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1. Die Pathologie im Rahmen des europäischen und nationalen Medizinprodukterechts: Betrieb, Anwendung und Eigenherstellung von In-vitro-Diagnostika

Author

Kahles, Andy, Goldschmid, Hannah, Volckmar, Anna-Lena, Kazdal, Daniel, Gassner, Ulrich M., Vogeser, Michael, Brüggemann, Monika, Bürrig, Karl-Friedrich, Kääb-Sanyal, Vanessa, Flechtenmacher, Christa, Schirmacher, Peter, and Stenzinger, Albrecht

Subjects
ivdr, quality management, legislation, regulatory requirements, laws and regulations, in vitro diagnostic medical devices (ivd), Medicine
Abstract

Institutes for pathology act as operators, users and in-house manufacturers of in vitro diagnostic medical devices and are subject to national and European regulations depending on their function. The entry into force of the EU regulation on medical devices (Regulation (EU) 2017/745, MDR) and the EU regulation on in vitro diast medical devices (Regulation (EU) 2017/746, IVDR) resulted in a need for regulatory adjustments to German medical device law. This has created a new legal framework in which institutes for pathology operate, depending on their function as users, operators or in-house manufacturers of in vitro diagnostic medical devices. This overview of the current legal situation represents a snapshot and provides an up-to-date overview of the landscape of European and German medical device law.

Published
2024
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2. Die EU-Verordnung für In-vitro-Diagnostika (IVDR) in der Praxis: Umsetzung und Anwendung – Ergebnisse einer öffentlichen Veranstaltung der Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF) im März 2023

Author

Vogeser, Michael, Brüggemann, Monika, Brandt, Kristina, Ceglarek, Uta, Gieskes, Volker, Hitziger, Niclas, Kahles, Andy, Klar, Ernst, Roggenbuck, Dirk, Schliephake, Henning, Schulte, Ortwin, Wettmarshausen, Sascha, Zimmermann, Uwe, Sack, Ulrich, Stenzinger, Albrecht, and Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e.V. (AWMF)

Subjects
ivdr, Medicine
Abstract

In order to discuss first experiences with the implementation of the EU Regulation on In Vitro Diagnostic Medical Devices (IVDR) about one year after its entry into force, the German Association of the Scientific Medical Societies (AWMF e.V.) organized a full-day public webinar. Overall, it became clear that the implementation of the IVDR still poses significant challenges for laboratory medicine and pathology. Corrections at the political level and implementation with a sense of proportion are required. Before the long-term goal of the IVDR, i.e. the increase in patient safety, can be realized, the prevention of disadvantages for patients due to gaps in care must be strived for in the medium term by all parties involved.

Published
2024
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3. Advisory opinion of the AWMF Ad hoc Commission In-vitro Diagnostic Medical Devices regarding in-vitro diagnostic medical devices manufactured and used only within health institutions established in the Union according to Regulation (EU) 2017/746 (IVDR)

Author

Hoffmüller, Petra, Brüggemann, Monika, Eggermann, Thomas, Ghoreschi, Kamran, Haase, Detlef, Hofmann, Jörg, Hunfeld, Klaus-Peter, Koch, Katharina, Meisel, Christian, Michl, Patrick, Müller, Jens, Müller, Carsten, Rabenau, Holger F., Reinhardt, Dirk, Riemenschneider, Markus J., Sachs, Ulrich J., Sack, Ulrich, Stenzinger, Albrecht, Streichert, Thomas, von Neuhoff, Nils, Weichert, Wilko, Weinstock, Christof, Zimmermann, Stefan, Spitzenberger, Folker, and AWMF Ad hoc Commision In-vitro Diagnostic Medical Devices

Subjects
ivdr, laboratory-developed tests, in-house ivd, validation, performance evaluation, quality management, Medicine
Abstract

