Literaturgeschichte denken

Erhart W. Literaturgeschichte denken. In: Graf FW, Hanke E, Picht B, eds. Geschichte intellektuell: theoriegeschichtliche Perspektiven. Tübingen: Mohr Siebeck; 2015: 66-77

Internationalisierung - Pluralisierung - Interpretation. Eine wissenschaftsgeschichtliche Fallstudie am Beispiel des Internationalen Referatenorgans GERMANISTIK

Erhart W. Internationalisierung - Pluralisierung - Interpretation. Eine wissenschaftsgeschichtliche Fallstudie am Beispiel des Internationalen Referatenorgans GERMANISTIK. In: Danneberg L, Vollhardt F, Hartmut Böhne, eds. Wie international ist die Literaturwissenschaft? Methoden- und Theoriediskussion in den Literaturwissenschaften: kulturelle Besonderheiten und interkultureller Austausch am Beispiel des Interpretationsproblems (1950-1990). Stuttgart: Metzler; 1995: 305-328

Die Wissenschaft vom Geschlecht und die Literatur der décadence

Erhart W. Die Wissenschaft vom Geschlecht und die Literatur der décadence. In: Danneberg L, Vollhardt F, Hartmut Böhne, eds. Wissen in Literatur im 19. Jahrhundert. Tübingen: Niemeyer; 2002: 256-284

Precision Medicine for the Management of Therapy Refractory Colorectal Cancer

In this analysis, we examined the efficacy, feasibility, and limitations of molecular-based targeted therapies in heavily pretreated metastatic colorectal cancer (mCRC) patients after failure of all standard treatments. In this single-center, real-world retrospective analysis of our platform for precision medicine, we mapped the molecular profiles of 60 mCRC patients. Tumor samples of the patients were analyzed using next-generation sequencing panels of mutation hotspots, microsatellite instability testing, and immunohistochemistry. All profiles were reviewed by a multidisciplinary team to provide a targeted treatment recommendation after consensus discussion. In total, we detected 166 mutations in 53 patients. The five most frequently found mutations were TP53, KRAS, APC, PIK3CA, and PTEN. In 28 cases (47% of all patients), a molecularly targeted therapy could be recommended. Eventually, 12 patients (20%) received the recommended therapy. Six patients (10%) had a clinical benefit. The median time to treatment failure was 3.1 months. Our study demonstrates the feasibility and applicability of using targeted therapies in daily clinical practice for heavily pretreated mCRC patients. This could be used as a targeted treatment option in half of the patients

Mast Cells Are Abundant in Primary Cutaneous T-Cell Lymphomas: Results from a Computer-Aided Quantitative Immunohistological Study.

Mast cells (MC) are bone marrow derived haematopoetic cells playing a crucial role not only in immune response but also in the tumor microenvironment with protumorigenic and antitumorigenic functions. The role of MC in primary cutaneous T-cell lymphomas (CTCL), a heterogeneous group of non-Hodgkin lymphomas with initial presentation in the skin, is largely unknown.To gain more accurate information about presence, number, distribution and state of activation (degranulated vs. non-degranulated) of MC in CTCL variants and clinical stages.We established a novel computer-aided tissue analysis method on digitized skin sections. Immunohistochemistry with an anti-MC tryptase antibody was performed on 34 biopsies of different CTCL subtypes and on control skin samples. An algorithm for the automatic detection of the epidermis and of cell density based CTCL areas was developed. Cells were stratified as being within the CTCL infiltrate, in P1 (a surrounding area 0-30 μm away from CTCL), or in P2 (30-60 μm away from CTCL) area.We found high MC counts within CTCL infiltrates and P1 and a decreased MC number in the surrounding dermis P2. Higher MC numbers were found in MF compared to all other CTCL subgroups. Regarding different stages of MF, we found significantly higher mast cell counts in stages IA and IB than in stages IIA and IIB. Regarding MC densities, we found a higher density of MC in MF compared to all other CTCL subgroups. More MC were non-degranulated than degranulated.Here for the first time an automated method for MC analysis on tissue sections and its use in CTCL is described. Eliminating error from investigator bias, the method allows for precise cell identification and counting. Our results provide new insights on MC distribution in CTCL reappraising their role in the pathophysiology of CTCL