Beißbarth, Tim

[["dc.bibliographiccitation.firstpage","549"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Cancer Cell"],["dc.bibliographiccitation.lastpage","+"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Mohr, Sebastian"],["dc.contributor.author","Döbele, Carmen"],["dc.contributor.author","Comoglio, Federico"],["dc.contributor.author","Berg, Tobias"],["dc.contributor.author","Beck, Julia"],["dc.contributor.author","Bohnenberger, Hanibal"],["dc.contributor.author","Alexe, Gabriela"],["dc.contributor.author","Corso, Jasmin"],["dc.contributor.author","Ströbel, Philipp"],["dc.contributor.author","Wachter, Astrid"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Schnuetgen, Frank"],["dc.contributor.author","Cremer, Anjali"],["dc.contributor.author","Haetscher, Nadine"],["dc.contributor.author","Goellner, Stefanie"],["dc.contributor.author","Rouhi, Arefeh"],["dc.contributor.author","Palmqvist, Lars"],["dc.contributor.author","Rieger, Michael A."],["dc.contributor.author","Schroeder, Timm"],["dc.contributor.author","Boenig, Halvard"],["dc.contributor.author","Meuller-Tidow, Carsten"],["dc.contributor.author","Kuchenbauer, Florian"],["dc.contributor.author","Schuetz, Ekkehard"],["dc.contributor.author","Green, Anthony R."],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Stegmaier, Kimberly"],["dc.contributor.author","Humphries, R. Keith"],["dc.contributor.author","Serve, Hubert"],["dc.contributor.author","Oellerich, Thomas"],["dc.date.accessioned","2018-11-07T10:25:02Z"],["dc.date.available","2018-11-07T10:25:02Z"],["dc.date.issued","2017"],["dc.description.abstract","The transcription factor Meis1 drives myeloid leukemogenesis in the context of Hox gene overexpression but is currently considered undruggable. We therefore investigated whether myeloid progenitor cells transformed by Hoxa9 and Meis1 become addicted to targetable signaling pathways. A comprehensive (phospho) proteomic analysis revealed that Meis1 increased Syk protein expression and activity. Syk upregulation occurs through a Meis1-dependent feedback loop. By dissecting this loop, we show that Syk is a direct target of miR-146a, whose expression is indirectly regulated by Meis1 through the transcription factor PU. 1. In the context of Hoxa9 overexpression, Syk signaling induces Meis1, recapitulating several leukemogenic features of Hoxa9/Meis1-driven leukemia. Finally, Syk inhibition disrupts the identified regulatory loop, prolonging survival of mice with Hoxa9/Meis1-driven leukemia."],["dc.identifier.doi","10.1016/j.ccell.2017.03.001"],["dc.identifier.isi","000398670600010"],["dc.identifier.pmid","28399410"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14438"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42772"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Cell Press"],["dc.relation.issn","1878-3686"],["dc.relation.issn","1535-6108"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Hoxa9 and Meis1 Cooperatively Induce Addiction to Syk Signaling by Suppressing miR-146a in Acute Myeloid Leukemia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","1140"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","International Journal of Molecular Sciences"],["dc.bibliographiccitation.volume","18"],["dc.contributor.affiliation","Jo, Peter; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, jo.peter@chirurgie-goettingen.de"],["dc.contributor.affiliation","Azizian, Azadeh; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, azadeh.azizian@med.uni-goettingen.de"],["dc.contributor.affiliation","Salendo, Junius; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, juniussalendo@gmail.com"],["dc.contributor.affiliation","Kramer, Frank; \t\t \r\n\t\t Department of Medical Statistics, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, frank.kramer@med.uni-goettingen.de"],["dc.contributor.affiliation","Bernhardt, Markus; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, markus.bernhardt@med.uni-goettingen.de"],["dc.contributor.affiliation","Wolff, Hendrik; \t\t \r\n\t\t Department of Radiology, Nuclear Medicine and Radiotherapy, Radiology Munich, Burgstr. 