Evidence map›Paper›PMID 23595294›Full record

ReviewCurrent hematologic malignancy reports2013

Are results of targeted gene sequencing ready to be used for clinical decision making for patients with acute myelogenous leukemia?

Arati V Rao, B Douglas Smith

Abstract readReview
In one paragraph

Review in Current hematologic malignancy reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Clinical advances in molecular biomarkers for cancer diagnosis and therapy.International journal of molecular sciences · 2013
    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

2 authors.

Arati V RaoDivision of Hematologic Malignancies and Cell Therapy, Duke University Medical Center, 2400 Pratt Street, Suite 9010, Durham, NC 27710, USA. arati.rao@dm.duke.edu
B Douglas Smith

Funding

Clinico-Genomic Assessment of Performance Status in Elderly AML PatientsR03AG042362 · NIA · DUKE UNIVERSITY · PI RAO, ARATI V · 2012 to 2013
$153k
NIA NIH HHS R03 AG042362
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is the most common acute leukemia in the USA, which despite recent advances, continues to have a high mortality rate. It is a biologically active disease characterized by numerous cytogenetic abnormalities and multiple genetic mutations. Next-generation sequencing (NGS) will perhaps not reveal all the factors that make AML a complex disease, but does have the potential to affect the diagnosis and risk stratification of AML patients and allow more personalized therapy. AML cells are easy to obtain from the patient and samples are only minimally contaminated with normal cells, which makes it an attractive cancer to study. Several studies have now demonstrated that the majority of AML patients are cytogenetically normal and the genome of these patients may contain fewer mutations than cancer genomes that are highly aneuploidy, suggesting that mutations in diploid genomes are more likely to be pathogenetically relevant. Whole-genome, exome, transcriptome, and targeted gene sequencing studies have been conducted successfully in AML and have provided with valuable information. The challenges for the future include: reducing the cost of sequencing, understanding epigenetic changes, managing data across various platforms, separating the driver mutations from the sea of passenger mutations, and finally, educating future generations to allow a better understanding and easy availability of these complex methodologies.

Indexed as

Decision MakingDNA Mutational AnalysisExomeGene Expression ProfilingHumansLeukemia, Myeloid, AcuteSequence Analysis, DNA

Identifiers

PMID23595294
PMCPMC3690575

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.