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Magunia, Harry ; Lederer, Simone ; Verbuecheln, Raphael ; Gilot, Bryant ; Köppen, Michael ; Häberle, Helene ; Mirakaj, Valbona ; Hofmann, Pascal ; Marx, Gernot ; Bickenbach, Johannes ; Nohe, Boris ; Lay, Michael ; Spies, Claudia D. ; Edel, Andreas ; Schiefenhövel, Fridtjof ; Rahmel, Tim ; Putensen, Christian ; Sellmann, Timur ; Koch, Thea ; Brandenburger, Timo ; Kindgen-Milles, Detlef ; Brenner, Thorsten ; Berger, Marc ; Zacharowski, Kai ; Adam, Elisabeth ; Posch, Matthias ; Mörer, Onnen ; Scheer, Christian S. ; Sedding, Daniel ; Weigand, Markus A. ; Fichtner, Falk ; Nau, Carla ; Prätsch, Florian ; Wiesmann, Thomas ; Koch, Christian ; Schneider, Gerhard ; Lahmer, Tobias ; Straub, Andreas ; Meiser, Andreas ; Weiß, Manfred ; Jungwirth, Bettina ; Wappler, Frank ; Meybohm, Patrick ; Herrmann, Johannes ; Malek, Nisar Peter ; Kohlbacher, Oliver ; Biergans, Stephanie ; Rosenberger, Peter
Background: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes. Methods: A Germany-wide electronic registry was established to pseudonymously collect admission, therapeutic and discharge information of SARS-CoV-2 ICU patients retrospectively and prospectively. Machine learning approaches were evaluated for the accuracy and interpretability of predictions. The Explainable Boosting Machine approach was selected as the most suitable method. Individual, non-linear shape functions for predictive parameters and parameter interactions are reported. Results: 1039 patients were included in the Explainable Boosting Machine model, 596 patients retrospectively collected, and 443 patients prospectively collected. The model for prediction of general ICU outcome was shown to be more reliable to predict “survival”. Age, inflammatory and thrombotic activity, and severity of ARDS at ICU admission were shown to be predictive of ICU survival. Patients’ age, pulmonary dysfunction and transfer from an external institution were predictors for ECMO therapy. The interaction of patient age with D-dimer levels on admission and creatinine levels with SOFA score without GCS were predictors for renal replacement therapy. Conclusions: Using Explainable Boosting Machine analysis, we confirmed and weighed previously reported and identified novel predictors for outcome in critically ill COVID-19 patients. Using this strategy, predictive modeling of COVID-19 ICU patient outcomes can be performed overcoming the limitations of linear regression models. Trial registration “ClinicalTrials” (clinicaltrials.gov) under NCT04455451.
Non-standard errors
(2021)
