@article{WeberLassalleHaukeRamseretal.2018,
  author    = {Weber-Lassalle, Nana and Hauke, Jan and Ramser, Juliane and Richters, Lisa and Groß, Eva and Bl{\"u}mcke, Britta and Gehrig, Andrea and Kahlert, Anne-Karin and M{\"u}ller, Clemens R. and Hackmann, Karl and Honisch, Ellen and Weber-Lassalle, Konstantin and Niederacher, Dieter and Borde, Julika and Thiele, Holger and Ernst, Corinna and Altm{\"u}ller, Janine and Neidhardt, Guido and N{\"u}rnberg, Peter and Klaschik, Kristina and Schroeder, Christopher and Platzer, Konrad and Volk, Alexander E. and Wang-Gohrke, Shan and Just, Walter and Auber, Bernd and Kubisch, Christian and Schmidt, Gunnar and Horvath, Judit and Wappenschmidt, Barbara and Engel, Christoph and Arnold, Norbert and Dworniczak, Bernd and Rhiem, Kerstin and Meindl, Alfons and Schmutzler, Rita K. and Hahnen, Eric},
  title     = {BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer},
  series = {Breast Cancer Research},
  volume    = {20},
  journal   = {Breast Cancer Research},
  doi       = {10.1186/s13058-018-0935-9},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233433},
  year      = {2018},
  abstract  = {Background Germline mutations in the BRIP1 gene have been described as conferring a moderate risk for ovarian cancer (OC), while the role of BRIP1 in breast cancer (BC) pathogenesis remains controversial. Methods To assess the role of deleterious BRIP1 germline mutations in BC/OC predisposition, 6341 well-characterized index patients with BC, 706 index patients with OC, and 2189 geographically matched female controls were screened for loss-of-function (LoF) mutations and potentially damaging missense variants. All index patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germline testing and tested negative for pathogenic BRCA1/2 variants. Results BRIP1 LoF mutations confer a high OC risk in familial index patients (odds ratio (OR) = 20.97, 95\% confidence interval (CI) = 12.02-36.57, P < 0.0001) and in the subgroup of index patients with late-onset OC (OR = 29.91, 95\% CI = 14.99-59.66, P < 0.0001). No significant association of BRIP1 LoF mutations with familial BC was observed (OR = 1.81 95\% CI = 1.00-3.30, P = 0.0623). In the subgroup of familial BC index patients without a family history of OC there was also no apparent association (OR = 1.42, 95\% CI = 0.70-2.90, P = 0.3030). In 1027 familial BC index patients with a family history of OC, the BRIP1 mutation prevalence was significantly higher than that observed in controls (OR = 3.59, 95\% CI = 1.43-9.01; P = 0.0168). Based on the negative association between BRIP1 LoF mutations and familial BC in the absence of an OC family history, we conclude that the elevated mutation prevalence in the latter cohort was driven by the occurrence of OC in these families. Compared with controls, predicted damaging rare missense variants were significantly more prevalent in OC (P = 0.0014) but not in BC (P = 0.0693) patients. Conclusions To avoid ambiguous results, studies aimed at assessing the impact of candidate predisposition gene mutations on BC risk might differentiate between BC index patients with an OC family history and those without. In familial cases, we suggest that BRIP1 is a high-risk gene for late-onset OC but not a BC predisposition gene, though minor effects cannot be excluded.},
  language  = {en}
}
@article{MuellerGirardHopfneretal.2016,
  author    = {M{\"u}ller, Stefanie H. and Girard, Simon L. and Hopfner, Franziska and Merner, Nancy D. and Bourassa, Cynthia V. and Lorenz, Delia and Clark, Lorraine N. and Tittmann, Lukas and Soto-Ortolaza, Alexandra I. and Klebe, Stephan and Hallett, Mark and Schneider, Susanne A. and Hodgkinson, Colin A. and Lieb, Wolfgang and Wszolek, Zbigniew K. and Pendziwiat, Manuela and Lorenzo-Betancor, Oswaldo and Poewe, Werner and Ortega-Cubero, Sara and Seppi, Klaus and Rajput, Alex and Hussl, Anna and Rajput, Ali H. and Berg, Daniela and Dion, Patrick A. and Wurster, Isabel and Shulman, Joshua M. and Srulijes, Karin and Haubenberger, Dietrich and Pastor, Pau and Vilari{\~n}o-G{\"u}ell, Carles and Postuma, Ronald B. and Bernard, Genevi{\`e}ve and Ladwig, Karl-Heinz and Dupr{\´e}, Nicolas and Jankovic, Joseph and Strauch, Konstantin and Panisset, Michel and Winkelmann, Juliane and Testa, Claudia M. and Reischl, Eva and Zeuner, Kirsten E. and Ross, Owen A. and Arzberger, Thomas and Chouinard, Sylvain and Deuschl, G{\"u}nther and Louis, Elan D. and Kuhlenb{\"a}umer, Gregor and Rouleau, Guy A.},
