@article{HerbertFickHeydarianetal.2022,
  author    = {Herbert, Saskia-Laureen and Fick, Andrea and Heydarian, Motaharehsadat and Metzger, Marco and W{\"o}ckel, Achim and Rudel, Thomas and Kozjak-Pavlovic, Vera and Wulff, Christine},
  title     = {Establishment of the SIS scaffold-based 3D model of human peritoneum for studying the dissemination of ovarian cancer},
  series = {Journal of Tissue Engineering},
  volume    = {13},
  journal   = {Journal of Tissue Engineering},
  issn      = {2041-7314},
  doi       = {10.1177/20417314221088514},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-301311},
  pages     = {1},
  year      = {2022},
  abstract  = {Ovarian cancer is the second most common gynecological malignancy in women. More than 70\% of the cases are diagnosed at the advanced stage, presenting as primary peritoneal metastasis, which results in a poor 5-year survival rate of around 40\%. Mechanisms of peritoneal metastasis, including adhesion, migration, and invasion, are still not completely understood and therapeutic options are extremely limited. Therefore, there is a strong requirement for a 3D model mimicking the in vivo situation. In this study, we describe the establishment of a 3D tissue model of the human peritoneum based on decellularized porcine small intestinal submucosa (SIS) scaffold. The SIS scaffold was populated with human dermal fibroblasts, with LP-9 cells on the apical side representing the peritoneal mesothelium, while HUVEC cells on the basal side of the scaffold served to mimic the endothelial cell layer. Functional analyses of the transepithelial electrical resistance (TEER) and the FITC-dextran assay indicated the high barrier integrity of our model. The histological, immunohistochemical, and ultrastructural analyses showed the main characteristics of the site of adhesion. Initial experiments using the SKOV-3 cell line as representative for ovarian carcinoma demonstrated the usefulness of our models for studying tumor cell adhesion, as well as the effect of tumor cells on endothelial cell-to-cell contacts. Taken together, our data show that the novel peritoneal 3D tissue model is a promising tool for studying the peritoneal dissemination of ovarian cancer.},
  language  = {en}
}