7, 80333 Munich, Germany, drhawolff@googlemail.com"],["dc.contributor.affiliation","Gruber, Jens; \t\t \r\n\t\t German Primate Center, Medical RNA Biology, Kellnerweg 4, 37075 Goettingen, Germany, jgruber@dpz.eu"],["dc.contributor.affiliation","Grade, Marian; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, marian.grade@med.uni-goettingen.de"],["dc.contributor.affiliation","Beißbarth, Tim; \t\t \r\n\t\t Department of Medical Statistics, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, tim.beissbarth@med.uni-goettingen.de"],["dc.contributor.affiliation","Ghadimi, B.; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, mghadim@uni-goettingen.de"],["dc.contributor.affiliation","Gaedcke, Jochen; \t\t \r\n\t\t Department of General-, Visceral-, and Pediatric Surgery, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075 Goettingen, Germany, jochen.gaedcke@med.uni-goettingen.de"],["dc.contributor.author","Jo, Peter"],["dc.contributor.author","Azizian, Azadeh"],["dc.contributor.author","Salendo, Junius"],["dc.contributor.author","Kramer, Frank"],["dc.contributor.author","Bernhardt, Markus"],["dc.contributor.author","Wolff, Hendrik Andreas"],["dc.contributor.author","Gruber, Jens"],["dc.contributor.author","Grade, Marian"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Ghadimi, Michael B."],["dc.contributor.author","Gaedcke, Jochen"],["dc.date.accessioned","2018-11-07T10:22:50Z"],["dc.date.available","2018-11-07T10:22:50Z"],["dc.date.issued","2017"],["dc.date.updated","2022-09-06T05:14:56Z"],["dc.description.abstract","Since the response to chemoradiotherapy in patients with locally advanced rectal cancer is heterogeneous, valid biomarkers are needed to monitor tumor response. Circulating microRNAs are promising candidates, however analyses of circulating microRNAs in rectal cancer are still rare. 111 patients with rectal cancer and 46 age-matched normal controls were enrolled. The expression levels of 30 microRNAs were analyzed in 17 pre-treatment patients' plasma samples. Differentially regulated microRNAs were validated in 94 independent patients. For 52 of the 94 patients a paired comparison between pre-treatment and post-treatment samples was performed. miR-17, miR-18b, miR-20a, miR-31, and miR-193a_3p, were significantly downregulated in pre-treatment plasma samples of patients with rectal cancer (p < 0.05). miR-29c, miR-30c, and miR-195 showed a trend of differential regulation. After validation, miR-31 and miR-30c were significantly deregulated by a decrease of expression. In 52 patients expression analyses of the 8 microRNAs in matched pre-treatment and post-treatment samples showed a significant decrease for all microRNAs (p < 0.05) after treatment. Expression levels of miR-31 and miR-30c could serve as valid biomarkers if validated in a prospective study. Plasma microRNA expression levels do not necessarily represent miRNA expression levels in tumor tissue. Also, expression levels of microRNAs change during multimodal therapy."],["dc.description.sponsorship","DFG (German Research Foundation)"],["dc.identifier.doi","10.3390/ijms18061140"],["dc.identifier.isi","000404581500040"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14793"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42349"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Mdpi Ag"],["dc.relation.eissn","1422-0067"],["dc.relation.issn","1422-0067"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Changes of Microrna Levels in Plasma of Patients with Rectal Cancer during Chemoradiotherapy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","135"],["dc.bibliographiccitation.journal","Frontiers in Oncology"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Bayerlová, Michaela"],["dc.contributor.author","Menck, Kerstin"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Wolff, Alexander"],["dc.contributor.author","Pukrop, Tobias"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Bleckmann, Annalen"],["dc.date.accessioned","2019-07-09T11:43:27Z"],["dc.date.available","2019-07-09T11:43:27Z"],["dc.date.issued","2017"],["dc.description.abstract","Breast cancer is a heterogeneous disease and has been classified into five molecular subtypes based on gene expression profiles. Signaling processes linked to different breast cancer molecular subtypes and different clinical outcomes are still poorly understood. Aberrant regulation of Wnt signaling has been implicated in breast cancer progression. In particular Ror1/2 receptors and several other members of the non-canonical Wnt signaling pathway were associated with aggressive breast cancer behavior. However, Wnt