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  • 1
    In: Remote Sensing, MDPI AG, Vol. 12, No. 8 ( 2020-04-18), p. 1289-
    Abstract: We studied the applicability of point clouds derived from tri-stereo satellite imagery for semantic segmentation for generalized sparse convolutional neural networks by the example of an Austrian study area. We examined, in particular, if the distorted geometric information, in addition to color, influences the performance of segmenting clutter, roads, buildings, trees, and vehicles. In this regard, we trained a fully convolutional neural network that uses generalized sparse convolution one time solely on 3D geometric information (i.e., 3D point cloud derived by dense image matching), and twice on 3D geometric as well as color information. In the first experiment, we did not use class weights, whereas in the second we did. We compared the results with a fully convolutional neural network that was trained on a 2D orthophoto, and a decision tree that was once trained on hand-crafted 3D geometric features, and once trained on hand-crafted 3D geometric as well as color features. The decision tree using hand-crafted features has been successfully applied to aerial laser scanning data in the literature. Hence, we compared our main interest of study, a representation learning technique, with another representation learning technique, and a non-representation learning technique. Our study area is located in Waldviertel, a region in Lower Austria. The territory is a hilly region covered mainly by forests, agriculture, and grasslands. Our classes of interest are heavily unbalanced. However, we did not use any data augmentation techniques to counter overfitting. For our study area, we reported that geometric and color information only improves the performance of the Generalized Sparse Convolutional Neural Network (GSCNN) on the dominant class, which leads to a higher overall performance in our case. We also found that training the network with median class weighting partially reverts the effects of adding color. The network also started to learn the classes with lower occurrences. The fully convolutional neural network that was trained on the 2D orthophoto generally outperforms the other two with a kappa score of over 90% and an average per class accuracy of 61%. However, the decision tree trained on colors and hand-crafted geometric features has a 2% higher accuracy for roads.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
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  • 2
    In: EPJ Web of Conferences, EDP Sciences, Vol. 271 ( 2022), p. 08004-
    Abstract: In March 2019 the HADES experiment recorded 14 billion Ag+Ag collisions at √ s NN = 2.55 GeV as a part of the FAIR phase-0 physics program. In this contribution, we present and investigate our capabilities to reconstruct and analyze weakly decaying strange hadrons and hypernuclei emerging from these collisions. The focus is put on measuring the mean lifetimes of these particles.
    Type of Medium: Online Resource
    ISSN: 2100-014X
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2022
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  • 3
    In: Cell Death & Disease, Springer Science and Business Media LLC, Vol. 12, No. 8 ( 2021-07-21)
    Abstract: Glioblastoma (GBM), the most malignant tumor of the central nervous system, is marked by its dynamic response to microenvironmental niches. In particular, this cellular plasticity contributes to the development of an immediate resistance during tumor treatment. Novel insights into the developmental trajectory exhibited by GBM show a strong capability to respond to its microenvironment by clonal selection of specific phenotypes. Using the same mechanisms, malignant GBM do develop intrinsic mechanisms to resist chemotherapeutic treatments. This resistance was reported to be sustained by the paracrine and autocrine glutamate signaling via ionotropic and metabotropic receptors. However, the extent to which glutamatergic signaling modulates the chemoresistance and transcriptional profile of the GBM remains unexplored. In this study we aimed to map the manifold effects of glutamate signaling in GBM as the basis to further discover the regulatory role and interactions of specific receptors, within the GBM microenvironment. Our work provides insights into glutamate release dynamics, representing its importance for GBM growth, viability, and migration. Based on newly published multi-omic datasets, we explored the and characterized the functions of different ionotropic and metabotropic glutamate receptors, of which the metabotropic receptor 3 (GRM3) is highlighted through its modulatory role in maintaining the ability of GBM cells to evade standard alkylating chemotherapeutics. We addressed the clinical relevance of GRM3 receptor expression in GBM and provide a proof of concept where we manipulate intrinsic mechanisms of chemoresistance, driving GBM towards chemo-sensitization through GRM3 receptor inhibition. Finally, we validated our findings in our novel human organotypic section-based tumor model, where GBM growth and proliferation was significantly reduced when GRM3 inhibition was combined with temozolomide application. Our findings present a new picture of how glutamate signaling via mGluR3 interacts with the phenotypical GBM transcriptional programs in light of recently published GBM cell-state discoveries.