In view of the approaching application date of Regulation (EU) 2017/746 („IVDR“) and the resulting EU-wide, harmonized requirements for in-vitro diagnostic medical devices (IVD) manufactured and used within European health institutions, the Ad hoc Commission IVD of the German Association of the Scientific Medical Societies (AWMF) takes a national position on the details of the requirements and conditions related to the use of these IVD products.The Ad hoc Commission IVD emphasizes the relevance of examination procedures developed in medical laboratories, especially in the field of orphan diseases and new diagnostic markers. The IVDR sets an adequate regulatory framework for IVD manufactured and used within health institutions as long as these requirements are fulfilled with reliability and in accordance with the current state of the art in medical laboratory sciences. At the same time, the IVDR requirements have to be regarded under a pragmatic view and in accordance with the quality management systems approved within the different EU Member States. On the one hand, the mandatory requirements of the RiLiBÄK play an essential role in Germany. On the other hand, elements of voluntarily applicable international standards may support the fulfilment of product requirements for safety and performance according to Annex I of the IVDR. Both the complexity and possible solutions for the implementation of the IVDR requirements are discussed on the basis of examples such as the required documentation, performance evaluation and software validation.The Ad hoc Commission IVD recommends that, while aiming at a preferably EU-wide harmonized interpretation of the IVDR requirements, the flexibility in medical laboratory diagnostics necessary for patient care, including the use of IVD from in-house production, should be emphasized.

Published
2021
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4. Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

Author

Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, and Brinker, Titus Josef

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundAn increasing number of studies within digital pathology show the potential of artificial intelligence (AI) to diagnose cancer using histological whole slide images, which requires large and diverse data sets. While diversification may result in more generalizable AI-based systems, it can also introduce hidden variables. If neural networks are able to distinguish/learn hidden variables, these variables can introduce batch effects that compromise the accuracy of classification systems. ObjectiveThe objective of the study was to analyze the learnability of an exemplary selection of hidden variables (patient age, slide preparation date, slide origin, and scanner type) that are commonly found in whole slide image data sets in digital pathology and could create batch effects. MethodsWe trained four separate convolutional neural networks (CNNs) to learn four variables using a data set of digitized whole slide melanoma images from five different institutes. For robustness, each CNN training and evaluation run was repeated multiple times, and a variable was only considered learnable if the lower bound of the 95% confidence interval of its mean balanced accuracy was above 50.0%. ResultsA mean balanced accuracy above 50.0% was achieved for all four tasks, even when considering the lower bound of the 95% confidence interval. Performance between tasks showed wide variation, ranging from 56.1% (slide preparation date) to 100% (slide origin). ConclusionsBecause all of the analyzed hidden variables are learnable, they have the potential to create batch effects in dermatopathology data sets, which negatively affect AI-based classification systems. Practitioners should be aware of these and similar pitfalls when developing and evaluating such systems and address these and potentially other batch effect variables in their data sets through sufficient data set stratification.

Published
2021
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10. Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Author

Kovacs, Balint, Netzer, Nils, Baumgartner, Michael, Eith, Carolin, Bounias, Dimitrios, Meinzer, Clara, Jaeger, Paul F., Zhang, Kevin S., Floca, Ralf, Schrader, Adrian, Isensee, Fabian, Gnirs, Regula, Goertz, Magdalena, Schuetz, Viktoria, Stenzinger, Albrecht, Hohenfellner, Markus, Schlemmer, Heinz-Peter, Wolf, Ivo, Bonekamp, David, and Maier-Hein, Klaus H.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simplistic spatial transformations to preserve the pathological label post transformation. However, such augmentations do not substantially increase the organ as well as tumor shape variability in the training set, limiting the model's ability to generalize to unseen cases with more diverse localized soft-tissue deformations. We propose a new anatomy-informed transformation that leverages information from adjacent organs to simulate typical physiological deformations of the prostate and generates unique lesion shapes without altering their label. Due to its lightweight computational requirements, it can be easily integrated into common DA frameworks. We demonstrate the effectiveness of our augmentation on a dataset of 774 biopsy-confirmed examinations, by evaluating a state-of-the-art method for PCa detection with different augmentation settings., Comment: Accepted at MICCAI 2023

