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      Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort

      research-article
      , PhD af , * , , PhD aj , br , * , , PhD am , ao , , MD bs , , PhD ag , , PhD aj , , MD ag , , MD v , , PhD aj , ar , , MD ah , aj , ar , , PhD d , f , , PhD aj , ar , , MD ah , aj , ar , , PhD aj , , PhD an , , MSc ah , aj , ar , , CITBM an , , PhD af , , PhD af , , PhD q , s , af , , PhD af , , PhD af , , PhD bq , , PhD l , , PhD ap , , MD e , , MD w , , MD v , , MD bi , , Prof, MD ax , , PhD as , , Prof, MD i , , MD at , , MD n , p , , PhD bm , , DSc bm , , PhD bm , , MD m , , Prof, MD bn , , Prof, MD bl , ac , , MD bj , , MD bo , , MBBS c , , Prof, MD bk , , Prof, MBBCh b , , MBBS a , , MD ae , , MSc aw , , Prof, MD au , av , aw , , Prof, PhD ba , , Prof, MD az , , PhD x , , Prof, MD r , t , , MS u , , Prof, PhD bb , bf , , Prof, MD be , , Prof, MD bc , , PhD aw , , MD z , aa , , PhD bg , bh , , MD bh , , Prof, MD bg , bh , , PhD be , , Prof, MD bd , , MD o , , Prof, MD y , , MD ay , , MD ah , al , ar , , Prof, MD ad , , MD bp , , PhD bq , , MD bn , , PhD k , , Prof, PhD am , , Prof, MD ag , , MD ab , ac , , Prof, MD ab , , MD g , j , , Prof, PhD bt , , MD ai , aq , , Prof, MD h , , Prof, PhD ak , , MD g , j , , , Prof, MD bs , , , PhD af , , , Prof, MD ah , aj , ar , , *
      The Lancet. Oncology
      Lancet Pub. Group

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          Summary

          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 WNT), SHH (MB SHH), group 3 (MB Group3), and group 4 (MB Group4). 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 SHH 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 SHH subgroup). Patients with germline APC mutations developed MB WNT and accounted for most (five [71%] of seven) cases of MB WNT that had no somatic CTNNB1 exon 3 mutations. Patients with germline mutations in SUFU and PTCH1 mostly developed infant MB SHH. Germline TP53 mutations presented only in childhood patients in the MB SHH 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 SHH, MB Group3, and MB Group4 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 WNT and MB SHH 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.

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          Most cited references23

          • Record: found
          • Abstract: found
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          Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations.

          Genomic rearrangements are thought to occur progressively during tumor development. Recent findings, however, suggest an alternative mechanism, involving massive chromosome rearrangements in a one-step catastrophic event termed chromothripsis. We report the whole-genome sequencing-based analysis of a Sonic-Hedgehog medulloblastoma (SHH-MB) brain tumor from a patient with a germline TP53 mutation (Li-Fraumeni syndrome), uncovering massive, complex chromosome rearrangements. Integrating TP53 status with microarray and deep sequencing-based DNA rearrangement data in additional patients reveals a striking association between TP53 mutation and chromothripsis in SHH-MBs. Analysis of additional tumor entities substantiates a link between TP53 mutation and chromothripsis, and indicates a context-specific role for p53 in catastrophic DNA rearrangements. Among these, we observed a strong association between somatic TP53 mutations and chromothripsis in acute myeloid leukemia. These findings connect p53 status and chromothripsis in specific tumor types, providing a genetic basis for understanding particularly aggressive subtypes of cancer. Copyright © 2012 Elsevier Inc. All rights reserved.
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            Realizing the promise of cancer predisposition genes.

