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  • PATHWAY  (7)
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  • 1
    Keywords: ENVIRONMENT ; SPECTRA ; CELLS ; EXPRESSION ; GROWTH ; CELL ; Germany ; PATHWAY ; PATHWAYS ; INFORMATION ; SYSTEM ; SYSTEMS ; GENE ; GENE-EXPRESSION ; GENOME ; microarray ; SACCHAROMYCES-CEREVISIAE ; METABOLISM ; DOWN-REGULATION ; treatment ; culture ; PATTERNS ; gene expression ; MICROARRAY DATA ; ESCHERICHIA-COLI ; UP-REGULATION ; OXYGEN ; CLUSTERS ; TRANSCRIPTIONAL REGULATION ; CLUSTER ; RE ; PRODUCTS ; HYDROGEN-PEROXIDE ; EXCRETION ; LEVEL ; methods ; PROFILES ; EXPRESSION PROFILES ; technique ; uptake ; E ; SPECTRUM ; microbiology ; image processing ; TOPOLOGY ; METABOLIC PATHWAYS ; SALMONELLA-TYPHIMURIUM ; ADAPTIVE RESPONSE ; ANAEROBIC RESPIRATION ; DEOXYRIBONUCLEOTIDE SYNTHESIS ; FUMARATE REDUCTASE ; MULTIORGANISM DATABASE
    Abstract: Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation of the metabolism when cells adapt to environmental changes, whole genome gene expression profiles can be analysed. Moreover, utilising a network topology based on gene relationships may facilitate interpreting this vast amount of information, and extracting significant patterns within the networks. Results: Interpreting expression levels as pixels with grey value intensities and network topology as relationships between pixels, allows for an image-like representation of cellular metabolism. While the topology of a regular image is a lattice grid, biological networks demonstrate scale-free architecture and thus advanced image processing methods such as wavelet transforms cannot directly be applied. In the study reported here, one-dimensional enzyme-enzyme pairs were tracked to reveal sub-graphs of a biological interaction network which showed significant adaptations to a changing environment. As a case study, the response of the hetero-fermentative bacterium E. coli to oxygen deprivation was investigated. With our novel method, we detected, as expected, an up-regulation in the pathways of hexose nutrients up-take and metabolism and formate fermentation. Furthermore, our approach revealed a down-regulation in iron processing as well as the up-regulation of the histidine biosynthesis pathway. The latter may reflect an adaptive response of E. coli against an increasingly acidic environment due to the excretion of acidic products during anaerobic growth in a batch culture. Conclusion: Based on microarray expression profiling data of prokaryotic cells exposed to fundamental treatment changes, our novel technique proved to extract system changes for a rather broad spectrum of the biochemical network
    Type of Publication: Journal article published
    PubMed ID: 17488495
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  • 2
    Keywords: CANCER ; PATHWAY ; GENES ; ACTIVATION ; MUTATIONS ; SUBGROUPS ; LANDSCAPE ; TETRAPLOID TUMOR-CELLS ; TBR1
    Abstract: Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.
    Type of Publication: Journal article published
    PubMed ID: 22832583
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  • 3
    Keywords: CELLS ; EXPRESSION ; GROWTH ; PATHWAY ; BIOMARKERS ; IDENTIFICATION ; LIGAND-BINDING DOMAIN ; ESTROGEN-RELATED-RECEPTOR ; TRANSCRIPTIONAL ACTIVITIES ; ENDOCRINE RESISTANCE
    Abstract: Endocrine treatment regimens for breast cancer that target the estrogen receptor-alpha (ER alpha) are effective, but acquired resistance remains a limiting drawback. One mechanism of acquired resistance that has been hypothesized is functional substitution of the orphan receptor estrogen-related receptor-alpha (ERR alpha) for ER alpha. To examine this hypothesis, we analyzed ERR alpha and ER alpha in recurrent tamoxifen-resistant breast tumors and conducted a genome-wide target gene profiling analysis of MCF-7 breast cancer cell populations that were sensitive or resistant to tamoxifen treatment. This analysis uncovered a global redirection in the target genes controlled by ER alpha, ERR alpha, and their coactivator AIB1, defining a novel set of target genes in tamoxifen-resistant cells. Beyond differences in the ER alpha and ERR alpha target gene repertoires, both factors were engaged in similar pathobiologic processes relevant to acquired resistance. Functional analyses confirmed a requirement for ERR alpha in tamoxifen-and fulvestrant-resistant MCF-7 cells, with pharmacologic inhibition of ERR alpha sufficient to partly restore sensitivity to antiestrogens. In clinical specimens (n - 1041), increased expression of ERR alpha was associated with enhanced proliferation and aggressive disease parameters, including increased levels of p53 in ER alpha-positive cases. In addition, increased ERR alpha expression was linked to reduced overall survival in independent tamoxifen-treated patient cohorts. Taken together, our results suggest that ER alpha and ERR alpha cooperate to promote endocrine resistance, and they provide a rationale for the exploration of ERR alpha as a candidate drug target to treat endocrine-resistant breast cancer.