Published
2023

12. Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Author

Gustav, Marco, Reitsam, Nic Gabriel, Carrero, Zunamys I., Loeffler, Chiara M. L., van Treeck, Marko, Yuan, Tanwei, West, Nicholas P., Quirke, Philip, Brinker, Titus J., Brenner, Hermann, Favre, Loëtitia, Märkl, Bruno, Stenzinger, Albrecht, Brobeil, Alexander, Hoffmeister, Michael, Calderaro, Julien, Pujals, Anaïs, and Kather, Jakob Nikolas

Published
2024
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13. Stratifying esophago-gastric cancer treatment using a patient-derived organoid-based threshold

Author

Schmäche, Tim, Fohgrub, Juliane, Klimova, Anna, Laaber, Karin, Drukewitz, Stephan, Merboth, Felix, Hennig, Alexander, Seidlitz, Therese, Herbst, Friederike, Baenke, Franziska, Ada, Anne-Marlen, Groß, Thomas, Wenzel, Carina, Ball, Claudia R., Praetorius, Christian, Schmidt, Thomas, Ringelband-Schilling, Barbara, Koschny, Ronald, Stenzinger, Albrecht, Roeder, Ingo, Jaeger, Dirk, Zeissig, Sebastian, Welsch, Thilo, Aust, Daniela, Glimm, Hanno, Folprecht, Gunnar, Weitz, Jürgen, Haag, Georg M., and Stange, Daniel E.

Published
2024
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16. Comutations and KRASG12C Inhibitor Efficacy in Advanced NSCLC.

Author

Negrao, Marcelo, Araujo, Haniel, Lamberti, Giuseppe, Cooper, Alissa, Akhave, Neal, Zhou, Teng, Delasos, Lukas, Hicks, J, Aldea, Mihaela, Minuti, Gabriele, Hines, Jacobi, Aredo, Jacqueline, Dennis, Michael, Scott, Susan, Bironzo, Paolo, Scheffler, Matthias, Christopoulos, Petros, Stenzinger, Albrecht, Riess, Jonathan, Kim, So, Goldberg, Sarah, Li, Mingjia, Wang, Qi, Qing, Yun, Ni, Ying, Do, Minh, Lee, Richard, Ricciuti, Biagio, Alessi, Joao, Wang, Jing, Resuli, Blerina, Landi, Lorenza, Tseng, Shu-Chi, Nishino, Mizuki, Digumarthy, Subba, Rinsurongkawong, Waree, Rinsurongkawong, Vadeerat, Vaporciyan, Ara, Blumenschein, George, Zhang, Jianjun, Owen, Dwight, Mountzios, Giannis, Shu, Catherine, Bestvina, Christine, Garassino, Marina, Marrone, Kristen, Gray, Jhanelle, Patel, Sandip, Cummings, Amy, Wakelee, Heather, Wolf, Juergen, Scagliotti, Giorgio, Cappuzzo, Federico, Barlesi, Fabrice, Patil, Pradnya, Drusbosky, Leylah, Gibbons, Don, Meric-Bernstam, Funda, Lee, J, Heymach, John, Hong, David, Heist, Rebecca, Awad, Mark, Skoulidis, Ferdinandos, Blakely, Collin, and Chakrabarti, Turja

Subjects
Humans, Carcinoma, Non-Small-Cell Lung, Lung Neoplasms, Kelch-Like ECH-Associated Protein 1, Phosphatidylinositol 3-Kinases, Mutation, NF-E2-Related Factor 2, DNA Helicases, Nuclear Proteins, Transcription Factors
Abstract