Menkveld, Albert J. ; Dreber, Anna ; Holzmeister, Felix ; Huber, Jürgen ; Johannesson, Magnus ; Kirchler, Michael ; Razen, Michael ; Weitzel, Utz ; Abad Díaz, David ; Abudy, Menachem ; Adrian, Tobias ; Ait-Sahalia, Yacine ; Akmansoy, Olivier ; Alcock, Jamie ; Alexeev, Vitali ; Aloosh, Arash ; Amato, Livia ; Amaya, Diego ; Angel, James ; Bach, Amadeus ; Baidoo, Edwin ; Bakalli, Gaetan ; Barbon, Andrea ; Bashchenko, Oksana ; Bindra, Parampreet Christopher ; Bjonnes, Geir Hoidal ; Black, Jeff ; Black, Bernard S. ; Bohorquez, Santiago ; Bondarenko, Oleg ; Bos, Charles S. ; Bosch-Rosa, Ciril ; Bouri, Elie ; Brownlees, Christian ; Calamia, Anna ; Cao, Viet Nga ; Capelle-Blancard, Gunther ; Capera, Laura ; Caporin, Massimiliano ; Carrion, Allen ; Caskurlu, Tolga ; Chakrabarty, Bidisha ; Chernov, Mikhail ; Cheung, William M. ; Chincarini, Ludwig Boris ; Chordia, Tarun ; Chow, Sheung Chi ; Clapham, Benjamin ; Colliard, Jean-Edouard ; Comerton-Forde, Carole ; Curran, Edward ; Dao, Thong ; Dare, Wale ; Davies, Ryan J. ; De Blasis, Riccardo ; De Nard, Gianluca ; Declerck, Fany ; Deev, Oleg ; Degryse, Hans ; Deku, Solomon ; Desagre, Christophe ; Dijk, Mathijs van ; Dim, Chukwuma ; Dimpfl, Thomas ; Dong, Yun Jiang ; Drummond, Philip ; Dudda, Tom ; Dumitrescu, Ariadna ; Dyakov, Teodor ; Haubo Dyhrberg, Anne ; Dzieliński, Michał ; Eksi, Asli ; El Kalak, Izidin ; Ellen, Saskia ter ; Eugster, Nicolas ; Evans, Martin D. D. ; Farrell, Michael ; Félez-Viñas, Ester ; Ferrara, Gerardo ; Ferrouhi, El Mehdi ; Flori, Andrea ; Fluharty-Jaidee, Jonathan ; Foley, Sean ; Fong, Kingsley Y. L. ; Foucault, Thierry ; Franus, Tatiana ; Franzoni, Francesco ; Frijns, Bart ; Frömmel, Michael ; Fu, Servanna ; Füllbrunn, Sascha ; Gan, Baoqing ; Gehrig, Thomas ; Gerritsen, Dirk ; Gil-Bazo, Javier ; Glosten, Lawrence R. ; Gomez, Thomas ; Gorbenko, Arseny ; Güçbilmez, Ufuk ; Grammig, Joachim ; Gregoire, Vincent ; Hagströmer, Björn ; Hambuckers, Julien ; Hapnes, Erik ; Harris, Jeffrey H. ; Harris, Lawrence ; Hartmann, Simon ; Hasse, Jean-Baptiste ; Hautsch, Nikolaus ; He, Xuezhong ; Heath, Davidson ; Hediger, Simon ; Hendershott, Terrence ; Hibbert, Ann Marie ; Hjalmarsson, Erik ; Hoelscher, Seth A. ; Hoffmann, Peter ; Holden, Craig W. ; Horenstein, Alex R. ; Huang, Wenqian ; Huang, Da ; Hurlin, Christophe ; Ivashchenko, Alexey ; Iyer, Subramanian Rama ; Jahanshahloo, Hossein ; Jalkh, Naji ; Jones, Charles M. ; Jurkatis, Simon ; Jylha, Petri ; Kaeck, Andreas ; Kaiser, Gabriel ; Karam, Arzé ; Karmaziene, Egle ; Kassner, Bernhard ; Kaustia, Markku ; Kazak, Ekaterina ; Kearney, Fearghal ; Kervel, Vincent van ; Khan, Saad ; Khomyn, Marta ; Klein, Tony ; Klein, Olga ; Klos, Alexander ; Koetter, Michael ; Krahnen, Jan Pieter ; Kolokolov, Aleksey ; Korajczyk, Robert A. ; Kozhan, Roman ; Kwan, Amy ; Lajaunie, Quentin ; Lam, FY Eric C ; Lambert, Marie ; Langlois, Hugues ; Lausen, Jens ; Lauter, Tobias ; Leippold, Markus ; Levin, Vladimir ; Li, Yijie ; Li, Hui ; Liew, Chee Yoong ; Lindner, Thomas ; Linton, Oliver B. ; Liu, Jiacheng ; Liu, Anqi ; Llorente, Guillermo ; Lof, Matthijs ; Lohr, Ariel ; Longstaff, Francis A. ; Lopez-Lira, Alejandro ; Mankad, Shawn ; Mano, Nicola ; Marchal, Alexis ; Martineau, Charles ; Mazzola, Francesco ; Meloso, Debrah ; Mihet, Roxana ; Mohan, Vijay ; Moinas, Sophie ; Moore, David ; Mu, Liangyi ; Muravyev, Dmitriy ; Murphy, Dermot ; Neszveda, Gabor ; Neumeier, Christian ; Nielsson, Ulf ; Nimalendran, Mahendrarajah ; Nolte, Sven ; Norden, Lars L. ; O'Neill, Peter ; Obaid, Khaled ; Ødegaard, Bernt Arne ; Östberg, Per ; Painter, Marcus ; Palan, Stefan ; Palit, Imon ; Park, Andreas ; Pascual, Roberto ; Pasquariello, Paolo ; Pastor, Lubos ; Patel, Vinay ; Patton, Andrew J. ; Pearson, Neil D. ; Pelizzon, Loriana ; Rzeźnik, Aleksandra ; Sanford, Anthony ; Sankaran, Harikumar ; Sarkar, Asani ; Sarno, Lucio ; Scaillet, O. ; Scharnowski, Stefan ; Schenk-Hoppé, Klaus Reiner ; Schertler, Andrea ; Schneider, Michael ; Schroeder, Florian ; Schürhoff, Norman ; Schuster, Philipp ; Schwarz, Marco A. ; Seasholes, Mark S. ; Seeger, Norman ; Shachar, Or ; Shkilko, Andriy ; Shui, Jessica ; Sikic, Mario ; Simion, Giorgia ; Smales, Lee A. ; Söderlind, Paul ; Sojli, Elvira ; Sokolov, Konstantin ; Spokeviciute, Laima ; Stefanova, Denitsa ; Subrahmanyam, Marti G. ; Neusüss, Sebastian ; Szaszi, Barnabas ; Talavera, Oleksandr ; Tang, Yuehua ; Taylor, Nicholas ; Tham, Wing Wah ; Theissen, Erik ; Thimme, Julian ; Tonks, Ian ; Tran, Hai ; Trapin, Luca ; Trolle, Anders B. ; Valente, Giorgio ; Van Ness, Robert A. ; Vasquez, Aurelio ; Verousis, Thanos ; Verwijmeren, Patrick ; Vilhelmsson, Anders ; Vilkov, Grigory ; Vladimirov, Vladimir ; Vogel, Sebastian ; Voigt, Stefan ; Wagner, Wolf ; Walther, Thomas ; Weiss, Patrick ; Wel, Michel van der ; Werner, Ingrid M. ; Westerholm, Joakim ; Westheide, Christian ; Wipplinger, Evert ; Wolf, Michael ; Wolff, Christiaan Cornelis Petrus ; Wolk, Leonard ; Wong, Wing Keung ; Wrampelmeyer, Jan ; Xia, Shuo ; Xiu, Dacheng ; Xu, Ke ; Xu, Caihong ; Yadav, Pradeep ; Yagüe, José ; Yan, Cheng ; Yang, Antti ; Yoo, Woongsun ; Yu, Wenjia ; Yu, Shihao ; Yueshen, Bart Zhou ; Yuferova, Darya ; Zamojski, Marcin ; Zareei, Abalfazl ; Zeisberger, Stefan ; Zhang, Sarah ; Zhang, Xiaoyu ; Zhong, Zhuo ; Zhou, Z. Ivy ; Zhou, Chen ; Zhu, Xingyu Sonya ; Zoican, Marius ; Zwinkels, Remco C. J. ; Chen, Jian ; Duevski, Teodor ; Gao, Ge ; Gemayel, Roland ; Gilder, Dudley ; Kuhle, Paul ; Pagnotta, Emiliano ; Pelli, Michele ; Sönksen, Jantje ; Zhang, Lu ; Ilczuk, Konrad ; Bogoev, Dimitar ; Qian, Ya ; Wika, Hans C. ; Yu, Yihe ; Zhao, Lu ; Mi, Michael ; Bao, Li ; Vaduva, Andreea ; Prokopczuk, Marcel ; Avetikian, Alejandro ; Wu, Zhen-Xing
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
