Evidence map›Paper›PMID 37878192›Full record

ArticleJournal of neuro-oncology2023

Genetic predictors of neurocognitive outcomes in survivors of pediatric brain tumors.

Sydney T Grob, Kristen R Miller, Bridget Sanford, Andrew M Donson, Kenneth Jones, Andrea M Griesinger, Vladimir Amani, Nicholas K Foreman, Arthur Liu, Michael Handler and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Sydney T GrobDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Kristen R MillerDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Bridget SanfordDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Andrew M DonsonDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Kenneth JonesDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Andrea M GriesingerDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Vladimir AmaniDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Nicholas K ForemanDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Arthur LiuMorgan Adams Foundation Pediatric Brain Tumor Research Program, Children's Hospital Colorado, Aurora, USA.
Michael HandlerMorgan Adams Foundation Pediatric Brain Tumor Research Program, Children's Hospital Colorado, Aurora, USA.
Todd C HankinsonMorgan Adams Foundation Pediatric Brain Tumor Research Program, Children's Hospital Colorado, Aurora, USA.
Sarah MilgromMorgan Adams Foundation Pediatric Brain Tumor Research Program, Children's Hospital Colorado, Aurora, USA.
Jean M Mulcahy LevyDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA. Jean.MulcahyLevy@cuanschutz.edu.
University of Colorado Denver · USMorgan Adams Foundation · USChildren's Hospital Colorado · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

backgroundNeurocognitive deficits are common in pediatric brain tumor survivors. The use of single nucleotide polymorphism (SNP) analysis in DNA repair genes may identify children treated with radiation therapy for brain tumors at increased risk for treatment toxicity and adverse neurocognitive outcomes. MATERIALS: The Human 660W-Quad v1.0 DNA BeadChip analysis (Illumina) was used to evaluate 1048 SNPs from 59 DNA repair genes in 46 subjects. IQ testing was measured by the Wechsler Intelligence Scale for Children. Linear regression was used to identify the 10 SNPs with the strongest association with IQ scores while adjusting for radiation type.

resultsThe low vs high IQ patient cohorts were well matched for time from first treatment to most recent IQ, first treatment age, sex, and treatments received. 5 SNPs on 3 different genes (CYP29, XRCC1, and BRCA1) and on 3 different chromosomes (10, 19, and 17) had the strongest association with most recent IQ score that was not modified by radiation type. Furthermore, 5 SNPs on 4 different genes (WRN, NR3C1, ERCC4, RAD51L1) on 4 different chromosomes (8, 5, 16, 14) had the strongest association with change in IQ independent of radiation type, first IQ, and years between IQ measures.

conclusionsSNPs offer the potential to predict adverse neurocognitive outcomes in pediatric brain tumor survivors. Our results require validation in a larger patient cohort. Improving the ability to identify children at risk of treatment related neurocognitive deficits could allow for better treatment stratification and early cognitive interventions.

Indexed as

Brain NeoplasmsChildCranial IrradiationHumansIntelligence TestsNeuropsychological TestsSurvivorsX-ray Repair Cross Complementing Protein 1X-ray Repair Cross Complementing Protein 1XRCC1 protein, humanNeurocognitive outcomePediatric brain tumorSingle nucleotide polymorphism (SNP)

Identifiers

PMID37878192
PMCPMC10638163
OpenAlexW4387931068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.