Accurate and efficient detection of gene fusions from RNA sequencing data von Uhrig, Sebastian, Ellermann, Julia, Walther, Tatjana, Burkhardt, Pauline, Fröhlich, Martina, Hutter, Barbara, Toprak, Umut H, Neumann, Olaf, Stenzinger, Albrecht, Scholl, Claudia, Fröhling, Stefan, Brors, Benedikt

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Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images von Hekler, Achim, Utikal, Jochen S., Enk, Alexander H., Solass, Wiebke, Schmitt, Max, Klode, Joachim, Schadendorf, Dirk, Sondermann, Wiebke, Franklin, Cindy, Bestvater, Felix, Flaig, Michael J., Krahl, Dieter, von Kalle, Christof, Fröhling, Stefan, Brinker, Titus J.

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Mutations and Treatment Outcome in Cytogenetically Normal Acute Myeloid Leukemia von Schlenk, Richard F, Döhner, Konstanze, Döhner, Hartmut, Krauter, Jürgen, Fröhling, Stefan, Corbacioglu, Andrea, Bullinger, Lars, Habdank, Marianne, Späth, Daniela, Morgan, Michael, Benner, Axel, Schlegelberger, Brigitte, Heil, Gerhard, Ganser, Arnold

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Size matters: Dissecting key parameters for panel‐based tumor mutational burden analysis von Buchhalter, Ivo, Rempel, Eugen, Endris, Volker, Allgäuer, Michael, Neumann, Olaf, Volckmar, Anna‐Lena, Kirchner, Martina, Leichsenring, Jonas, Lier, Amelie, Winterfeld, Moritz, Penzel, Roland, Christopoulos, Petros, Thomas, Michael, Fröhling, Stefan, Schirmacher, Peter, Budczies, Jan, Stenzinger, Albrecht

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Comparative analysis of KRAS codon 12, 13, 18, 61 and 117 mutations using human MCF10A isogenic cell lines von Stolze, Britta, Reinhart, Stefanie, Bulllinger, Lars, Fröhling, Stefan, Scholl, Claudia

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Transcriptome profiling for precision cancer medicine using shallow nanopore cDNA sequencing von Mock, Andreas, Braun, Melissa, Scholl, Claudia, Fröhling, Stefan, Erkut, Cihan

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The CDK inhibitor CR8 acts as a molecular glue degrader that depletes cyclin K von Słabicki, Mikołaj, Kozicka, Zuzanna, Petzold, Georg, Li, Yen-Der, Manojkumar, Manisha, Bunker, Richard D., Donovan, Katherine A., Sievers, Quinlan L., Koeppel, Jonas, Suchyta, Dakota, Sperling, Adam S., Fink, Emma C., Gasser, Jessica A., Wang, Li R., Corsello, Steven M., Sellar, Rob S., Jan, Max, Gillingham, Dennis, Scholl, Claudia, Fröhling, Stefan, Golub, Todd R., Fischer, Eric S., Thomä, Nicolas H., Ebert, Benjamin L.

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Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review von Schneider, Lucas, Laiouar-Pedari, Sara, Kuntz, Sara, Krieghoff-Henning, Eva, Hekler, Achim, Kather, Jakob N., Gaiser, Timo, Fröhling, Stefan, Brinker, Titus J.

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Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels von Roider, Tobias, Seufert, Julian, Uvarovskii, Alexey, Frauhammer, Felix, Bordas, Marie, Abedpour, Nima, Stolarczyk, Marta, Mallm, Jan-Philipp, Herbst, Sophie A., Bruch, Peter-Martin, Balke-Want, Hyatt, Hundemer, Michael, Rippe, Karsten, Goeppert, Benjamin, Seiffert, Martina, Brors, Benedikt, Mechtersheimer, Gunhild, Zenz, Thorsten, Peifer, Martin, Chapuy, Björn, Schlesner, Matthias, Müller-Tidow, Carsten, Fröhling, Stefan, Huber, Wolfgang, Anders, Simon, Dietrich, Sascha

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Measurement of tumor mutational burden (TMB) in routine molecular diagnostics: in silico and real‐life analysis of three larger gene panels von Endris, Volker, Buchhalter, Ivo, Allgäuer, Michael, Rempel, Eugen, Lier, Amelie, Volckmar, Anna‐Lena, Kirchner, Martina, Winterfeld, Moritz, Leichsenring, Jonas, Neumann, Olaf, Penzel, Roland, Weichert, Wilko, Glimm, Hanno, Fröhling, Stefan, Winter, Hauke, Herth, Felix, Thomas, Michael, Schirmacher, Peter, Budczies, Jan, Stenzinger, Albrecht

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Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review von Kuntz, Sara, Krieghoff-Henning, Eva, Kather, Jakob N., Jutzi, Tanja, Höhn, Julia, Kiehl, Lennard, Hekler, Achim, Alwers, Elizabeth, von Kalle, Christof, Fröhling, Stefan, Utikal, Jochen S., Brenner, Hermann, Hoffmeister, Michael, Brinker, Titus J.