UNLABELLED: Molecular modifiers of KRASG12C inhibitor (KRASG12Ci) efficacy in advanced KRASG12C-mutant NSCLC are poorly defined. In a large unbiased clinicogenomic analysis of 424 patients with non-small cell lung cancer (NSCLC), we identified and validated coalterations in KEAP1, SMARCA4, and CDKN2A as major independent determinants of inferior clinical outcomes with KRASG12Ci monotherapy. Collectively, comutations in these three tumor suppressor genes segregated patients into distinct prognostic subgroups and captured ∼50% of those with early disease progression (progression-free survival ≤3 months) with KRASG12Ci. Pathway-level integration of less prevalent coalterations in functionally related genes nominated PI3K/AKT/MTOR pathway and additional baseline RAS gene alterations, including amplifications, as candidate drivers of inferior outcomes with KRASG12Ci, and revealed a possible association between defective DNA damage response/repair and improved KRASG12Ci efficacy. Our findings propose a framework for patient stratification and clinical outcome prediction in KRASG12C-mutant NSCLC that can inform rational selection and appropriate tailoring of emerging combination therapies. SIGNIFICANCE: In this work, we identify co-occurring genomic alterations in KEAP1, SMARCA4, and CDKN2A as independent determinants of poor clinical outcomes with KRASG12Ci monotherapy in advanced NSCLC, and we propose a framework for patient stratification and treatment personalization based on the comutational status of individual tumors. See related commentary by Heng et al., p. 1513. This article is highlighted in the In This Issue feature, p. 1501.

Published
2023

20. Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection

Author

Kovacs, Balint, primary, Netzer, Nils, additional, Baumgartner, Michael, additional, Eith, Carolin, additional, Bounias, Dimitrios, additional, Meinzer, Clara, additional, Jäger, Paul F., additional, Zhang, Kevin S., additional, Floca, Ralf, additional, Schrader, Adrian, additional, Isensee, Fabian, additional, Gnirs, Regula, additional, Görtz, Magdalena, additional, Schütz, Viktoria, additional, Stenzinger, Albrecht, additional, Hohenfellner, Markus, additional, Schlemmer, Heinz-Peter, additional, Wolf, Ivo, additional, Bonekamp, David, additional, and Maier-Hein, Klaus H., additional

Published
2024
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21. Benchmarking whole exome sequencing in the German network for personalized medicine

Author

Menzel, Michael, Martis-Thiele, Mihaela, Goldschmid, Hannah, Ott, Alexander, Romanovsky, Eva, Siemanowski-Hrach, Janna, Seillier, Lancelot, Brüchle, Nadina Ortiz, Maurer, Angela, Lehmann, Kjong-Van, Begemann, Matthias, Elbracht, Miriam, Meyer, Robert, Dintner, Sebastian, Claus, Rainer, Meier-Kolthoff, Jan P., Blanc, Eric, Möbs, Markus, Joosten, Maria, Benary, Manuela, Basitta, Patrick, Hölscher, Florian, Tischler, Verena, Groß, Thomas, Kutz, Oliver, Prause, Rebecca, William, Doreen, Horny, Kai, Goering, Wolfgang, Sivalingam, Sugirthan, Borkhardt, Arndt, Blank, Cornelia, Junk, Stefanie V., Yasin, Layal, Moskalev, Evgeny A., Carta, Maria Giulia, Ferrazzi, Fulvia, Tögel, Lars, Wolter, Steffen, Adam, Eugen, Matysiak, Uta, Rosenthal, Tessa, Dönitz, Jürgen, Lehmann, Ulrich, Schmidt, Gunnar, Bartels, Stephan, Hofmann, Winfried, Hirsch, Steffen, Dikow, Nicola, Göbel, Kirsten, Banan, Rouzbeh, Hamelmann, Stefan, Fink, Annette, Ball, Markus, Neumann, Olaf, Rehker, Jan, Kloth, Michael, Murtagh, Justin, Hartmann, Nils, Jurmeister, Phillip, Mock, Andreas, Kumbrink, Jörg, Jung, Andreas, Mayr, Eva-Maria, Jacob, Anne, Trautmann, Marcel, Kirmse, Santina, Falkenberg, Kim, Ruckert, Christian, Hirsch, Daniela, Immel, Alexander, Dietmaier, Wolfgang, Haack, Tobias, Marienfeld, Ralf, Fürstberger, Axel, Niewöhner, Jakob, Gerstenmaier, Uwe, Eberhardt, Timo, Greif, Philipp A., Appenzeller, Silke, Maurus, Katja, Doll, Julia, Jelting, Yvonne, Jonigk, Danny, Märkl, Bruno, Beule, Dieter, Horst, David, Wulf, Anna-Lena, Aust, Daniela, Werner, Martin, Reuter-Jessen, Kirsten, Ströbel, Philipp, Auber, Bernd, Sahm, Felix, Merkelbach-Bruse, Sabine, Siebolts, Udo, Roth, Wilfried, Lassmann, Silke, Klauschen, Frederick, Gaisa, Nadine T., Weichert, Wilko, Evert, Matthias, Armeanu-Ebinger, Sorin, Ossowski, Stephan, Schroeder, Christopher, Schaaf, Christian P., Malek, Nisar, Schirmacher, Peter, Kazdal, Daniel, Pfarr, Nicole, Budczies, Jan, and Stenzinger, Albrecht

