Fiona R. Kolbinger
German Cancer Research Center
35 Papers
Fiona R. Kolbinger is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 5 publications.
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Papers
Targeting histone deacetylase 8 as a therapeutic approach to cancer and neurodegenerative diseases.
Alokta Chakrabarti,Jelena Melesina,Fiona R. Kolbinger,Ina Oehme,Johanna Senger,Olaf Witt,Wolfgang Sippl,Manfred Jung +7 more
TL;DR: This work presents HDAC8 as a druggable target and discusses inhibitors of different chemical scaffolds with cellular effects, and reviewsHDAC8 activators that revert activity of mutant enzymes.
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Structure-Based Design and Biological Characterization of Selective Histone Deacetylase 8 (HDAC8) Inhibitors with Anti-Neuroblastoma Activity.
Tino Heimburg,Fiona R. Kolbinger,Patrik Zeyen,Ehab Ghazy,Daniel Herp,Karin Schmidtkunz,Jelena Melesina,Tajith B. Shaik,Frank Erdmann,Matthias Schmidt,Christophe Romier,Dina Robaa,Olaf Witt,Ina Oehme,Manfred Jung,Wolfgang Sippl +15 more
TL;DR: The combination of structure-based design, synthesis, and in vitro screening to cellular testing resulted in potent and selective HDAC8 inhibitors that showed anti-neuroblastoma activity in cellular testing.
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Dual role of HDAC10 in lysosomal exocytosis and DNA repair promotes neuroblastoma chemoresistance
Johannes Ridinger,E Koeneke,E Koeneke,Fiona R. Kolbinger,Katharina Koerholz,Siavosh Mahboobi,Lars Hellweg,Nikolas Gunkel,Aubry K. Miller,Heike Peterziel,Peter Schmezer,Anne Hamacher-Brady,Olaf Witt,Olaf Witt,Ina Oehme +14 more
TL;DR: It is demonstrated that HDAC10 inhibition in combination with doxorubicin kills neuroblastoma, but not non-malignant cells, both by impeding drug efflux and enhancing DNA damage, providing a novel opportunity to target chemotherapy resistance.
The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science
Matthias Carstens,Franziska M Rinner,Sebastian Bodenstedt,Alexander C Jenke,Jürgen Weitz,Marius Distler,Stefanie Speidel,Fiona R. Kolbinger +7 more
TL;DR: The Dresden Surgical Anatomy Dataset as mentioned in this paper provides semantic segmentations of eight abdominal organs (colon, liver, pancreas, small intestine, spleen, stomach, ureter, vesicular glands), the abdominal wall and two vessel structures (inferior mesenteric artery, intestinal veins).
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
O. L. Saldanha,Hannah Sophie Muti,Heike I. Grabsch,Rupert Langer,Bastian Dislich,Meike Kohlruss,Gisela Keller,M. van Treeck,Katherine J Hewitt,Fiona R. Kolbinger,G. P. Veldhuizen,Peter Boor,Sebastian Foersch,Daniel Truhn,Jakob Nikolas Kather +14 more
TL;DR: In this paper , a multicentric retrospective study of Swarm Learning for prediction of molecular biomarkers in gastric cancer was conducted. And the authors reported that the Swarm Learning-based classifier reached an area under the receiver operating curve (AUROC) of 0.8092 (± 0.0132) for microsatellite instability (MSI) prediction and 0.8372 (±0.0179) for EBV prediction.