Evidence map›Paper›PMID 41957380›Full record

ArticleNPJ genomic medicine2026

Proof-of-concept study for the detection of somatic structural variant driver alterations using HiFi long-read sequencing in a pediatric leukemia cohort.

Lisa A Lansdon, Byunggil Yoo, Ayse Keskus, Irina Pushel, Chengpeng Bi, Tanveer Ahmad, Asher Bryant, Adam Walter, Margaret Gibson, Mary Rindler and 16 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Lisa A LansdonDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Byunggil YooDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Ayse KeskusCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Irina PushelGenomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA.
Chengpeng BiDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Tanveer AhmadCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Asher BryantCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Adam WalterGenomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO, USA.
Margaret GibsonDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Mary RindlerDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Weijie LiDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Sultan M HabeebuDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Linda D CooleyDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
John HerrigesDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Elena RepnikovaDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Lei ZhangDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Keith J AugustDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Terrie G FlattDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Alan S GamisDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Erin M GuestDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
J Allyson HaysDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Maxine HetheringtonDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Karen LewingDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Tomi PastinenDepartments of Pathology and Pediatrics, University of Missouri Kansas City - School of Medicine, Kansas City, MO, USA.
Mikhail KolmogorovCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Midhat S FarooqiDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO, USA. midhatsf@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort. We show that this methodology successfully determined all known crSVs (n = 5/5) detected through routine clinical testing. This approach also identified crSVs that resulted in the classification of a leukemia genetic subtype for four additional patients (n = 4/12), such as an ins(11;10)(q23.3;p12p12) forming a KMT2A::MLLT10 fusion, that were missed by routine clinical approaches. This study demonstrates the diagnostic potential of lrSeq as an assay for SV detection in pediatric leukemia and supports lrSeq as a valuable tool for the accurate detection of crSVs.

Identifiers

PMID41957380
PMCPMC13243536

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.