El-Helou, Sabine M. ; Biegner, Anika-Kerstin ; Bode, Sebastian ; Ehl, Stephan ; Heeg, Maximilian ; Maccari, Maria E. ; Ritterbusch, Henrike ; Speckmann, Carsten ; Rusch, Stephan ; Scheible, Raphael ; Warnatz, Klaus ; Atschekzei, Faranaz ; Beider, Renata ; Ernst, Diana ; Gerschmann, Stev ; Jablonka, Alexandra ; Mielke, Gudrun ; Schmidt, Reinhold E. ; Schürmann, Gesine ; Sogkas, Georgios ; Baumann, Ulrich ; Klemann, Christian ; Viemann, Dorothee ; Bernuth, Horst von ; Krüger, Renate ; Hanitsch, Leif Gunnar ; Scheibenbogen, Carmen ; Wittke, Kirsten ; Albert, Michael H. ; Eichinger, Anna ; Hauck, Fabian ; Klein, Christoph ; Rack-Hoch, Anita ; Sollinger, Franz ; Avila, Anne ; Borte, Michael ; Borte, Stephan ; Fasshauer, Maria ; Hauenherm, Anja ; Kellner, Nils ; Müller, Anna H. ; Ülzen, Anett ; Bader, Peter ; Bakhtiar, Shahrzad ; Lee, Jae-Yun ; Heß, Ursula ; Schubert, Ralf ; Wölke, Sandra ; Zielen, Stefan ; Ghosh, Sujal ; Laws, Hans-Jürgen ; Neubert, Jennifer ; Oommen, Prasad Thomas ; Hönig, Manfred ; Schulz, Ansgar ; Steinmann, Sandra ; Schwarz, Klaus ; Dückers, Gregor ; Lamers, Beate ; Langemeyer, Vanessa ; Niehues, Tim ; Shai, Sonu ; Graf, Dagmar ; Müglich, Carmen ; Schmalzing, Marc ; Schwaneck, Eva C. ; Tony, Hans-Peter ; Dirks, Johannes ; Haase, Gabriele ; Liese, Johannes G. ; Morbach, Henner ; Föll, Dirk ; Hellige, Antje ; Wittkowski, Helmut ; Masjosthusmann, Katja ; Mohr, Michael ; Geberzahn, Linda ; Hedrich, Christian Michael ; Müller, Christiane ; Rösen-Wolff, Angela ; Roesler, Joachim ; Zimmermann, Antje ; Behrends, Uta ; Rieber, Nikolaus ; Schauer, Uwe ; Handgretinger, Rupert ; Holzer, Ursula ; Henes, Jörg Christoph ; Kanz, Lothar ; Boesecke, Christoph ; Rockstroh, Jürgen ; Schwarze-Zander, Carolynne ; Wasmuth, Jan-Christian ; Dilloo, Dagmar ; Hülsmann, Brigitte ; Schönberger, Stefan ; Schreiber, Stefan ; Zeuner, Rainald ; Ankermann, Tobias ; Bismarck, Philipp von ; Huppertz, Hans-Iko ; Kaiser-Labusch, Petra ; Greil, Johann ; Jakoby, Donate ; Kulozik, Andreas ; Metzler, Markus ; Naumann-Bartsch, Nora ; Sobik, Bettina ; Graf, Norbert ; Heine, Sabine ; Kobbe, Robin ; Lehmberg, Kai ; Müller, Ingo ; Herrmann, Friedrich ; Horneff, Gerd ; Klein, Ariane ; Peitz, Joachim ; Schmidt, Nadine ; Bielack, Stefan S. ; Groß-Wieltsch, Ute ; Classen, Carl Friedrich ; Klasen, Jessica ; Deutz, Peter ; Kamitz, Dirk ; Lassay, Lisa ; Tenbrock, Klaus ; Wagner, Norbert ; Bernbeck, Benedikt ; Brummel, Bastian ; Lara-Villacanas, Eusebia ; Münstermann, Esther ; Schneider, Dominik T. ; Tietsch, Nadine ; Westkemper, Marco ; Weiß, Michael ; Kramm, Christof M. ; Kühnle, Ingrid ; Kullman, Silke ; Girschick, Hermann ; Specker, Christof ; Vinnemeier-Laubenthal, Elisabeth ; Haenicke, Henriette ; Schulz, Claudia ; Schweigerer, Lothar ; Müller, Thomas G. ; Stiefel, Martina ; Belohradsky, Bernd H. ; Soetedjo, Veronika ; Kindle, Gerhard ; Grimbacher, Bodo
Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs.
Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel.
Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1–25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0–88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE- syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%—subcutaneous; 29%—intravenous; 1%—unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy.
Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment.
Ziel des Teilprojekts ist die thematische Erschließung der Korpora, um sowohl themenspezifische virtuelle Subkorpora zusammenstellen zu können als auch aufgrund der Analyse sachgebietsbezogener Häufigkeitsverteilungen z.B. Lesarten disambiguieren zu können. Ausgangspunkt ist die Erstellung einer Taxonomie von Sachgebietsthemen. Dies erfolgt in einem semiautomatischen Verfahren, welches die Anwendung von Textmining (Dokumentclustering) und die manuelle Zuordnung von Clustern in eine externen Ontologie beinhaltet. Es wird argumentiert, dass die so gewonnene Taxonomie sowohl intuitiver als auch objektiver ist als bestehende, rein manuelle Ansätze. Sie eignet sich zudem gleichermaßen für manuelle als auch für maschinelle Klassifikation. Für letzteres wird der Naive Bayes'sche Textklassifikator motiviert und für ein klassifiziertes Korpus von knapp zwei Milliarden Wörtern evaluiert.
Balermpas, Panagiotis ; Michel, Yvonne ; Wagenblast, Jens ; Seitz, Oliver ; Weiß, Christian ; Rödel, Franz ; Rödel, Claus ; Fokas, Emmanouil
Bbackground: We aimed to investigate the prognostic value of tumour-infiltrating lymphocytes’ (TILs) expression in pretreatment specimens from patients with head and neck squamous cell carcinoma (HNSCC) treated with definitive chemoradiotherapy (CRT).
Methods: The prevalence of CD3+, CD8+, CD4+ and FOXP3+ TILs was assessed using immunohistochemistry in tumour tissue obtained from 101 patients before CRT and was correlated with clinicopathological characteristics as well as local failure-free- (LFFS), distant metastases free- (DMFS), progression-free (PFS) and overall survival (OS). Survival curves were measured using the Kaplan–Meier method, and differences in survival between the groups were estimated using the log-rank test. Prognostic effects of TIL subset density were determined using the Cox regression analysis.
Results: With a mean follow-up of 25 months (range, 2.3–63 months), OS at 2 years was 57.4% for the entire cohort. Patients with high immunohistochemical CD3 and CD8 expression had significantly increased OS (P=0.024 and P=0.028), PFS (P=0.044 and P=0.047) and DMFS (P=0.021 and P=0.026) but not LFFS (P=0.90 and P=0.104) in multivariate analysis that included predictive clinicopathologic factors, such as age, sex, T-stage, N-stage, tumour grading and localisation. Neither CD4 nor FOXP3 expression showed significance for the clinical outcome. The lower N-stage was associated with improved OS in the multivariate analysis (P=0.049).
Conclusion: The positive correlation between a high number of infiltrating CD3+ and CD8+ cells and clinical outcome indicates that TILs may have a beneficial role in HNSCC patients and may serve as a biomarker to identify patients likely to benefit from definitive CRT.
Stieß, Immanuel ; Weiß, Julika ; Dehmel, Christian ; Dunkelberg, Elisa ; Kunkis, Michael ; Schuldt-Baumgart, Nicola ; Vogelpohl, Thomas
Sebastian, Martin ; Papachristofilou, Alexandros ; Weiß, Christian ; Früh, Martin ; Cathomas, Richard ; Hilbe, Wolfgang ; Wehler, Thomas ; Rippin, Gerd ; Koch, Sven D. ; Scheel, Birgit ; Fotin-Mleczek, Mariola ; Heidenreich, Regina ; Kallen, Karl-Josef ; Gnad-Vogt, Ulrike ; Zippelius, Alfred
Background: Advanced non-small cell lung cancer (NSCLC) represents a significant unmet medical need. Despite advances with targeted therapies in a small subset of patients, fewer than 20% of patients survive for more than two years after diagnosis. Cancer vaccines are a promising therapeutic approach that offers the potential for durable responses through the engagement of the patient's own immune system. CV9202 is a self-adjuvanting mRNA vaccine that targets six antigens commonly expressed in NSCLC (NY ESO-1, MAGEC1, MAGEC2, 5 T4, survivin, and MUC1).
