Jack Brzezinski1,2,3, Sanaa Choufani3, Rodrigo Romao4, Cheryl Shuman5, Haiying Chen6, Joanna Cunanan7,8, Darius Bagli1,9, Ronald Grant2, Armando Lorenzo9, Rosanna Weksberg10,11,12. 1. Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada. 2. Department of Pediatrics, Division of Hematology and Oncology, Hospital for Sick Children, Toronto, ON, Canada. 3. Genetics and Genome Biology Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada. 4. Department of Surgery, IWK Hospital, Halifax, NS, Canada. 5. Department of Pediatrics, Division of Clinical Genetics, Hospital for Sick Children, Toronto, ON, Canada. 6. Department of Pediatric Laboratory Medicine, Hospital for Sick Children, Toronto, ON, Canada. 7. Medical Sciences Graduate Program, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada. 8. Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada. 9. Department of Surgery, Division of Urology, Hospital for Sick Children, Toronto, ON, Canada. 10. Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada. rweksb@sickkids.ca. 11. Genetics and Genome Biology Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada. rweksb@sickkids.ca. 12. Department of Surgery, IWK Hospital, Halifax, NS, Canada. rweksb@sickkids.ca.
Abstract
BACKGROUND: Although cure rates for Wilms tumours (WT) are high, many patients receive therapy with attendant long-term complications. Our goal was to stratify WT using genome-wide analyses to identify candidate molecular features for patients who would benefit from a reduction in therapy. METHODS: We generated DNA methylation and exome sequencing data on WT-kidney pairs (n = 57) and unpaired tumours (n = 27) collected either at our centre or by the Children's Oncology Group. Samples were divided into a discovery set (n = 32) and validation set (n = 52). RESULTS: Analysis of DNA methylation revealed two subgroups of WT with distinct features. Subgroup A has a similar DNA methylation profile to mature kidney, while Subgroup B has genome-wide dysregulation of DNA methylation. The rate of non-synonymous missense mutations and segmental chromosomal aberrations was higher in Subgroup B tumours, suggesting that this group has genome instability related to its epigenetic state. Subgroup A had a higher proportion of cases of bilateral disease. Tumours with high-risk histology or from patients who relapsed were only found in Subgroup B. CONCLUSION: We have identified subgroup-specific molecular events that could inform future work supporting more targeted therapeutic approaches and patient stratification. We propose a novel developmental tumour model based on these findings.
BACKGROUND: Although cure rates for Wilms tumours (WT) are high, many patients receive therapy with attendant long-term complications. Our goal was to stratify WT using genome-wide analyses to identify candidate molecular features for patients who would benefit from a reduction in therapy. METHODS: We generated DNA methylation and exome sequencing data on WT-kidney pairs (n = 57) and unpaired tumours (n = 27) collected either at our centre or by the Children's Oncology Group. Samples were divided into a discovery set (n = 32) and validation set (n = 52). RESULTS: Analysis of DNA methylation revealed two subgroups of WT with distinct features. Subgroup A has a similar DNA methylation profile to mature kidney, while Subgroup B has genome-wide dysregulation of DNA methylation. The rate of non-synonymous missense mutations and segmental chromosomal aberrations was higher in Subgroup Btumours, suggesting that this group has genome instability related to its epigenetic state. Subgroup A had a higher proportion of cases of bilateral disease. Tumours with high-risk histology or from patients who relapsed were only found in Subgroup B. CONCLUSION: We have identified subgroup-specific molecular events that could inform future work supporting more targeted therapeutic approaches and patient stratification. We propose a novel developmental tumour model based on these findings.
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