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 - TY - JOUR A1 - Nemes, Karolina A1 - Johann, Pascal D. A1 - Steinbügl, Mona A1 - Gruhle, Miriam A1 - Bens, Susanne A1 - Kachanov, Denis A1 - Teleshova, Margarita A1 - Hauser, Peter A1 - Simon, Thorsten A1 - Tippelt, Stephan A1 - Eberl, Wolfgang A1 - Chada, Martin A1 - Lopez, Vicente Santa-Maria A1 - Grigull, Lorenz A1 - Hernáiz-Driever, Pablo A1 - Eyrich, Matthias A1 - Pears, Jane A1 - Milde, Till A1 - Reinhard, Harald A1 - Leipold, Alfred A1 - van de Wetering, Marianne A1 - Gil-da-Costa, Maria João A1 - Ebetsberger-Dachs, Georg A1 - Kerl, Kornelius A1 - Lemmer, Andreas A1 - Boztug, Heidrun A1 - Furtwängler, Rhoikos A1 - Kordes, Uwe A1 - Vokuhl, Christian A1 - Hasselblatt, Martin A1 - Bison, Brigitte A1 - Kröncke, Thomas A1 - Melchior, Patrick A1 - Timmermann, Beate A1 - Gerss, Joachim A1 - Siebert, Reiner A1 - Frühwald, Michael C. T1 - Infants and newborns with atypical teratoid rhabdoid tumors (ATRT) and extracranial malignant rhabdoid tumors (eMRT) in the EU-RHAB registry: a unique and challenging population JF - Cancers N2 - Introduction: Malignant rhabdoid tumors (MRT) predominantly affect infants and young children. Patients below six months of age represent a particularly therapeutically challenging group. Toxicity to developing organ sites limits intensity of treatment. Information on prognostic factors, genetics, toxicity of treatment and long-term outcomes is sparse. Methods: Clinical, genetic, and treatment data of 100 patients (aged below 6 months at diagnosis) from 13 European countries were analyzed (2005–2020). Tumors and matching blood samples were examined for SMARCB1 mutations using FISH, MLPA and Sanger sequencing. DNA methylation subgroups (ATRT-TYR, ATRT-SHH, and ATRT-MYC) were determined using 450 k / 850 k-profiling. Results: A total of 45 patients presented with ATRT, 29 with extracranial, extrarenal (eMRT) and 9 with renal rhabdoid tumors (RTK). Seventeen patients demonstrated synchronous tumors (SYN). Metastases (M+) were present in 27% (26/97) at diagnosis. A germline mutation (GLM) was detected in 55% (47/86). DNA methylation subgrouping was available in 50% (31 / 62) with ATRT or SYN; for eMRT, methylation-based subgrouping was not performed. The 5-year overall (OS) and event free survival (EFS) rates were 23.5 ± 4.6% and 19 ± 4.1%, respectively. Male sex (11 ± 5% vs. 35.8 ± 7.4%), M+ stage (6.1 ± 5.4% vs. 36.2 ± 7.4%), presence of SYN (7.1 ± 6.9% vs. 26.6 ± 5.3%) and GLM (7.7 ± 4.2% vs. 45.7 ± 8.6%) were significant prognostic factors for 5-year OS. Molecular subgrouping and survival analyses confirm a previously described survival advantage for ATRT-TYR. In an adjusted multivariate model, clinical factors that favorably influence the prognosis were female sex, localized stage, absence of a GLM and maintenance therapy. Conclusions: In this cohort of homogenously treated infants with MRT, significant predictors of outcome were sex, M-stage, GLM and maintenance therapy. We confirm the need to stratify which patient groups benefit from multimodal treatment, and which need novel therapeutic strategies. Biomarker-driven tailored trials may be a key option. KW - atypical teratoid rhabdoid tumors KW - extracranial malignant rhabdoid tumor KW - RTPS1 KW - RTPS2 KW - germline mutation KW - EU-RHAB registry Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-270730 SN - 2072-6694 VL - 14 IS - 9 ER -