TY - JOUR A1 - Waszak, Sebastian M A1 - Northcott, Paul A A1 - Buchhalter, Ivo A1 - Robinson, Giles W A1 - Sutter, Christian A1 - Groebner, Susanne A1 - Grund, Kerstin B A1 - Brugières, Laurence A1 - Jones, David T W A1 - Pajtler, Kristian W A1 - Morrissy, A Sorana A1 - Kool, Marcel A1 - Sturm, Dominik A1 - Chavez, Lukas A1 - Ernst, Aurelie A1 - Brabetz, Sebastian A1 - Hain, Michael A1 - Zichner, Thomas A1 - Segura-Wang, Maia A1 - Weischenfeldt, Joachim A1 - Rausch, Tobias A1 - Mardin, Balca R A1 - Zhou, Xin A1 - Baciu, Cristina A1 - Lawerenz, Christian A1 - Chan, Jennifer A A1 - Varlet, Pascale A1 - Guerrini-Rousseau, Lea A1 - Fults, Daniel W A1 - Grajkowska, Wiesława A1 - Hauser, Peter A1 - Jabado, Nada A1 - Ra, Young-Shin A1 - Zitterbart, Karel A1 - Shringarpure, Suyash S A1 - De La Vega, Francisco M A1 - Bustamante, Carlos D A1 - Ng, Ho-Keung A1 - Perry, Arie A1 - MacDonald, Tobey J A1 - Driever, Pablo Hernáiz A1 - Bendel, Anne E A1 - Bowers, Daniel C A1 - McCowage, Geoffrey A1 - Chintagumpala, Murali M A1 - Cohn, Richard A1 - Hassall, Timothy A1 - Fleischhack, Gudrun A1 - Eggen, Tone A1 - Wesenberg, Finn A1 - Feychting, Maria A1 - Lannering, Birgitta A1 - Schüz, Joachim A1 - Johansen, Christoffer A1 - Andersen, Tina V A1 - Röösli, Martin A1 - Kuehni, Claudia E A1 - Grotzer, Michael A1 - Kjaerheim, Kristina A1 - Monoranu, Camelia M A1 - Archer, Tenley C A1 - Duke, Elizabeth A1 - Pomeroy, Scott L A1 - Shelagh, Redmond A1 - Frank, Stephan A1 - Sumerauer, David A1 - Scheurlen, Wolfram A1 - Ryzhova, Marina V A1 - Milde, Till A1 - Kratz, Christian P A1 - Samuel, David A1 - Zhang, Jinghui A1 - Solomon, David A A1 - Marra, Marco A1 - Eils, Roland A1 - Bartram, Claus R A1 - von Hoff, Katja A1 - Rutkowksi, Stefan A1 - Ramaswamy, Vijay A1 - Gilbertson, Richard J A1 - Korshunov, Andrey A1 - Taylor, Michael D A1 - Lichter, Peter A1 - Malkin, David A1 - Gajjar, Amar A1 - Korbel, Jan O A1 - Pfister, Stefan M T1 - Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort JF - The Lancet Oncology N2 - Background Medulloblastoma is associated with rare hereditary cancer predisposition syndromes; however, consensus medulloblastoma predisposition genes have not been defined and screening guidelines for genetic counselling and testing for paediatric patients are not available. We aimed to assess and define these genes to provide evidence for future screening guidelines. Methods In this international, multicentre study, we analysed patients with medulloblastoma from retrospective cohorts (International Cancer Genome Consortium [ICGC] PedBrain, Medulloblastoma Advanced Genomics International Consortium [MAGIC], and the CEFALO series) and from prospective cohorts from four clinical studies (SJMB03, SJMB12, SJYC07, and I-HIT-MED). Whole-genome sequences and exome sequences from blood and tumour samples were analysed for rare damaging germline mutations in cancer predisposition genes. DNA methylation profiling was done to determine consensus molecular subgroups: WNT (MBWNT), SHH (MBSHH), group 3 (MBGroup3), and group 4 (MBGroup4). Medulloblastoma predisposition genes were predicted on the basis of rare variant burden tests against controls without a cancer diagnosis from the Exome Aggregation Consortium (ExAC). Previously defined somatic mutational signatures were used to further classify medulloblastoma genomes into two groups, a clock-like group (signatures 1 and 5) and a homologous recombination repair deficiency-like group (signatures 3 and 8), and chromothripsis was investigated using previously established criteria. Progression-free survival and overall survival were modelled for patients with a genetic predisposition to medulloblastoma. Findings We included a total of 1022 patients with medulloblastoma from the retrospective cohorts (n=673) and the four prospective studies (n=349), from whom blood samples (n=1022) and tumour samples (n=800) were analysed for germline mutations in 110 cancer