@article{DammertBraegelmannOlsenetal.2019,
  author    = {Dammert, Marcel A. and Br{\"a}gelmann, Johannes and Olsen, Rachelle R. and B{\"o}hm, Stefanie and Monhasery, Niloufar and Whitney, Christopher P. and Chalishazar, Milind D. and Tumbrink, Hannah L. and Guthrie, Matthew R. and Klein, Sebastian and Ireland, Abbie S. and Ryan, Jeremy and Schmitt, Anna and Marx, Annika and Ozretić, Luka and Castiglione, Roberta and Lorenz, Carina and Jachimowicz, Ron D. and Wolf, Elmar and Thomas, Roman K. and Poirier, John T. and B{\"u}ttner, Reinhard and Sen, Triparna and Byers, Lauren A. and Reinhardt, H. Christian and Letai, Anthony and Oliver, Trudy G. and Sos, Martin L.},
  title     = {MYC paralog-dependent apoptotic priming orchestrates a spectrum of vulnerabilities in small cell lung cancer},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-019-11371-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223569},
  year      = {2019},
  abstract  = {MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.},
  language  = {en}
}
@article{DixCzakaiSpringeretal.2016,
  author    = {Dix, Andreas and Czakai, Kristin and Springer, Jan and Fliesser, Mirjam and Bonin, Michael and Guthke, Reinhard and Schmitt, Anna L. and Einsele, Hermann and Linde, J{\"o}rg and L{\"o}ffler, J{\"u}rgen},
  title     = {Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis},
  series = {Frontiers in Microbiology},
  journal   = {Frontiers in Microbiology},
  number    = {7},
  doi       = {10.3389/fmicb.2016.00320},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165386},
  pages     = {320},
  year      = {2016},
  abstract  = {Invasive aspergillosis (IA) is a devastating opportunistic infection and its treatment constitutes a considerable burden for the health care system. Immunocompromised patients are at an increased risk for IA, which is mainly caused by the species Aspergillus fumigatus. An early and reliable diagnosis is required to initiate the appropriate antifungal therapy. However, diagnostic sensitivity and accuracy still needs to be improved, which can be achieved at least partly by the definition of new biomarkers. Besides the direct detection of the pathogen by the current diagnostic methods, the analysis of the host response is a promising strategy toward this aim. Following this approach, we sought to identify new biomarkers for IA. For this purpose, we analyzed gene expression profiles of hematological patients and compared profiles of patients suffering from IA with non-IA patients. Based on microarray data, we applied a comprehensive feature selection using a random forest classifier. We identified the transcript coding for the S100 calcium-binding protein B (S100B) as a potential new biomarker for the diagnosis of IA. Considering the expression of this gene, we were able to classify samples from patients with IA with 82.3\% sensitivity and 74.6\% specificity. Moreover, we validated the expression of S100B in a real-time reverse transcription polymerase chain reaction (RT-PCR) assay and we also found a down-regulation of S100B in A. fumigatus stimulated DCs. An influence on the IL1B and CXCL1 downstream levels was demonstrated by this S100B knockdown. In conclusion, this study covers an effective feature selection revealing a key regulator of the human immune response during IA. S100B may represent an additional diagnostic marker that in combination with the established techniques may improve the accuracy of IA diagnosis.},
  language  = {en}
}