TY - JOUR A1 - Triphan, Simon M. F. A1 - Jobst, Bertram J. A1 - Anjorin, Angela A1 - Sedlaczek, Oliver A1 - Wolf, Ursula A1 - Terekhov, Maxim A1 - Hoffmann, Christian A1 - Ley, Sebastian A1 - Düber, Christoph A1 - Biederer, Jürgen A1 - Kauczor, Hans-Ulrich A1 - Jakob, Peter M. A1 - Wielpütz, Mark O. T1 - Reproducibility and comparison of oxygen-enhanced T\(_1\) quantification in COPD and asthma patients JF - PLoS ONE N2 - T\(_1\) maps have been shown to yield useful diagnostic information on lung function in patients with chronic obstructive pulmonary disease (COPD) and asthma, both for native T\(_1\) and ΔT\(_1\), the relative reduction while breathing pure oxygen. As parameter quantification is particularly interesting for longitudinal studies, the purpose of this work was both to examine the reproducibility of lung T\(_1\) mapping and to compare T\(_1\) found in COPD and asthma patients using IRSnapShotFLASH embedded in a full MRI protocol. 12 asthma and 12 COPD patients (site 1) and further 15 COPD patients (site 2) were examined on two consecutive days. In each patient, T\(_1\) maps were acquired in 8 single breath-hold slices, breathing first room air, then pure oxygen. Maps were partitioned into 12 regions each to calculate average values. In asthma patients, the average T\(_{1,RA}\) = 1206ms (room air) was reduced to T\(_{1,O2}\) = 1141ms under oxygen conditions (ΔT\(_1\) = 5.3%, p < 5⋅10\(^{−4})\), while in COPD patients both native T\(_{1,RA}\) = 1125ms was significantly shorter (p < 10\(^{−3})\) and the relative reduction to T\(_{1,O2}\) = 1081ms on average ΔT\(_1\) = 4.2%(p < 10\(^{−5}\)). On the second day, with T\(_{1,RA}\) = 1186ms in asthma and T\(_{1,RA}\) = 1097ms in COPD, observed values were slightly shorter on average in all patient groups. ΔT\(_1\) reduction was the least repeatable parameter and varied from day to day by up to 23% in individual asthma and 30% in COPD patients. While for both patient groups T\(_1\) was below the values reported for healthy subjects, the T\(_1\) and ΔT\(_1\) found in asthmatics lies between that of the COPD group and reported values for healthy subjects, suggesting a higher blood volume fraction and better ventilation. However, it could be demonstrated that lung T\(_1\) quantification is subject to notable inter-examination variability, which here can be attributed both to remaining contrast agent from the previous day and the increased dependency of lung T\(_1\) on perfusion and thus current lung state. KW - Medicine KW - Chronic obstrusive pulmonary disease KW - Asthma KW - Oxygen KW - Magnetic resonance imaging KW - Breathing KW - Pulmonary imaging KW - Protons KW - Diagnostic medicine Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-171833 VL - 12 IS - 2 ER - TY - JOUR A1 - Meder, Lydia A1 - König, Katharina A1 - Ozretić, Luka A1 - Schultheis, Anne M. A1 - Ueckeroth, Frank A1 - Ade, Carsten P. A1 - Albus, Kerstin A1 - Boehm, Diana A1 - Rommerscheidt-Fuss, Ursula A1 - Florin, Alexandra A1 - Buhl, Theresa A1 - Hartmann, Wolfgang A1 - Wolf, Jürgen A1 - Merkelbach-Bruse, Sabine A1 - Eilers, Martin A1 - Perner, Sven A1 - Heukamp, Lukas C. A1 - Buettner, Reinhard T1 - NOTCH, ASCL1, p53 and RB alterations define an alternative pathway driving neuroendocrine and small cell lung carcinomas JF - International Journal of Cancer N2 - Small cell lung cancers (SCLCs) and extrapulmonary small cell cancers (SCCs) are very aggressive tumors arising de novo as primary small cell cancer with characteristic genetic lesions in RB1 and TP53. Based on murine models, neuroendocrine stem cells of the terminal bronchioli have been postulated as the cellular origin