predisposition genes. In our rare variant burden analysis, we compared these against 53 105 sequenced controls from ExAC and identified APC, BRCA2, PALB2, PTCH1, SUFU, and TP53 as consensus medulloblastoma predisposition genes according to our rare variant burden analysis and estimated that germline mutations accounted for 6% of medulloblastoma diagnoses in the retrospective cohort. The prevalence of genetic predispositions differed between molecular subgroups in the retrospective cohort and was highest for patients in the MBSHH subgroup (20% in the retrospective cohort). These estimates were replicated in the prospective clinical cohort (germline mutations accounted for 5% of medulloblastoma diagnoses, with the highest prevalence [14%] in the MBSHH subgroup). Patients with germline APC mutations developed MBWNT and accounted for most (five [71%] of seven) cases of MBWNT that had no somatic CTNNB1 exon 3 mutations. Patients with germline mutations in SUFU and PTCH1 mostly developed infant MBSHH. Germline TP53 mutations presented only in childhood patients in the MBSHH subgroup and explained more than half (eight [57%] of 14) of all chromothripsis events in this subgroup. Germline mutations in PALB2 and BRCA2 were observed across the MBSHH, MBGroup3, and MBGroup4 molecular subgroups and were associated with mutational signatures typical of homologous recombination repair deficiency. In patients with a genetic predisposition to medulloblastoma, 5-year progression-free survival was 52% (95% CI 40–69) and 5-year overall survival was 65% (95% CI 52–81); these survival estimates differed significantly across patients with germline mutations in different medulloblastoma predisposition genes. Interpretation Genetic counselling and testing should be used as a standard-of-care procedure in patients with MBWNT and MBSHH because these patients have the highest prevalence of damaging germline mutations in known cancer predisposition genes. We propose criteria for routine genetic screening for patients with medulloblastoma based on clinical and molecular tumour characteristics. Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233425 VL - 19 ER - TY - JOUR A1 - Sanges, C. A1 - Scheuermann, C. A1 - Zahedi, R. P. A1 - Sickmann, A. A1 - Lamberti, A. A1 - Migliaccio, N. A1 - Baljuls, A. A1 - Marra, M. A1 - Zappavigna, S. A1 - Reinders, J. A1 - Rapp, U. A1 - Abbruzzese, A. A1 - Caraglia, M. A1 - Arcari, P. T1 - Raf kinases mediate the phosphorylation of eukaryotic translation elongation factor 1A and regulate its stability in eukaryotic cells JF - Cell Death and Disease N2 - We identified eukaryotic translation elongation factor 1A (eEF1A) Raf-mediated phosphorylation sites and defined their role in the regulation of eEF1A half-life and of apoptosis of human cancer cells. Mass spectrometry identified in vitro S21 and T88 as phosphorylation sites mediated by B-Raf but not C-Raf on eEF1A1 whereas S21 was phosphorylated on eEF1A2 by both B- and C-Raf. Interestingly, S21 belongs to the first eEF1A GTP/GDP-binding consensus sequence. Phosphorylation of S21 was strongly enhanced when both eEF1A isoforms were preincubated prior the assay with C-Raf, suggesting that the eEF1A isoforms can heterodimerize thus increasing the accessibility of S21 to the phosphate. Overexpression of eEF1A1 in COS 7 cells confirmed the phosphorylation of T88 also in vivo. Compared with wt, in COS 7 cells overexpressed phosphodeficient (A) and phospho-mimicking (D) mutants of eEF1A1 (S21A/D and T88A/D) and of eEF1A2 (S21A/D), resulted less stable and more rapidly proteasome degraded. Transfection of S21 A/D eEF1A mutants in H1355 cells increased apoptosis in comparison with the wt isoforms. It indicates that the blockage of S21 interferes with or even supports C-Raf induced apoptosis rather than cell survival. Raf-mediated regulation of this site could be a crucial mechanism involved in the functional switching of eEF1A between