Evidence map›Paper›PMID 40128561›Full record

ArticleLeukemia2025

Real-time genomic characterization of pediatric acute leukemia using adaptive sampling.

Julie Geyer, Kofi B Opoku, John Lin, Lori Ramkissoon, Charles Mullighan, Nickhill Bhakta, Thomas B Alexander, Jeremy R Wang

Abstract read
In one paragraph

Article in Leukemia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed.

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  17. Total whole-arm chromosome losses predict malignancy in human cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Julie GeyerDepartment of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-9579-379X
Kofi B OpokuDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
John LinDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lori RamkissoonDepartment of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Charles MullighanDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0002-1871-1850
Nickhill BhaktaDepartment of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID 0000-0001-5282-7833
Thomas B AlexanderDepartment of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. talex@email.unc.edu.ORCID 0000-0002-0484-1574
Jeremy R WangDepartment of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. jeremy_wang@med.unc.edu.ORCID 0000-0002-0673-9418

Funding

Characterization of Diverse Pediatric Cancers in LMIC Using Low-Cost Nanopore SequencingR01CA293366 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Thomas Blick Alexander, Jeremy R Wang · 2024 to 2026
$3.0M
Predoctoral Training Program in Bioinformatics and Computational BiologyT32GM135123 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, William Valdar · 2021 to 2026
$1.7M
NCI NIH HHS R01 CA293366NIGMS NIH HHS T32 GM135123U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA293366
6 · The paper itself

Abstract

Effective treatment of pediatric acute leukemia is dependent on accurate genomic classification, typically derived from a combination of multiple time-consuming and costly techniques such as flow cytometry, fluorescence in situ hybridization (FISH), karyotype analysis, targeted PCR, and microarrays [1-3]. We investigated the feasibility of a comprehensive single-assay classification approach using long-read sequencing, with real-time genome target enrichment, to classify chromosomal abnormalities and structural variants characteristic of acute leukemia. We performed whole genome sequencing on DNA from diagnostic peripheral blood or bone marrow for 57 pediatric acute leukemia cases with diverse genomic subtypes. We demonstrated the characterization of known, clinically relevant karyotype abnormalities and structural variants concordant with standard-of-care clinical testing. Subtype-defining genomic alterations were identified in all cases following a maximum of 48 h of sequencing. In 18 cases, we performed real-time analysis- concurrent with sequencing-and identified the driving alteration in as little as 15 min (for karyotype) or up to 6 h (for complex structural variants). Whole genome nanopore sequencing with adaptive sampling has the potential to provide genomic classification of acute leukemia specimens with reduced cost and turnaround time compared to the current standard of care.

Indexed as

Chromosome AberrationsGenomicsLeukemiaLeukemia, Myeloid, AcutePrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolFemaleHumansInfantKaryotypingMaleWhole Genome Sequencing

Identifiers

PMID40128561
PMCPMC12055598

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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.