Evidence map›Paper›PMID 21421111›Full record

ReviewSeminars in oncology2011

An integrated genomic approach to the assessment and treatment of acute myeloid leukemia.

Lucy A Godley, John Cunningham, M Eileen Dolan, R Stephanie Huang, Sandeep Gurbuxani, Megan E McNerney, Richard A Larson, Hoyee Leong, Yves Lussier, Kenan Onel and 4 more

Abstract readReview
In one paragraph

Review in Seminars in oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Association betweenCancer cell international · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Personalized medicine and cancer.Journal of personalized medicine · 2012
    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

14 authors at 1 institution in 1 country.

Lucy A GodleyDepartment of Medicine, The University of Chicago, Chicago, IL 60637, USA. lgodley@medicine
John Cunningham
M Eileen Dolan
R Stephanie Huang
Sandeep Gurbuxani
Megan E McNerney
Richard A Larson
Hoyee Leong
Yves Lussier
Kenan Onel
Olatoyosi Odenike
Wendy Stock
Kevin P White
Michelle M Le Beau
University of Chicago · US

Funding

Genome-wide interrogation of genetic signatures for glucocorticoid sensitivityK08GM089941 · NIGMS · UNIVERSITY OF CHICAGO · PI HUANG, RONG STEPHANIE · 2010 to 2014
$498k
Semantic Approaches to Phenotypic Databases AnalysesK22LM008308 · NLM · UNIVERSITY OF CHICAGO · PI LUSSIER, YVES A · 2004 to 2006
$468k
NIGMS NIH HHS K08 GM089941NLM NIH HHS K22 LM008308
6 · The paper itself

Abstract

Traditionally, new scientific advances have been applied quickly to the leukemias based on the ease with which relatively pure samples of malignant cells can be obtained. Currently, our arsenal of approaches used to characterize an individual's acute myeloid leukemia (AML) combines hematopathologic evaluation, flow cytometry, cytogenetic analysis, and molecular studies focused on a few key genes. The advent of high-throughput methods capable of full-genome evaluation presents new options for a revolutionary change in the way we diagnose, characterize, and treat AML. Next-generation DNA sequencing techniques allow full sequencing of a cancer genome or transcriptome, with the hope that this will be affordable for routine clinical care within the decade. Microarray-based testing will define gene and miRNA expression, DNA methylation patterns, chromosomal imbalances, and predisposition to disease and chemosensitivity. The vision for the future entails an integrated and automated approach to these analyses, bringing the possibility of formulating an individualized treatment plan within days of a patient's initial presentation. With these expectations comes the hope that such an approach will lead to decreased toxicities and prolonged survival for patients.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression ProfilingGenome-Wide Association StudyHumansLeukemia, Myeloid, AcutePolymorphism, Single Nucleotide

Identifiers

PMID21421111
PMCPMC5591437
OpenAlexW2107557654

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.