Development of a targeted sequencing approach to identify prognostic, predictive and diagnostic markers in paediatric solid tumours
Elisa IzquierdoiD, Lina YuaniD, Sally L. GeorgeiD, Michael J.F. HubankiD, Chris JonesiD, Paula ProszekiD, JANET M. SHIPLEYiD, Susanne A. GatziD, Caedyn L. StinsoniD, Andrew S. MooreiD, Steven C. CliffordiD, Debbie HicksiD, Janet C. LindseyiD, Rebecca M. HilliD, Thomas S. JacquesiD, Jane ChalkeriD, Khin ThwayiD, Simon O’Connor, Lynley V. MarshalliD, Lucas MorenoiD, Andrew D.J. PearsoniD, Louis ChesleriD, Brian A. WalkeriD, David González de CastroiD
Abstract
The implementation of personalised medicine in childhood cancers has been limited by a lack of clinically validated multi-target sequencing approaches specific for paediatric solid tumours. In order to support innovative clinical trials in high-risk patients with unmet need, we have developed a clinically relevant targeted sequencing panel spanning 311 kb and comprising 78 genes involved in childhood cancers. A total of 132 samples were used for the validation of the panel, including Horizon Discovery cell blends (n=4), cell lines (n=15), formalin-fixed paraffin embedded (FFPE, n=83) and fresh frozen tissue (FF, n=30) patient samples. Cell blends containing known single nucleotide variants (SNVs, n=528) and small insertion-deletions (indels n=108) were used to define panel sensitivities of [≥]98% for SNVs and [≥]83% for indels [95% CI] and panel specificity of [≥]98% [95% CI] for SNVs. FFPE samples performed comparably to FF samples (n=15 paired). Of 95 well-characterised genetic abnormalities in 33 clinical specimens and 13 cell lines (including SNVs, indels, amplifications, rearrangements and chromosome losses), 94 (98.9%) were detected by our approach. We have validated a robust and practical methodology to guide clinical management of children with solid tumours based on their molecular profiles. Our work demonstrates the value of targeted gene sequencing in the development of precision medicine strategies in paediatric oncology.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 21
- FWCI
- 0.55
- Field percentile
- top 41%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Clinical criteria for genetic testing in pediatric oncology show a low specificity and miss every 4th child carrying a cancer predisposition
Ulrike Anne Friedrich, Marc Bienias, … Franziska Auer·medRxiv·Oct 22, 2022
- Integrating genomics into clinical pediatric oncology using the molecular tumor board at the Memorial Sloan Kettering Cancer Center
Michael V. Ortiz, Rachel Kobos, … Alex Kentsis·bioRxiv·Feb 22, 2016
- Prevalence and Clinical Significance of Adult-Onset Cancer Predisposition Variants in Pediatric Oncology
Jamie L. Maciaszek, Victor Pastor Loyola, … Mohammad K. Eldomery·medRxiv·Jun 8, 2026
- Comparative analysis of RNA expression in a single institution cohort of pediatric cancer patients
Yvonne A. Vasquez, Holly C. Beale, … Olena M. Vaske·npj Precision OncologyPeer-reviewed·Mar 21, 2025
- A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer
C. L. Cario, E. Chen, … J. S. Witte·BMC CancerPeer-reviewed·Dec 1, 2020
- Accuracy and Reproducibility of Somatic Point Mutation Calling in Clinical-Type Targeted Sequencing Data
Ali Karimnezhad, Gareth Palidwor, … Theodore J. Perkins·BMC Medical GenomicsPeer-reviewed·Oct 15, 2020