45 results on '"Mardin, Balca R"'
Search Results
2. Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort.
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Waszak, Sebastian M, Northcott, Paul A, Buchhalter, Ivo, Robinson, Giles W, Sutter, Christian, Groebner, Susanne, Grund, Kerstin B, Brugières, Laurence, Jones, David TW, Pajtler, Kristian W, Morrissy, A Sorana, Kool, Marcel, Sturm, Dominik, Chavez, Lukas, Ernst, Aurelie, Brabetz, Sebastian, Hain, Michael, Zichner, Thomas, Segura-Wang, Maia, Weischenfeldt, Joachim, Rausch, Tobias, Mardin, Balca R, Zhou, Xin, Baciu, Cristina, Lawerenz, Christian, Chan, Jennifer A, Varlet, Pascale, Guerrini-Rousseau, Lea, Fults, Daniel W, Grajkowska, Wiesława, Hauser, Peter, Jabado, Nada, Ra, Young-Shin, Zitterbart, Karel, Shringarpure, Suyash S, De La Vega, Francisco M, Bustamante, Carlos D, Ng, Ho-Keung, Perry, Arie, MacDonald, Tobey J, Hernáiz Driever, Pablo, Bendel, Anne E, Bowers, Daniel C, McCowage, Geoffrey, Chintagumpala, Murali M, Cohn, Richard, Hassall, Timothy, Fleischhack, Gudrun, Eggen, Tone, Wesenberg, Finn, Feychting, Maria, Lannering, Birgitta, Schüz, Joachim, Johansen, Christoffer, Andersen, Tina V, Röösli, Martin, Kuehni, Claudia E, Grotzer, Michael, Kjaerheim, Kristina, Monoranu, Camelia M, Archer, Tenley C, Duke, Elizabeth, Pomeroy, Scott L, Shelagh, Redmond, Frank, Stephan, Sumerauer, David, Scheurlen, Wolfram, Ryzhova, Marina V, Milde, Till, Kratz, Christian P, Samuel, David, Zhang, Jinghui, Solomon, David A, Marra, Marco, Eils, Roland, Bartram, Claus R, von Hoff, Katja, Rutkowski, Stefan, Ramaswamy, Vijay, Gilbertson, Richard J, Korshunov, Andrey, Taylor, Michael D, Lichter, Peter, Malkin, David, Gajjar, Amar, Korbel, Jan O, and Pfister, Stefan M
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Humans ,Medulloblastoma ,Cerebellar Neoplasms ,Genetic Predisposition to Disease ,Risk Factors ,Retrospective Studies ,Prospective Studies ,Reproducibility of Results ,Predictive Value of Tests ,Gene Expression Profiling ,Pedigree ,DNA Mutational Analysis ,DNA Methylation ,Heredity ,Phenotype ,Germ-Line Mutation ,Models ,Genetic ,Adolescent ,Adult ,Child ,Child ,Preschool ,Infant ,Female ,Male ,Young Adult ,Genetic Testing ,Transcriptome ,Biomarkers ,Tumor ,Progression-Free Survival ,Exome Sequencing ,Brain Cancer ,Genetics ,Cancer ,Human Genome ,Pediatric ,Pediatric Cancer ,Rare Diseases ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
BackgroundMedulloblastoma 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.MethodsIn 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.FindingsWe 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.InterpretationGenetic 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.FundingGerman Cancer Aid; German Federal Ministry of Education and Research; German Childhood Cancer Foundation (Deutsche Kinderkrebsstiftung); European Research Council; National Institutes of Health; Canadian Institutes for Health Research; German Cancer Research Center; St Jude Comprehensive Cancer Center; American Lebanese Syrian Associated Charities; Swiss National Science Foundation; European Molecular Biology Organization; Cancer Research UK; Hertie Foundation; Alexander and Margaret Stewart Trust; V Foundation for Cancer Research; Sontag Foundation; Musicians Against Childhood Cancer; BC Cancer Foundation; Swedish Council for Health, Working Life and Welfare; Swedish Research Council; Swedish Cancer Society; the Swedish Radiation Protection Authority; Danish Strategic Research Council; Swiss Federal Office of Public Health; Swiss Research Foundation on Mobile Communication; Masaryk University; Ministry of Health of the Czech Republic; Research Council of Norway; Genome Canada; Genome BC; Terry Fox Research Institute; Ontario Institute for Cancer Research; Pediatric Oncology Group of Ontario; The Family of Kathleen Lorette and the Clark H Smith Brain Tumour Centre; Montreal Children's Hospital Foundation; The Hospital for Sick Children: Sonia and Arthur Labatt Brain Tumour Research Centre, Chief of Research Fund, Cancer Genetics Program, Garron Family Cancer Centre, MDT's Garron Family Endowment; BC Childhood Cancer Parents Association; Cure Search Foundation; Pediatric Brain Tumor Foundation; Brainchild; and the Government of Ontario.
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- 2018
3. Systems approaches identify the consequences of monosomy in somatic human cells
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Chunduri, Narendra Kumar, Menges, Paul, Zhang, Xiaoxiao, Wieland, Angela, Gotsmann, Vincent Leon, Mardin, Balca R., Buccitelli, Christopher, Korbel, Jan O., Willmund, Felix, Kschischo, Maik, Raeschle, Markus, and Storchova, Zuzana
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- 2021
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4. Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
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Benfatto, Salvatore, Serçin, Özdemirhan, Dejure, Francesca R., Abdollahi, Amir, Zenke, Frank T., and Mardin, Balca R.
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- 2021
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5. Single-cell analysis of structural variations and complex rearrangements with tri-channel processing
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Sanders, Ashley D., Meiers, Sascha, Ghareghani, Maryam, Porubsky, David, Jeong, Hyobin, van Vliet, M. Alexandra C. C., Rausch, Tobias, Richter-Pechańska, Paulina, Kunz, Joachim B., Jenni, Silvia, Bolognini, Davide, Longo, Gabriel M. C., Raeder, Benjamin, Kinanen, Venla, Zimmermann, Jürgen, Benes, Vladimir, Schrappe, Martin, Mardin, Balca R., Kulozik, Andreas E., Bornhauser, Beat, Bourquin, Jean-Pierre, Marschall, Tobias, and Korbel, Jan O.
