SJPedPanel: A Pan-Cancer Gene Panel for Childhood Malignancies to Enhance Cancer Monitoring and Early Detection

Author:

Kolekar Pandurang1ORCID,Balagopal Vidya2ORCID,Dong Li1ORCID,Liu Yanling1ORCID,Foy Scott1ORCID,Tran Quang1ORCID,Mulder Heather1ORCID,Huskey Anna L.W.2ORCID,Plyler Emily1ORCID,Liang Zhikai1ORCID,Ma Jingqun2ORCID,Nakitandwe Joy3ORCID,Gu Jiali2ORCID,Namwanje Maria2ORCID,Maciaszek Jamie2ORCID,Payne-Turner Debbie2ORCID,Mallampati Saradhi2ORCID,Wang Lu2ORCID,Easton John1ORCID,Klco Jeffery M.2ORCID,Ma Xiaotu1ORCID

Affiliation:

1. Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee. 1

2. Department of Pathology, St. Jude Children’s Research Hospital, Memphis, Tennessee. 2

3. Department of Pathology and Laboratory Medicine, Diagnostics Institute, Cleveland Clinic, Cleveland, Ohio. 3

Abstract

Abstract Purpose: The purpose of the study was to design a pan-cancer gene panel for childhood malignancies and validate it using clinically characterized patient samples. Experimental Design: In addition to 5,275 coding exons, SJPedPanel also covers 297 introns for fusions/structural variations and 7,590 polymorphic sites for copy-number alterations. Capture uniformity and limit of detection are determined by targeted sequencing of cell lines using dilution experiment. We validate its coverage by in silico analysis of an established real-time clinical genomics (RTCG) cohort of 253 patients. We further validate its performance by targeted resequencing of 113 patient samples from the RTCG cohort. We demonstrate its power in analyzing low tumor burden specimens using morphologic remission and monitoring samples. Results: Among the 485 pathogenic variants reported in RTCG cohort, SJPedPanel covered 86% of variants, including 82% of 90 rearrangements responsible for fusion oncoproteins. In our targeted resequencing cohort, 91% of 389 pathogenic variants are detected. The gene panel enabled us to detect ∼95% of variants at allele fraction (AF) 0.5%, whereas the detection rate is ∼80% at AF 0.2%. The panel detected low-frequency driver alterations from morphologic leukemia remission samples and relapse-enriched alterations from monitoring samples, demonstrating its power for cancer monitoring and early detection. Conclusions: SJPedPanel enables the cost-effective detection of clinically relevant genetic alterations including rearrangements responsible for subtype-defining fusions by targeted sequencing of ∼0.15% of human genome for childhood malignancies. It will enhance the analysis of specimens with low tumor burdens for cancer monitoring and early detection.

Funder

National Institutes of Health

Fund for Innovation in Cancer Informatics

Publisher

American Association for Cancer Research (AACR)

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