    Type of Publication: Journal article published
    PubMed ID: 25643697
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  • 4
    Keywords: RECEPTOR ; APOPTOSIS ; CELLS ; EXPRESSION ; SURVIVAL ; tumor ; TUMOR-CELLS ; CELL ; human ; KINASE ; PATHWAY ; PATHWAYS ; TYROSINE KINASE ; COHORT ; DEATH ; LONG-TERM ; GENE ; DIFFERENTIATION ; TUMORS ; NEUROBLASTOMA-CELLS ; PATIENT ; ACTIVATION ; MECHANISM ; DOMAIN ; BINDING ; CELL-DEATH ; REGION ; LONG-TERM SURVIVAL ; specificity ; DOMAINS ; neuroblastoma ; signaling ; NEURONS ; medulloblastoma ; interaction ; LEVEL ; cell death ; TECHNOLOGY ; USA ; pediatric ; MEDIATOR ; TYROSINE ; 2-HIT MECHANISM ; CEREBRAL CAVERNOUS MALFORMATIONS ; P75 NEUROTROPHIN RECEPTOR
    Abstract: The TrkA receptor tyrosine kinase is crucial for differentiation and survival of nerve-growth-factor-dependent neurons. Paradoxically, TrkA also induces cell death in pediatric tumor cells of neural origin, via an unknown mechanism. Here, we show that CCM2, a gene product associated with cerebral cavernous malformations, interacts with the juxtamembrane region of TrkA via its phosphotyrosine binding (PTB) domain and mediates TrkA-induced death in diverse cell types. Both the PTB and Karet domains of CCM2 are required for TrkA-dependent cell death, such that the PTB domain determines the specificity of the interaction, and the Karet domain links to death pathways. Downregulation of CCM2 in medulloblastoma or neuroblastoma cells attenuates TrkA-dependent death. Combined high expression levels of CCM2 and TrkA are correlated with long-term survival in a large cohort of human neuroblastoma patients. Thus, CCM2 is a key mediator of TrkA-dependent cell death in pediatric neuroblastic tumors
    Type of Publication: Journal article published
    PubMed ID: 19755102
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  • 5
    Keywords: EXPRESSION ; GROWTH ; PATHWAY ; DOWN-REGULATION ; CERVICAL-CANCER ; HYPERMETHYLATION ; MALIGNANT GLIOMA ; Molecular targets ; GLIOBLASTOMA ; ANTAGONIST SFRP1
    Abstract: Background Diffusely infiltrative growth of human astrocytic gliomas is one of the major obstacles to successful tumor therapy. Thorough insights into the molecules and pathways signaling glioma cell invasion thus appear of major relevance for the development of targeted and individualized therapies. By miRNA expression profiling of microdissected human tumor biopsy specimens we identified miR-328 as one of the main miRNAs upregulated in invading glioma cells in vivo and further investigated its role in glioma pathogenesis. Methods We employed miRNA mimics and inhibitors to functionally characterize miR-328, 3' untranslated region luciferase assays, and T-cell factor/lymphoid enhancer factor reporter assays to pinpoint miR-328 targets and signaling pathways, and analyzed miR-328 expression in a large panel of gliomas. Results First, we corroborated the invasion-promoting role of miR-328 in A172 and TP365MG glioma cells. Secreted Frizzled-related protein 1 (SFRP1), an inhibitor of Wnt signaling, was then pinpointed as a direct miR-328 target. SFRP1 expression is of prognostic relevance in gliomas with reduced expression, being associated with significantly lower overall patient survival in both the Repository of Molecular Brain Neoplasia Data (REMBRANDT) and The Cancer Genome Atlas. Of note, miR-328 regulated both SFRP1 protein expression levels and Wnt signaling pathway activity. Finally, in human glioma tissues miR-328 appeared to account for the downregulation of SFRP1 preferentially in lower-grade astrocytic gliomas and was inversely related to SFRP1 promoter hypermethylation. Conclusion Taken together, we report on a novel molecular miR-328-dependent mechanism that via SFRP1 inhibition and Wnt activation contributes to the infiltrative glioma phenotype at already early stages of glioma progression, with unfavorable prognostic implications for the final outcome of the disease.
