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Comparison of clinical selection-based genetic testing with phenotype-agnostic extensive germline sequencing to diagnose genetic predisposition in children with cancer: a prospective diagnostic study.
Bakhuizen, Jette J; van Dijk, Freerk; Koudijs, Marco J; Bladergroen, Reno S; Bon, Sebastian B B; Hopman, Saskia M J; Kester, Lennart A; Kranendonk, Mariëtte E G; Loeffen, Jan L C; Smetsers, Stephanie E; Sonneveld, Edwin; Tachdjian, Melissa; de Vos-Kerkhof, Evelien; Goudie, Catherine; Merks, Johannes H M; Kuiper, Roland P; Jongmans, Marjolijn C J.
Afiliação
  • Bakhuizen JJ; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands; Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • van Dijk F; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Koudijs MJ; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Bladergroen RS; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Bon SBB; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Hopman SMJ; Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Kester LA; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Kranendonk MEG; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Loeffen JLC; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Smetsers SE; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Sonneveld E; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Tachdjian M; Research Institute of the McGill University Health Centre, Child Health and Human Development Program, Montreal, QC, Canada.
  • de Vos-Kerkhof E; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
  • Goudie C; Research Institute of the McGill University Health Centre, Child Health and Human Development Program, Montreal, QC, Canada; Department of Pediatrics, Division of Hematology-Oncology, McGill University Health Centre, Montreal, QC, Canada.
  • Merks JHM; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Kuiper RP; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands; Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Jongmans MCJ; Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands; Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands. Electronic address: m.c.j.jongmans-3@umcutrecht.nl.
Article em En | MEDLINE | ID: mdl-39159644
ABSTRACT

BACKGROUND:

Germline data have become widely available in paediatric oncology since the introduction of paired tumour-germline sequencing. To guide best practice in cancer predisposition syndrome (CPS) diagnostics, we aimed to assess the diagnostic yield of extensive germline analysis compared with clinical selection-based genetic testing among all children with cancer.

METHODS:

In this prospective diagnostic study, all children (aged 0-19 years) with newly diagnosed neoplasms treated in the Netherlands national centre, the Princess Máxima Center for Pediatric Oncology (Utrecht, Netherlands), between June 1, 2020, and July 31, 2022, were offered two approaches to identify CPSs. In a phenotype-driven approach, paediatric oncologists used the McGill Interactive Pediatric OncoGenetic Guidelines tool to select children for referral to a clinical geneticist, and for genetic testing. In a phenotype-agnostic approach, CPS gene panel sequencing (143 genes) was offered to all children. In children declining the research CPS gene panel, 49 CPS genes were still analysed as part of routine diagnostics by the pathologist. Children with a causative CPS identified before neoplasm diagnosis were excluded. The primary objective was to compare the number and type of patients diagnosed with a CPS between the two approaches.

FINDINGS:

1052 children were eligible for this study, of whom 733 (70%) completed both the phenotype-driven approach and received phenotype-agnostic CPS gene panel sequencing (143 genes n=600; 49 genes n=133). In 53 children, a CPS was identified 14 (26%) were diagnosed by the phenotype-driven approach only, 22 (42%) by CPS gene sequencing only, and 17 (32%) by both approaches. In 27 (51%) of the 53 children, the identified CPS was considered causative for the child's neoplasm. Only one (4%) of the 27 causative CPSs was missed by the phenotype-driven approach and was identified solely by phenotype-agnostic CPS gene sequencing. In 26 (49%) children, a CPS with uncertain causality was identified, including 14 adult-onset CPSs. The CPSs with uncertain causality were mainly detected by the phenotype-agnostic approach (21 [81%] of 26).

INTERPRETATION:

Phenotype-driven genetic testing and phenotype-agnostic CPS gene panel sequencing were complementary. The phenotype-driven approach identified the most causative CPSs. CPS gene panel sequencing identified additional CPSs, many of those with uncertain causality, but some with clinical utility. We advise clinical evaluation for CPSs in all children with neoplasms. Phenotype-agnostic testing of all CPS genes is preferably conducted only in research settings and should be paired with counseling.

FUNDING:

Stichting Kinderen Kankervrij.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Lancet Child Adolesc Health Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Lancet Child Adolesc Health Ano de publicação: 2024 Tipo de documento: Article