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  • Herold-Mende, Christel  (6)
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  • 1
    In: Neuro-Oncology, 2018, Vol. 20(suppl2), pp.i130-i130
    Description: High-risk medulloblastoma (MB) is a deadly disease with poor overall survival. Survivors suffer from severe treatment-associated morbidity. Patients with Group 3 MB with an amplification of MYC show particularly poor outcome. Therefore novel therapies tailored to this subgroup are urgently needed. We have previously shown that MYC amplified MB cell lines are highly susceptible to inhibition of class I histone deacetylases (HDACs), including HDAC2. We here explore the functional interaction of HDAC2 and MYC.
    Keywords: Medicine;
    ISSN: 1522-8517
    E-ISSN: 1523-5866
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  • 2
    In: Nature, 2018
    Description: Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.
    Keywords: DNA Methylation ; Tumors ; Standardization ; Data Processing ; Classification ; Methylation ; Brain Cancer ; Bioinformatics ; Cancer ; Generalized Linear Models ; DNA Methylation ; Diagnosis ; Tumors ; Genomes ; Classification ; Central Nervous System ; Central Nervous System ; Diagnosis ; Cancer ; Learning Algorithms ; Diagnostic Software ; Data Processing ; Tumors ; Central Nervous System ; Gene Expression ; Standardization ; Classification ; Cancer ; Classifiers ; Classification ; Clinical Trials ; Deoxyribonucleic Acid–DNA ; Probability ; Diagnostic Systems ; Nervous System ; Methylation ; Data Processing ; Tumors ; Data Processing ; Deoxyribonucleic Acid–DNA ; Deoxyribonucleic Acid–DNA ; World Health Organization;
    ISSN: 0028-0836
    E-ISSN: 1476-4687
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  • 3
    In: Neuro-Oncology, 2017, Vol. 19(12), pp.1607-1617
    Description: BackgroundEmbryonal tumor with multilayered rosettes (ETMR) is a rare and aggressive embryonal brain tumor that solely occurs in infants and young children and has only recently been recognized as a separate brain tumor entity in the World Health Organization classification for CNS tumors. Patients have a very dismal prognosis with a median survival of 12 months upon diagnosis despite aggressive treatment. The aim of this study was to develop novel treatment regimens in a preclinical drug screen in order to inform potentially more active clinical trial protocols. MethodsWe have carried out an in vitro and in vivo drug screen using the ETMR cell line BT183 and its xenograft model. Furthermore, we have generated the first patient-derived xenograft (PDX) model for ETMR and evaluated our top drug candidates in an in vitro drug screen using this model. ResultsBT183 cells are very sensitive to the topoisomerase inhibitors topotecan and doxorubicin, to the epigenetic agents decitabine and panobinostat, to actinomycin D, and to targeted drugs such as the polo-like kinase 1 (PLK1) inhibitor volasertib, the aurora kinase A inhibitor alisertib, and the mammalian target of rapamycin (mTOR) inhibitor MLN0128. In xenograft mice, monotherapy with topotecan, volasertib, and actinomycin D led to a temporary response in tumor growth and a significant increase in survival. Finally, using multi-agent treatment regimens of topotecan or doxorubicin combined with methotrexate and vincristine, the response in tumor growth and survival was further increased compared with mice receiving single treatments. ConclusionsWe have identified several promising candidates for combination therapies in future clinical trials for ETMR patients.
    Keywords: Actinomycin D ; Brain Tumor ; Etmr ; Topotecan ; Volasertib
    ISSN: 1522-8517
    E-ISSN: 1523-5866
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  • 4
    In: Klinische Pädiatrie, 2018, Vol.230(06)
    In: Klinische Pädiatrie, 2018, Vol.230(06), pp.305-313
    Description: Central nervous system (CNS) tumors account for the highest mortality among pediatric malignancies. Accurate diagnosis is essential for optimal clinical management. The increasing use of molecular diagnostics has opened up novel possibilities for more precise classification of CNS tumors. We here report a single-institutional collection of pediatric CNS tumor cases that underwent a refinement or a change of diagnosis after completion of molecular analysis that affected clinical decision-making including the application of molecularly informed targeted therapies. 13 pediatric CNS tumors were analyzed by conventional histology, immunohistochemistry, and molecular diagnostics including DNA methylation profiling in 12 cases, DNA sequencing in 8 cases and RNA sequencing in 3 cases. 3 tumors had a refinement of diagnosis upon molecular testing, and 6 tumors underwent a change of diagnosis. Targeted therapy was initiated in 5 cases. An underlying cancer predisposition syndrome was detected in 5 cases. Although this case series, retrospective and not population based, has its limitations, insight can be gained regarding precision of diagnosis and clinical management of the patients in selected cases. Accuracy of diagnosis was improved in the cases presented here by the addition of molecular diagnostics, impacting clinical management of affected patients, both in the first-line as well as in the follow-up setting. This additional information may support the clinical decision making in the treatment of challenging pediatric CNS tumors. Prospective testing of the clinical value of molecular diagnostics is currently underway.
