Evidence map›Paper›PMID 19651601›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Genomic analysis reveals few genetic alterations in pediatric acute myeloid leukemia.

Ina Radtke, Charles G Mullighan, Masami Ishii, Xiaoping Su, Jinjun Cheng, Jing Ma, Ramapriya Ganti, Zhongling Cai, Salil Goorha, Stanley B Pounds and 10 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 175 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Oncogenic Enhancers in Leukemia.Blood cancer discovery · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Straight to the Point-The Novel Strategies to Cure Pediatric AML.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Review
  16. Zebrafish models of acute leukemias: Current models and future directions.Wiley interdisciplinary reviews. Developmental biology · 2021
    Review
  17. Enhancer Hijacking Drives OncogenicCancer discovery · 2021
    Article
  18. Article
  19. Article
  20. Article

42 more citing papers are in PubMed but not listed here.

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

20 authors at 4 institutions in 1 country.

Ina RadtkeDepartment of Pathology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA.
Charles G Mullighan
Masami Ishii
Xiaoping Su
Jinjun Cheng
Jing Ma
Ramapriya Ganti
Zhongling Cai
Salil Goorha
Stanley B Pounds
Xueyuan Cao
Caroline Obert
Jianling Armstrong
Jinghui Zhang
Guangchun Song
Raul C Ribeiro
Jeffrey E Rubnitz
Susana C Raimondi
Sheila A Shurtleff
James R Downing
Apath (United States) · USSt. Jude Children's Research Hospital · USCancer Research And Biostatistics · USNational Cancer Institute · US

Funding

Bioinformatic Tools in Cancer ResearchZIHBC010470 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BUETOW, KENNETH · 2009 to 2012
$2.6M
Bioinformatic Tools in Cancer ResearchZ01BC010470 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BUETOW, KENNETH H · 2003 to 2008
$2.4M
PHS HHS 21765
6 · The paper itself

Abstract

Pediatric de novo acute myeloid leukemia (AML) is an aggressive malignancy with current therapy resulting in cure rates of only 60%. To better understand the cause of the marked heterogeneity in therapeutic response and to identify new prognostic markers and therapeutic targets a comprehensive list of the genetic mutations that underlie the pathogenesis of AML is needed. To approach this goal, we examined diagnostic leukemic samples from a cohort of 111 children with de novo AML using single-nucleotide-polymorphism microarrays and candidate gene resequencing. Our data demonstrate that, in contrast to pediatric acute lymphoblastic leukemia (ALL), de novo AML is characterized by a very low burden of genomic alterations, with a mean of only 2.38 somatic copy-number alterations per leukemia, and less than 1 nonsynonymous point mutation per leukemia in the 25 genes analyzed. Even more surprising was the observation that 34% of the leukemias lacked any identifiable copy-number alterations, and 28% of the leukemias with recurrent translocations lacked any identifiable sequence or numerical abnormalities. The only exception to the presence of few mutations was acute megakaryocytic leukemias, with the majority of these leukemias being characterized by a high number of copy-number alterations but rare point mutations. Despite the low overall number of lesions across the patient cohort, novel recurring regions of genetic alteration were identified that harbor known, and potential new cancer genes. These data reflect a remarkably low burden of genomic alterations within pediatric de novo AML, which is in stark contrast to most other human malignancies.

Indexed as

Gene DosageMutationPolymorphism, Single NucleotideChildFemaleHumansIntracellular Signaling Peptides and ProteinsKinesinsLeukemia, Myeloid, AcuteLoss of HeterozygosityMaleMyosinsProto-Oncogene ProteinsRNA, Long NoncodingRUNX1 Translocation Partner 1 ProteinTranscription FactorsAFDN protein, humanIntracellular Signaling Peptides and ProteinsKinesinslong noncoding RNA CCDC26, humanMyosinsProto-Oncogene ProteinsRNA, Long NoncodingRUNX1T1 protein, humanRUNX1 Translocation Partner 1 ProteinTranscription Factors

Identifiers

PMID19651601
PMCPMC2716382
OpenAlexW2165658132

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.