Evidence map›Paper›PMID 17494858›Full record

Trial reportBlood2007

Distinct patterns of mutations occurring in de novo AML versus AML arising in the setting of severe congenital neutropenia.

Daniel C Link, Ghada Kunter, Yumi Kasai, Yu Zhao, Tracie Miner, Michael D McLellan, Rhonda E Ries, Deepak Kapur, Rakesh Nagarajan, David C Dale and 19 more

Open access · bronzeAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Blood, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.6field-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

43 citing papers in PubMed, 95 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Impaired myelopoiesis in congenital neutropenia: insights into clonal and malignant hematopoiesis.Hematology. American Society of Hematology. Education Program · 2021
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Mutations in theBlood · 2018
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Germline Genetic Predisposition to Hematologic Malignancy.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Review
  16. Article
  17. Article
  18. Molecular therapy for acute myeloid leukaemia.Nature reviews. Clinical oncology · 2016
    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

29 authors at 8 institutions in 3 countries.

Daniel C LinkDivision of Oncology, Department of Medicine, Washington University, St Louis, MO 63110, USA. dlink@im.wustl.edu
Ghada Kunter
Yumi Kasai
Yu Zhao
Tracie Miner
Michael D McLellan
Rhonda E Ries
Deepak Kapur
Rakesh Nagarajan
David C Dale
Audrey Anna Bolyard
Laurence A Boxer
Karl Welte
Cornelia Zeidler
Jean Donadieu
Christine Bellanné-Chantelot
James W Vardiman
Michael A Caligiuri
Clara D Bloomfield
John F DiPersio
Michael H Tomasson
Timothy A Graubert
Peter Westervelt
Mark Watson
William Shannon
Jack Baty
Elaine R Mardis
Richard K Wilson
Timothy J Ley
Washington University in St. Louis · USNew York Genome Center · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity of Washington · USMedizinische Hochschule Hannover · DEHôpital Saint-Antoine · FRSorbonne Université · FRUniversity of Michigan–Ann Arbor · US

Funding

CANCER AND LEUKEMIA GROUP B MINORITY SATELLITE SUPPLEMENU10CA031946 · NCI · UNIVERSITY OF CHICAGO · PI BERTAGNOLLI, MONICA M · 1985 to 2013
$158.4M
Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LEY, TIMOTHY J. · 2003 to 2023
$58.8M
Cancer and Leukemia Group B - Leukemia Correlative SciencesU10CA101140 · NCI · OHIO STATE UNIVERSITY · PI MARCUCCI, GUIDO · 2003 to 2013
$10.3M
NCI NIH HHS CA101140NCI NIH HHS CA101937NCI NIH HHS CA31946NCI NIH HHS P01 CA101937NCI NIH HHS U10 CA031946NCI NIH HHS U10 CA101140
6 · The paper itself

Abstract

Severe congenital neutropenia (SCN) is an inborn disorder of granulopoiesis. Like most other bone marrow failure syndromes, it is associated with a marked propensity to transform into a myelodysplastic syndrome (MDS) or acute leukemia, with a cumulative rate of transformation to MDS/leukemia that exceeds 20%. The genetic (and/or epigenetic) changes that contribute to malignant transformation in SCN are largely unknown. In this study, we performed mutational profiling of 14 genes previously implicated in leukemogenesis using 14 MDS/leukemia samples from patients with SCN. We used high-throughput exon-based resequencing of whole-genome-amplified genomic DNA with a semiautomated method to detect mutations. The sensitivity and specificity of the sequencing pipeline was validated by determining the frequency of mutations in these 14 genes using 188 de novo AML samples. As expected, mutations of tyrosine kinase genes (FLT3, KIT, and JAK2) were common in de novo AML, with a cumulative frequency of 30%. In contrast, no mutations in these genes were detected in the SCN samples; instead, mutations of CSF3R, encoding the G-CSF receptor, were common. These data support the hypothesis that mutations of CSF3R may provide the "activated tyrosine kinase signal" that is thought to be important for leukemogenesis.

Indexed as

AdultDNA Mutational AnalysisEnzyme ActivationEpigenesis, GeneticGenetic Diseases, InbornGenome, HumanHumansLeukemia, Myeloid, AcuteMyelodysplastic SyndromesNeoplasm ProteinsNeutropeniaProtein-Tyrosine KinasesReceptors, Colony-Stimulating FactorCSF3R protein, humanNeoplasm ProteinsProtein-Tyrosine KinasesReceptors, Colony-Stimulating Factor

Identifiers

PMID17494858
PMCPMC1975847
OpenAlexW2043277447

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.