Published
2024
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24. Cardiac Reentry Modeled by Spatiotemporal Chaos in a Coupled Map Lattice

Author

Stenzinger, R. V. and Tragtenberg, M. H. R.

Subjects
Quantitative Biology - Tissues and Organs, Nonlinear Sciences - Chaotic Dynamics, Nonlinear Sciences - Pattern Formation and Solitons
Abstract

Arrhythmias are potentially fatal disruptions to the normal heart rhythm, but their underlying dynamics is still poorly understood. Theoretical modeling is an important tool to fill this gap. Typical studies often employ detailed multidimensional conductance-based models. We describe the cardiac muscle with a three-dimensional map-based membrane potential model in lattices. Although maps retain the biophysical behavior of cells and generate computationally efficient tissue models, few studies have used them to understand cardiac dynamics. Our study captures healthy and pathological behaviors with fewer parameters and simpler equations than conductance models. We successfully generalize results obtained previously with reaction-diffusion systems, showing how chaotic properties result in reentry, a pathological propagation of stimuli that evolves to arrhythmias with complex spatiotemporal features. The bifurcation diagram of the single cell is very similar to that obtained in a detailed conductance-based model. We find torsade de pointes, a clinical manifestation of some types of tachycardia in the electrocardiogram, using a generic sampling of the whole network during spiral waves. We also find a novel type of dynamical pattern, with wavefronts composed of synchronized cardiac plateaus and bursts. Our study provides the first in-depth look at the use of map-based models to simulate complex cardiac dynamics., Comment: 15 pages, 9 figures. Eur. Phys. J. Spec. Top. (2022)

Published
2022
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26. Testing for deficient mismatch repair and microsatellite instability: A focused update

Author

Rüschoff, Josef, Schildhaus, Hans-Ulrich, Rüschoff, Jan Hendrik, Jöhrens, Korinna, Bocker Edmonston, Tina, Dietmaier, Wolfgang, Bläker, Hendrik, Baretton, Gustavo, Horst, David, Dietel, Manfred, Hartmann, Arndt, Klauschen, Frederick, Merkelbach-Bruse, Sabine, Stenzinger, Albrecht, Schöniger, Sandra, Tiemann, Markus, Weichert, Wilko, and Büttner, Reinhard

Published
2023
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30. Testung auf Mismatch-Reparatur-Defizienz und Mikrosatelliteninstabilität: Eine fokussierte Aktualisierung

Author

Rüschoff, Josef, Schildhaus, Hans-Ulrich, Rüschoff, Jan Hendrik, Jöhrens, Korinna, Bocker-Edmonston, Tina, Dietmaier, Wolfgang, Bläker, Hendrik, Baretton, Gustavo, Horst, David, Dietel, Manfred, Hartmann, Arndt, Klauschen, Frederick, Merkelbach-Bruse, Sabine, Stenzinger, Albrecht, Schöniger, Sandra, Tiemann, Markus, Weichert, Wilko, and Büttner, Reinhard

Published
2023
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31. Small cell transformation in EGFR-mutated non-small cell lung cancer: DLL3 expression and efficacy of immune checkpoint inhibitors or tyrosine kinase inhibitors combined with chemotherapy

