Evidence map›Paper›PMID 37981088›Full record

ArticleThe Journal of molecular diagnostics : JMD2024

Transcriptome Sequencing Allows Comprehensive Genomic Characterization of Pediatric B-Acute Lymphoblastic Leukemia in an Academic Clinical Laboratory.

Zunsong Hu, Alexandra E Kovach, Venkata Yellapantula, Dejerianne Ostrow, Andrew Doan, Jianling Ji, Ryan J Schmidt, Zhaohui Gu, Deepa Bhojwani, Gordana Raca

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Zunsong HuDepartment of Computational and Quantitative Medicine and Systems Biology, Beckman Research Institute of City of Hope, Duarte, California.
Alexandra E KovachDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Venkata YellapantulaDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Dejerianne OstrowDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Andrew DoanChildren's Center for Cancer and Blood Diseases, Children's Hospital Los Angeles, Los Angeles, California.
Jianling JiDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Ryan J SchmidtDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Zhaohui GuDepartment of Computational and Quantitative Medicine and Systems Biology, Beckman Research Institute of City of Hope, Duarte, California. Electronic address: zgu@coh.org.
Deepa BhojwaniChildren's Center for Cancer and Blood Diseases, Children's Hospital Los Angeles, Los Angeles, California.
Gordana RacaDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California. Electronic address: graca@chla.usc.edu.
Children's Hospital of Los Angeles · USCity of Hope · US

Funding

Characterization of novel subtypes in B progenitor acute lymphoblastic leukemiaR00CA241297 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GU, ZHAOHUI · 2020 to 2022
$747k
Characterization of novel subtypes in B progenitor acute lymphoblastic leukemiaK99CA241297 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GU, ZHAOHUI · 2019 to 2019
$90k
NCI NIH HHS K99 CA241297NCI NIH HHS R00 CA241297
6 · The paper itself

Abstract

Studies have shown the power of transcriptome sequencing [RNA sequencing (RNA-Seq)] in identifying known and novel oncogenic drivers and molecular subtypes of B-acute lymphoblastic leukemia (B-ALL). The current study investigated whether the clinically validated RNA-Seq assay, coupled with a custom analysis pipeline, could be used for a comprehensive B-ALL classification. Following comprehensive clinical testing, RNA-Seq was performed on 76 retrospective B-ALL cases, 28 of which had known and 48 had undetermined subtype. Subtypes were accurately identified in all 28 known cases, and in 38 of 48 unknown cases (79%). The subtypes of the unknown cases included the following: PAX5alt (n = 12), DUX4-rearranged (n = 6), Philadelphia chromosome-like (n = 5), low hyperdiploid (n = 4), ETV6::RUNX1-like (n = 3), MEF2D-rearranged (n = 2), PAX5 P80R (n = 2), ZEB2/CEBP (n = 1), NUTM1-rearranged (n = 1), ZNF384-rearranged (n = 1), and TCF3::PBX1 (n = 1). In 15 of 38 cases (39%), classification based on expression profile was corroborated by detection of subtype-defining oncogenic drivers missed by clinical testing. RNA-Seq analysis also detected large copy number abnormalities, oncogenic hot-spot sequence variants, and intragenic IKZF1 deletions. This pilot study confirms the feasibility of implementing an RNA-Seq workflow for clinical diagnosis of molecular subtypes in pediatric B-ALL, reinforcing that RNA-Seq represents a promising global genomic assay for this heterogeneous leukemia.

Indexed as

Precursor Cell Lymphoblastic Leukemia-LymphomaTranscriptomeChildGenomicsHumansLaboratories, ClinicalOncogene Proteins, FusionPilot ProjectsRetrospective StudiesOncogene Proteins, Fusion

Identifiers

PMID37981088
PMCPMC10773144
OpenAlexW4388790805

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.