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Article|Articles in Press, 100875

A clinical screening tool to detect genetic cancer predisposition in pediatric oncology shows high sensitivity but can miss a substantial percentage of affected children

  • Ulrike Anne Friedrich
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany

    DRESDEN-concept Genome Center, Technology Platform at the Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Dresden, Germany

    German Center for Diabetes Research (DZD e.V.), 85764 Neuherberg, Germany; Paul Langerhans Institute Dresden of the Helmholtz Center Munich, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
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  • Marc Bienias
    Affiliations
    Technical University of Munich, Germany; School of Medicine; Department of Pediatrics, 80804 Munich, Germany
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  • Claudia Zinke
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany
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  • Maria Prazenicova
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany
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  • Judith Lohse
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany
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  • Arne Jahn
    Affiliations
    Institute for Clinical Genetics, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany, ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Germany; National Center for Tumor Diseases Dresden (NCT/UCC), Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
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  • Maria Menzel
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany
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  • Jonas Langanke
    Affiliations
    Pediatric Hematology and Oncology, Department of Pediatrics, University Hospital "Carl Gustav Carus", TU Dresden, 01307 Dresden, Germany
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  • Carolin Walter
    Affiliations
    Institute of Medical Informatics, University of Muenster, 48149 Muenster, Germany
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  • Rabea Wagener
    Affiliations
    Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine University Duesseldorf, Medical Faculty, Duesseldorf, Germany
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  • Triantafyllia Brozou
    Affiliations
    Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine University Duesseldorf, Medical Faculty, Duesseldorf, Germany
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  • Julian Varghese
    Affiliations
    Institute of Medical Informatics, University of Muenster, 48149 Muenster, Germany
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  • Martin Dugas
    Affiliations
    Institute of Medical Informatics, University of Muenster, 48149 Muenster, Germany

    Institute of Medical Informatics, Heidelberg University Hospital, 69120 Heidelberg, Germany
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  • Miriam Erlacher
    Affiliations
    Department of Pediatrics and Adolescent Medicine, Division of Pediatric Hematology and Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany
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  • Evelin Schröck
    Affiliations
    Institute for Clinical Genetics, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany, ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Germany; National Center for Tumor Diseases Dresden (NCT/UCC), Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany

    Max Planck Institute of Molecular Cell Biology and Genetics, Dresden; Germany
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  • Meinolf Suttorp
    Affiliations
    Pediatric Hematology and Oncology, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, 01307 Dresden, Germany
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  • Arndt Borkhardt
    Affiliations
    Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine University Duesseldorf, Medical Faculty, Duesseldorf, Germany
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  • Author Footnotes
    ∗ shared contribution
    Julia Hauer
    Correspondence
    Correspondence and requests: Kölner Platz 1, 80804 München, Germany
    Footnotes
    ∗ shared contribution
    Affiliations
    Technical University of Munich, Germany; School of Medicine; Department of Pediatrics, 80804 Munich, Germany
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  • Author Footnotes
    ∗ shared contribution
    Franziska Auer
    Correspondence
    Correspondence and requests: Kölner Platz 1, 80804 München, Germany
    Footnotes
    ∗ shared contribution
    Affiliations
    Technical University of Munich, Germany; School of Medicine; Department of Pediatrics, 80804 Munich, Germany
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  • Author Footnotes
    ∗ shared contribution
Open AccessPublished:May 03, 2023DOI:https://doi.org/10.1016/j.gim.2023.100875
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      Abstract

      Purpose

      Clinical checklists are the standard of care to determine whether a child with cancer shows indications for genetic testing. Nevertheless, the efficacy of these tests to reliably detect genetic cancer predisposition in children with cancer is still insufficiently investigated.

      Methods

      We assessed the validity of clinically recognizable signs to identify cancer predisposition by correlating a state-of-the-art clinical checklist to the corresponding exome sequencing analysis in an unselected single-center cohort of 139 child-parent datasets.

      Results

      In total, 1/3rd of patients had a clinical indication for genetic testing according to current recommendations and 10.1% (n=14/139) of children harbored a cancer predisposition. Out of these, 71.4% (n=10/14) were identified through the clinical checklist. In addition, >2 clinical findings in the checklist increased the likelihood to identifying genetic predisposition from 12.5% to 50%. While our data revealed a high rate of genetic predisposition (40%, n=4/10) in Myelodysplastic Syndrome cases, no (likely) pathogenic variants were identified in the sarcoma and lymphoma group.

      Conclusion

      In summary, our data shows high checklist sensitivity, particular to identify childhood cancer predisposition syndromes. Nevertheless, the here employed checklist also missed 29% of children with a cancer predisposition, highlighting the drawbacks of sole clinical evaluation and underlining the need for routine germline sequencing in pediatric oncology.

      Keywords