Evidence map›Paper›PMID 26941285›Full record

ArticleCancer research2016

Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse.

Jason E Farrar, Heather L Schuback, Rhonda E Ries, Daniel Wai, Oliver A Hampton, Lisa R Trevino, Todd A Alonzo, Jaime M Guidry Auvil, Tanja M Davidsen, Patee Gesuwan and 10 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed
16.2field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 164 citations in OpenAlex.

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52 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 7 institutions in 3 countries.

Jason E FarrarArkansas Children's Hospital Research Institute and the University of Arkansas for Medical Sciences, Little Rock, Arkansas. Children's Oncology Group, Monrovia, California.
Heather L SchubackFred Hutchinson Cancer Research Center and the University of Washington School of Medicine, Seattle, Washington.
Rhonda E RiesFred Hutchinson Cancer Research Center and the University of Washington School of Medicine, Seattle, Washington.
Daniel WaiRon Matricaria Institute of Molecular Medicine, Phoenix Children's Hospital and the University of Arizona College of Medicine, Tucson, Arizona.
Oliver A HamptonHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Lisa R TrevinoHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas. Doctors Hospital at Renaissance, Edinburg, Texas.
Todd A AlonzoChildren's Oncology Group, Monrovia, California. University of Southern California, Los Angeles, California.
Jaime M Guidry AuvilOffice of Cancer Genomics, National Cancer Institute, Bethesda, Maryland.
Tanja M DavidsenCenter for Bioinformatics and Information Technology, National Cancer Institute, Rockville, Maryland.
Patee GesuwanCenter for Bioinformatics and Information Technology, National Cancer Institute, Rockville, Maryland.
Leandro HermidaCenter for Bioinformatics and Information Technology, National Cancer Institute, Rockville, Maryland.
Donna M MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Ninad DewalHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Navin RustagiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Lora R LewisHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Alan S GamisChildren's Mercy Hospitals and Clinics, Kansas City, Missouri.
David A WheelerHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
Malcolm A SmithCancer Therapy Evaluation Program, National Cancer Institute, Rockville, Maryland.
Daniela S GerhardOffice of Cancer Genomics, National Cancer Institute, Bethesda, Maryland.
Soheil MeshinchiChildren's Oncology Group, Monrovia, California. Fred Hutchinson Cancer Research Center and the University of Washington School of Medicine, Seattle, Washington. smeshinc@fredhutch.org.
Baylor College of Medicine · USNational Cancer Institute · USChildren's Oncology Group · CHFred Hutch Cancer Center · USMercy Hospital · USNational Cancer Institute · MYPhoenix Children's Hospital · US

Funding

NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
COG SDMC - Statistics CoreU10CA180899 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TODD A ALONZO · 2014 to 2026
$132.8M
PEDIATRIC ONCOLOGY RESEARCH TRAINING PROGRAMT32CA009351 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth R Lawlor, SOHEIL MESHINCHI · 1985 to 2026
$7.0M
Biology/prognostic implications of Flt3 mutations in AMLR01CA114563 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MESHINCHI, SOHEIL · 2005 to 2016
$4.4M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS R01 CA114563NCI NIH HHS T32 CA009351NCI NIH HHS U10 CA098543NCI NIH HHS U10 CA180886NCI NIH HHS U10 CA180899
6 · The paper itself

Abstract

The genomic and clinical information used to develop and implement therapeutic approaches for acute myelogenous leukemia (AML) originated primarily from adult patients and has been generalized to patients with pediatric AML. However, age-specific molecular alterations are becoming more evident and may signify the need to age-stratify treatment regimens. The NCI/COG TARGET-AML initiative used whole exome capture sequencing (WXS) to interrogate the genomic landscape of matched trios representing specimens collected upon diagnosis, remission, and relapse from 20 cases of de novo childhood AML. One hundred forty-five somatic variants at diagnosis (median 6 mutations/patient) and 149 variants at relapse (median 6.5 mutations) were identified and verified by orthogonal methodologies. Recurrent somatic variants [in (greater than or equal to) 2 patients] were identified for 10 genes (FLT3, NRAS, PTPN11, WT1, TET2, DHX15, DHX30, KIT, ETV6, KRAS), with variable persistence at relapse. The variant allele fraction (VAF), used to measure the prevalence of somatic mutations, varied widely at diagnosis. Mutations that persisted from diagnosis to relapse had a significantly higher diagnostic VAF compared with those that resolved at relapse (median VAF 0.43 vs. 0.24, P < 0.001). Further analysis revealed that 90% of the diagnostic variants with VAF >0.4 persisted to relapse compared with 28% with VAF <0.2 (P < 0.001). This study demonstrates significant variability in the mutational profile and clonal evolution of pediatric AML from diagnosis to relapse. Furthermore, mutations with high VAF at diagnosis, representing variants shared across a leukemic clonal structure, may constrain the genomic landscape at relapse and help to define key pathways for therapeutic targeting. Cancer Res; 76(8); 2197-205. ©2016 AACR.

Indexed as

Gene Expression ProfilingMutationAdolescentChildChild, PreschoolDNA Copy Number VariationsFemaleHumansInfantLeukemia, Myeloid, AcuteMaleRecurrence

Identifiers

PMID26941285
PMCPMC4873364
OpenAlexW2290344215

What OpenQuestion holds

Textmetadata
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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.