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Diagnostic yield and clinical impact of germline sequencing in children with CNS and extracranial solid tumors - a nationwide, prospective Swedish study
Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden.;Karolinska Univ Hosp, Clin Genet & Genom, Solna, Sweden.;Karolinska Inst, Ctr Hematol & Regenerat Med, Dept Med, Stockholm, Sweden.;Karolinska Univ Hosp, Dept Clin Genet & Genom, S-17176 Stockholm, Sweden..
KTH, School of Biotechnology (BIO), Centres, KTH Genome Center. KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology.ORCID iD: 0000-0003-3811-5439
Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden.;Karolinska Univ Hosp, Clin Genet & Genom, Solna, Sweden.;Sahlgrens Univ Hosp, Dept Clin Genet & Genom, Gothenburg, Sweden.;Univ Gothenburg, Inst Biomed, Sahlgrenska Acad, Dept Lab Med, Gothenburg, Sweden.;Karolinska Univ Hosp, Genom Med Ctr Karolinska, Stockholm, Sweden.;Karolinska Inst, Dept Mol Med & Surg, S-17176 Stockholm, Sweden..
Number of Authors: 492024 (English)In: The Lancet Regional Health: Europe, E-ISSN 2666-7762, Vol. 39, article id 100881Article in journal (Refereed) Published
Abstract [en]

Background Childhood cancer predisposition (ChiCaP) syndromes are increasingly recognized as contributing factors to childhood cancer development. Yet, due to variable availability of germline testing, many children with ChiCaP might go undetected today. We report results from the nationwide and prospective ChiCaP study that investigated diagnostic yield and clinical impact of integrating germline whole-genome sequencing (gWGS) with tumor sequencing and systematic phenotyping in children with solid tumors. Methods gWGS was performed in 309 children at diagnosis of CNS (n = 123, 40%) or extracranial (n = 186, 60%) solid tumors and analyzed for disease -causing variants in 189 known cancer predisposing genes. Tumor sequencing data were available for 74% (227/309) of patients. In addition, a standardized clinical assessment for underlying predisposition was performed in 95% (293/309) of patients. Findings The prevalence of ChiCaP diagnoses was 11% (35/309), of which 69% (24/35) were unknown at inclusion (diagnostic yield 8%, 24/298). A second -hit and/or relevant mutational signature was observed in 19/21 (90%) tumors with informative data. ChiCaP diagnoses were more prevalent among patients with retinoblastomas (50%, 6/12) and high-grade astrocytomas (37%, 6/16), and in those with non -cancer related features (23%, 20/88), and >= 2 positive ChiCaP criteria (28%, 22/79). ChiCaP diagnoses were autosomal dominant in 80% (28/35) of patients, yet con fi rmed de novo in 64% (18/28). The 35 ChiCaP fi ndings resulted in tailored surveillance (86%, 30/35) and treatment recommendations (31%, 11/35). Interpretation Overall, our results demonstrate that systematic phenotyping, combined with genomics-based diagnostics of ChiCaP in children with solid tumors is feasible in large-scale clinical practice and critically guides personalized care in a sizable proportion of patients.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 39, article id 100881
Keywords [en]
Childhood cancer predisposition, Whole-genome sequencing, Germline variants, Somatic mutations
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:kth:diva-347911DOI: 10.1016/j.lanepe.2024.100881ISI: 001234444700001PubMedID: 38803632Scopus ID: 2-s2.0-85188909470OAI: oai:DiVA.org:kth-347911DiVA, id: diva2:1871567
Note

QC 20240617

Available from: 2024-06-17 Created: 2024-06-17 Last updated: 2024-06-17Bibliographically approved

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Wirta, Valtteri

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