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- 2020
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6. The interplay of DNA repair context with target sequence predictably biasses Cas9-generated mutations
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Pallaseni, Ananth, primary, Peets, Elin Madli, additional, Girling, Gareth, additional, Crepaldi, Luca, additional, Kuzmin, Ivan, additional, Raudvere, Uku, additional, Peterson, Hedi, additional, Serçin, Özdemirhan, additional, Mardin, Balca R., additional, Kosicki, Michael, additional, and Parts, Leopold, additional
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- 2023
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7. A scalable CRISPR/Cas9-based fluorescent reporter assay to study DNA double-strand break repair choice
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Roidos, Paris, Sungalee, Stephanie, Benfatto, Salvatore, Serçin, Özdemirhan, Stütz, Adrian M., Abdollahi, Amir, Mauer, Jan, Zenke, Frank T., Korbel, Jan O., and Mardin, Balca R.
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- 2020
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8. Erratum To: A solid‐phase transfection platform for arrayed CRISPR screens
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Serçin, Özdemirhan, Reither, Sabine, Roidos, Paris, Ballin, Nadja, Palikyras, Spyridon, Baginska, Anna, Rein, Katrin, Llamazares, Maria, Halavatyi, Aliaksandr, Winter, Hauke, Muley, Thomas, Jurkowska, Renata Z, Abdollahi, Amir, Zenke, Frank T, Neumann, Beate, and Mardin, Balca R
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- 2020
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9. A solid‐phase transfection platform for arrayed CRISPR screens
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Serçin, Özdemirhan, Reither, Sabine, Roidos, Paris, Ballin, Nadja, Palikyras, Spyridon, Baginska, Anna, Rein, Katrin, Llamazares, Maria, Halavatyi, Aliaksandr, Winter, Hauke, Muley, Thomas, Jurkowska, Renata Z, Abdollahi, Amir, Zenke, Frank T, Neumann, Beate, and Mardin, Balca R
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- 2019
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10. Separate to operate: control of centrosome positioning and separation
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Agircan, Fikret G., Schiebel, Elmar, and Mardin, Balca R.
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- 2014
11. Somatic structural variant formation is guided by and influences genome architecture
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Sidiropoulos, Nikos, Mardin, Balca R, Rodríguez-González, F. Germán, Bochkov, Ivan D., Garg, Shilpa, Stuetz, Adrian M, Korbel, Jan O., Aiden, Erez Lieberman, Weischenfeldt, Joachim, Sidiropoulos, Nikos, Mardin, Balca R, Rodríguez-González, F. Germán, Bochkov, Ivan D., Garg, Shilpa, Stuetz, Adrian M, Korbel, Jan O., Aiden, Erez Lieberman, and Weischenfeldt, Joachim
- Abstract
The occurrence and formation of genomic structural variants (SV) is known to be influenced by the 3D chromatin architecture, but the extent and magnitude have been challenging to study. Here, we apply Hi-C to study chromatin organization before and after induction of chromothripsis in human cells. We use Hi-C to manually assemble the derivative chromosomes following the occurrence of massive complex rearrangements, which allowed us to study the sources of SV formation and their consequences on gene regulation. We observe an action-reaction interplay whereby the 3D chromatin architecture directly impacts the location and formation of SVs. In turn, the SVs reshape the chromatin organization to alter the local topologies, replication timing, and gene regulation in cis We show that SVs have a strong tendency to occur between similar chromatin compartments and replication timing regions. Moreover, we find that SVs frequently occur at 3D loop-anchors, that SVs can cause a switch in chromatin compartments and replication timing, and that this is a major source of SV-mediated effects on nearby gene expression changes. Finally, we provide evidence for a general mechanistic bias of the 3D chromatin on SV occurrence using data from more than 2,700 patient-derived cancer genomes.
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- 2022
12. High-resolution transcriptomic and epigenetic profiling identifies novel regulators of COPD phenotypes in human lung fibroblasts
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Schwartz, Uwe, primary, Prada, Maria Llamazares, additional, Pohl, Stephanie T., additional, Richter, Mandy, additional, Tamas, Raluca, additional, Schuler, Michael, additional, Keller, Corinna, additional, Mijosek, Vedrana, additional, Muley, Thomas, additional, Schneider, Marc A., additional, Quast, Karsten, additional, Hey, Joschka, additional, Heußel, Claus P., additional, Warth, Arne, additional, Winter, Hauke, additional, Serçin, Özdemirhan, additional, Karmouty-Quintana, Harry, additional, Herth, Felix, additional, Koch, Ina, additional, Petrosino, Giuseppe, additional, Mardin, Balca R., additional, Weichenhan, Dieter, additional, Jurkowski, Tomasz P., additional, Imbusch, Charles D., additional, Brors, Benedikt, additional, Benes, Vladimir, additional, Jung, Brigit, additional, Wyatt, David, additional, Stahl, Heiko, additional, Plass, Christoph, additional, and Jurkowska, Renata Z., additional
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- 2022
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13. Somatic structural variant formation is guided by and influences genome architecture
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Sidiropoulos, Nikos, primary, Mardin, Balca R., additional, Rodríguez-González, F. Germán, additional, Bochkov, Ivan D., additional, Garg, Shilpa, additional, Stütz, Adrian M., additional, Korbel, Jan O., additional, Aiden, Erez Lieberman, additional, and Weischenfeldt, Joachim, additional
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- 2022
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14. Additional file 5 of Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
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Benfatto, Salvatore, Serçin, Özdemirhan, Dejure, Francesca R., Abdollahi, Amir, Zenke, Frank T., and Mardin, Balca R.
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Data_FILES - Abstract
Additional file 5.
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- 2021
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15. A cell‐based model system links chromothripsis with hyperploidy
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Mardin, Balca R, Drainas, Alexandros P, Waszak, Sebastian M, Weischenfeldt, Joachim, Isokane, Mayumi, Stütz, Adrian M, Raeder, Benjamin, Efthymiopoulos, Theocharis, Buccitelli, Christopher, Segura‐Wang, Maia, Northcott, Paul, Pfister, Stefan M, Lichter, Peter, Ellenberg, Jan, and Korbel, Jan O
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- 2015
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16. Somatic structural variant formation is guided by and influences genome architecture
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Sidiropoulos, Nikos, primary, Mardin, Balca R., additional, Rodríguez-González, F. Germán, additional, Garg, Shilpa, additional, Stütz, Adrian M., additional, Korbel, Jan O., additional, Aiden, Erez Lieberman, additional, and Weischenfeldt, Joachim, additional
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- 2021
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17. A solid‐phase transfection platform for arrayed CRISPR screens [Corrigendum]
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Serçin, Özdemirhan, Reither, Sabine, Roidos, Paris, Ballin, Nadja, Palikyras, Spyridon, Baginska, Anna, Rein, Katrin, Llamazares, Maria, Halavatyi, Aliaksandr, Winter, Hauke, Muley, Thomas, Jurkowska, Renata Z., Abdollahi, Amir, Zenke, Frank T., Neumann, Beate, and Mardin, Balca R.