Author

Saalfeld, Felix Carl, Möller, Johanna, Christopoulos, Petros, Wenzel, Carina, Rasokat, Anna, Wang, Xuejun Alice, Vathiotis, Ioannis, König, David, Illini, Oliver, Grohé, Christian, Wiesweg, Marcel, Wesseler, Claas, Schubart, Christoph, Pelusi, Natalie, Rohde, Gernot, Overbeck, Tobias R., Kirfel, Jutta, Alt, Jürgen, Kauffmann-Guerrero, Diego, Griesinger, Frank, Kulhavy, Jonas, Allgäuer, Michael, Klimova, Anna, Schütz, Maret, Aust, Daniela E., Hochmair, Maximilian J., Rothschild, Sacha I., Syrigos, Konstantinos N., Veluswamy, Rajwanth, Michels, Sebastian, Stenzinger, Albrecht, Jöhrens, Korinna, and Wermke, Martin

Published
2024
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32. ROS1 fusions in resected stage I-III adenocarcinoma: Results from the European Thoracic Oncology Platform Lungscape project

Author

Speel, Ernst-Jan M., Dafni, Urania, Thunnissen, Erik, Hendrik Rüschoff, Jan, O'Brien, Cathal, Kowalski, Jacek, Kerr, Keith M., Bubendorf, Lukas, Sansano, Irene, Joseph, Leena, Kriegsmann, Mark, Navarro, Atilio, Monkhorst, Kim, Bille Madsen, Line, Hernandez Losa, Javier, Biernat, Wojciech, Stenzinger, Albrecht, Rüland, Andrea, Hillen, Lisa M., Marti, Nesa, Molina-Vila, Miguel A., Dellaporta, Tereza, Kammler, Roswitha, Peters, Solange, Stahel, Rolf A., Finn, Stephen P., and Radonic, Teodora

Published
2024
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34. Recommendations for the use of next-generation sequencing (NGS) for patients with advanced cancer in 2024: a report from the ESMO Precision Medicine Working Group

Author

Mosele, M.F., Westphalen, C.B., Stenzinger, A., Barlesi, F., Bayle, A., Bièche, I., Bonastre, J., Castro, E., Dienstmann, R., Krämer, A., Czarnecka, A.M., Meric-Bernstam, F., Michiels, S., Miller, R., Normanno, N., Reis-Filho, J., Remon, J., Robson, M., Rouleau, E., Scarpa, A., Serrano, C., Mateo, J., and André, F.

Published
2024
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37. Acute expression of human APOBEC3B in mice results in RNA editing and lethality

Author

Alonso de la Vega, Alicia, Temiz, Nuri Alpay, Tasakis, Rafail, Somogyi, Kalman, Salgueiro, Lorena, Zimmer, Eleni, Ramos, Maria, Diaz-Jimenez, Alberto, Chocarro, Sara, Fernández-Vaquero, Mirian, Stefanovska, Bojana, Reuveni, Eli, Ben-David, Uri, Stenzinger, Albrecht, Poth, Tanja, Heikenwälder, Mathias, Papavasiliou, Nina, Harris, Reuben S., and Sotillo, Rocio

Published
2023
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39. NCT/DKFZ MASTER handbook of interpreting whole-genome, transcriptome, and methylome data for precision oncology

Author

Mock, Andreas, Teleanu, Maria-Veronica, Kreutzfeldt, Simon, Heilig, Christoph E., Hüllein, Jennifer, Möhrmann, Lino, Jahn, Arne, Hanf, Dorothea, Kerle, Irina A., Singh, Hans Martin, Hutter, Barbara, Uhrig, Sebastian, Fröhlich, Martina, Neumann, Olaf, Hartig, Andreas, Brückmann, Sascha, Hirsch, Steffen, Grund, Kerstin, Dikow, Nicola, Lipka, Daniel B., Renner, Marcus, Bhatti, Irfan Ahmed, Apostolidis, Leonidas, Schlenk, Richard F., Schaaf, Christian P., Stenzinger, Albrecht, Schröck, Evelin, Hübschmann, Daniel, Heining, Christoph, Horak, Peter, Glimm, Hanno, and Fröhling, Stefan

