Evidence map›Paper›PMID 36848637›Full record

ArticleBlood advances2023

Classification and genetics of pediatric B-other acute lymphoblastic leukemia by targeted RNA sequencing.

Natacha Azussa Migita, Patrícia Yoshioka Jotta, Natália Paiva do Nascimento, Victor Sande Vasconcelos, Gabriel Lopes Centoducatte, Katlin Brauer Massirer, Amilcar Cardoso de Azevedo, Silvia Regina Brandalise, José Andrés Yunes

Abstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Challenging the prognostic expectations: a rare case ofBlood science (Baltimore, Md.) · 2025
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. B Lineage Acute Lymphoblastic Leukemia with concurrentIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
  14. Frontiers in oncology · 2025
    Article
  15. Article
  16. Review
  17. Acute lymphoblastic leukaemia.Nature reviews. Disease primers · 2024
    Review
  18. Cancers · 2024
    Article
  19. Article
  20. Biomedicines · 2024
    Review
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

9 authors.

Natacha Azussa MigitaCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0002-1326-3841
Patrícia Yoshioka JottaCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0001-9820-8210
Natália Paiva do NascimentoCentro Infantil Boldrini, Campinas, Brazil.ORCID 0009-0007-0511-2131
Victor Sande VasconcelosCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0002-6134-067X
Gabriel Lopes CentoducatteCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0001-8892-2680
Katlin Brauer MassirerCenter for Medicinal Chemistry (CQMED), Center for Molecular Biology and Genetic Engineering (CBMEG), State University of Campinas (UNICAMP), Campinas, Brazil.ORCID 0000-0001-6390-2560
Amilcar Cardoso de AzevedoCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0002-8293-6448
Silvia Regina BrandaliseCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0003-3696-9852
José Andrés YunesCentro Infantil Boldrini, Campinas, Brazil.ORCID 0000-0002-1316-3525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) can be classified into different subgroups based on recurrent genetic alterations. Here, targeted RNA sequencing was used to identify the novel subgroups of ALL in 144 B-other and 40 "classical" ALL samples. The classical TCF3-PBX1, ETV6-RUNX1, KMT2A-rearranged, and BCR-ABL1, and novel P2RY8-CRLF2, ABL-, JAK2-, ZNF384-, MEF2D-, and NUTM1-fusions were easily identified by fusion transcript analysis. IGH-CRLF2 and IGH-EPOR were found by abnormally high levels of expression of CRLF2 or EPOR. DUX4-rearranged was identified by the unusual expression of DUX4 genes and an alternative exon of ERG, or by clustering analysis of gene expression. PAX5-driven ALL, including fusions, intragenic amplifications, and mutations were identified by single-nucleotide variant analysis and manual inspection using the IGV software. Exon junction analysis allowed detection of some intragenic ERG and IKZF1 deletions. CRLF2-high associated with initial white blood cell (WBC) counts of ≥50 × 103/μL and GATA3 risk alleles (rs3781093 and rs3824662), whereas ABL/JAK2/EPOR-fusions associated with high WBC counts, National Cancer Institute's high-risk classification, and IKZF1del. ZNF384-fusions associated with CALLA-negativity and NUTM1-fusions in infants. In conclusion, targeted RNA sequencing further classified 66.7% (96 of 144) B-other ALL cases. All BCP-ALL subgroups, except for iAMP21, hyperdiploid and hypodiploid cases, were identified. Curiously, we observed higher frequencies of females within B-rest ALLs and males in PAX5-driven cases.

Indexed as

Precursor Cell Lymphoblastic Leukemia-LymphomaBase SequenceChildChromosome AberrationsFemaleHumansInfantMaleMutationSequence Analysis, RNA

Identifiers

PMID36848637
PMCPMC10320209

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.