its role in protein biosynthesis and its participation in other cellular processes. KW - EF-1A KW - Raf kinases KW - signal transduction KW - apoptosis KW - ubiquitin KW - mass spectrometry Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-124149 VL - 3 IS - e276 ER - TY - JOUR A1 - Sanges, C. A1 - Scheuermann, C. A1 - Zahedi, R. P. A1 - Sickmann, A. A1 - Lamberti, A. A1 - Migliaccio, N. A1 - Baljuls, A. A1 - Marra, M. A1 - Zappavigna, S. A1 - Rapp, U. A1 - Abbruzzese, A. A1 - Caraglia, M. A1 - Arcari, P. T1 - Raf kinases mediate the phosphorylation of eukaryotic translation elongation factor 1A and regulate its stability in eukaryotic cells JF - Cell Death & Disease N2 - We identified eukaryotic translation elongation factor 1A (eEF1A) Raf-mediated phosphorylation sites and defined their role in the regulation of eEF1A half-life and of apoptosis of human cancer cells. Mass spectrometry identified in vitro S21 and T88 as phosphorylation sites mediated by B-Raf but not C-Raf on eEF1A1 whereas S21 was phosphorylated on eEF1A2 by both B-and C-Raf. Interestingly, S21 belongs to the first eEF1A GTP/GDP-binding consensus sequence. Phosphorylation of S21 was strongly enhanced when both eEF1A isoforms were preincubated prior the assay with C-Raf, suggesting that the eEF1A isoforms can heterodimerize thus increasing the accessibility of S21 to the phosphate. Overexpression of eEF1A1 in COS 7 cells confirmed the phosphorylation of T88 also in vivo. Compared with wt, in COS 7 cells overexpressed phosphodeficient (A) and phospho-mimicking (D) mutants of eEF1A1 (S21A/D and T88A/D) and of eEF1A2 (S21A/D), resulted less stable and more rapidly proteasome degraded. Transfection of S21 A/D eEF1A mutants in H1355 cells increased apoptosis in comparison with the wt isoforms. It indicates that the blockage of S21 interferes with or even supports C-Raf induced apoptosis rather than cell survival. Raf-mediated regulation of this site could be a crucial mechanism involved in the functional switching of eEF1A between its role in protein biosynthesis and its participation in other cellular processes. KW - signal transduction KW - mass spectrometry KW - elongation KW - protein docking KW - factor EEF1A2 KW - cancer-cells KW - lung cancer KW - EF-1A KW - Raf kinases KW - aminoacyl-transfer-RNA KW - tyrosine phosphorylation KW - factor 1-alpha KW - nucleotide exchange KW - polyarcylamide gels KW - chain KW - apoptosis KW - ubiquitin Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134673 VL - 3 IS - e276 ER - TY - JOUR A1 - Viljur, Mari‐Liis A1 - Abella, Scott R. A1 - Adámek, Martin A1 - Alencar, Janderson Batista Rodrigues A1 - Barber, Nicholas A. A1 - Beudert, Burkhard A1 - Burkle, Laura A. A1 - Cagnolo, Luciano A1 - Campos, Brent R. A1 - Chao, Anne A1 - Chergui, Brahim A1 - Choi, Chang‐Yong A1 - Cleary, Daniel F. R. A1 - Davis, Thomas Seth A1 - Dechnik‐Vázquez, Yanus A. A1 - Downing, William M. A1 - Fuentes‐Ramirez, Andrés A1 - Gandhi, Kamal J. K. A1 - Gehring, Catherine A1 - Georgiev, Kostadin B. A1 - Gimbutas, Mark A1 - Gongalsky, Konstantin B. A1 - Gorbunova, Anastasiya Y. A1 - Greenberg, Cathryn H. A1 - Hylander, Kristoffer A1 - Jules, Erik S. A1 - Korobushkin, Daniil I. A1 - Köster, Kajar A1 - Kurth, Valerie A1 - Lanham, Joseph Drew A1 - Lazarina, Maria A1 - Leverkus, Alexandro B. A1 - Lindenmayer, David A1 - Marra, Daniel Magnabosco A1 - Martín‐Pinto, Pablo A1 - Meave, Jorge A. A1 - Moretti, Marco A1 - Nam, Hyun‐Young A1 - Obrist, Martin K. A1 - Petanidou, Theodora A1 - Pons, Pere A1 - Potts, Simon G. A1 - Rapoport, Irina B. A1 - Rhoades, Paul R. A1 - Richter, Clark A1 - Saifutdinov, Ruslan A. A1 - Sanders, Nathan J. A1 - Santos, Xavier A1 - Steel, Zachary A1 - Tavella, Julia A1 - Wendenburg, Clara A1 - Wermelinger, Beat A1 - Zaitsev, Andrey S. A1 - Thorn, Simon T1 - The effect of natural disturbances on forest biodiversity: an ecological synthesis JF - Biological Reviews N2 - Disturbances alter