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animal structures - Abstract
Since the publication of this study, it has come to our attention that a citation to the study by Bulkescher et al (2017) was omitted from the Introduction. The following sentence should have been included in the introduction: “A previously reported solid‐phase reverse transfection method for proteins (Bulkescher et al , 2017) was used for the delivery of RNPs for three endogenous genes suggesting the potential of solid‐phase reverse transfection for CRISPR/Cas9‐based gene editing, despite its low efficiency”.\ud\udWe apologise for any inconvenience this omission may have caused.
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- 2020
18. Systems approaches identify the consequences of monosomy in somatic human cells
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Chunduri, Narendra Kumar, primary, Menges, Paul, additional, Gotsmann, Vincent Leon, additional, Zhang, Xiaoxiao, additional, Mardin, Balca R., additional, Buccitelli, Christopher, additional, Korbel, Jan O., additional, Willmund, Felix, additional, Kschischo, Maik, additional, Raeschle, Markus, additional, and Storchova, Zuzana, additional
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- 2021
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19. Exploiting the metabolic dependencies of the broad amino acid transporter SLC6A14
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Dejure, Francesca R., primary, Butzer, Joachim, additional, Lindemann, Ralph K., additional, and Mardin, Balca R., additional
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- 2020
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20. Genome-wide Screens Implicate Loss of Cullin Ring Ligase 3 in Persistent Proliferation and Genome Instability in TP53-Deficient Cells
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Drainas, Alexandros P., primary, Lambuta, Ruxandra A., additional, Ivanova, Irina, additional, Serçin, Özdemirhan, additional, Sarropoulos, Ioannis, additional, Smith, Mike L., additional, Efthymiopoulos, Theocharis, additional, Raeder, Benjamin, additional, Stütz, Adrian M., additional, Waszak, Sebastian M., additional, Mardin, Balca R., additional, and Korbel, Jan O., additional
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- 2020
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21. Single-cell analysis of structural variations and complex rearrangements with tri-channel processing
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Sanders, Ashley D., primary, Meiers, Sascha, additional, Ghareghani, Maryam, additional, Porubsky, David, additional, Jeong, Hyobin, additional, van Vliet, M. Alexandra C. C., additional, Rausch, Tobias, additional, Richter-Pechańska, Paulina, additional, Kunz, Joachim B., additional, Jenni, Silvia, additional, Bolognini, Davide, additional, Longo, Gabriel M. C., additional, Raeder, Benjamin, additional, Kinanen, Venla, additional, Zimmermann, Jürgen, additional, Benes, Vladimir, additional, Schrappe, Martin, additional, Mardin, Balca R., additional, Kulozik, Andreas E., additional, Bornhauser, Beat, additional, Bourquin, Jean-Pierre, additional, Marschall, Tobias, additional, and Korbel, Jan O., additional
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- 2019
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22. Single cell tri-channel-processing reveals structural variation landscapes and complex rearrangement processes
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Sanders, Ashley D., primary, Meiers, Sascha, additional, Ghareghani, Maryam, additional, Porubsky, David, additional, Jeong, Hyobin, additional, van Vliet, M. Alexandra C.C., additional, Rausch, Tobias, additional, Richter-Pechańska, Paulina, additional, Kunz, Joachim B., additional, Jenni, Silvia, additional, Raeder, Benjamin, additional, Kinanen, Venla, additional, Zimmermann, Jürgen, additional, Benes, Vladimir, additional, Schrappe, Martin, additional, Mardin, Balca R., additional, Kulozik, Andreas, additional, Bornhauser, Beat, additional, Bourquin, Jean-Pierre, additional, Marschall, Tobias, additional, and Korbel, Jan O., additional
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- 2019
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23. Spectrum and prevalence of genetic predisposition in medulloblastoma:a retrospective genetic study and prospective validation in a clinical trial cohort