signals are mediated via multiple complex pathways, and it is clinically important to determine which particular Wnt cascades, including their domains and targets, are deregulated in poor prognosis breast cancer. To investigate activation and outcome of the Ror2-dependent non-canonical Wnt signaling pathway, we overexpressed the Ror2 receptor in MCF-7 and MDA-MB231 breast cancer cells, stimulated the cells with its ligand Wnt5a, and we knocked-down Ror1 in MDA-MB231 cells. We measured the invasive capacity of perturbed cells to assess phenotypic changes, and mRNA was profiled to quantify gene expression changes. Differentially expressed genes were integrated into a literature-based non-canonical Wnt signaling network. The results were further used in the analysis of an independent dataset of breast cancer patients with metastasis-free survival annotation. Overexpression of the Ror2 receptor, stimulation with Wnt5a, as well as the combination of both perturbations enhanced invasiveness of MCF-7 cells. The expression-responsive targets of Ror2 overexpression in MCF-7 induced a Ror2/Wnt module of the non-canonical Wnt signaling pathway. These targets alter regulation of other pathways involved in cell remodeling processing and cell metabolism. Furthermore, the genes of the Ror2/Wnt module were assessed as a gene signature in patient gene expression data and showed an association with clinical outcome. In summary, results of this study indicate a role of a newly defined Ror2/Wnt module in breast cancer progression and present a link between Ror2 expression and increased cell invasiveness."],["dc.identifier.doi","10.3389/fonc.2017.00135"],["dc.identifier.pmid","28695110"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14538"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58892"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","2234-943X"],["dc.relation.issn","2234-943X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Ror2 Signaling and Its Relevance in Breast Cancer Progression."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","471"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Clinical & Experimental Metastasis"],["dc.bibliographiccitation.lastpage","482"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Bleckmann, Annalen"],["dc.contributor.author","Siam, Laila"],["dc.contributor.author","Klemm, Florian"],["dc.contributor.author","Rietkoetter, Eva"],["dc.contributor.author","Wegner, Christiane"],["dc.contributor.author","Kramer, Franz-Josef"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Binder, Claudia"],["dc.contributor.author","Stadelmann, Chr."],["dc.contributor.author","Pukrop, Tobias"],["dc.date.accessioned","2018-11-07T09:26:31Z"],["dc.date.available","2018-11-07T09:26:31Z"],["dc.date.issued","2013"],["dc.description.abstract","An essential function of the transcription factors LEF1/TCF4 in cerebral metastases of lung adenocarcinomas has been described in mouse models, suggesting a WNT/beta-catenin effect as potential mechanism. Their role in humans is still unclear, thus we analyzed LEF1, TCF4, beta-catenin, and early stage prognostic markers in 25 adenocarcinoma brain metastases using immunohistochemistry (IHC). IHC revealed nuclear TCF4 in all adenocarcinoma samples, whereas only 36 % depicted nuclear LEF1 and nuclear beta-catenin signals. Samples with nuclear LEF1 as well as high TCF4 (++++) expression were associated with a shorter survival (p = 0.01, HR = 6.68), while nuclear beta-catenin had no significant impact on prognosis and did not significantly correlate with nuclear LEF1. High proliferation index Ki67 was associated with shorter survival in late-stage disease (p = 0.03, HR 3.27). Additionally, we generated a LEF1/TCF4 as well as an AXIN2 signature, the latter as representative of WNT/beta-catenin activity, following a bioinformatics approach with a gene expression dataset of cerebral metastases in lung adenocarcinoma. To analyze the prognostic relevance in primary lung adenocarcinomas, we applied both signatures to a microarray dataset of 58 primary lung adenocarcinomas. Only the LEF1/TCF4 signature was able to separate clusters with impact on survival (p = 0.01, HR = 0.32). These clusters displayed diverging enrichment patterns of the cell cycle pathway. In conclusion, our data show that LEF1/TCF4, but not beta-catenin, have prognostic relevance