Evidence map›Paper›PMID 39975890›Full record

ArticleResearch square2025

Integrated Whole Genome and Transcriptome Sequencing as a Framework for Pediatric and Adolescent AML Diagnosis and Risk Assessment.

Lu Wang, Rebecca Voss, Victor Pastor, Maria Cardenas, Priyadarshini Kumar, Jamie Maciaszek, Maria Namwanje, Jing Ma, Jennifer Neary, Meiling Jin and 19 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

29 authors.

Lu WangSt Jude Children's Research Hospital.ORCID 0000-0002-0073-0666
Rebecca VossSt. Jude Children's Research Hospital.ORCID 0009-0009-0696-439X
Victor PastorSt. Jude Children's Research Hospital.
Maria CardenasSt. Jude Children's Research Hospital.
Priyadarshini KumarSt. Jude Children's Research Hospital.
Jamie MaciaszekSt Jude Children's Research Hospital.
Maria NamwanjeSt. Jude Children's Research Hospital.
Jing MaSt. Jude Children's Research Hospital.
Jennifer NearySt. Jude Children's Research Hospital.
Meiling JinSt. Jude Children's Research Hospital.
Masayuki UmedaSt. Jude Children's Research Hospital.
Mark WilkinsonSt. Jude Children's Research Hospital.
Debbie Payne-TurnerSt. Jude Children's Research Hospital.
Mohammad EldomerySt. Jude Children's Research Hospital.
Jingqun MaSt. Jude Children's Research Hospital.
Jiali GuSt Jude Children's Research Hospital.
James DaltonSt. Jude Children's Research Hospital.
Samantha MeltonSt. Jude Children's Research Hospital.
Yen-Chun LiuSt. Jude Children's Research Hospital.
Scott FoySt. Jude Children's Research Hospital.
Michael RuschSt. Jude Children's Research Hospital.ORCID 0000-0002-5363-1848
David WheelerSt. Jude Children's Research Hospital.
Jinghui ZhangSt. Jude Children's Research Hospital.ORCID 0000-0003-3350-9682
Kim NicholsSt. Jude Children's Research Hospital.ORCID 0000-0002-5581-6555
Seth KarolSt. Jude Children's Research Hospital.ORCID 0000-0001-8113-8180
Hiroto InabaSt. Jude Children's Research Hospital.ORCID 0000-0003-0605-7342
Raul RibeiroSt. Jude Children's Hospital.ORCID 0000-0002-9956-5647
Jeffrey RubnitzSt. Jude Children's Research Hospital.
Jeffery KlcoSt. Jude Children's Research Hospital.ORCID 0000-0003-2961-6960

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
UBTF Tandem Duplications in Pediatric Acute Myeloid LeukemiaR01CA276079 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Jeffery M Klco · 2023 to 2026
$1.6M
NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA276079
6 · The paper itself

Abstract

Pediatric acute myeloid leukemia (AML) exhibits distinct genetic characteristics, including unique driver alterations and mutations with prognostic and therapeutic significance. Emerging rare, recurrent genetic abnormalities and their associations with outcomes emphasize the need for high-throughput molecular diagnostic tools. Whole genome sequencing (WGS) reliably detects key AML biomarkers such as structural variants, mutations, and copy number alterations. Whole transcriptome sequencing (WTS) complements WGS by uncovering oncogene expression patterns, allele-specific expression, and gene expression signatures. In this study, we describe an integrated WGS and WTS clinical workflow for routine pediatric AML diagnosis and present a systematic evaluation of its application compared to conventional cytogenetics and standard molecular diagnostic methods. Our findings demonstrate that the integrated WGS and WTS (iWGS-WTS) approach improves the identification of clinically relevant genetic alterations, enhancing precise disease classification and risk assessment. Moreover, with advancements in workflow and bioinformatics pipelines, the testing turnaround time can be optimized to meet the demands of clinical decision-making, positioning iWGS-WTS as a practical and superior alternative to traditional diagnostic methods in pediatric AML management.

Indexed as

AMLWhole genome sequencingWhole transcriptome sequencing

Identifiers

PMID39975890
PMCPMC11838756

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Registered trials

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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.