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Activating mutations in ALK provide a therapeutic target in neuroblastoma von Meyerson, Matthew, Look, A. Thomas, George, Rani E, Sanda, Takaomi, Hanna, Megan, Fröhling, Stefan, II, William Luther, Zhang, Jianming, Ahn, Yebin, Zhou, Wenjun, London, Wendy B, McGrady, Patrick, Xue, Liquan, Zozulya, Sergey, Gregor, Vlad E, Webb, Thomas R, Gray, Nathanael S, Gilliland, D. Gary, Diller, Lisa, Greulich, Heidi, Morris, Stephan W

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Interdisciplinary team science to understand and intercept rare cancers von Fröhling, Stefan

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TelomereHunter - in silico estimation of telomere content and composition from cancer genomes von Feuerbach, Lars, Sieverling, Lina, Deeg, Katharina I, Ginsbach, Philip, Hutter, Barbara, Buchhalter, Ivo, Northcott, Paul A, Mughal, Sadaf S, Chudasama, Priya, Glimm, Hanno, Scholl, Claudia, Lichter, Peter, Fröhling, Stefan, Pfister, Stefan M, Jones, David T W, Rippe, Karsten, Brors, Benedikt

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Exercise Training Improves Exercise Capacity and Diastolic Function in Patients With Heart Failure With Preserved Ejection Fraction: Results of the Ex-DHF (Exercise training in Dia... von EDELMANN, Frank, GELBRICH, Götz, HERRMANN-LINGEN, Christoph, LÖFFLER, Markus, HASENFUSS, Gerd, HALLE, Martin, PIESKE, Burkert, DÜNGEN, Hans-Dirk, FRÖHLING, Stefan, WACHTER, Rolf, STAHRENBERG, Raoul, BINDER, Lutz, TOPPER, Agnieszka, LASHKI, Diana Jahandar, SCHWARZ, Silja

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Many Roads Lead to snoRNAs: The Ever‐Expanding Universe of Non‐Coding RNAs in Acute Myeloid Leukemia von Fröhling, Stefan

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Harmonization and Standardization of Panel-Based Tumor Mutational Burden Measurement: Real-World Results and Recommendations of the Quality in Pathology Study von Stenzinger, Albrecht, Endris, Volker, Budczies, Jan, Merkelbach-Bruse, Sabine, Kazdal, Daniel, Dietmaier, Wolfgang, Pfarr, Nicole, Siebolts, Udo, Hummel, Michael, Herold, Sylvia, Andreas, Johanna, Zoche, Martin, Tögel, Lars, Rempel, Eugen, Maas, Jörg, Merino, Diana, Stewart, Mark, Zaoui, Karim, Schlesner, Matthias, Glimm, Hanno, Fröhling, Stefan, Allen, Jeff, Horst, David, Baretton, Gustavo, Wickenhauser, Claudia, Tiemann, Markus, Evert, Matthias, Moch, Holger, Kirchner, Thomas, Büttner, Reinhard, Schirmacher, Peter, Jung, Andreas, Haller, Florian, Weichert, Wilko, Dietel, Manfred

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Precision oncology based on omics data: The NCT Heidelberg experience von Horak, Peter, Klink, Barbara, Heining, Christoph, Gröschel, Stefan, Hutter, Barbara, Fröhlich, Martina, Uhrig, Sebastian, Hübschmann, Daniel, Schlesner, Matthias, Eils, Roland, Richter, Daniela, Pfütze, Katrin, Geörg, Christina, Meißburger, Bettina, Wolf, Stephan, Schulz, Angela, Penzel, Roland, Herpel, Esther, Kirchner, Martina, Lier, Amelie, Endris, Volker, Singer, Stephan, Schirmacher, Peter, Weichert, Wilko, Stenzinger, Albrecht, Schlenk, Richard F., Schröck, Evelin, Brors, Benedikt, von Kalle, Christof, Glimm, Hanno, Fröhling, Stefan

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Cytogenetics and age are major determinants of outcome in intensively treated acute myeloid leukemia patients older than 60 years: results from AMLSG trial AML HD98-B von Fröhling, Stefan, Schlenk, Richard F., Kayser, Sabine, Morhardt, Martina, Benner, Axel, Döhner, Konstanze, Döhner, Hartmut

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Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma von Brien, Gerard L, Remillard, David, Shi, Junwei, Hemming, Matthew L, Chabon, Jonathon, Wynne, Kieran, Dillon, Eugène T, Cagney, Gerard, Van Mierlo, Guido, Baltissen, Marijke P, Vermeulen, Michiel, Qi, Jun, Fröhling, Stefan, Gray, Nathanael S, Bradner, James E, Vakoc, Christopher R, Armstrong, Scott A

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