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Your search keyword '"Kulbe, Hagen"' showing total 9 results
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9 results on '"Kulbe, Hagen"'

4. Low Expression of RGS2 Promotes Poor Prognosis in High-Grade Serous Ovarian Cancer

Author

Ihlow, Jana, primary, Monjé, Nanna, additional, Hoffmann, Inga, additional, Bischoff, Philip, additional, Sinn, Bruno Valentin, additional, Schmitt, Wolfgang Daniel, additional, Kunze, Catarina Alisa, additional, Darb-Esfahani, Sylvia, additional, Kulbe, Hagen, additional, Braicu, Elena Ioana, additional, Sehouli, Jalid, additional, Denkert, Carsten, additional, Horst, David, additional, and Taube, Eliane Tabea, additional

Published
2022
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5. Cell-Free-DNA-Based Copy Number Index Score in Epithelial Ovarian Cancer—Impact for Diagnosis and Treatment Monitoring

Author

Braicu, Elena Ioana, primary, du Bois, Andreas, additional, Sehouli, Jalid, additional, Beck, Julia, additional, Prader, Sonia, additional, Kulbe, Hagen, additional, Eiben, Bernd, additional, Harter, Philipp, additional, Traut, Alexander, additional, Pietzner, Klaus, additional, Glaubitz, Ralf, additional, Ataseven, Beyhan, additional, Chekerov, Radoslav, additional, Keck, Christoph, additional, Winkler, Thomas, additional, Heikaus, Sebastian, additional, Gellendin, Peggy, additional, Schütz, Ekkehard, additional, and Heitz, Florian, additional

Published
2021
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6. A Novel Two-Lipid Signature Is a Strong and Independent Prognostic Factor in Ovarian Cancer

Author

Salminen, Liina, primary, Braicu, Elena Ioana, additional, Lääperi, Mitja, additional, Jylhä, Antti, additional, Oksa, Sinikka, additional, Hietanen, Sakari, additional, Sehouli, Jalid, additional, Kulbe, Hagen, additional, Bois, Andreas du, additional, Mahner, Sven, additional, Harter, Philipp, additional, Carpén, Olli, additional, Huhtinen, Kaisa, additional, Hynninen, Johanna, additional, and Hilvo, Mika, additional

Published
2021
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7. Classification of Molecular Subtypes of High-Grade Serous Ovarian Cancer by MALDI-Imaging

Author

Kassuhn, Wanja, primary, Klein, Oliver, additional, Darb-Esfahani, Silvia, additional, Lammert, Hedwig, additional, Handzik, Sylwia, additional, Taube, Eliane T., additional, Schmitt, Wolfgang D., additional, Keunecke, Carlotta, additional, Horst, David, additional, Dreher, Felix, additional, George, Joshy, additional, Bowtell, David D., additional, Dorigo, Oliver, additional, Hummel, Michael, additional, Sehouli, Jalid, additional, Blüthgen, Nils, additional, Kulbe, Hagen, additional, and Braicu, Elena I., additional

Published
2021
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8. Discovery of Prognostic Markers for Early-Stage High-Grade Serous Ovarian Cancer by Maldi-Imaging

Author

Kulbe, Hagen, primary, Klein, Oliver, additional, Wu, Zhiyang, additional, Taube, Eliane T., additional, Kassuhn, Wanja, additional, Horst, David, additional, Darb-Esfahani, Silvia, additional, Jank, Paul, additional, Abobaker, Salem, additional, Ringel, Frauke, additional, du Bois, Andreas, additional, Heitz, Florian, additional, Sehouli, Jalid, additional, and Braicu, Elena I., additional

Published
2020
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9. Discovery and Validation of Novel Biomarkers for Detection of Epithelial Ovarian Cancer

Author

Kulbe, Hagen, Otto, Raik, Darb-Esfahani, Silvia, Lammert, Hedwig, Abobaker, Salem, Welsch, Gabriele, Chekerov, Radoslav, Schäfer, Reinhold, Dragun, Duska, Hummel, Michael, Leser, Ulf, Sehouli, Jalid, and Braicu, Ioana

Subjects
Adult, Datasets as Topic, 570 Biologie, Carcinoma, Ovarian Epithelial, Article, differential expression, Young Adult, Versicans, ddc:570, biomarker discovery, Biomarkers, Tumor, Humans, lcsh:QH301-705.5, Aged, Aurora Kinase A, Aged, 80 and over, Ovarian Neoplasms, Myelin and Lymphocyte-Associated Proteolipid Proteins, Middle Aged, ovarian cancer, lcsh:Biology (General), Syndecan-3, Female, Transcriptome, tumour microenvironment, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
Abstract

Detection of epithelial ovarian cancer (EOC) poses a critical medical challenge. However, novel biomarkers for diagnosis remain to be discovered. Therefore, innovative approaches are of the utmost importance for patient outcome. Here, we present a concept for blood-based biomarker discovery, investigating both epithelial and specifically stromal compartments, which have been neglected in search for novel candidates. We queried gene expression profiles of EOC including microdissected epithelium and adjacent stroma from benign and malignant tumours. Genes significantly differentially expressed within either the epithelial or the stromal compartments were retrieved. The expression of genes whose products are secreted yet absent in the blood of healthy donors were validated in tissue and blood from patients with pelvic mass by NanoString analysis. Results were confirmed by the comprehensive gene expression database, CSIOVDB (Ovarian cancer database of Cancer Science Institute Singapore). The top 25% of candidate genes were explored for their biomarker potential, and twelve were able to discriminate between benign and malignant tumours on transcript levels (p < 0.05). Among them T-cell differentiation protein myelin and lymphocyte (MAL), aurora kinase A (AURKA), stroma-derived candidates versican (VCAN), and syndecan-3 (SDC), which performed significantly better than the recently reported biomarker fibroblast growth factor 18 (FGF18) to discern malignant from benign conditions. Furthermore, elevated MAL and AURKA expression levels correlated significantly with a poor prognosis. We identified promising novel candidates and found the stroma of EOC to be a suitable compartment for biomarker discovery.

Published
2019

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