in primary and cerebrally metastasized human lung adenocarcinomas. In contrast to the previous in vivo findings, these results indicate that LEF1/TCF4 act independently of beta-catenin in this setting."],["dc.identifier.doi","10.1007/s10585-012-9552-7"],["dc.identifier.isi","000317297400011"],["dc.identifier.pmid","23224985"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10341"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30319"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1573-7276"],["dc.relation.issn","0262-0898"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Nuclear LEF1/TCF4 correlate with poor prognosis but not with nuclear beta-catenin in cerebral metastasis of lung adenocarcinomas"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","507"],["dc.bibliographiccitation.journal","BMC Cancer"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Brase, Jan C."],["dc.contributor.author","Johannes, Marc"],["dc.contributor.author","Mannsperger, Heiko A."],["dc.contributor.author","Faelth, Maria"],["dc.contributor.author","Metzger, Jennifer"],["dc.contributor.author","Kacprzyk, Lukasz A."],["dc.contributor.author","Andrasiuk, Tatjana"],["dc.contributor.author","Gade, Stephan"],["dc.contributor.author","Meister, Michael"],["dc.contributor.author","Sirma, Hueseyin"],["dc.contributor.author","Sauter, Guido"],["dc.contributor.author","Simon, Ronald"],["dc.contributor.author","Schlomm, Thorsten"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Korf, Ulrike"],["dc.contributor.author","Kuner, Ruprecht"],["dc.contributor.author","Sueltmann, Holger"],["dc.date.accessioned","2018-11-07T08:49:00Z"],["dc.date.available","2018-11-07T08:49:00Z"],["dc.date.issued","2011"],["dc.description.abstract","Background: TMPRSS2-ERG gene fusions occur in about 50% of all prostate cancer cases and represent promising markers for molecular subtyping. Although TMPRSS2-ERG fusion seems to be a critical event in prostate cancer, the precise functional role in cancer development and progression is still unclear. Methods: We studied large-scale gene expression profiles in 47 prostate tumor tissue samples and in 48 normal prostate tissue samples taken from the non-suspect area of clinical low-risk tumors using Affymetrix GeneChip Exon 1.0 ST microarrays. Results: Comparison of gene expression levels among TMPRSS2-ERG fusion-positive and negative tumors as well as benign samples demonstrated a distinct transcriptional program induced by the gene fusion event. Well-known biomarkers for prostate cancer detection like CRISP3 were found to be associated with the gene fusion status. WNT and TGF-beta/BMP signaling pathways were significantly associated with genes upregulated in TMPRSS2-ERG fusion-positive tumors. Conclusions: The TMPRSS2-ERG gene fusion results in the modulation of transcriptional patterns and cellular pathways with potential consequences for prostate cancer progression. Well-known biomarkers for prostate cancer detection were found to be associated with the gene fusion. Our results suggest that the fusion status should be considered in retrospective and future studies to assess biomarkers for prostate cancer detection, progression and targeted therapy."],["dc.description.sponsorship","German Federal Ministry of Education and Research [01GS0890]"],["dc.identifier.doi","10.1186/1471-2407-11-507"],["dc.identifier.isi","000299111400001"],["dc.identifier.pmid","22142399"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7059"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21347"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1471-2407"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","TMPRSS2-ERG- specific transcriptional modulation is associated with prostate cancer biomarkers and TGF-beta signaling"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","70"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","8"],["dc.contributor.affiliation","Mewes, Caspar; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Büttner, Benedikt; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Hinz, José; \t\t \r\n\t\t Department of Anesthesiology and Intensive Care Medicine, Klinikum Region Hannover, D-30459 Hannover, Germany,"],["dc.contributor.affiliation","Alpert, Ayelet; \t\t \r\n\t\t Faculty of Medicine, Technion−Israeli Institute of Technology, 31096 