  title     = {Genome-wide association study in essential tremor identifies three new loci},
  series = {Brain},
  volume    = {139},
  journal   = {Brain},
  doi       = {10.1093/brain/aww242},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-186541},
  pages     = {3163-3169},
  year      = {2016},
  abstract  = {We conducted a genome-wide association study of essential tremor, a common movement disorder characterized mainly by a postural and kinetic tremor of the upper extremities. Twin and family history studies show a high heritability for essential tremor. The molecular genetic determinants of essential tremor are unknown. We included 2807 patients and 6441 controls of European descent in our two-stage genome-wide association study. The 59 most significantly disease-associated markers of the discovery stage were genotyped in the replication stage. After Bonferroni correction two markers, one (rs10937625) located in the serine/threonine kinase STK32B and one (rs17590046) in the transcriptional coactivator PPARGC1A were associated with essential tremor. Three markers (rs12764057, rs10822974, rs7903491) in the cell-adhesion molecule CTNNA3 were significant in the combined analysis of both stages. The expression of STK32B was increased in the cerebellar cortex of patients and expression quantitative trait loci database mining showed association between the protective minor allele of rs10937625 and reduced expression in cerebellar cortex. We found no expression differences related to disease status or marker genotype for the other two genes. Replication of two lead single nucleotide polymorphisms of previous small genome-wide association studies (rs3794087 in SLC1A2, rs9652490 in LINGO1) did not confirm the association with essential tremor.},
  language  = {en}
}
@article{RiedmeierDecarolisHaubitzetal.2021,
  author    = {Riedmeier, Maria and Decarolis, Boris and Haubitz, Imme and M{\"u}ller, Sophie and Uttinger, Konstantin and B{\"o}rner, Kevin and Reibetanz, Joachim and Wiegering, Armin and H{\"a}rtel, Christoph and Schlegel, Paul-Gerhardt and Fassnacht, Martin and Wiegering, Verena},
  title     = {Adrenocortical carcinoma in childhood: a systematic review},
  series = {Cancers},
  volume    = {13},
  journal   = {Cancers},
  number    = {21},
  issn      = {2072-6694},
  doi       = {10.3390/cancers13215266},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-248507},
  year      = {2021},
  abstract  = {Adrenocortical tumors are rare in children. This systematic review summarizes the published evidence on pediatric adrenocortical carcinoma (ACC) to provide a basis for a better understanding of the disease, investigate new molecular biomarkers and therapeutic targets, and define which patients may benefit from a more aggressive therapeutic approach. We included 137 studies with 3680 ACC patients (~65\% female) in our analysis. We found no randomized controlled trials, so this review mainly reflects retrospective data. Due to a specific mutation in the TP53 gene in ~80\% of Brazilian patients, that cohort was analyzed separately from series from other countries. Hormone analysis was described in 2569 of the 2874 patients (89\%). Most patients were diagnosed with localized disease, whereas 23\% had metastasis at primary diagnosis. Only 72\% of the patients achieved complete resection. In 334 children (23\%), recurrent disease was reported: 81\% — local recurrence, 19\% (n = 65) — distant metastases at relapse. Patients < 4 years old had a different distribution of tumor stages and hormone activity and better overall survival (p < 0.001). Although therapeutic approaches are typically multimodal, no consensus is available on effective standard treatments for advanced ACC. Thus, knowledge regarding pediatric ACC is still scarce and international prospective studies are needed to implement standardized clinical stratifications and risk-adapted therapeutic strategies.},
