Evidence map›Paper›PMID 19468266›Full record

ReviewCurrent opinion in hematology2009

Molecular signatures in acute myeloid leukemia.

Krzysztof Mrózek, Michael D Radmacher, Clara D Bloomfield, Guido Marcucci

Abstract readReview
In one paragraph

Review in Current opinion in hematology, 2009. 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
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Circular RNAs in Blood Malignancies.Frontiers in molecular biosciences · 2020
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Genomic characterization of acute leukemias.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2014
    Review
  12. Review
  13. Using bioinformatic approaches to identify pathways targeted by human leukemogens.International journal of environmental research and public health · 2012
    Article
  14. Cancer stem cells: an evolving concept.Nature reviews. Cancer · 2012
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Krzysztof MrózekDepartment of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, 43210-1228, USA. krzysztof.mrozek@osumc.edu
Michael D Radmacher
Clara D Bloomfield
Guido Marcucci
The Ohio State University · USCancer Genetics (United States) · USDuke Medical Center · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
PHARMACOLOGICAL MODULATION OF EPIGENETIC CHANTGES IN AMLR01CA102031 · NCI · OHIO STATE UNIVERSITY · PI GUZMAN, MONICA L, MARCUCCI, GUIDO · 2004 to 2017
$3.8M
NCI NIH HHS CA16058NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA102031NCI NIH HHS R01CA102031
6 · The paper itself

Abstract

purpose of reviewAcute myeloid leukemia (AML) is characterized by a high degree of heterogeneity with respect to chromosome abnormalities, gene mutations and changes in expression of multiple genes and microRNAs. In this article, we review the results of recent studies of AML that used microarray-based genome-wide gene-expression and microRNA-expression profiling. RECENT

findingsGenome-wide analyses of gene expression and microRNA expression have revealed AML signatures that are closely associated with some, but not all, cytogenetic and molecular genetic subsets, helped in identification of novel biologic subtypes and led to characterization of molecular pathways involved in leukemogenesis. For some AML categories, namely core-binding factor AML and/or cytogenetically normal AML, gene-expression and microRNA-expression profiling provided prognostic information additional to that obtained from cytogenetics and analyses of gene mutations and single gene expression changes. SUMMARY: Gene-expression and microRNA-expression profiling not only has the potential to enhance our understanding of the disease biology, but also appears to constitute an applicable approach for outcome prediction and identification of novel therapeutic targets.

Indexed as

Cytogenetic AnalysisGene Expression ProfilingGenome-Wide Association StudyHumansLeukemia, Myeloid, AcuteMicroRNAsPredictive Value of TestsMicroRNAs

Identifiers

PMID19468266
PMCPMC4209289
OpenAlexW2121959453

What OpenQuestion holds

Textmetadata
LicenceTDM
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.