Methods/Design: The trial will assess the safety and tolerability of CV9202 vaccination combined with local radiation designed to enhance immune responses and will include patients with stage IV NSCLC and a response or stable disease after first-line chemotherapy or therapy with an EGFR tyrosine kinase inhibitor. Three histological and molecular subtypes of NSCLC will be investigated (squamous and non-squamous cell with/without EGFR mutations). All patients will receive two initial vaccinations with CV9202 prior to local radiotherapy (5 GY per day for four successive days) followed by further vaccinations until disease progression. The primary endpoint of the study is the number of patients experiencing Grade >3 treatment-related adverse events. Pharmacodynamic analyses include the assessment of immune responses to the antigens encoded by CV9202 and others not included in the panel (antigen spreading) and standard efficacy assessments.
Discussion: RNActive self-adjuvanted mRNA vaccines offer the potential for simultaneously inducing immune responses to a wide panel of antigens commonly expressed in tumors. This trial will assess the feasibility of this approach in combination with local radiotherapy in NSCLC patients.
Papachristofilou, Alexandros ; Hipp, Madeleine M. ; Klinkhardt, Ute ; Früh, Martin ; Sebastian, Martin ; Weiß, Christian ; Pless, Miklos ; Cathomas, Richard ; Hilbe, Wolfgang ; Pall, Georg ; Wehler, Thomas ; Alt, Jürgen ; Bischoff, Helge ; Geißler, Michael ; Griesinger, Frank ; Kallen, Karl-Josef ; Fotin-Mleczek, Mariola ; Schröder, Andreas ; Scheel, Birgit ; Muth, Anke ; Seibel, Tobias ; Stosnach, Claudia ; Doener, Fatma ; Hong, Henoch Sangjoon ; Koch, Sven D. ; Gnad-Vogt, Ulrike ; Zippelius, Alfred
Background: Preclinical studies demonstrate synergism between cancer immunotherapy and local radiation, enhancing anti-tumor effects and promoting immune responses. BI1361849 (CV9202) is an active cancer immunotherapeutic comprising protamine-formulated, sequence-optimized mRNA encoding six non-small cell lung cancer (NSCLC)-associated antigens (NY-ESO-1, MAGE-C1, MAGE-C2, survivin, 5T4, and MUC-1), intended to induce targeted immune responses.
Methods: We describe a phase Ib clinical trial evaluating treatment with BI1361849 combined with local radiation in 26 stage IV NSCLC patients with partial response (PR)/stable disease (SD) after standard first-line therapy. Patients were stratified into three strata (1: non-squamous NSCLC, no epidermal growth factor receptor (EGFR) mutation, PR/SD after ≥4 cycles of platinum- and pemetrexed-based treatment [n = 16]; 2: squamous NSCLC, PR/SD after ≥4 cycles of platinum-based and non-platinum compound treatment [n = 8]; 3: non-squamous NSCLC, EGFR mutation, PR/SD after ≥3 and ≤ 6 months EGFR-tyrosine kinase inhibitor (TKI) treatment [n = 2]). Patients received intradermal BI1361849, local radiation (4 × 5 Gy), then BI1361849 until disease progression. Strata 1 and 3 also had maintenance pemetrexed or continued EGFR-TKI therapy, respectively. The primary endpoint was evaluation of safety; secondary objectives included assessment of clinical efficacy (every 6 weeks during treatment) and of immune response (on Days 1 [baseline], 19 and 61).