Haifa, Israel,"],["dc.contributor.affiliation","Popov, Aron-Frederik; \t\t \r\n\t\t Department of Thoracic and Cardiovascular Surgery, University Medical Center, Eberhard Karls University, D-72076 Tuebingen, Germany,"],["dc.contributor.affiliation","Ghadimi, Michael; \t\t \r\n\t\t Department of General and Visceral Surgery, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Beissbarth, Tim; \t\t \r\n\t\t Department of Medical Bioinformatics, University Medical Center, Georg August University, D-37077 Goettingen, Germany,"],["dc.contributor.affiliation","Tzvetkov, Mladen; \t\t \r\n\t\t Department of Pharmacology, University Medical Center, Ernst-Moritz-Arndt-University, D-17487 Greifswald, Germany,"],["dc.contributor.affiliation","Jensen, Ole; \t\t \r\n\t\t Department of Clinical Pharmacology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Runzheimer, Julius; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Quintel, Michael; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Shen-Orr, Shai; \t\t \r\n\t\t Faculty of Medicine, Technion−Israeli Institute of Technology, 31096 Haifa, Israel,"],["dc.contributor.affiliation","Bergmann, Ingo; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.affiliation","Mansur, Ashham; \t\t \r\n\t\t Department of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany,"],["dc.contributor.author","Mewes, Caspar"],["dc.contributor.author","Büttner, Benedikt"],["dc.contributor.author","Hinz, José Maria"],["dc.contributor.author","Alpert, Ayelet"],["dc.contributor.author","Popov, Aron-Frederik"],["dc.contributor.author","Ghadimi, Michael B."],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Tzvetkov, Mladen Vassilev"],["dc.contributor.author","Jensen, Ole"],["dc.contributor.author","Runzheimer, Julius"],["dc.contributor.author","Quintel, Michael I."],["dc.contributor.author","Shen-Orr, Shai"],["dc.contributor.author","Bergmann, Ingo"],["dc.contributor.author","Mansur, Ashham"],["dc.date.accessioned","2019-07-09T11:49:58Z"],["dc.date.available","2019-07-09T11:49:58Z"],["dc.date.issued","2019"],["dc.date.updated","2022-02-09T13:23:19Z"],["dc.description.abstract","Cytotoxic T lymphocyte-associated protein 4 (CTLA-4) is a coinhibitory checkpoint protein expressed on the surface of T cells. A recent study by our working group revealed that the rs231775 single nucleotide polymorphism (SNP) in the CTLA-4 gene was associated with the survival of patients with sepsis and served as an independent prognostic variable. To further investigate the impact of CTLA-4 genetic variants on sepsis survival, we examined the effect of two functional SNPs, CTLA-4 rs733618 and CTLA-4 rs3087243, and inferred haplotypes, on the survival of 644 prospectively enrolled septic patients. Kaplan⁻Meier survival analysis revealed significantly lower 90-day mortality for rs3087243 G allele carriers (n = 502) than for AA-homozygous (n = 142) patients (27.3% vs. 40.8%, p = 0.0024). Likewise, lower 90-day mortality was observed for TAA haplotype-negative patients (n = 197; compound rs733618 T/rs231775 A/rs3087243 A) than for patients carrying the TAA haplotype (n = 447; 24.4% vs. 32.9%, p = 0.0265). Carrying the rs3087243 G allele hazard ratio (HR): 0.667; 95% confidence interval (CI): 0.489⁻0.909; p = 0.0103) or not carrying the TAA haplotype (HR: 0.685; 95% CI: 0.491⁻0.956; p = 0.0262) remained significant covariates for 90-day survival in the multivariate Cox regression analysis and thus served as independent prognostic variables. In conclusion, our findings underscore the significance of CTLA-4 genetic variants as predictors of survival of patients with sepsis."],["dc.description.sponsorship","Volkswagen Foundation"],["dc.identifier.doi","10.3390/jcm8010070"],["dc.identifier.eissn","2077-0383"],["dc.identifier.pmid","30634576"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15817"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59664"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.relation.issn","2077-0383"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","CTLA-4 Genetic Variants Predict Survival in Patients with Sepsis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","52"],["dc.bibliographiccitation.journal","Translational Proteomics"],["dc.bibliographiccitation.lastpage","59"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Sonntag, Johanna"],["dc.contributor.author","Bender, Christian"],["dc.contributor.author","Soons, Zita"],["dc.contributor.author","Heyde, Silvia