Trial reportHaematologica2013
Genes commonly deleted in childhood B-cell precursor acute lymphoblastic leukemia: association with cytogenetics and clinical features.
Trial report in Haematologica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
78 citing papers in PubMed, 1 synthesis or guideline pooled it, 158 citations in OpenAlex.
- Prognostic significance of CDKN2A/B deletions in acute lymphoblastic leukaemia: a meta-analysis.Annals of medicine · 2019Pooled it
- Genotype-Specific Minimal Residual Disease Interpretation Improves Stratification in Pediatric Acute Lymphoblastic Leukemia.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018Trial
- Timing of microbial exposure and risk of infection-promoted acute lymphoblastic leukemia.Haematologica · 2026Article
- Genomic characterization and prognostic significance of copy number alterations in Tunisian patients with acute lymphoblastic leukemia.PloS one · 2026Article
- Identification and validation of prognostic genes associated with m6A-regulated programmed cell death in acute lymphoblastic leukemia.Scientific reports · 2025Article
- Loss of Heterozygosity in Pediatric Acute Lymphoblastic Leukemia and Its Prognostic Impact: A Retrospective Study.Cancers · 2025Article
- Genomic landscape of childhood acute lymphoblastic leukemia in Malaysia: insights from array-CGH.Molecular cytogenetics · 2025Article
- Copy number alterations in pediatric B-cell precursor acute lymphoblastic leukemia patients and their association with patients' outcome.Annals of hematology · 2025Article
- Real time-PCR a diagnostic tool for reporting copy number variation and relative gene-expression changes in pediatric B-cell acute lymphoblastic leukemia-a pilot study.Biology methods & protocols · 2025Article
- A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing.Life science alliance · 2024Article
- Early-life tobacco exposure is causally implicated in aberrant RAG-mediated recombination in childhood acute lymphoblastic leukemia.Research square · 2024Article
- Integrated analysis of transcriptome and genome variations in pediatric T cell acute lymphoblastic leukemia: data from north Indian tertiary care center.BMC cancer · 2024Article
- Diagnostic and therapeutic advances in adults with acute lymphoblastic leukemia in the era of gene analysis and targeted immunotherapy.The Korean journal of internal medicine · 2024Review
- Multifaceted roles ofFrontiers in oncology · 2024Review
- Added value of molecular karyotype in childhood acute lymphoblastic leukemia.Cancer innovation · 2023Article
- Article
- Genetic Profiling of Pediatric Patients with B-Cell Precursor Acute Lymphoblastic Leukemia.Journal of pediatric genetics · 2023Article
- The Gene Expression Classifier ALLCatchR Identifies B-cell Precursor ALL Subtypes and Underlying Developmental Trajectories Across Age.HemaSphere · 2023Article
- PersonALL: a genetic scoring guide for personalized risk assessment in pediatric B-cell precursor acute lymphoblastic leukemia.British journal of cancer · 2023Article
- Development of a Next-generation Sequencing-based Gene Panel Test to Detect Measurable Residual Disease in Acute Myeloid Leukemia.Annals of laboratory medicine · 2023Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In childhood B-cell precursor acute lymphoblastic leukemia, cytogenetics is important in diagnosis and as an indicator of response to therapy, thus playing a key role in risk stratification of patients for treatment. Little is known of the relationship between different cytogenetic subtypes in B-cell precursor acute lymphoblastic leukemia and the recently reported copy number abnormalities affecting significant leukemia associated genes. In a consecutive series of 1427 childhood B-cell precursor acute lymphoblastic leukemia patients, we have determined the incidence and type of copy number abnormalities using multiplex ligation-dependent probe amplification. We have shown strong links between certain deletions and cytogenetic subtypes, including the novel association between RB1 deletions and intrachromosomal amplification of chromosome 21. In this study, we characterized the different copy number abnormalities and show heterogeneity of PAX5 and IKZF1 deletions and the recurrent nature of RB1 deletions. Whole gene losses are often indicative of larger deletions, visible by conventional cytogenetics. An increased number of copy number abnormalities is associated with NCI high risk, specifically deletions of IKZF1 and CDKN2A/B, which occur more frequently among these patients. IKZF1 deletions and rearrangements of CRLF2 among patients with undefined karyotypes may point to the poor risk BCR-ABL1-like group. In conclusion, this study has demonstrated in a large representative cohort of children with B-cell precursor acute lymphoblastic leukemia that the pattern of copy number abnormalities is highly variable according to the primary genetic abnormality.
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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.