            Genes in which germline mutations confer highly or moderately increased risks of cancer are called cancer predisposition genes. More than 100 of these genes have been identified, providing important scientific insights in many areas, particularly the mechanisms of cancer causation. Moreover, clinical utilization of cancer predisposition genes has had a substantial impact on diagnosis, optimized management and prevention of cancer. The recent transformative advances in DNA sequencing hold the promise of many more cancer predisposition gene discoveries, and greater and broader clinical applications. However, there is also considerable potential for incorrect inferences and inappropriate clinical applications. Realizing the promise of cancer predisposition genes for science and medicine will thus require careful navigation.
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              • Record: found
              • Abstract: found
              • Article: not found

              Genomics identifies medulloblastoma subgroups that are enriched for specific genetic alterations.

              Traditional genetic approaches to identify gene mutations in cancer are expensive and laborious. Nonetheless, if we are to avoid rejecting effective molecular targeted therapies, we must test these drugs in patients whose tumors harbor mutations in the drug target. We hypothesized that gene expression profiling might be a more rapid and cost-effective method of identifying tumors that contain specific genetic abnormalities. Gene expression profiles of 46 samples of medulloblastoma were generated using the U133av2 Affymetrix oligonucleotide array and validated using real-time reverse transcriptase polymerase chain reaction (RT-PCR) and immunohistochemistry. Genetic abnormalities were confirmed using fluorescence in situ hybridization (FISH) and direct sequencing. Unsupervised analysis of gene expression profiles partitioned medulloblastomas into five distinct subgroups (subgroups A to E). Gene expression signatures that distinguished these subgroups predicted the presence of key molecular alterations that we subsequently confirmed by gene sequence analysis and FISH. Subgroup-specific abnormalities included mutations in the Wingless (WNT) pathway and deletion of chromosome 6 (subgroup B) and mutations in the Sonic Hedgehog (SHH) pathway (subgroup D). Real-time RT-PCR analysis of gene expression profiles was then used to predict accurately the presence of mutations in the WNT and SHH pathways in a separate group of 31 medulloblastomas. Genome-wide expression profiles can partition large tumor cohorts into subgroups that are enriched for specific genetic alterations. This approach may assist ultimately in the selection of patients for future clinical trials of molecular targeted therapies.
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                Author and article information