Published
2023
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40. Nivolumab and ipilimumab in recurrent or refractory cancer of unknown primary: a phase II trial

Author

Pouyiourou, Maria, Kraft, Bianca N., Wohlfromm, Timothy, Stahl, Michael, Kubuschok, Boris, Löffler, Harald, Hacker, Ulrich T., Hübner, Gerdt, Weiss, Lena, Bitzer, Michael, Ernst, Thomas, Schütt, Philipp, Hielscher, Thomas, Delorme, Stefan, Kirchner, Martina, Kazdal, Daniel, Ball, Markus, Kluck, Klaus, Stenzinger, Albrecht, Bochtler, Tilmann, and Krämer, Alwin

Published
2023
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41. Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients

Author

Menzel, Michael, Ossowski, Stephan, Kral, Sebastian, Metzger, Patrick, Horak, Peter, Marienfeld, Ralf, Boerries, Melanie, Wolter, Steffen, Ball, Markus, Neumann, Olaf, Armeanu-Ebinger, Sorin, Schroeder, Christopher, Matysiak, Uta, Goldschmid, Hannah, Schipperges, Vincent, Fürstberger, Axel, Allgäuer, Michael, Eberhardt, Timo, Niewöhner, Jakob, Blaumeiser, Andreas, Ploeger, Carolin, Haack, Tobias Bernd, Tay, Timothy Kwang Yong, Kelemen, Olga, Pauli, Thomas, Kirchner, Martina, Kluck, Klaus, Ott, Alexander, Renner, Marcus, Admard, Jakob, Gschwind, Axel, Lassmann, Silke, Kestler, Hans, Fend, Falko, Illert, Anna Lena, Werner, Martin, Möller, Peter, Seufferlein, Thomas Theodor Werner, Malek, Nisar, Schirmacher, Peter, Fröhling, Stefan, Kazdal, Daniel, Budczies, Jan, and Stenzinger, Albrecht

Published
2023
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42. High EVI1 and PARP1 expression as favourable prognostic markers in high-grade serous ovarian carcinoma

Author

Jank, Paul, Leichsenring, Jonas, Kolb, Svenja, Hoffmann, Inga, Bischoff, Philip, Kunze, Catarina Alisa, Dragomir, Mihnea P., Gleitsmann, Moritz, Jesinghaus, Moritz, Schmitt, Wolfgang D., Kulbe, Hagen, Sers, Christine, Stenzinger, Albrecht, Sehouli, Jalid, Braicu, Ioana Elena, Westhoff, Christina, Horst, David, Denkert, Carsten, Gröschel, Stefan, and Taube, Eliane T.

Published
2023
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45. The German Network for Personalized Medicine to enhance patient care and translational research

Author

Illert, A. L., Stenzinger, A., Bitzer, M., Horak, P., Gaidzik, V. I., Möller, Y., Beha, J., Öner, Ö., Schmitt, F., Laßmann, S., Ossowski, S., Schaaf, C. P., Hallek, M., Brümmendorf, T. H., Albers, P., Fehm, T., Brossart, P., Glimm, H., Schadendorf, D., Bleckmann, A., Brandts, C. H., Esposito, I., Mack, E., Peters, C., Bokemeyer, C., Fröhling, S., Kindler, T., Algül, H., Heinemann, V., Döhner, H., Bargou, R., Ellenrieder, V., Hillemanns, P., Lordick, F., Hochhaus, A., Beckmann, M. W., Pukrop, T., Trepel, M., Sundmacher, L., Wesselmann, S., Nettekoven, G., Kohlhuber, F., Heinze, O., Budczies, J., Werner, M., Nikolaou, K., Beer, A. J., Tabatabai, G., Weichert, W., Keilholz, U., Boerries, M., Kohlbacher, O., Duyster, J., Thimme, R., Seufferlein, T., Schirmacher, P., and Malek, N. P.

