Evidence map›Paper›PMID 39047169›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

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

Pandurang Kolekar, Vidya Balagopal, Li Dong, Yanling Liu, Scott Foy, Quang Tran, Heather Mulder, Anna L W Huskey, Emily Plyler, Zhikai Liang and 11 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Pandurang Kolekar *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-0044-0076
Vidya Balagopal *Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-8630-7414
Li Dong *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-7222-1900
Yanling LiuDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-4244-2742
Scott FoyDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0009-0004-0196-1951
Quang TranDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0009-0004-6314-3903
Heather MulderDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-2024-9498
Anna L W HuskeyDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-8801-2836
Emily PlylerDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-2642-1674
Zhikai LiangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-9963-8631
Jingqun MaDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-0079-6323
Joy NakitandweDepartment of Pathology and Laboratory Medicine, Diagnostics Institute, Cleveland Clinic, Cleveland, Ohio.ORCID 0000-0003-4648-0356
Jiali GuDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0009-0009-8234-2445
Maria NamwanjeDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-0727-0834
Jamie MaciaszekDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-9217-5638
Debbie Payne-TurnerDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0009-0006-3972-4403
Saradhi MallampatiDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0009-0004-1230-9942
Lu WangDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-0073-0666
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-4503-6608
Jeffery M KlcoDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-2961-6960
Xiaotu MaDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-6233-2145

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Tracking Therapy-Resistant Alterations in Childhood Acute Lymphoblastic LeukemiaR01CA273326 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Xiaotu Ma · 2022 to 2026
$2.1M
Childhood Hematological Malignancies Training ProgramT32CA236748 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Charles G Mullighan · 2019 to 2026
$2.0M
Fund for Innovation in Cancer Informatics (ICI)National Institutes of Health (NIH) CA273326National Institutes of Health (NIH) P30CA021765NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA273326NCI NIH HHS T32 CA236748
6 · The paper itself

Abstract

purposeThe purpose of the study was to design a pan-cancer gene panel for childhood malignancies and validate it using clinically characterized patient samples. EXPERIMENTAL

designIn 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.

resultsAmong 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.

conclusionsSJPedPanel 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.

Indexed as

Early Detection of CancerNeoplasmsAdolescentBiomarkers, TumorChildChild, PreschoolDNA Copy Number VariationsFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMaleBiomarkers, Tumor

Identifiers

PMID39047169
PMCPMC11393547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.