von der"],["dc.contributor.author","König, Rainer"],["dc.contributor.author","Wiemann, Stefan"],["dc.contributor.author","Sinn, Hans-Peter"],["dc.contributor.author","Schneeweiss, Andreas"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Korf, Ulrike"],["dc.date.accessioned","2019-07-09T11:40:49Z"],["dc.date.available","2019-07-09T11:40:49Z"],["dc.date.issued","2014"],["dc.description.abstract","A robust subclassification of luminal breast cancer, the most common molecular subtype of human breast cancer, is crucial for therapy decisions. While a part of patients is at higher risk of recurrence and requires chemo-endocrine treatment, the other part is at lower risk and also poorly responds to chemotherapeutic regimens. To approximate the risk of cancer recurrence, clinical guidelines recommend determining histologic grading and abundance of a cell proliferation marker in tumor specimens. However, this approach assigns an intermediate risk to a substantial number of patients and in addition suffers from a high interobserver variability. Therefore, the aim of our study was to identify a quantitative protein biomarker signature to facilitate risk classification. Reverse phase protein arrays (RPPA) were used to obtain quantitative expression data for 128 breast cancer relevant proteins in a set of hormone receptor-positive tumors (n = 109). Proteomic data for the subset of histologic G1 (n = 14) and G3 (n = 22) samples were used for biomarker discovery serving as surrogates of low and high recurrence risk, respectively. A novel biomarker selection workflow based on combining three different classification methods identified caveolin-1, NDKA, RPS6, and Ki-67 as top candidates. NDKA, RPS6, and Ki-67 were expressed at elevated levels in high risk tumors whereas caveolin-1 was observed as downregulated. The identified biomarker signature was subsequently analyzed using an independent test set (AUC = 0.78). Further evaluation of the identified biomarker panel by Western blot and mRNA profiling confirmed the proteomic signature obtained by RPPA. In conclusion, the biomarker signature introduced supports RPPA as a tool for cancer biomarker discovery."],["dc.identifier.doi","10.1016/j.trprot.2014.02.001"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11379"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58260"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY-NC-ND 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/3.0"],["dc.title","Reverse phase protein array based tumor profiling identifies a biomarker signature for risk classification of hormone receptor-positive breast cancer"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","127"],["dc.bibliographiccitation.journal","BMC Bioinformatics"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Leha, Andreas"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Jung, Klaus"],["dc.date.accessioned","2018-11-07T08:56:54Z"],["dc.date.available","2018-11-07T08:56:54Z"],["dc.date.issued","2011"],["dc.description.abstract","Background: Discovery of biomarkers that are correlated with therapy response and thus with survival is an important goal of medical research on severe diseases, e. g. cancer. Frequently, microarray studies are performed to identify genes of which the expression levels in pretherapeutic tissue samples are correlated to survival times of patients. Typically, such a study can take several years until the full planned sample size is available. Therefore, interim analyses are desirable, offering the possibility of stopping the study earlier, or of performing additional laboratory experiments to validate the role of the detected genes. While many methods correcting the multiple testing bias introduced by interim analyses have been proposed for studies of one single feature, there are still open questions about interim analyses of multiple features, particularly of high-dimensional microarray data, where the number of features clearly exceeds the number of samples. Therefore, we examine false discovery rates and power rates in microarray experiments performed during interim analyses of survival studies. In addition, the early stopping based on interim results of such studies is evaluated. As stop criterion we employ the achieved average power rate, i.e. the proportion of