@article{ArdeltEbbingAdamsetal.2015,
  author    = {Ardelt, Peter U. and Ebbing, Jan and Adams, Fabian and Reiss, Cora and Arap, Wadih and Pasqualini, Renata and Bachmann, Alexander and Wetterauer, Ulrich and Riedmiller, Hubertus and Kneitz, Burkard},
  title     = {An anti-ubiquitin antibody response in transitional cell carcinoma of the urinary bladder},
  series = {PLoS ONE},
  volume    = {10},
  journal   = {PLoS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0118646},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143711},
  pages     = {e0118646},
  year      = {2015},
  abstract  = {Background To use combinatorial epitope mapping ("fingerprinting") of the antibody response to identify targets of the humoral immune response in patients with transitional cell carcinoma (TCC) of the bladder. Methods A combinatorial random peptide library was screened on the circulating pool of immunoglobulins purified from an index patient with a high risk TCC (pTa high grade plus carcinoma in situ) to identify corresponding target antigens. A patient cohort was investigated for antibody titers against ubiquitin. Results We selected, isolated, and validated an immunogenic peptide motif from ubiquitin as a dominant epitope of the humoral response. Patients with TCC had significantly higher antibody titers against ubiquitin than healthy donors (p<0.007), prostate cancer patients (p<0.0007), and all patients without TCC taken together (p<0.0001). Titers from superficial tumors were not significantly different from muscle invasive tumors (p = 0.0929). For antibody response against ubiquitin, sensitivity for detection of TCC was 0.44, specificity 0.96, positive predictive value 0.96 and negative predictive value 0.41. No significant titer changes were observed during the standard BCG induction immunotherapy. Conclusions This is the first report to demonstrate an anti-ubiquitin antibody response in patients with TCC. Although sensitivity of antibody production was low, a high specificity and positive predictive value make ubiquitin an interesting candidate for further diagnostic and possibly immune modulating studies.},
  language  = {en}
}
@article{MollReboredoSchwarzetal.2013,
  author    = {Moll, Corinna and Reboredo, Jenny and Schwarz, Thomas and Appelt, Antje and Sch{\"u}rlein, Sebastian and Walles, Heike and Nietzer, Sarah},
  title     = {Tissue Engineering of a Human 3D in vitro Tumor Test System},
  series = {Journal of Visualized Experiments},
  volume    = {78},
  journal   = {Journal of Visualized Experiments},
  number    = {e50460},
  doi       = {10.3791/50460},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-132277},
  year      = {2013},
  abstract  = {Cancer is one of the leading causes of death worldwide. Current therapeutic strategies are predominantly developed in 2D culture systems, which inadequately reflect physiological conditions in vivo. Biological 3D matrices provide cells an environment in which cells can self-organize, allowing the study of tissue organization and cell differentiation. Such scaffolds can be seeded with a mixture of different cell types to study direct 3D cell-cell-interactions. To mimic the 3D complexity of cancer tumors, our group has developed a 3D in vitro tumor test system. Our 3D tissue test system models the in vivo situation of malignant peripheral nerve sheath tumors (MPNSTs), which we established with our decellularized porcine jejunal segment derived biological vascularized scaffold (BioVaSc). In our model, we reseeded a modified BioVaSc matrix with primary fibroblasts, microvascular endothelial cells (mvECs) and the S462 tumor cell line For static culture, the vascular structure of the BioVaSc is removed and the remaining scaffold is cut open on one side (Small Intestinal Submucosa SIS-Muc). The resulting matrix is then fixed between two metal rings (cell crowns). Another option is to culture the cell-seeded SIS-Muc in a flow bioreactor system that exposes the cells to shear stress. Here, the bioreactor is connected to a peristaltic pump in a self-constructed incubator. A computer regulates the arterial oxygen and nutrient supply via parameters such as blood pressure, temperature, and flow rate. This setup allows for a dynamic culture with either pressure-regulated pulsatile or constant flow. In this study, we could successfully establish both a static and dynamic 3D culture system for MPNSTs. The ability to model cancer tumors in a more natural 3D environment will enable the discovery, testing, and validation of future pharmaceuticals in a human-like model.},
  language  = {en}
}