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Waszak, Sebastian M., Northcott, Paul A., Buchhalter, Ivo, Robinson, Giles W., Sutter, Christian, Groebner, Susanne, Grund, Kerstin B., Brugières, Laurence, Jones, David T.W., Pajtler, Kristian W., Morrissy, A. Sorana, Kool, Marcel, Sturm, Dominik, Chavez, Lukas, Ernst, Aurelie, Brabetz, Sebastian, Hain, Michael, Zichner, Thomas, Segura-Wang, Maia, Weischenfeldt, Joachim, Rausch, Tobias, Mardin, Balca R., Zhou, Xin, Baciu, Cristina, Lawerenz, Christian, Chan, Jennifer A., Varlet, Pascale, Guerrini-Rousseau, Lea, Fults, Daniel W., Grajkowska, Wiesława, Hauser, Peter, Jabado, Nada, Ra, Young Shin, Zitterbart, Karel, Shringarpure, Suyash S., De La Vega, Francisco M., Bustamante, Carlos D., Ng, Ho Keung, Perry, Arie, MacDonald, Tobey J., Hernáiz Driever, Pablo, Bendel, Anne E., Bowers, Daniel C., McCowage, Geoffrey, Chintagumpala, Murali M., Cohn, Richard, Hassall, Timothy, Fleischhack, Gudrun, Eggen, Tone, Wesenberg, Finn, Feychting, Maria, Lannering, Birgitta, Schüz, Joachim, Johansen, Christoffer, Andersen, Tina V., Röösli, Martin, Kuehni, Claudia E., Grotzer, Michael, Kjaerheim, Kristina, Monoranu, Camelia M., Archer, Tenley C., Duke, Elizabeth, Pomeroy, Scott L., Shelagh, Redmond, Frank, Stephan, Sumerauer, David, Scheurlen, Wolfram, Ryzhova, Marina V., Milde, Till, Kratz, Christian P., Samuel, David, Zhang, Jinghui, Solomon, David A., Marra, Marco, Eils, Roland, Bartram, Claus R., von Hoff, Katja, Rutkowski, Stefan, Ramaswamy, Vijay, Gilbertson, Richard J., Korshunov, Andrey, Taylor, Michael D., Lichter, Peter, Malkin, David, Gajjar, Amar, Korbel, Jan O., Pfister, Stefan M., Waszak, Sebastian M., Northcott, Paul A., Buchhalter, Ivo, Robinson, Giles W., Sutter, Christian, Groebner, Susanne, Grund, Kerstin B., Brugières, Laurence, Jones, David T.W., Pajtler, Kristian W., Morrissy, A. Sorana, Kool, Marcel, Sturm, Dominik, Chavez, Lukas, Ernst, Aurelie, Brabetz, Sebastian, Hain, Michael, Zichner, Thomas, Segura-Wang, Maia, Weischenfeldt, Joachim, Rausch, Tobias, Mardin, Balca R., Zhou, Xin, Baciu, Cristina, Lawerenz, Christian, Chan, Jennifer A., Varlet, Pascale, Guerrini-Rousseau, Lea, Fults, Daniel W., Grajkowska, Wiesława, Hauser, Peter, Jabado, Nada, Ra, Young Shin, Zitterbart, Karel, Shringarpure, Suyash S., De La Vega, Francisco M., Bustamante, Carlos D., Ng, Ho Keung, Perry, Arie, MacDonald, Tobey J., Hernáiz Driever, Pablo, Bendel, Anne E., Bowers, Daniel C., McCowage, Geoffrey, Chintagumpala, Murali M., Cohn, Richard, Hassall, Timothy, Fleischhack, Gudrun, Eggen, Tone, Wesenberg, Finn, Feychting, Maria, Lannering, Birgitta, Schüz, Joachim, Johansen, Christoffer, Andersen, Tina V., Röösli, Martin, Kuehni, Claudia E., Grotzer, Michael, Kjaerheim, Kristina, Monoranu, Camelia M., Archer, Tenley C., Duke, Elizabeth, Pomeroy, Scott L., Shelagh, Redmond, Frank, Stephan, Sumerauer, David, Scheurlen, Wolfram, Ryzhova, Marina V., Milde, Till, Kratz, Christian P., Samuel, David, Zhang, Jinghui, Solomon, David A., Marra, Marco, Eils, Roland, Bartram, Claus R., von Hoff, Katja, Rutkowski, Stefan, Ramaswamy, Vijay, Gilbertson, Richard J., Korshunov, Andrey, Taylor, Michael D., Lichter, Peter, Malkin, David, Gajjar, Amar, Korbel, Jan O., and Pfister, Stefan M.
- Abstract
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
- Published
- 2018
24. Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking
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Weischenfeldt, Joachim, Dubash, Taronish, Drainas, Alexandros P., Mardin, Balca R., Chen, Yuanyuan, Stuetz, Adrian M., Waszak, Sebastian M., Bosco, Graziella, Halvorsen, Ann Rita, Raeder, Benjamin, Efthymiopoulos, Theocharis, Erkek, Serap, Siegl, Christine, Brenner, Hermann, Brustugun, Odd Terje, Dieter, Sebastian M., Northcott, Paul A., Petersen, Iver, Pfister, Stefan M., Schneider, Martin, Solberg, Steinar K., Thunissen, Erik, Weichert, Wilko, Zichner, Thomas, Thomas, Roman, Peifer, Martin, Helland, Aslaug, Ball, Claudia R., Jechlinger, Martin, Sotillo, Rocio, Glimm, Hanno, Korbel, Jan O., Weischenfeldt, Joachim, Dubash, Taronish, Drainas, Alexandros P., Mardin, Balca R., Chen, Yuanyuan, Stuetz, Adrian M., Waszak, Sebastian M., Bosco, Graziella, Halvorsen, Ann Rita, Raeder, Benjamin, Efthymiopoulos, Theocharis, Erkek, Serap, Siegl, Christine, Brenner, Hermann, Brustugun, Odd Terje, Dieter, Sebastian M., Northcott, Paul A., Petersen, Iver, Pfister, Stefan M., Schneider, Martin, Solberg, Steinar K., Thunissen, Erik, Weichert, Wilko, Zichner, Thomas, Thomas, Roman, Peifer, Martin, Helland, Aslaug, Ball, Claudia R., Jechlinger, Martin, Sotillo, Rocio, Glimm, Hanno, and Korbel, Jan O.
- Abstract
Extensive prior research focused on somatic copy-number alterations (SCNAs) affecting cancer genes, yet the extent to which recurrent SCNAs exert their influence through rearrangement of cis-regulatory elements (CREs) remains unclear. Here we present a framework for inferring cancer-related gene overexpression resulting from CRE reorganization (e.g., enhancer hijacking) by integrating SCNAs, gene expression data and information on topologically associating domains (TADS). Analysis of 7,416 cancer genomes uncovered several pan-cancer candidate genes, including IRS4, SMARCA1 and TERT. We demonstrate that IRS4 overexpression in lung cancer is associated with recurrent deletions in cis, and we present evidence supporting a tumor promoting role. We additionally pursued cancer-type-specific analyses and uncovered IGF2 as a target for enhancer hijacking in colorectal cancer. Recurrent tandem duplications intersecting with a TAD boundary mediate de novo formation of a 3D contact domain comprising IGF2 and a lineage-specific super-enhancer, resulting in high-level gene activation. Our framework enables systematic inference of CRE rearrangements mediating dysregulation in cancer.