Results: Study treatment was well tolerated; injection site reactions and flu-like symptoms were the most common BI1361849-related adverse events. Three patients had grade 3 BI1361849-related adverse events (fatigue, pyrexia); there was one grade 3 radiation-related event (dysphagia). In comparison to baseline, immunomonitoring revealed increased BI1361849 antigen-specific immune responses in the majority of patients (84%), whereby antigen-specific antibody levels were increased in 80% and functional T cells in 40% of patients, and involvement of multiple antigen specificities was evident in 52% of patients. One patient had a partial response in combination with pemetrexed maintenance, and 46.2% achieved stable disease as best overall response. Best overall response was SD in 57.7% for target lesions.
Conclusion: The results support further investigation of mRNA-based immunotherapy in NSCLC including combinations with immune checkpoint inhibitors.
Trial registration: ClinicalTrials.gov identifier: NCT01915524.
Nettekoven, Charlotte Maria ; Pieczewski, Julia Luise ; Jonas, Kristina ; Neuschmelting, Volker ; Grefkes, Christian Béla ; Goldbrunner, Roland ; Weiß Lucas, Carolin
Oral e-Poster Presentations - Booth 2: Neuro-Oncology C (Imaging&Monitoring), September 27, 2023, 1:00 PM - 2:30 PM
Background: Repetitive TMS (rTMS) can be used to non-invasively map cortical language areas. Commonly, frequencies of 5-10 Hz are used to induce speech errors. We could recently show that frequencies of 30 and 50 Hz are advantageous to achieve higher reliability. However, high-frequent rTMS applied over perisylvian regions still suffer from limited tolerability. Using short-train or paired-pulse TMS (pp-TMS) might offer a good alternative to rTMS to interfere with speech production. In this study, we, therefore, compared 30 Hz rTMS to pp-TMS aiming at improved language mapping.
Methods: 13 healthy, right-handed subjects (f=6, 25-41 years) were investigated using two different rTMS protocols: (i) 30 Hz rTMS and (ii) pp-TMS. TMS protocols were applied in a pseudo-randomized order during a picture naming task (picture-to-trigger interval: 0 ms) over cortical language areas. In a subsequent study, we compared pp-TMS also to short trains of three TMS pulses and repetitive paired pulse TMS. Language errors were post-hoc analysed by two independent raters and were assigned to eight different error categories. The level of pain was assessed on a subjective 0-10 numeric rating scale (NRS). Moreover, language error distribution was analysed using a cortical parcellation system.
Results: 30 Hz rTMS evoked a significantly higher number of errors than the pp-protocol, i.e., 18 ± 12 % vs. 10 ± 7 % (p<0.05). However, pp-TMS was significantly better tolerated with a mean NRS of 2.3 ± 1.6 vs. 3.4 ± 1.5 (p<0.05, FDR-corrected). Of note, pp-TMS could induce a higher number of anomias (15 ± 15 %) than repetitive TMS protocols (4 ± 7 %; p<0.1, FDR-corrected), but less dysarthria. The cortical distribution of errors differed between the two protocols. The results of train-of-three TMS were similar to the pp-TMS protocol.
Conclusions: Due to its better tolerability, pp-TMS might offer the possibility to stimulate regions which are particularly prone to direct facial / trigeminal nerve stimulation, e.g., the inferior frontal gyrus. Moreover, pp-TMS seems advantageous for mapping patients who are comparatively susceptible to rTMS side effects and with regard to safety in general.
Eine Natur jenseits normativer anthropozentrischer Konzepte machen die Mitbegründer und Leiter des Art Laboratory Berlin (ALB), die Kunsttheoretikerin und Kuratorin Regine Rapp und der Künstler und Kurator Christian de Lutz, im Gespräch mit Kunstforum International geltend. Die intensive Auseinandersetzung des ZfL-Forschungsschwerpunkts "Lebenswissen" mit kritischer Ökologie, mit Natur/Kultur-Konzepten und der Verbindung von Biologie und Kulturwissenschaften gab den Anlass, das Gespräch mit dem Art Laboratory Berlin fortzusetzen.