biodiversity via their specific characteristics, including severity and extent in the landscape, which act at different temporal and spatial scales. Biodiversity response to disturbance also depends on the community characteristics and habitat requirements of species. Untangling the mechanistic interplay of these factors has guided disturbance ecology for decades, generating mixed scientific evidence of biodiversity responses to disturbance. Understanding the impact of natural disturbances on biodiversity is increasingly important due to human‐induced changes in natural disturbance regimes. In many areas, major natural forest disturbances, such as wildfires, windstorms, and insect outbreaks, are becoming more frequent, intense, severe, and widespread due to climate change and land‐use change. Conversely, the suppression of natural disturbances threatens disturbance‐dependent biota. Using a meta‐analytic approach, we analysed a global data set (with most sampling concentrated in temperate and boreal secondary forests) of species assemblages of 26 taxonomic groups, including plants, animals, and fungi collected from forests affected by wildfires, windstorms, and insect outbreaks. The overall effect of natural disturbances on α‐diversity did not differ significantly from zero, but some taxonomic groups responded positively to disturbance, while others tended to respond negatively. Disturbance was beneficial for taxonomic groups preferring conditions associated with open canopies (e.g. hymenopterans and hoverflies), whereas ground‐dwelling groups and/or groups typically associated with shady conditions (e.g. epigeic lichens and mycorrhizal fungi) were more likely to be negatively impacted by disturbance. Across all taxonomic groups, the highest α‐diversity in disturbed forest patches occurred under moderate disturbance severity, i.e. with approximately 55% of trees killed by disturbance. We further extended our meta‐analysis by applying a unified diversity concept based on Hill numbers to estimate α‐diversity changes in different taxonomic groups across a gradient of disturbance severity measured at the stand scale and incorporating other disturbance features. We found that disturbance severity negatively affected diversity for Hill number q = 0 but not for q = 1 and q = 2, indicating that diversity–disturbance relationships are shaped by species relative abundances. Our synthesis of α‐diversity was extended by a synthesis of disturbance‐induced change in species assemblages, and revealed that disturbance changes the β‐diversity of multiple taxonomic groups, including some groups that were not affected at the α‐diversity level (birds and woody plants). Finally, we used mixed rarefaction/extrapolation to estimate biodiversity change as a function of the proportion of forests that were disturbed, i.e. the disturbance extent measured at the landscape scale. The comparison of intact and naturally disturbed forests revealed that both types of forests provide habitat for unique species assemblages, whereas species diversity in the mixture of disturbed and undisturbed forests peaked at intermediate values of disturbance extent in the simulated landscape. Hence, the relationship between α‐diversity and disturbance severity in disturbed forest stands was strikingly similar to the relationship between species richness and disturbance extent in a landscape consisting of both disturbed and undisturbed forest habitats. This result suggests that both moderate disturbance severity and moderate disturbance extent support the highest levels of biodiversity in contemporary forest landscapes. KW - natural disturbance KW - diversity–disturbance relationship KW - disturbance severity KW - disturbance extent KW - intermediate disturbance hypothesis KW - forest communities KW - α‐diversity KW - β‐diversity Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-287168 VL - 97 IS - 5 SP - 1930 EP - 1947 ER -