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- 2017
25. Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking
- Author
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Weischenfeldt, Joachim Lütken, Dubash, Taronish, Drainas, Alexandros P, Mardin, Balca R, Chen, Yuanyuan, Stütz, Adrian M, Waszak, Sebastian M, Bosco, Graziella, Halvorsen, Ann Rita, Raeder, Benjamin, Efthymiopoulos, Theocharis, Erkek, Serap, Siegl, Christine, Brenner, Hermann, Brustugun, Odd Terje, Dieter, Sebastian M, Northcott, Paul A, Petersen, Iver, Pfister, Stefan M, Schneider, Martin, Solberg, Steinar K, Thunissen, Erik, Weichert, Wilko, Zichner, Thomas, Thomas, Roman, Peifer, Martin, Helland, Aslaug, Ball, Claudia R, Jechlinger, Martin, Sotillo, Rocio, Glimm, Hanno, Korbel, Jan O, Weischenfeldt, Joachim Lütken, Dubash, Taronish, Drainas, Alexandros P, Mardin, Balca R, Chen, Yuanyuan, Stütz, Adrian M, Waszak, Sebastian M, Bosco, Graziella, Halvorsen, Ann Rita, Raeder, Benjamin, Efthymiopoulos, Theocharis, Erkek, Serap, Siegl, Christine, Brenner, Hermann, Brustugun, Odd Terje, Dieter, Sebastian M, Northcott, Paul A, Petersen, Iver, Pfister, Stefan M, Schneider, Martin, Solberg, Steinar K, Thunissen, Erik, Weichert, Wilko, Zichner, Thomas, Thomas, Roman, Peifer, Martin, Helland, Aslaug, Ball, Claudia R, Jechlinger, Martin, Sotillo, Rocio, Glimm, Hanno, and Korbel, Jan O
- Abstract
Extensive prior research focused on somatic copy-number alterations (SCNAs) affecting cancer genes, yet the extent to which recurrent SCNAs exert their influence through rearrangement of cis-regulatory elements (CREs) remains unclear. Here we present a framework for inferring cancer-related gene overexpression resulting from CRE reorganization (e.g., enhancer hijacking) by integrating SCNAs, gene expression data and information on topologically associating domains (TADs). Analysis of 7,416 cancer genomes uncovered several pan-cancer candidate genes, including IRS4, SMARCA1 and TERT. We demonstrate that IRS4 overexpression in lung cancer is associated with recurrent deletions in cis, and we present evidence supporting a tumor-promoting role. We additionally pursued cancer-type-specific analyses and uncovered IGF2 as a target for enhancer hijacking in colorectal cancer. Recurrent tandem duplications intersecting with a TAD boundary mediate de novo formation of a 3D contact domain comprising IGF2 and a lineage-specific super-enhancer, resulting in high-level gene activation. Our framework enables systematic inference of CRE rearrangements mediating dysregulation in cancer.
- Published
- 2017
26. Systematic Identification of Determinants for Single-Strand Annealing-Mediated Deletion Formation inSaccharomyces cerevisiae
- Author
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Segura-Wang, Maia, primary, Onishi-Seebacher, Megumi, additional, Stütz, Adrian M, additional, Mardin, Balca R, additional, and Korbel, Jan O, additional
- Published
- 2017
- Full Text
- View/download PDF
27. Pan-cancer analysis distinguishes transcriptional changes of aneuploidy from proliferation
- Author
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Buccitelli, Christopher, primary, Salgueiro, Lorena, additional, Rowald, Konstantina, additional, Sotillo, Rocio, additional, Mardin, Balca R., additional, and Korbel, Jan O., additional
- Published
- 2017
- Full Text
- View/download PDF
28. Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking
- Author
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Weischenfeldt, Joachim, primary, Dubash, Taronish, additional, Drainas, Alexandros P, additional, Mardin, Balca R, additional, Chen, Yuanyuan, additional, Stütz, Adrian M, additional, Waszak, Sebastian M, additional, Bosco, Graziella, additional, Halvorsen, Ann Rita, additional, Raeder, Benjamin, additional, Efthymiopoulos, Theocharis, additional, Erkek, Serap, additional, Siegl, Christine, additional, Brenner, Hermann, additional, Brustugun, Odd Terje, additional, Dieter, Sebastian M, additional, Northcott, Paul A, additional, Petersen, Iver, additional, Pfister, Stefan M, additional, Schneider, Martin, additional, Solberg, Steinar K, additional, Thunissen, Erik, additional, Weichert, Wilko, additional, Zichner, Thomas, additional, Thomas, Roman, additional, Peifer, Martin, additional, Helland, Aslaug, additional, Ball, Claudia R, additional, Jechlinger, Martin, additional, Sotillo, Rocio, additional, Glimm, Hanno, additional, and Korbel, Jan O, additional
- Published
- 2016
- Full Text
- View/download PDF
29. Using large-scale genome variation cohorts to decipher the molecular mechanism of cancer
- Author
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Habermann, Nina, primary, Mardin, Balca R., additional, Yakneen, Sergei, additional, and Korbel, Jan O., additional
- Published
- 2016
- Full Text
- View/download PDF
30. Identification ofZCCHC8as fusion partner ofROS1in a case of congenital glioblastoma multiforme with a t(6;12)(q21;q24.3)
- Author
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Coccé, Mariela C., primary, Mardin, Balca R., additional, Bens, Susanne, additional, Stütz, Adrian M., additional, Lubieniecki, Fabiana, additional, Vater, Inga, additional, Korbel, Jan O., additional, Siebert, Reiner, additional, Alonso, Cristina N., additional, and Gallego, Marta S., additional
- Published
- 2016
- Full Text
- View/download PDF
31. Negative Selection and Chromosome Instability Induced by Mad2 Overexpression Delay Breast Cancer but Facilitate Oncogene-Independent Outgrowth
- Author
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Rowald, Konstantina, primary, Mantovan, Martina, additional, Passos, Joana, additional, Buccitelli, Christopher, additional, Mardin, Balca R., additional, Korbel, Jan O., additional, Jechlinger, Martin, additional, and Sotillo, Rocio, additional
- Published
- 2016
- Full Text
- View/download PDF
32. Immortalization capacity of HPV types is inversely related to chromosomal instability
- Author
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Schütze, Denise M., primary, Krijgsman, Oscar, additional, Snijders, Peter J.F., additional, Ylstra, Bauke, additional, Weischenfeldt, Joachim, additional, Mardin, Balca R., additional, Stütz, Adrian M., additional, Korbel, Jan O., additional, de Winter, Johan P., additional, Meijer, Chris J.L.M., additional, Quint, Wim G.V., additional, Bosch, Leontien, additional, Wilting, Saskia M., additional, and Steenbergen, Renske D.M., additional
- Published
- 2016
- Full Text
- View/download PDF
33. EGF-Induced Centrosome Separation Promotes Mitotic Progression and Cell Survival
- Author
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Mardin, Balca R., primary, Isokane, Mayumi, additional, Cosenza, Marco R., additional, Krämer, Alwin, additional, Ellenberg, Jan, additional, Fry, Andrew M., additional, and Schiebel, Elmar, additional
- Published
- 2013
- Full Text
- View/download PDF
34. Identification of ZCCHC8 as fusion partner of ROS1 in a case of congenital glioblastoma multiforme with a t(6;12)(q21;q24.3).