    Type of Medium: Online Resource
    ISSN: 2041-4889
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 4
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 2879-2879
    Abstract: Abstract 2879 Background: Immunomodulatory drugs (IMiDs) are highly active in the treatment of multiple myeloma (MM), but the mechanisms of action are still not completely understood. Recently, cereblon (CRBN) has been identified as the primary target of thalidomide teratogenicity (Ito K et al, 2010) and, moreover as an essential requirement for IMiD therapy (Zhu YX et al, 2011). We wanted to investigate, if expression levels of CRBN could serve as a predictor of response. Patients and Methods: We measured CRBN mRNA expression in bone marrow samples of 44 well characterized MM patients treated with lenalidomide containing regimens, myeloma cell lines, and normal bone marrow (BM), using real time PCR. The median age of patients was 65 years (range: 37–85 years). Nine patients had ISS-stage I, 9 stage II, and 26 had stage III. All patients, except 12, were newly diagnosed. None of the patients had been exposed to lenalidomide before study entry. Full data documentation for response evaluation ( 〉 2 cycles) was available in 37 patients (84%). Of these, lenalidomide was given in combination with dexamethasone in 27 patients with a starting dose of 25 mg per day on days 1–21 in a 28 days cycle, in combination with melphalan and prednisone (MPR, starting dose of lenalidomide 10 mg per day on days 1–21) in 9 patients, and in combination with bendamustine in 1 patient. Results: Normal BM was used as a reference with an expression level of one. All multiple myeloma cell lines tested (U266, KMS-12-BM, OPM-2, NCL-H929, MM.1S, SK-MM-1, and RPMI8226), had a higher CRBN expression than normal BM. CRBN was detected in all 44 MM samples distributed over a range covering 3 orders of magnitude (0.31 to 462.08-fold relative to normal BM; median: 3.61). Lenalidomide-based therapy resulted in CR in 3 (8%), nCR in 2 (5%), VGPR in 4 (11%), PR in 17 (46%), and in MR in 4 patients (11%), respectively. Three patients (8%) had SD, and 4 (11%) had PD. Median CRBN expression was three times higher in responding (≥MR) patients compared to non-responders (3.65 vs. 0.99, p 〈 0.01). In addition, a significant correlation between quality of response and CRBN expression (r=0.34) was observed. This correlation remained statistically significant after exclusion of previously treated patients (r=0.37, p=0.02). Interestingly, among 9 available patients who had been pretreated, the lowest level of CRBN expression (0.90) was noted in the patient who progressed during lenalidomide treatment, indicating a predictive potential of CRBN expression also in pre-treated patients. When the analysis was restricted to the 27 patients who had uniformly been treated with lenalidomide and dexamethasone, an even more pronounced association between myeloma response and CRBN expression was noted (r=0.45; p=0.008). In patients with SD or PD, median CRBN expression was lower than in normal BM, while a higher CRBN expression was found in all patients with CR, nCR, VGPR, PR or MR (Table 1), suggesting that CRBN was required for anti-myeloma activity in these patients. This applied also to patients with marked myeloma response (CR, nCR, VGPR) and patients with PD (r=0.82; p= 0.003) (Figure 1). Univariate analysis between established prognostic factors such as beta-2-microglobulin, albumin, ISS stage, Hb, FISH defined cytogenetic aberrations, and response revealed no significant correlation in this patient cohort. A highly significant correlation between expression of CRBN and IRF4, an important transcription factor required for myeloma survival (p=0.00007), and XBP1 (p=0.00004) was observed. For PAX5 and BLIMP no such association were noted. When primary myeloma cells of 5 patients and cell lines (U 266, KMS-12-M) were exposed to lenalidomide, a significant down regulation of IRF4, but not of CRBN was found. Conclusion: Our studies show a significant association between CRBN expression and myeloma response in patients treated with lenalidomide containing regimens, especially in those receiving lenalidomide and dexamethasone therapy. These findings should be confirmed in larger, prospective clinical trials. Disclosures: Jäger: Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mundipharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; AMGEN: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Biogen: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 5
    Online Resource
    Online Resource
    Optica Publishing Group ; 2016
    In:  Applied Optics Vol. 55, No. 36 ( 2016-12-20), p. 10318-
    In: Applied Optics, Optica Publishing Group, Vol. 55, No. 36 ( 2016-12-20), p. 10318-
    Type of Medium: Online Resource
    ISSN: 0003-6935 , 1539-4522
    Language: English
    Publisher: Optica Publishing Group
    Publication Date: 2016
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  • 6
    In: British Journal of Haematology, Wiley, Vol. 161, No. 5 ( 2013-06), p. 695-700
    Abstract: Cereblon ( CRBN ) has recently been identified as a target for immunomodulatory drugs ( IM i D s) and its downregulation has been linked to resistance to lenalidomide. Here, we studied CRBN expression by real time polymerase chain reaction in 49 bone marrow samples of newly diagnosed patients with multiple myeloma treated with lenalidomide and dexamethasone. Median CRBN expression was 3·45 in patients who achieved complete response, and 3·75, 2·01, 0·78, and 0·70 in those with very good partial response, partial response, stable disease and progressive disease respectively. CRBN expression levels correlated significantly with response to lenalidomide treatment ( r  = 0·48; P   〈  0·001). Among established prognostic parameters, only beta‐2‐microglobulin correlated with cereblon ( r  = 0·66; P   〈  0·001). A close association of CRBN with interferon regulatory factor 4 ( IRF 4 ) ( P   〈  0·001) and with CTNNB 1 ( P   〈  0·001) was found. Overall, a statistically significant association between baseline CRBN expression and response in MM patients treated with lenalidomide is shown. CRBN expression is closely associated with IRF 4 , which is an important target of IM i D therapy.