detected true positives, for which a new estimator is derived and compared to existing estimators. Results: In a simulation study, pre-specified levels of the false discovery rate are maintained in each interim analysis, where reduced levels as used in classical group sequential designs of one single feature are not necessary. Average power rates increase with each interim analysis, and many studies can be stopped prior to their planned end when a certain pre-specified power rate is achieved. The new estimator for the power rate slightly deviates from the true power rate but is comparable to other estimators. Conclusions: Interim analyses of microarray experiments can provide evidence for early stopping of long-term survival studies. The developed simulation framework, which we also offer as a new R package 'SurvGenesInterim' available at http://survgenesinter.R-Forge.R-Project.org, can be used for sample size planning of the evaluated study design."],["dc.identifier.doi","10.1186/1471-2105-12-127"],["dc.identifier.isi","000290784600001"],["dc.identifier.pmid","21527044"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6343"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23260"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1471-2105"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","Sequential interim analyses of survival data in DNA microarray experiments"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1005675"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","PLoS Genetics"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Wu, Y."],["dc.contributor.author","Lee, Suk-Hee"],["dc.contributor.author","Williamson, Elizabeth A."],["dc.contributor.author","Reinert, Brian L."],["dc.contributor.author","Cho, Ju Hwan"],["dc.contributor.author","Xia, Fen"],["dc.contributor.author","Jaiswal, Aruna Shanker"],["dc.contributor.author","Srinivasan, Gayathri"],["dc.contributor.author","Patel, Bhavita"],["dc.contributor.author","Brantley, Alexis"],["dc.contributor.author","Zhou, D."],["dc.contributor.author","Shao, Lijian"],["dc.contributor.author","Pathak, Rupak"],["dc.contributor.author","Hauer-Jensen, Martin"],["dc.contributor.author","Singh, Sudha"],["dc.contributor.author","Kong, Kimi"],["dc.contributor.author","Wu, X."],["dc.contributor.author","Kim, Hyun-Suk"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Gaedcke, Jochen"],["dc.contributor.author","Burma, Sandeep"],["dc.contributor.author","Nickoloff, Jac A."],["dc.contributor.author","Hromas, Robert A."],["dc.date.accessioned","2018-11-07T09:47:57Z"],["dc.date.available","2018-11-07T09:47:57Z"],["dc.date.issued","2015"],["dc.description.abstract","Replication fork stalling and collapse is a major source of genome instability leading to neoplastic transformation or cell death. Such stressed replication forks can be conservatively repaired and restarted using homologous recombination (HR) or non-conservatively repaired using micro-homology mediated end joining (MMEJ). HR repair of stressed forks is initiated by 5' end resection near the fork junction, which permits 3' single strand invasion of a homologous template for fork restart. This 5' end resection also prevents classical non-homologous end-joining (cNHEJ), a competing pathway for DNA double-strand break (DSB) repair. Unopposed NHEJ can cause genome instability during replication stress by abnormally fusing free double strand ends that occur as unstable replication fork repair intermediates. We show here that the previously uncharacterized Exonuclease/Endonuclease/Phosphatase Domain-1 (EEPD1) protein is required for initiating repair and restart of stalled forks. EEPD1 is recruited to stalled forks, enhances 5' DNA end resection, and promotes restart of stalled forks. Interestingly, EEPD1 directs DSB repair away from cNHEJ, and also away from MMEJ, which requires limited end resection for initiation. EEPD1 is also required for proper ATR and CHK1 phosphorylation, and formation of gamma-H2AX, RAD51 and phospho-RPA32 foci. Consistent with a direct role in stalled replication fork cleavage, EEPD1 is a 5' overhang nuclease in an obligate complex with the end resection nuclease Exo1 and BLM. EEPD1 depletion causes nuclear and cytogenetic defects, which are made worse by replication stress. Depleting 53BP1, which slows cNHEJ, fully rescues the nuclear and cytogenetic