  language  = {en}
}
@article{SchmidFalterWeberetal.2017,
  author    = {Schmid, Tobias and Falter, Lena and Weber, Sabine and M{\"u}ller, Nils and Molitor, Konstantin and Zeller, David and Weber-Steffens, Dorothea and Hehlgans, Thomas and Wajant, Harald and Mostb{\"o}ck, Sven and M{\"a}nnel, Daniela N.},
  title     = {Chronic inflammation increases the sensitivity of mouse Treg for TNFR2 costimulation},
  series = {Frontiers in Immunology},
  volume    = {8},
  journal   = {Frontiers in Immunology},
  doi       = {10.3389/fimmu.2017.01471},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-173259},
  year      = {2017},
  abstract  = {TNF receptor type 2 (TNFR2) has gained attention as a costimulatory receptor for T cells and as critical factor for the development of regulatory T cells (Treg) and myeloid suppressor cells. Using the TNFR2-specific agonist TNCscTNF80, direct effects of TNFR2 activation on myeloid cells and T cells were investigated in mice. \(In\) \(vitro\), TNCscTNF80 induced T cell proliferation in a costimulatory fashion, and also supported \(in\) \(vitro\) expansion of Treg cells. In addition, activation of TNFR2 retarded differentiation of bone marrow-derived immature myeloid cells in culture and reduced their suppressor function. \(In\) \(vivo\) application of TNCscTNF80-induced mild myelopoiesis in na{\"i}ve mice without affecting the immune cell composition. Already a single application expanded Treg cells and improved suppression of CD4 T cells in mice with chronic inflammation. By contrast, multiple applications of the TNFR2 agonist were required to expand Treg cells in na{\"i}ve mice. Improved suppression of T cell proliferation depended on expression of TNFR2 by T cells in mice repeatedly treated with TNCscTNF80, without a major contribution of TNFR2 on myeloid cells. Thus, TNFR2 activation on T cells in na{\"i}ve mice can lead to immune suppression \(in\) \(vivo\). These findings support the important role of TNFR2 for Treg cells in immune regulation.},
  language  = {en}
}
@article{MuellerLeppichGeissetal.2023,
  author    = {M{\"u}ller, Konstantin and Leppich, Robert and Geiß, Christian and Borst, Vanessa and Pelizari, Patrick Aravena and Kounev, Samuel and Taubenb{\"o}ck, Hannes},
  title     = {Deep neural network regression for normalized digital surface model generation with Sentinel-2 imagery},
  series = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume    = {16},
  journal   = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  issn      = {1939-1404},
  doi       = {10.1109/JSTARS.2023.3297710},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-349424},
  pages     = {8508-8519},
  year      = {2023},
  abstract  = {In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are precious, as they can provide detailed information for a specific area. However, measurements with a high resolution are time consuming and costly. Only a few approaches exist to create high-resolution nDSMs for extensive areas. This article explores approaches to extract high-resolution nDSMs from low-resolution Sentinel-2 data, allowing us to derive large-scale models. We thereby utilize the advantages of Sentinel 2 being open access, having global coverage, and providing steady updates through a high repetition rate. Several deep learning models are trained to overcome the gap in producing high-resolution surface maps from low-resolution input data. With U-Net as a base architecture, we extend the capabilities of our model by integrating tailored multiscale encoders with differently sized kernels in the convolution as well as conformed self-attention inside the skip connection gates. Using pixelwise regression, our U-Net base models can achieve a mean height error of approximately 2 m. Moreover, through our enhancements to the model architecture, we reduce the model error by more than 7\%.},
  language  = {en}
}