of primary SCLC. However, both in lung and many other organs, combined small cell/non-small cell tumors and secondary transitions from non-small cell carcinomas upon cancer therapy to neuroendocrine and small cell tumors occur. We define features of "small cell-ness" based on neuroendocrine markers, characteristic RB1 and TP53 mutations and small cell morphology. Furthermore, here we identify a pathway driving the pathogenesis of secondary SCLC involving inactivating NOTCH mutations, activation of the NOTCH target ASCL1 and canonical WNT-signaling in the context of mutual bi-allelic RB1 and TP53 lesions. Additionaly, we explored ASCL1 dependent RB inactivation by phosphorylation, which is reversible by CDK5 inhibition. We experimentally verify the NOTCH-ASCL1-RB-p53 signaling axis in vitro and validate its activation by genetic alterations in vivo. We analyzed clinical tumor samples including SCLC, SCC and pulmonary large cell neuroendocrine carcinomas and adenocarcinomas using amplicon-based Next Generation Sequencing, immunohistochemistry and fluorescence in situ hybridization. In conclusion, we identified a novel pathway underlying rare secondary SCLC which may drive small cell carcinomas in organs other than lung, as well. KW - lung cancer KW - small cell lung cancer KW - achaete-scute homolog 1 KW - neurogenic locus notch homolog KW - retinoblastoma protein Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-190853 VL - 138 IS - 4 ER - TY - JOUR A1 - Gröbner, Susanne N. A1 - Worst, Barbara C. A1 - Weischenfeldt, Joachim A1 - Buchhalter, Ivo A1 - Kleinheinz, Kortine A1 - Rudneva, Vasilisa A. A1 - Johann, Pascal D. A1 - Balasubramanian, Gnana Prakash A1 - Segura-Wang, Maia A1 - Brabetz, Sebastian A1 - Bender, Sebastian A1 - Hutter, Barbara A1 - Sturm, Dominik A1 - Pfaff, Elke A1 - Hübschmann, Daniel A1 - Zipprich, Gideon A1 - Heinold, Michael A1 - Eils, Jürgen A1 - Lawerenz, Christian A1 - Erkek, Serap A1 - Lambo, Sander A1 - Waszak, Sebastian A1 - Blattmann, Claudia A1 - Borkhardt, Arndt A1 - Kuhlen, Michaela A1 - Eggert, Angelika A1 - Fulda, Simone A1 - Gessler, Manfred A1 - Wegert, Jenny A1 - Kappler, Roland A1 - Baumhoer, Daniel A1 - Stefan, Burdach A1 - Kirschner-Schwabe, Renate A1 - Kontny, Udo A1 - Kulozik, Andreas E. A1 - Lohmann, Dietmar A1 - Hettmer, Simone A1 - Eckert, Cornelia A1 - Bielack, Stefan A1 - Nathrath, Michaela A1 - Niemeyer, Charlotte A1 - Richter, Günther H. A1 - Schulte, Johannes A1 - Siebert, Reiner A1 - Westermann, Frank A1 - Molenaar, Jan J. A1 - Vassal, Gilles A1 - Witt, Hendrik A1 - Burkhardt, Birgit A1 - Kratz, Christian P. A1 - Witt, Olaf A1 - van Tilburg, Cornelis M. A1 - Kramm, Christof M. A1 - Fleischhack, Gudrun A1 - Dirksen, Uta A1 - Rutkowski, Stefan A1 - Frühwald, Michael A1 - Hoff, Katja von A1 - Wolf, Stephan A1 - Klingebeil, Thomas A1 - Koscielniak, Ewa A1 - Landgraf, Pablo A1 - Koster, Jan A1 - Resnick, Adam C. A1 - Zhang, Jinghui A1 - Liu, Yanling A1 - Zhou, Xin A1 - Waanders, Angela J. A1 - Zwijnenburg, Danny A. A1 - Raman, Pichai A1 - Brors, Benedikt A1 - Weber, Ursula D. A1 - Northcott, Paul A. A1 - Pajtler, Kristian W. A1 - Kool, Marcel A1 - Piro, Rosario M. A1 - Korbel, Jan O. A1 - Schlesner, Matthias A1 - Eils, Roland A1 - Jones, David T. W. A1 - Lichter, Peter A1 - Chavez, Lukas A1 - Zapatka, Marc A1 - Pfister, Stefan M. T1 - The landscape of genomic alterations across childhood cancers JF - Nature N2 - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials. KW - cancer genomics KW - oncogenesis KW - paediatric cancer KW - predictive markers KW - translational research Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229579 VL - 555 ER -