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Abstract
To inform clinical trial design and real-world precision pediatric oncology practice, we classified diagnoses, assessed the landscape of mutations, and identified genomic variants matching trials in a large unselected institutional cohort of solid tumors patients sequenced at Dana-Farber / Boston Children’s Cancer and Blood Disorders Center. Tumors were sequenced with OncoPanel, a targeted next-generation DNA sequencing panel. Diagnoses were classified according to the International Classification of Diseases for Oncology (ICD-O-3.2). Over 6.5 years, 888 pediatric cancer patients with 95 distinct diagnoses had successful tumor sequencing. Overall, 33% (n = 289/888) of patients had at least 1 variant matching a precision oncology trial protocol, and 14% (41/289) were treated with molecularly targeted therapy. This study highlights opportunities to use genomic data from hospital-based sequencing performed either for research or clinical care to inform ongoing and future precision oncology clinical trials. Furthermore, the study results emphasize the importance of data sharing to define the genomic landscape and targeted treatment opportunities for the large group of rare pediatric cancers we encounter in clinical practice.
Mutation profiling of pediatric cancers can help determine treatment options, however, large-scale datasets are rare. Here, the authors describe an institutional application of targeted sequencing to pediatric solid tumours, and identify potential therapeutic implications for identified mutations.
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1 Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Boston, USA (GRID:grid.511177.4); Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
2 Dana-Farber Cancer Institute, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Broad Institute of MIT and Harvard, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623)
3 Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Boston, USA (GRID:grid.511177.4)
4 Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Boston Children’s Hospital, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
5 Dana-Farber Cancer Institute, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
6 Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Dana-Farber Cancer Institute, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Boston Children’s Hospital, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438); Brigham and Women’s Hospital, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
7 Brigham and Women’s Hospital, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
8 Boston Children’s Hospital, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
9 American Society of Clinical Oncology, Alexandria, USA (GRID:grid.427738.d) (ISNI:0000 0001 2323 5046)
10 National Cancer Institute, Bethesda, USA (GRID:grid.48336.3a) (ISNI:0000 0004 1936 8075)
11 Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Dana-Farber Cancer Institute, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Brigham and Women’s Hospital, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
12 Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Dana-Farber Cancer Institute, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Broad Institute of MIT and Harvard, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623)
13 Weill Cornell Medical College, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X)