Evidence map›Paper›PMID 26544893›Full record

ArticleOncotarget2015

Genetic and epigenetic characterization of hypodiploid acute lymphoblastic leukemia.

Setareh Safavi, Linda Olsson, Andrea Biloglav, Srinivas Veerla, Molly Blendberg, Johnbosco Tayebwa, Mikael Behrendtz, Anders Castor, Markus Hansson, Bertil Johansson and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Overview on Aneuploidy in Childhood B-Cell Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. A Systematic Cytogenetic Strategy to Identify Masked Hypodiploidy in Precursor B Acute Lymphoblastic Leukemia in Low Resource Settings.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Next-Generation Sequencing in Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2019
    Review
  17. Review
  18. Review
  19. Article
  20. 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

11 authors at 3 institutions in 1 country.

Setareh SafaviDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Linda OlssonDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Andrea BiloglavDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Srinivas VeerlaDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Molly BlendbergDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Johnbosco TayebwaDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Mikael BehrendtzDepartment of Pediatrics, Linköping University Hospital, Linköping, Sweden.
Anders CastorDepartment of Pediatrics, Skåne University Hospital, Lund University, Lund, Sweden.
Markus HanssonDivision of Hematology, Skåne University Hospital, Lund University, Lund, Sweden.
Bertil JohanssonDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Kajsa PaulssonDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Lund University · SELinköping University Hospital · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the genetic and epigenetic landscape of hypodiploid (<45 chromosomes) acute lymphoblastic leukemia (ALL).

methodsSingle nucleotide polymorphism array, whole exome sequencing, RNA sequencing, and methylation array analyses were performed on eleven hypodiploid ALL cases.

resultsIn line with previous studies, mutations in IKZF3 and FLT3 were detected in near-haploid (25-30 chromosomes) cases. Low hypodiploidy (31-39 chromosomes) was associated with somatic TP53 mutations. Notably, mutations of this gene were also found in 3/3 high hypodiploid (40-44 chromosomes) cases, suggesting that the mutational patterns are similar in low hypodiploid and high hypodiploid ALL. The high hypodiploid ALLs frequently displayed substantial cell-to-cell variability in chromosomal content, indicative of chromosomal instability; a rare phenomenon in ALL. Gene expression analysis showed that genes on heterodisomic chromosomes were more highly expressed in hypodiploid cases. Cases clustered according to hypodiploid subtype in the unsupervised methylation analyses, but there was no association between chromosomal copy number and methylation levels. A comparison between samples obtained at diagnosis and relapse showed that the relapse did not arise from the major diagnostic clone in 3/4 cases.

conclusionsTaken together, our data support the conclusion that near-haploid and low hypodiploid ALL are different with regard to mutational profiles and also suggest that ALL cases with high hypodiploidy may harbor chromosomal instability.

Indexed as

AneuploidyEpigenesis, GeneticAbnormal KaryotypeAdolescentAdultAgedChildChild, PreschoolDNA Mutational AnalysisFemaleGene Expression Regulation, NeoplasticHumansInfantIn Situ Hybridization, FluorescenceMaleMiddle Agedacute lymphoblastic leukemiachromosomal instabilityhypodiploidynext generation sequencing

Identifiers

PMID26544893
PMCPMC4767471
OpenAlexW2109026764

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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.