- Author
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Coccé, Mariela C., Mardin, Balca R., Bens, Susanne, Stütz, Adrian M., Lubieniecki, Fabiana, Vater, Inga, Korbel, Jan O., Siebert, Reiner, Alonso, Cristina N., and Gallego, Marta S.
- Published
- 2016
- Full Text
- View/download PDF
35. Tandem fluorescent protein timers for in vivo analysis of protein dynamics
- Author
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Khmelinskii, Anton, primary, Keller, Philipp J, additional, Bartosik, Anna, additional, Meurer, Matthias, additional, Barry, Joseph D, additional, Mardin, Balca R, additional, Kaufmann, Andreas, additional, Trautmann, Susanne, additional, Wachsmuth, Malte, additional, Pereira, Gislene, additional, Huber, Wolfgang, additional, Schiebel, Elmar, additional, and Knop, Michael, additional
- Published
- 2012
- Full Text
- View/download PDF
36. Breaking the ties that bind: New advances in centrosome biology
- Author
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Mardin, Balca R., primary and Schiebel, Elmar, additional
- Published
- 2012
- Full Text
- View/download PDF
37. Plk1 Controls the Nek2A-PP1γ Antagonism in Centrosome Disjunction
- Author
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Mardin, Balca R., primary, Agircan, Fikret G., additional, Lange, Cornelia, additional, and Schiebel, Elmar, additional
- Published
- 2011
- Full Text
- View/download PDF
38. Components of the Hippo pathway cooperate with Nek2 kinase to regulate centrosome disjunction
- Author
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Mardin, Balca R., primary, Lange, Cornelia, additional, Baxter, Joanne E., additional, Hardy, Tara, additional, Scholz, Sebastian R., additional, Fry, Andrew M., additional, and Schiebel, Elmar, additional
- Published
- 2010
- Full Text
- View/download PDF
39. Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort
- Author
-
Waszak, Sebastian M, Northcott, Paul A, Buchhalter, Ivo, Robinson, Giles W, Sutter, Christian, Groebner, Susanne, Grund, Kerstin B, Brugières, Laurence, Jones, David TW, Pajtler, Kristian W, Morrissy, A Sorana, Kool, Marcel, Sturm, Dominik, Chavez, Lukas, Ernst, Aurelie, Brabetz, Sebastian, Hain, Michael, Zichner, Thomas, Segura-Wang, Maia, Weischenfeldt, Joachim, Rausch, Tobias, Mardin, Balca R, Zhou, Xin, Baciu, Cristina, Lawerenz, Christian, Chan, Jennifer A, Varlet, Pascale, Guerrini-Rousseau, Lea, Fults, Daniel W, Grajkowska, Wiesława, Hauser, Peter, Jabado, Nada, Ra, Young-Shin, Zitterbart, Karel, Shringarpure, Suyash S, De La Vega, Francisco M, Bustamante, Carlos D, Ng, Ho-Keung, Perry, Arie, MacDonald, Tobey J, Hernáiz Driever, Pablo, Bendel, Anne E, Bowers, Daniel C, McCowage, Geoffrey, Chintagumpala, Murali M, Cohn, Richard, Hassall, Timothy, Fleischhack, Gudrun, Eggen, Tone, Wesenberg, Finn, Feychting, Maria, Lannering, Birgitta, Schüz, Joachim, Johansen, Christoffer, Andersen, Tina V, Röösli, Martin, Kuehni, Claudia E, Grotzer, Michael, Kjaerheim, Kristina, Monoranu, Camelia M, Archer, Tenley C, Duke, Elizabeth, Pomeroy, Scott L, Shelagh, Redmond, Frank, Stephan, Sumerauer, David, Scheurlen, Wolfram, Ryzhova, Marina V, Milde, Till, Kratz, Christian P, Samuel, David, Zhang, Jinghui, Solomon, David A, Marra, Marco, Eils, Roland, Bartram, Claus R, Von Hoff, Katja, Rutkowski, Stefan, Ramaswamy, Vijay, Gilbertson, Richard J, Korshunov, Andrey, Taylor, Michael D, Lichter, Peter, Malkin, David, Gajjar, Amar, Korbel, Jan O, and Pfister, Stefan M
- Subjects
Adult ,Male ,Heredity ,Adolescent ,DNA Mutational Analysis ,Young Adult ,Predictive Value of Tests ,Risk Factors ,Exome Sequencing ,Biomarkers, Tumor ,Humans ,Genetic Predisposition to Disease ,Genetic Testing ,Prospective Studies ,Cerebellar Neoplasms ,Child ,Germ-Line Mutation ,Retrospective Studies ,Models, Genetic ,Gene Expression Profiling ,Infant ,Reproducibility of Results ,DNA Methylation ,Progression-Free Survival ,3. Good health ,Pedigree ,Phenotype ,Child, Preschool ,Female ,Transcriptome ,Medulloblastoma - Abstract
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. FUNDING: German Cancer Aid; German Federal Ministry of Education and Research; German Childhood Cancer Foundation (Deutsche Kinderkrebsstiftung); European Research Council; National Institutes of Health; Canadian Institutes for Health Research; German Cancer Research Center; St Jude Comprehensive Cancer Center; American Lebanese Syrian Associated Charities; Swiss National Science Foundation; European Molecular Biology Organization; Cancer Research UK; Hertie Foundation; Alexander and Margaret Stewart Trust; V Foundation for Cancer Research; Sontag Foundation; Musicians Against Childhood Cancer; BC Cancer Foundation; Swedish Council for Health, Working Life and Welfare; Swedish Research Council; Swedish Cancer Society; the Swedish Radiation Protection Authority; Danish Strategic Research Council; Swiss Federal Office of Public Health; Swiss Research Foundation on Mobile Communication; Masaryk University; Ministry of Health of the Czech Republic; Research Council of Norway; Genome Canada; Genome BC; Terry Fox Research Institute; Ontario Institute for Cancer Research; Pediatric Oncology Group of Ontario; The Family of Kathleen Lorette and the Clark H Smith Brain Tumour Centre; Montreal Children's Hospital Foundation; The Hospital for Sick Children: Sonia and Arthur Labatt Brain Tumour Research Centre, Chief of Research Fund, Cancer Genetics Program, Garron Family Cancer Centre, MDT's Garron Family Endowment; BC Childhood Cancer Parents Association; Cure Search Foundation; Pediatric Brain Tumor Foundation; Brainchild; and the Government of Ontario.
40. Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort
- Author
-
Waszak, Sebastian M, Northcott, Paul A, Buchhalter, Ivo, Robinson, Giles W, Sutter, Christian, Groebner, Susanne, Grund, Kerstin B, Brugières, Laurence, Jones, David T W, Pajtler, Kristian W, Morrissy, A Sorana, Kool, Marcel, Sturm, Dominik, Chavez, Lukas, Ernst, Aurelie, Brabetz, Sebastian, Hain, Michael, Zichner, Thomas, Segura-Wang, Maia, Weischenfeldt, Joachim, Rausch, Tobias, Mardin, Balca R, Zhou, Xin, Baciu, Cristina, Lawerenz, Christian, Chan, Jennifer A, Varlet, Pascale, Guerrini-Rousseau, Lea, Fults, Daniel W, Grajkowska, Wiesława, Hauser, Peter, Jabado, Nada, Ra, Young-Shin, Zitterbart, Karel, Shringarpure, Suyash S, De La Vega, Francisco M, Bustamante, Carlos D, Ng, Ho-Keung, Perry, Arie, MacDonald, Tobey J, Hernáiz Driever, Pablo, Bendel, Anne E, Bowers, Daniel C, McCowage, Geoffrey, Chintagumpala, Murali M, Cohn, Richard, Hassall, Timothy, Fleischhack, Gudrun, Eggen, Tone, Wesenberg, Finn, Feychting, Maria, Lannering, Birgitta, Schüz, Joachim, Johansen, Christoffer, Andersen, Tina V, Röösli, Martin, Kuehni, Claudia E, Grotzer, Michael, Kjaerheim, Kristina, Monoranu, Camelia M, Archer, Tenley C, Duke, Elizabeth, Pomeroy, Scott L, Redmond, Shelagh, Frank, Stephan, Sumerauer, David, Scheurlen, Wolfram, Ryzhova, Marina V, Milde, Till, Kratz, Christian P, Samuel, David, Zhang, Jinghui, Solomon, David A, Marra, Marco, Eils, Roland, Bartram, Claus R, Von Hoff, Katja, Rutkowski, Stefan, Ramaswamy, Vijay, Gilbertson, Richard J, Korshunov, Andrey, Taylor, Michael D, Lichter, Peter, Malkin, David, Gajjar, Amar, Korbel, Jan O, and Pfister, Stefan M
- Subjects
610 Medicine & health ,360 Social problems & social services ,3. Good health - Abstract
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 (MB), SHH (MB), group 3 (MB), and group 4 (MB). 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 MB 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 MB subgroup). Patients with germline APC mutations developed MB and accounted for most (five [71%] of seven) cases of MB that had no somatic CTNNB1 exon 3 mutations. Patients with germline mutations in SUFU and PTCH1 mostly developed infant MB. Germline TP53 mutations presented only in childhood patients in the MB 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 MB, MB, and MB 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 MB and MB 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. FUNDING German Cancer Aid; German Federal Ministry of Education and Research; German Childhood Cancer Foundation (Deutsche Kinderkrebsstiftung); European Research Council; National Institutes of Health; Canadian Institutes for Health Research; German Cancer Research Center; St Jude Comprehensive Cancer Center; American Lebanese Syrian Associated Charities; Swiss National Science Foundation; European Molecular Biology Organization; Cancer Research UK; Hertie Foundation; Alexander and Margaret Stewart Trust; V Foundation for Cancer Research; Sontag Foundation; Musicians Against Childhood Cancer; BC Cancer Foundation; Swedish Council for Health, Working Life and Welfare; Swedish Research Council; Swedish Cancer Society; the Swedish Radiation Protection Authority; Danish Strategic Research Council; Swiss Federal Office of Public Health; Swiss Research Foundation on Mobile Communication; Masaryk University; Ministry of Health of the Czech Republic; Research Council of Norway; Genome Canada; Genome BC; Terry Fox Research Institute; Ontario Institute for Cancer Research; Pediatric Oncology Group of Ontario; The Family of Kathleen Lorette and the Clark H Smith Brain Tumour Centre; Montreal Children's Hospital Foundation; The Hospital for Sick Children: Sonia and Arthur Labatt Brain Tumour Research Centre, Chief of Research Fund, Cancer Genetics Program, Garron Family Cancer Centre, MDT's Garron Family Endowment; BC Childhood Cancer Parents Association; Cure Search Foundation; Pediatric Brain Tumor Foundation; Brainchild; and the Government of Ontario.
41. Systematic Identification of Determinants for Single-Strand Annealing-Mediated Deletion Formation in Saccharomyces cerevisiae.
- Author
-
Segura-Wang, Maia, Onishi-Seebacher, Megumi, Stütz, Adrian M., Mardin, Balca R., and Korbel, Jan O.
- Subjects
- *
DNA repair , *DNA damage , *GENOMICS - Abstract
To ensure genomic integrity, living organisms have evolved diverse molecular processes for sensing and repairing damaged DNA. If improperly repaired, DNA damage can give rise to different types of mutations, an important class of which are genomic structural variants (SVs). In spite of their importance for phenotypic variation and genome evolution, potential contributors to SV formation in Saccharomyces cerevisiae (budding yeast), a highly tractable model organism, are not fully recognized. Here, we developed and applied a genome-wide assay to identify yeast gene knockout mutants associated with de novo deletion formation, in particular single-strand annealing (SSA)-mediated deletion formation, in a systematic manner. In addition to genes previously linked to genome instability, our approach implicates novel genes involved in chromatin remodeling and meiosis in affecting the rate of SSA-mediated deletion formation in the presence or absence of stress conditions induced by DNA-damaging agents. We closely examined two candidate genes, the chromatin remodeling gene IOC4 and the meiosis-related gene MSH4, which when knocked-out resulted in gene expression alterations affecting genes involved in cell division and chromosome organization, as well as DNA repair and recombination, respectively. Our high-throughput approach facilitates the systematic identification of processes linked to the formation of a major class of genetic variation. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
