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Record W2799574682 · doi:10.1016/s1470-2045(18)30242-0

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

2018· article· en· W2799574682 on OpenAlexafffundabout
Sebastian M. Waszak, Paul A. Northcott, Ivo Buchhalter, Giles Robinson, Christian Sutter, Susanne N. Groebner, Kerstin Grund, Laurence Brugières, David Jones, Kristian W. Pajtler, A. Sorana Morrissy, Marcel Kool, Dominik Sturm, Lukas Chávez, Aurélie Ernst, Sebastian Brabetz, M. Hain, Thomas Zichner, Maia Segura‐Wang, Joachim Weischenfeldt, Tobias Rausch, Balca R. Mardin, Xin Zhou, Cristina Baciu, Christian Lawerenz, Jennifer A. Chan, Pascale Varlet, Léa Guerrini‐Rousseau, Daniel W. Fults, Wiesława Grajkowska, Péter Hauser, Nada Jabado, Young‐Shin Ra, Karel Zitterbart, Suyash Shringarpure, Francisco M. De La Vega, Carlos D. Bustamante, Ho‐Keung Ng, Arie Perry, Tobey J. MacDonald, Pablo Hernáiz Driever, Anne Bendel, Daniel C. Bowers, Geoffrey McCowage, Murali Chintagumpala, Richard J. Cohn, Tim Hassall, Gudrun Fleischhack, Tone Eggen, Finn Wesenberg, Maria Feychting, Birgitta Lannering, Joachim Schüz, Christoffer Johansen, Tina Veje Andersen, Martin Röösli, Claudia E. Kuehni, Michael A. Grotzer, Kristina Kjærheim, Camelia Maria Monoranu, Tenley C. Archer, Elizabeth S. Duke, Scott L. Pomeroy, Shelagh Redmond, Stephan Frank, David Sumerauer, Wolfram Scheurlen, Marina Ryzhova, Till Milde, Christian P. Kratz, David Samuel, Jinghui Zhang, David A. Solomon, Marco A. Marra, Roland Eils, Claus R. Bartram, Katja von Hoff, Stefan Rutkowski, Vijay Ramaswamy, Richard J. Gilbertson, Andrey Korshunov, Michael D. Taylor, Peter Lichter, David Malkin, Amar Gajjar, Jan O. Korbel, Stefan M. Pfister

Bibliographic record

VenueThe Lancet Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCanada's Michael Smith Genome Sciences CentreBC Cancer AgencyUniversity of CalgaryMcGill UniversityUniversity of TorontoToronto General HospitalUniversity Health NetworkHospital for Sick Children
FundersNational Heart, Lung, and Blood InstituteStrategic Research CouncilCanadian Institutes of Health ResearchBrain Tumour ResearchNational Cancer InstituteFondation de l'Hôpital de Montréal pour enfantsBC Cancer FoundationLékařská fakulta, Masarykova univerzitaEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMasarykova UniverzitaNationales Centrum für Tumorerkrankungen HeidelbergGöteborgs UniversitetUniversitetet i OsloKarolinska InstitutetTerry Fox Research InstituteCancerfondenUniversität ZürichBundesministerium für Bildung und ForschungNorges ForskningsrådSemmelweis EgyetemBundesamt für GesundheitPediatric Brain Tumor FoundationDeutsche KrebshilfeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungBroad InstituteForskningsrådet om Hälsa, Arbetsliv och VälfärdUniversidad Nacional Autónoma de MéxicoPediatric Oncology Group of OntarioFH FoundationInstituto Mexicano del Seguro SocialColorado State UniversityBarncancerfondenOntario Institute for Cancer ResearchUniversity of MiamiEuropean Molecular Biology OrganizationUniversity of BernMinisterstvo Zdravotnictví Ceské RepublikyRockefeller UniversityMassachusetts Institute of TechnologyUniversität BaselNational Institutes of HealthChildren's Hospital FoundationJohn D. and Catherine T. MacArthur FoundationGenome CanadaGarron Family Cancer CentreEuropean CommissionSontag FoundationHospital for Sick ChildrenGenome British ColumbiaStrategiske ForskningsrådCancer Research UKWorld Health OrganizationDeutsche KinderkrebsstiftungUniversity of ChicagoUniversity of CaliforniaVetenskapsrådetEuropean Research CouncilV Foundation for Cancer ResearchGovernment of OntarioAlexander and Margaret Stewart TrustDeutsches Krebsforschungszentrum
KeywordsMedulloblastomaGenetic predispositionRetrospective cohort studyMedicineProspective cohort studyCohortClinical trialOncologyPediatricsInternal medicinePathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.377
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations394
Published2018
Admission routes3
Has abstractyes

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