DESIGN We compared different ALK inhibitors in preclinical models prior to evaluating lorlatinib in combination with chemotherapy or idasanutlin. We developed a triple chemotherapy (CAV: cyclophosphamide, doxorubicin, and vincristine) in vivo dosing schedule and applied this to both neuroblastoma genetically engineered mouse models (GEMM) and patient-derived xenografts (PDX). RESULTS Lorlatinib in combination with chemotherapy was synergistic in immunocompetent neuroblastoma GEMM. Significant growth inhibition in response to lorlatinib was only observed in the ALK-amplified PDX model with high ALK expression. In this PDX, lorlatinib combined with idasanutlin resulted in complete tumor regression and significantly delayed tumor regrowth. CONCLUSIONS In our preclinical neuroblastoma models, high ALK expression was associated with lorlatinib response alone or in combination with either chemotherapy or idasanutlin. The synergy between MDM2 and ALK inhibition warrants further evaluation of this combination as a potential clinical approach for children with neuroblastoma

    Benchmarked performance charts using principal components analysis to improve the effectiveness of feedback for audit data in HIV care

    Get PDF
    Abstract Background Feedback tools for clinical audit data that compare site-specific results to average performance over all sites can be useful for quality improvement. Proposed tools should be simple and clearly benchmark the site’s performance, so that a relevant action plan can be directly implemented to improve patient care services. We aimed to develop such a tool in order to feedback data to UK HIV clinics participating in the 2015 British HIV Association (BHIVA) audit assessing compliance with the 2011 guidelines for routine investigation and monitoring of adult HIV-1- infected individuals. Methods HIV clinic sites were asked to provide data on a random sample of 50–100 adult patients attending for HIV care during 2014 and/or 2015 by completing a self-audit spreadsheet. Outcomes audited included the proportion of patients with recorded resistance testing, viral load monitoring, adherence assessment, medications, hepatitis testing, vaccination management, risk assessments, and sexual health screening. For each outcome we benchmarked the proportion for a specific site against the average performance. We produced performance charts for each site using boxplots for the outcomes. We also used the mean and differences from the mean performance to produce a dashboard for each site. We used principal components analysis to group correlated outcomes and simplify the dashboard. Results The 106 sites included in the study provided information on a total of 7768 patients. Outcomes capturing monitoring of treatment of HIV-infection showed high performance across the sites, whereas testing for hepatitis, and risk assessment for cardiovascular disease and smoking, management of flu vaccination, sexual health screening, and cervical cytology for women were very variable across sites. The principal components analysis reduced the original 12 outcomes to four factors that represented HIV care, hepatitis testing, other screening tests, and resistance testing. These provided simplified measures of adherence to guidelines which were presented as a 4 bar dashboard of performance. Conclusion Our dashboard performance charts provide easily digestible visual summaries of locally relevant audit data that are benchmarked against the overall mean and can be used to improve feedback to HIV services. Feedback from clinicians indicated that they found these charts acceptable and useful

    Etude du stroma de tumeurs mammaires humaines xénogreffées et de modèles transgéniques murins

    No full text
    La progression tumorale est un processus multi-étapes dépendant notamment des interactions entre les cellules cancéreuses et le stroma environnant. Le développement du cancer du sein implique une communication étroite entre les cellules épithéliales mammaires, les cellules inflammatoires, les myofibroblastes et les cellules endothéliales. Ainsi, le microenvironnement tumoral apparaît comme une cible de choix dans le traitement anti-tumoral. L utilisation de modèles précliniques est une étape clé dans le développement et la validation de nouvelles thérapies. Néanmoins, peu d études sont disponibles sur le rôle du stroma péri-tumoral dans ces modèles.Dans le but d étudier le stroma péri-tumoral des modèles précliniques de cancers du sein, nous avons combiné une analyse par cytométrie en flux à une analyse par immunohistochimie afin d identifier, puis de quantifier, les différentes populations stromales hématopoïétiques (lymphocytes, monocytes/macrophages, polynucléaires) et non hématopoïétiques (myofibroblastes, cellules endothéliales). Vingt et un modèles de xénogreffe de tumeurs humaines de cancers du sein ainsi que 2 modèles transgéniques (MMTV-PyMT et MMTV-ErbB2), ainsi que leurs allogreffes respectives, furent utilisés lors de ce travail.Les analyses des tumeurs humaines et murines ont montré un infiltrat stromal très hétérogène d une tumeur à l autre, avec pour composante majoritaire les macrophages. Un infiltrat important en polynucléaires a également été détecté dans les modèles de PDX, caractéristique d une inflammation locale importante dans ces modèles. L analyse phénotypique de macrophages a montré une expression variable de marqueurs M1 et M2 dans les modèles de PDX. Les macrophages issus de tumeurs murines transgéniques, spontanées ou allogreffées, présentaient quant à eux un profil majoritairement M1. L étude transcriptomique de macrophages triés, a permis à la fois de valider les résultats obtenus au niveau protéique mais a également mis en évidence des différences majeures dans l expression de nombreux gènes, impliqués dans des voies de signalisation variées telles que la croissance tumorale, l invasion et la métastase.Cette étude nous a permis de mettre en évidence le rôle de la tumeur sur son microenvironnement. En effet, celle-ci est à la fois capable d attirer un panel de cellules stromales qui lui et propre et ensuite de l activer de façon spécifique.Tumor development is a multi-step process influencing by interactions between tumor cells and surrounding stroma. Breast cancer development involves a high level of communication between mammary epithelial cells, inflammatory cells, myofibroblasts and endothelial cells. So, the tumoral microenvironment appears as a prime target for anti-tumoral treatment. The use of preclinical models is a critical step in development and validation processes of new therapies. Nevertheless, the role of stroma in these models is poorly understood.In order to evaluate stromal cell populations in breast cancer preclinical models, we combined flow cytometry analysis and immunohistochemistry to identify, and then quantify, various stromal populations as hematopoietic cells (lymphocytes, monocytes/macrophages, polymorphonuclear leukocytes) and non-hematopoietic cells (myofibroblasts, endothelial cells). Twenty-one breast cancer patient-derived xenografts as well as 2 transgenic mouse models (MMTV-PyMT and MMTV-ErbB2), and their respective allografts, were studied.Analysis of human and murine tumors showed a strong heterogeneity between tumors regarding infiltrating stroma-cells, with a high proportion of macrophages. A significant amount of polymorphonuclear leukocytes was also detected in PDXs, indicating a local inflammation in these models. The phenotypic analysis of macrophages showed a variable expression of M1 and M2 markers in PDXs. Macrophages infiltrating transgenic mouse tumors, spontaneous or allografted, were mainly M1. Transcriptomic analyses of sorted macrophages, allowed us to validate previous results but also highlighted major differences in the expression of numerous genes implicated in various pathways as tumor growth, invasion and metastasis.Finally, this study highlighted the impact of tumor cells on their surrounding stroma. Indeed, we demonstrate that cancer cells are able to attract a specific panel of stromal cells and activate them in a specific way.PARIS11-SCD-Bib. électronique (914719901) / SudocSudocFranceF

    Lymphome non hodgkinien primitif de l'oeil et des annexes oculaires. Etude rétrospective à partir d'une série de 145 cas

    No full text
    REIMS-BU Santé (514542104) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF
    corecore