42. The interplay of DNA repair context with target sequence predictably biases Cas9-generated mutations.
- Author
-
Pallaseni A, Peets EM, Girling G, Crepaldi L, Kuzmin I, Moor M, Muñoz-Subirana N, Schimmel J, Serçin Ö, Mardin BR, Tijsterman M, Peterson H, Kosicki M, and Parts L
- Abstract
Mutagenic outcomes of CRISPR/Cas9-generated double-stranded breaks depend on both the sequence flanking the cut and cellular DNA damage repair. The interaction of these features has been largely unexplored, limiting our ability to understand and manipulate the outcomes. Here, we measured how the absence of 18 repair genes changed frequencies of 83,680 unique mutational outcomes generated by Cas9 double-stranded breaks at 2,838 synthetic target sequences in mouse embryonic stem cells. This large scale survey allowed us to classify the outcomes in an unbiased way, generating hypotheses about new modes of double-stranded break repair. Our data indicate a specialised role for Prkdc (DNA-PKcs protein) and Polm (Polμ) in creating 1bp insertions that match the nucleotide on the proximal side of the Cas9 cut with respect to the protospacer-adjacent motif (PAM), a variable involvement of Nbn (NBN) and Polq (Polθ) in the creation of different deletion outcomes, and a unique class of uni-directional deletion outcomes that are dependent on both end-protection gene Xrcc5 (Ku80) and the resection gene Nbn (NBN). We used the knowledge of the reproducible variation across repair milieus to build predictive models of the mutagenic outcomes of Cas9 scission that outperform the current standards. This work improves our understanding of DNA repair gene function, and provides avenues for more precise modulation of CRISPR/Cas9-generated mutations., Competing Interests: B.M. is an employee of Merck Healthcare, Darmstadt, Germany. O.S. is an employee of BioMed X Institute (GmbH), Heidelberg, Germany, which receives research grants from Merck KGaA. L.P. Receives remuneration and stock options from ExpressionEdits. We would like to acknowledge Allan Bradley and Frances Steward for providing us with the mouse embryonic stem cell DNA damage knock-out library and feeder cells, and for helpful suggestions; Juliane Weller for suggestions on the design of the web tool; and Uku Raudvere for technical guidance.
- Published
- 2024
- Full Text
- View/download PDF
43. A solid-phase transfection platform for arrayed CRISPR screens.
- Author
-
Serçin Ö, Reither S, Roidos P, Ballin N, Palikyras S, Baginska A, Rein K, Llamazares M, Halavatyi A, Winter H, Muley T, Jurkowska RZ, Abdollahi A, Zenke FT, Neumann B, and Mardin BR
- Published
- 2020
- Full Text
- View/download PDF
44. Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking.
- Author
-
Weischenfeldt J, Dubash T, Drainas AP, Mardin BR, Chen Y, Stütz AM, Waszak SM, Bosco G, Halvorsen AR, Raeder B, Efthymiopoulos T, Erkek S, Siegl C, Brenner H, Brustugun OT, Dieter SM, Northcott PA, Petersen I, Pfister SM, Schneider M, Solberg SK, Thunissen E, Weichert W, Zichner T, Thomas R, Peifer M, Helland A, Ball CR, Jechlinger M, Sotillo R, Glimm H, and Korbel JO
- Subjects
- Genetic Association Studies, Genetic Predisposition to Disease, Humans, Promoter Regions, Genetic, DNA Copy Number Variations genetics, Enhancer Elements, Genetic genetics, Gene Expression Regulation, Neoplastic, Insulin Receptor Substrate Proteins genetics, Insulin-Like Growth Factor II genetics, Neoplasms genetics
- Abstract
Extensive prior research focused on somatic copy-number alterations (SCNAs) affecting cancer genes, yet the extent to which recurrent SCNAs exert their influence through rearrangement of cis-regulatory elements (CREs) remains unclear. Here we present a framework for inferring cancer-related gene overexpression resulting from CRE reorganization (e.g., enhancer hijacking) by integrating SCNAs, gene expression data and information on topologically associating domains (TADs). Analysis of 7,416 cancer genomes uncovered several pan-cancer candidate genes, including IRS4, SMARCA1 and TERT. We demonstrate that IRS4 overexpression in lung cancer is associated with recurrent deletions in cis, and we present evidence supporting a tumor-promoting role. We additionally pursued cancer-type-specific analyses and uncovered IGF2 as a target for enhancer hijacking in colorectal cancer. Recurrent tandem duplications intersecting with a TAD boundary mediate de novo formation of a 3D contact domain comprising IGF2 and a lineage-specific super-enhancer, resulting in high-level gene activation. Our framework enables systematic inference of CRE rearrangements mediating dysregulation in cancer.
- Published
- 2017
- Full Text
- View/download PDF
45. Separate to operate: control of centrosome positioning and separation.
- Author
-
Agircan FG, Schiebel E, and Mardin BR
- Subjects
- Dyneins metabolism, Humans, Kinesins metabolism, NIMA-Related Kinases, Protein Serine-Threonine Kinases metabolism, Cell Cycle physiology, Centrioles physiology, Centrosome physiology, Microtubules physiology, Molecular Motor Proteins metabolism, Spindle Apparatus physiology
- Abstract
The centrosome is the main microtubule (MT)-organizing centre of animal cells. It consists of two centrioles and a multi-layered proteinaceous structure that surrounds the centrioles, the so-called pericentriolar material. Centrosomes promote de novo assembly of MTs and thus play important roles in Golgi organization, cell polarity, cell motility and the organization of the mitotic spindle. To execute these functions, centrosomes have to adopt particular cellular positions. Actin and MT networks and the association of the centrosomes to the nuclear envelope define the correct positioning of the centrosomes. Another important feature of centrosomes is the centrosomal linker that connects the two centrosomes. The centrosome linker assembles in late mitosis/G1 simultaneously with centriole disengagement and is dissolved before or at the beginning of mitosis. Linker dissolution is important for mitotic spindle formation, and its cell cycle timing has profound influences on the execution of mitosis and proficiency of chromosome segregation. In this review, we will focus on the mechanisms of centrosome positioning and separation, and describe their functions and mechanisms in the light of recent findings., (© 2014 The Author(s) Published by the Royal Society. All rights reserved.)
- Published
- 2014
- Full Text
- View/download PDF
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