abnormalities seen with EEPD1 depletion. These data demonstrate that genome stability during replication stress is maintained by EEPD1, which initiates HR and inhibits cNHEJ and MMEJ."],["dc.identifier.doi","10.1371/journal.pgen.1005675"],["dc.identifier.isi","000368518400016"],["dc.identifier.pmid","26684013"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12699"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35210"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Public Library Science"],["dc.relation.issn","1553-7404"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","EEPD1 Rescues Stressed Replication Forks and Maintains Genome Stability by Promoting End Resection and Homologous Recombination Repair"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1411"],["dc.bibliographiccitation.journal","Cell Death and Disease"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Landmann, H."],["dc.contributor.author","Proia, D. A."],["dc.contributor.author","He, S."],["dc.contributor.author","Ogden, F. L."],["dc.contributor.author","Kramer, Franz-Josef"],["dc.contributor.author","Beißbarth, Tim"],["dc.contributor.author","Grade, Marian"],["dc.contributor.author","Gaedcke, Jochen"],["dc.contributor.author","Ghadimi, Michael B."],["dc.contributor.author","Moll, U."],["dc.contributor.author","Dobbelstein, Matthias"],["dc.date.accessioned","2018-11-07T09:35:41Z"],["dc.date.available","2018-11-07T09:35:41Z"],["dc.date.issued","2014"],["dc.description.abstract","HSP90 inhibition represents a promising route to cancer therapy, taking advantage of cancer cell-inherent proteotoxic stress. The HSP90-inhibitor ganetespib showed benefit in advanced clinical trials. This raises the need to identify the molecular determinants of treatment response. We tested the efficacy of ganetespib on a series of colorectal cancer (CRC)-derived cell lines and correlated their sensitivities with comprehensive gene expression analysis. Notably, the drug concentration required for 50% growth inhibition (IC50) varied up to 70-fold (from 36 to 2500 nM) between different cell lines. Correlating cell line-specific IC(50)s with the corresponding gene expression patterns revealed a strong association between ganetespib resistance (IC50 > 500 nM) and high expression of the UDP glucuronosyltransferase 1A (UGT1A) gene cluster. Moreover, CRC tumor samples showed a comparable distribution of UGT1A expression levels. The members of the UGT1A gene family are known as drug-conjugating liver enzymes involved in drug excretion, but their function in tumor cells is hardly understood. Chemically unrelated HSP90 inhibitors, for example, 17-N-allylamino-17-demethoxygeldanamycin (17-AAG), did not show correlation of drug sensitivities with UGT1A levels, whereas the ganetespib-related compound NVP-AUY922 did. When the most ganetespib-resistant cell line, HT29, was treated with ganetespib, the levels of HSP90 clients were unaffected. However, HT29 cells became sensitized to the drug, and HSP90 client proteins were destabilized by ganetespib upon siRNA-mediated UGT1A knockdown. Conversely, the most ganetespib-sensitive cell lines HCT116 and SW480 became more tolerant toward ganetespib upon UGT1A overexpression. Mechanistically, ganetespib was rapidly glucuronidated and excreted in resistant but not in sensitive CRC lines. We conclude that CRC cell-expressed UGT1A inactivates ganetespib and other resorcinolic Hsp90 inhibitors by glucuronidation, which renders the drugs unable to inhibit Hsp90 and thereby abrogates their biological activity. UGT1A levels in tumor tissues may be a suitable predictive biomarker to stratify CRC patients for ganetespib treatment."],["dc.description.sponsorship","Open-Access Publikationsfonds 2014"],["dc.identifier.doi","10.1038/cddis.2014.378"],["dc.identifier.isi","000343162000012"],["dc.identifier.pmid","25210794"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10891"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32445"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","Najko"],["dc.relation.issn","2041-4889"],["dc.rights","CC BY-NC-ND 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/3.0"],["dc.title","UDP glucuronosyltransferase 1A expression levels determine the response of colorectal cancer cells to the heat shock protein 90 inhibitor ganetespib"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]