                Contributors
                Journal
                Lancet Oncol
                Lancet Oncol
                The Lancet. Oncology
                Lancet Pub. Group
                1470-2045
                1474-5488
                1 June 2018
                June 2018
                : 19
                : 6
                : 785-798
                Affiliations
                [a ]Department of Paediatric Oncology, Lady Cilento Children's Hospital, South Brisbane, QLD, Australia
                [b ]Department of Paediatric Oncology, Sydney Children's Hospital, Sydney, NSW, Australia
                [c ]Department of Paediatric Oncology, The Children's Hospital at Westmead, Sydney, NSW, Australia
                [d ]Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
                [e ]Department of Pathology and Laboratory Medicine, Department of Oncology, and Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
                [f ]Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
                [g ]Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
                [h ]Division of Neurosurgery, The Hospital for Sick Children, Toronto, ON, Canada
                [i ]Department of Pediatrics, McGill University, Montreal, QC, Canada
                [j ]Department of Pediatrics, University of Toronto, Toronto, ON, Canada
                [k ]Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
                [l ]University Health Network-Toronto General Hospital, Toronto, ON, Canada
                [m ]Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
                [n ]Department of Paediatric Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
                [o ]Department of Pediatric Hematology and Oncology, 2nd Faculty of Medicine, University Hospital Motol, Charles University, Prague, Czech Republic
                [p ]Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
                [q ]Biotech Research and Innovation Centre, Copenhagen, Denmark
                [r ]Oncology Clinic, Finsen Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [s ]Finsen Laboratory, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [t ]Unit of Survivorship, Copenhagen, Denmark
                [u ]Danish Cancer Society Research Center, Copenhagen, Denmark
                [v ]Department of Children and Adolescents Oncology, Gustave Roussy Cancer Campus, Villejuif, France
                [w ]Department of Neuropathology, Sainte-Anne Hospital, Paris, France
                [x ]Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France
                [y ]Cnopf'sche Kinderklinik, Nuremberg, Germany
                [z ]Comprehensive Cancer Center Mainfranken, Würzburg, Germany
                [aa ]Department of Neuropathology, Institute of Pathology, University of Würzburg, Würzburg, Germany
                [ab ]Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
                [ac ]Klinik für Pädiatrie mS Onkologie und Hämatologie, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
                [ad ]Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany
                [ae ]Pediatric Oncology and Hematology, Pediatrics III, University Hospital of Essen, Essen, Germany
                [af ]European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
                [ag ]Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
                [ah ]Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
                [ai ]Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
                [aj ]Division of Pediatric Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
                [ak ]Division of Molecular Genetics, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
                [al ]Clinical Cooperation Unit Pediatric Oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
                [am ]Division of Theoretical Bioinformatics, German Cancer Research Center, Heidelberg, Germany
                [an ]Division of Molecular Genetics, German Cancer Research Center, Heidelberg, Germany
                [ao ]Division of Applied Bioinformatics, German Cancer Research Center, Heidelberg, Germany
                [ap ]Data Management Facility, German Cancer Research Center, Heidelberg, Germany
                [aq ]Clinical Cooperation Unit Neuropathology, German Cancer Research Center, Heidelberg, Germany
                [ar ]Hopp Children's Cancer Center at the NCT Heidelberg, Heidelberg, Germany
                [as ]2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary
                [at ]Department of Neurosurgery, Asan Medical Center, Seoul, South Korea
                [au ]Department of Pediatric Medicine, Oslo University Hospital, Oslo, Norway
                [av ]Institute of Clinical Medicine, University of Oslo, Oslo, Norway
                [aw ]Cancer Registry of Norway, Oslo, Norway
                [ax ]Department of Pathology, Children's Memorial Health Institute, Warsaw, Poland
                [ay ]Department of Neuropathology, Burdenko Neurosurgical Institute, Moscow, Russia
                [az ]Department of Pediatrics, University of Gothenburg, The Queen Silvia Children's Hospital, Gothenburg, Sweden
                [ba ]Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
                [bb ]Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland
                [bc ]Department of Pediatric Oncology, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
                [bd ]Institute of Neuropathology, University Hospital Basel, Basel, Switzerland
                [be ]Swiss Childhood Cancer Registry, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
                [bf ]Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
                [bg ]Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
                [bh ]Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
                [bi ]Department of Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT, USA
                [bj ]Department of Pediatric Hematology and Oncology, Children's Hospitals and Clinics of Minnesota, Minneapolis, MN, USA
                [bk ]Department of Pediatric Hematology and Oncology, Texas Children's Hospital, Houston, TX, USA
                [bl ]Department of Pediatrics, Aflac Cancer and Blood Disorders Center, Emory University School of Medicine, Atlanta, GA, USA
                [bm ]Departments of Genetics and Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
                [bn ]Division of Neuropathology, Department of Pathology and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
                [bo ]Division of Pediatric Hematology-Oncology, University of Texas Southwestern Medical School, Dallas, TX, USA
                [bp ]Valley Children's Hospital, Madera, CA, USA
                [bq ]Department of Computational Biology, St Jude Children's Research Hospital, Memphis, TN, USA
                [br ]Department of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, TN, USA
                [bs ]Department of Oncology, St Jude Children's Research Hospital, Memphis, TN, USA
                [bt ]Department of Oncology and Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
                Author notes
                [* ]Correspondence to: Dr Stefan M Pfister, Hopp Children's Cancer Center at the NCT Heidelberg, Division of Pediatric Neurooncology, German Cancer Research Center, Heidelberg 69120, Germany s.pfister@ 123456kitz-heidelberg.de
                [*]

                Contributed equally as joint first authors

                [†]

                Contributed equally as joint senior authors

                Article
                S1470-2045(18)30242-0
                10.1016/S1470-2045(18)30242-0
                5984248
                29753700
                6b19c863-1471-43b9-ac36-87129a158e0a
                © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Oncology & Radiotherapy
                Oncology & Radiotherapy

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