    Type of Publication: Journal article published
    PubMed ID: 24305703
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  • 6
    Keywords: PATHWAY ; DRUG ; DRUG DISCOVERY ; analysis
    Type of Publication: Journal article published
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  • 7
    Keywords: CANCER ; Germany ; PATHWAY ; PATHWAYS ; NEW-YORK ; RISK ; GENE ; GENES ; PROTEIN ; PROTEINS ; GENETIC POLYMORPHISMS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; SUSCEPTIBILITY ; BREAST ; breast cancer ; BREAST-CANCER ; NO ; mass spectrometry ; PCR ; MASS-SPECTROMETRY ; case-control studies ; ESTROGEN METABOLISM ; BRCA2 MUTATIONS ; CLUSTER ; POSTMENOPAUSAL WOMEN ; ONCOLOGY ; case-control study ; REGRESSION ; RE ; CATECHOL-O-METHYLTRANSFERASE ; HORMONE-REPLACEMENT THERAPY ; ESTROGEN ; analysis ; USA ; HAPLOTYPE RECONSTRUCTION ; CANDIDATE ; CANCER-RISK ; FRAGMENT ; COMT ; association analyses ; MULTIFACTOR-DIMENSIONALITY REDUCTION ; multivariate analyses
    Abstract: Polymorphisms within the estrogen metabolic pathway are prime candidates for a possible association with breast cancer risk. We investigated 11 genes encoding key proteins of this pathway for their potential contribution to breast cancer risk. Of these CYP17A1, CYP19A1, EPHX1, HSD17B1, SRD5A2, and PPARG2 participate in biosynthesis, CYP1A1, CYP1B1, COMT, GSTP1, and SOD2 in catabolism and detoxification. We performed a population-based case-control study with 688 incident breast cancer cases and 724 controls from Germany and genotyped 18 polymorphisms by matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), PCR based RFLP (restriction fragment length polymorphism), and TaqMan (R) allelic discrimination. Genotype frequencies were compared between cases and controls and odds ratios were calculated by conditional logistic regression. Further statistical analyses were based on cluster analysis, multifactor dimensionality reduction, logic regression, and global testing. Single factor analyses pointed to CYP1B1_1294_GG as a possible breast cancer risk modulator (OR = 2.57; 95% CI: 1.34-4.93) and two way stratification suggested associations between BMI 〉= 30 kg/m(2) and COMT_472_GG (P = 0.0076 and P = 0.0026), BMI 〈 20 kg/m(2) and HSD17B1_937_GG (P = 0.0082) as well as CYP17A1_-34_CC and HRT use 〉= 10 years (P = 0.0063). Following correction for multiple testing none of these associations remained significant. No significant association between breast cancer risk and genetic polymorphisms was observed in multifactor analyses. The tested polymorphisms of the estrogen metabolic pathway may not play a direct role in breast cancer risk. Therefore, future association studies should be extended to other polymorphisms and other regulatory pathways
    Type of Publication: Journal article published
    PubMed ID: 17588204
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