News

Genome-wide DNA methylation-analysis of blastic plasmacytoid dendritic cell neoplasm identifies distinct molecular features

Epithelial and Mesenchymal-like Pancreatic Cancer Cells Exhibit Different Stem Cell Phenotypes Associated with Different Metastatic Propensities

Update: The molecular spectrum of virus-associated high-grade B-cell non-Hodgkin lymphomas

Diagnostic management of blastic plasmacytoid dendritic cell neoplasm (BPDCN) in close interaction with therapeutic considerations

The Molecular Tumor Board of the University Cancer Center Schleswig-Holstein has been certified as a center for personalized medicine by the DKG (Deutsche Krebsgesellschaft; German Cancer Society). Our cancer research unit provides bioinformatic services for the molecular tumor board since 2018. Further information: https://www.uksh.de/Das+UKSH/Presse/Presseinformationen/2024/Zentrum+f%C3%BCr+Personalisierte+Medizin+_+Onkologie+am+UKSH+zertifiziert-p-210243.html

We passed this years quality assessment for NGS sequencing. Since 2022 we participate in the external quality assessment programme for Next-Generation Sequencing by the BVDH (Berufsverband Deutscher Humangenetiker; association of german human genetics). Further information: https://bvdh-ringversuche.de/downloads/rvinfo/nextgenseq/2023/RV%20NGS%202023%20zusammenfassender%20Abschlussbericht_EN_65815cc73b6563_94970283.pdf

Extending cBioPortal for Therapy Recommendation Documentation in Molecular Tumor Boards: Development and Usability Study

Our CRC 1665 appplication „Determinants, meanings and implications of sex diversity in sociocultural, medical and biological landscapes“ is funded. We are involved in two work packages using our spatial transcriptomics expertise and in data management.  https://www.uni-luebeck.de/aktuelles/nachricht/artikel/neuer-sonderforschungsbereich-fuer-die-erforschung-der-vielfalt-des-biologischen-geschlechts.html

Receptor repertoires of murine follicular T helper cells reveal a high clonal overlap in separate lymph nodes in autoimmunity

PD-L1 Dependent Immunogenic Landscape in Hot Lung Adenocarcinomas Identified by Transcriptome Analysis