    Keywords: Brain tumor ; Molecular diagnostics ; Targeted therapy ; Cancer predisposition syndromes
    ISSN: 0300-8630
    E-ISSN: 1439-3824
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  • 5
    Language: English
    In: Acta Neuropathologica, 2016, Vol.131(6), pp.903-910
    Description: With the number of prognostic and predictive genetic markers in neuro-oncology steadily growing, the need for comprehensive molecular analysis of neuropathology samples has vastly increased. We therefore developed a customized enrichment/hybrid-capture-based next-generation sequencing (NGS) gene panel comprising the entire coding and selected intronic and promoter regions of 130 genes recurrently altered in brain tumors, allowing for the detection of single nucleotide variations, fusions, and copy number aberrations. Optimization of probe design, library generation and sequencing conditions on 150 samples resulted in a 5-workday routine workflow from the formalin-fixed paraffin-embedded sample to neuropathological report. This protocol was applied to 79 retrospective cases with established molecular aberrations for validation and 71 prospective cases for discovery of potential therapeutic targets. Concordance of NGS compared to established, single biomarker methods was 98.0 %, with discrepancies resulting from one case where a TERT promoter mutation was not called by NGS and three ATRX mutations not being detected by Sanger sequencing. Importantly, in samples with low tumor cell content, NGS was able to identify mutant alleles that were not detectable by traditional methods. Information derived from NGS data identified potential targets for experimental therapy in 37/47 (79 %) glioblastomas, 9/10 (90 %) pilocytic astrocytomas, and 5/14 (36 %) medulloblastomas in the prospective target discovery cohort. In conclusion, we present the settings for high-throughput, adaptive next-generation sequencing in routine neuropathology diagnostics. Such an approach will likely become highly valuable in the near future for treatment decision making, as more therapeutic targets emerge and genetic information enters the classification of brain tumors.
    Keywords: Medicine & Public Health ; Pathology ; Neurosciences ; Medicine;
    ISSN: 0001-6322
    E-ISSN: 1432-0533
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  • 6
    Language: English
    In: Clinical cancer research : an official journal of the American Association for Cancer Research, 15 March 2019, Vol.25(6), pp.1851-1866
    Description: Pilocytic astrocytoma is the most common childhood brain tumor, characterized by constitutive MAPK activation. MAPK signaling induces oncogene-induced senescence (OIS), which may cause unpredictable growth behavior of pilocytic astrocytomas. The senescence-associated secretory phenotype (SASP) has been shown to regulate OIS, but its role in pilocytic astrocytoma remains unknown. The patient-derived pilocytic astrocytoma cell culture model, DKFZ-BT66, was used to demonstrate presence of the SASP and analyze its impact on OIS in pilocytic astrocytoma. The model allows for doxycycline-inducible switching between proliferation and OIS. Both states were studied using gene expression profiling (GEP), Western blot, ELISA, and cell viability testing. Primary pilocytic astrocytoma tumors were analyzed by GEP and multiplex assay. SASP factors were upregulated in primary human and murine pilocytic astrocytoma and during OIS in DKFZ-BT66 cells. Conditioned medium induced growth arrest of proliferating pilocytic astrocytoma cells. The SASP factors IL1B and IL6 were upregulated in primary pilocytic astrocytoma, and both pathways were regulated during OIS in DKFZ-BT66. Stimulation with rIL1B but not rIL6 reduced growth of DKFZ-BT66 cells and induced the SASP. Anti-inflammatory treatment with dexamethasone induced regrowth of senescent cells and inhibited the SASP. Senescent DKFZ-BT66 cells responded to senolytic BCL2 inhibitors. High and SASP expression in pilocytic astrocytoma tumors was associated with favorable progression-free survival. We provide evidence for the SASP regulating OIS in pediatric pilocytic astrocytoma, with IL1B as a relevant mediator. SASP expression could enable prediction of progression in patients with pilocytic astrocytoma. Further investigation of the SASP driving the unpredictable growth of pilocytic astrocytomas, and its possible therapeutic application, is warranted.
    ISSN: 1078-0432
    E-ISSN: 15573265
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