    Type of Medium: Online Resource
    ISSN: 0007-1048 , 1365-2141
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2013
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  • 7
    In: Experimental Hematology, Elsevier BV, Vol. 42, No. 7 ( 2014-07), p. 516-525
    Type of Medium: Online Resource
    ISSN: 0301-472X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 2005403-8
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  • 8
    In: Clinical Lymphoma and Myeloma, Elsevier BV, Vol. 9 ( 2009-2), p. S147-S148
    Type of Medium: Online Resource
    ISSN: 1557-9190
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2009
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  • 9
    Online Resource
    Online Resource
    Elsevier BV ; 2024
    In:  Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment Vol. 1060 ( 2024-03), p. 168995-
    In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier BV, Vol. 1060 ( 2024-03), p. 168995-
    Type of Medium: Online Resource
    ISSN: 0168-9002
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
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  • 10
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 3947-3947
    Abstract: Abstract 3947 Introduction: Insulin like growth factor binding protein 7 (IGFBP7) has been described as a secreted tumor suppressor and inducer of apoptotic and senescence pathways, with downregulation in lung cancer, hepatocellular carcinoma, pancreatic carcinoma and other solid tumors, linked to poor prognosis. Recently, a more complex picture has emerged, with IGFBP7 shown to regulate leukemia-stromal cell interactions and to contribute to chemotherapy resistance and leukemia cell survival. IGFBP7 possesses high affinity binding sites for activin A, VEGF-A and insulin and – with lower affinity – to insulin-like growth factor 1 (IGF-1). IGFBP7 has so far not been investigated in multiple myeloma (MM). Our initial gene-expression studies focussing on microenvironmental factors revealed a significant downregulation of IGFBP7 in the MM microenvironment. We therefore aimed to further characterize the role of IGFBP7 in the pathophysiology of MM. Methods: IGFBP7 expression was analyzed by gene expression profiling and quantitative PCR. MMCLs were treated with 5-aza-2x-deoxycytidine, Trichostatin A and recombinant human IGFBP7 for 96 hours. Viability was assessed by the proliferation kit 8. The percentage of apoptotic cells was analyzed by Annexin V/7-AAD staining. Pyrosequencing was performed by Varionostic® GmbH. Immortalized human bone-marrow stromal cells were co-cultured with MMCLs for 72 h. Primary human BMSCs were kept in osteogenic differentiation medium for 7–14 days. Alkaline Phosphatase activity was determined using the AttoPhos® AP Fluorescent Substrate System. Results: Microarray analysis in a large set of MGUS (n = 22) and MM patient samples (n = 329) as well as MM cell lines (MMCLs) (n = 17) demonstrated a significant downregulation of IGFBP7 in each entity compared to normal plasma cells (n = 10). Analyzing the mechanism of IGFBP7 silencing in MM revealed a median upregulation of 2.8 fold after treatment with 5-aza-2x-deoxycytidine and Trichostatin A in 5 of 7 MMCLs (range: 1.8 – 30.2, P 〈 0.05), suggesting that IGFBP7 is controlled via methylation. This was confirmed by pyrosequencing of the IGFBP7 promoter region in 3 primary MM cell samples and 2 MMCLs. We subsequently studied possible functional consequences of IGFBP7 alterations and found that treatment with recIGFBP7 for 96 hours significantly decreased viable cell numbers in 7 of 7 MMCLs tested (relative viability compared to control: 0.68 – 0.92; P 〈 0.05). This effect was due to an impairment of proliferation, as no increase in apoptosis could be detected. Initial data suggest upregulation of cell cycle regulator p21 by IGFBP7 as possibly underlying this effect. Studying the role of IGFBP7 in the MM microenvironment we observed a significant downregulation of IGFBP7 in BMSCs after co-culture with 4 of 5 MMCLs (relative expression compared to control: 0.06 – 0.50; P 〈 0.05). We also studied osteoblast development in vitro and found that IGFBP7 expression is significantly increased during osteogenesis. Treatment with recIGFBP7 further stimulated osteoblast (OB) activity up to 1.8 fold at day 14 (P 〈 0.05). Complementary to these in vitro data, IGFBP7 expression level was associated with the presence of myeloma bone disease in an independent set of bone-marrow CD138+ sorted cells from myeloma patients (n = 62) (P 〈 0.05; see Fig.). Conclusion: Taken together, these results demonstrate that IGFBP7 is downregulated in MM cells by methylation, which likely contributes to loss of cell cycle control and proliferation of malignant plasma cells. IGFBP7 expression seems also to be suppressed in stromal cells in the vicinity of MM cells, which might be involved in the impairment of osteoblast development and contribute to myeloma bone disease. Upregulation of IGFBP7 might be a useful therapeutic intervention in the treatment of MM. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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