Published
2023
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46. BAP1 and PTEN mutations shape the immunological landscape of clear cell renal cell carcinoma and reveal the intertumoral heterogeneity of T cell suppression: a proof-of-concept study

Author

Friedhoff, Jana, Schneider, Felix, Jurcic, Christina, Endris, Volker, Kirchner, Martina, Sun, Angela, Bolnavu, Iulia, Pohl, Laura, Teroerde, Miriam, Kippenberger, Maximilian, Schwab, Constantin, Kaczorowski, Adam, Zschäbitz, Stefanie, Jäger, Dirk, Hohenfellner, Markus, Stenzinger, Albrecht, Duensing, Anette, and Duensing, Stefan

Published
2023
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47. Outcome of First-Line Treatment With Pembrolizumab According to KRAS/TP53 Mutational Status for Nonsquamous Programmed Death-Ligand 1–High (≥50%) NSCLC in the German National Network Genomic Medicine Lung Cancer

Author

Hilbrandt, Moritz, Süptitz, Juliane, Grah, Christian, Velthaus, Janna-Lisa, Kopp, Hans-Georg, Schmidt, Bernd, Horter, Susanne, Keymel, Stefanie, Aydilek, Enver, Tritchkova, Guergana, Raspe, Matthias, Papić, Dražen, Florian, Stefan, Horst, David, Wild, Peter J., Thomas, Michael, Grohé, Christian, Bleckmann, Annalen, Wermke, Martin, Hummel, Horst-Dieter, Stratmann, Jan, Schütte, Wolfgang, Bischoff, Philip, Reck, Martin, Overbeck, Tobias, Christopoulos, Petros, Rittmeyer, Achim, Lüders, Heike, Kollmeier, Jens, Kulhavy, Jonas, Kemper, Marcel, Reinmuth, Niels, Röper, Julia, Janning, Melanie, Sommer, Linna, Aguinarte, Lukas, Koch, Myriam, Wiesweg, Marcel, Wesseler, Claas, Waller, Cornelius F., Kauffmann-Guerrero, Diego, Stenzinger, Albrecht, Stephan-Falkenau, Susann, Trautmann, Marcel, Lassmann, Silke, Tiemann, Markus, Klauschen, Frederick, Sebastian, Martin, Griesinger, Frank, Wolf, Jürgen, Loges, Sonja, and Frost, Nikolaj

Published
2024
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48. First-line immunotherapy for lung cancer with MET exon 14 skipping and the relevance of TP53 mutations

Author

Blasi, Miriam, Kuon, Jonas, Lüders, Heike, Misch, Daniel, Kauffmann-Guerrero, Diego, Hilbrandt, Moritz, Kazdal, Daniel, Falkenstern-Ge, Roger-Fei, Hackanson, Björn, Dintner, Sebastian, Faehling, Martin, Kirchner, Martina, Volckmar, Anna-Lena, Kopp, Hans-Georg, Allgäuer, Michael, Grohé, Christian, Tufman, Amanda, Reck, Martin, Frost, Nikolaj, Stenzinger, Albrecht, Thomas, Michael, and Christopoulos, Petros

Published
2024
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50. High Concordance of Different Assays in the Determination of Homologous Recombination Deficiency–Associated Genomic Instability in Ovarian Cancer

Author

Pfarr, Nicole, von Schwarzenberg, Karin, Zocholl, Dario, Merkelbach-Bruse, Sabine, Siemanowski, Janna, Mayr, Eva-Maria, Herold, Sylvia, Kleo, Karsten, Heukamp, Lukas C., Willing, Eva-Maria, Menzel, Michael, Lehmann, Ulrich, Bartels, Stephan, Chakraborty, Shounak, Baretton, Gustavo, Demes, Melanie C., Döring, Claudia, Kazdal, Daniel, Budczies, Jan, Rad, Roland, Wild, Peter, Christinat, Yann, McKee, Thomas, Schirmacher, Peter, Horst, David, Büttner, Reinhard, Stenzinger, Albrecht, Sehouli, Jalid, Vollbrecht, Claudia, Hummel, Michael, Braicu, Elena I., and Weichert, Wilko

Published
2024
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