Evidence map›Paper›PMID 27579614›Full record

ArticleOncotarget2016

GBM-associated mutations and altered protein expression are more common in young patients.

Sherise D Ferguson, Joanne Xiu, Shiao-Pei Weathers, Shouhao Zhou, Santosh Kesari, Stephanie E Weiss, Roeland G Verhaak, Raymond J Hohl, Geoffrey R Barger, Sandeep K Reddy and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Molecular Biomarkers in Glioblastoma: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2022
    Pooled it
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  3. Small Molecule Tyrosine Kinase Inhibitors (TKIs) for Glioblastoma Treatment.International journal of molecular sciences · 2024
    Review
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  6. Advanced Age in Humans and Mouse Models of Glioblastoma Show Decreased Survival from Extratumoral Influence.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Optimal managements of elderly patients with glioblastoma.Japanese journal of clinical oncology · 2022
    Review
  11. Article
  12. Deconvoluting Mechanisms of Acquired Resistance to RAF Inhibitors in BRAFClinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

11 authors at 6 institutions in 1 country.

Sherise D FergusonDepartments of Neurosurgery, Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
Joanne XiuCaris Life Sciences, Phoenix, AZ 85040, USA.
Shiao-Pei WeathersDepartments of Neuro-Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
Shouhao ZhouDepartments of Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
Santosh KesariDepartment of Translational Neuro-Oncology and Neurotherapeutics, Pacific Neuroscience Institute and John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.
Stephanie E WeissFox Chase Cancer Center, Philadelphia, PA 19111, USA.
Roeland G VerhaakDepartment of Genome Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77054, USA.
Raymond J HohlPenn State Hershey Cancer Institute, Hershey, PA 17033, USA.
Geoffrey R BargerDepartment of Neurology, Wayne State University, School of Medicine, Karmanos Cancer Center, Detroit, MI 48201, USA.
Sandeep K ReddyCaris Life Sciences, Phoenix, AZ 85040, USA.
Amy B HeimbergerDepartments of Neurosurgery, Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USCaris Life Sciences (United States) · USFox Chase Cancer Center · USPenn State Milton S. Hershey Medical Center · USSaint John's Health Center · USThe Barbara Ann Karmanos Cancer Institute · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Tropism Enhanced Oncolytic Adenovirus for the Treatment of Brain TumorsP50CA127001 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Juan Fueyo · 2008 to 2026
$41.2M
Modulation of Microglia and T Cell Interactions in Malignant GliomaR01CA120813 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HEIMBERGER, AMY BETH, RAO, GANESH · 2007 to 2025
$4.7M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA127001NCI NIH HHS R01 CA120813
6 · The paper itself

Abstract

backgroundGeriatric glioblastoma (GBM) patients have a poorer prognosis than younger patients, but IDH1/2 mutations (more common in younger patients) confer a favorable prognosis. We compared key GBM molecular alterations between an elderly (age ≥ 70) and younger (18 < = age < = 45) cohort to explore potential therapeutic opportunities.

resultsAlterations more prevalent in the young GBM cohort compared to the older cohort (P < 0.05) were: overexpression of ALK, RRM1, TUBB3 and mutation of ATRX, BRAF, IDH1, and TP53. However, PTEN mutation was significantly more frequent in older patients. Among patients with wild-type IDH1/2 status, TOPO1 expression was higher in younger patients, whereas MGMT methylation was more frequent in older patients. Within the molecularly-defined IDH wild-type GBM cohort, younger patients had significantly more mutations in PDGFRA, PTPN11, SMARCA4, BRAF and TP53.

methodsGBMs from 178 elderly patients and 197 young patients were analyzed using DNA sequencing, immunohistochemistry, in situ hybridization, and MGMT-methylation assay to ascertain mutational and amplification/expressional status.

conclusionsSignificant molecular differences occurred in GBMs from elderly and young patients. Except for the older cohort's more frequent PTEN mutation and MGMT methylation, younger patients had a higher frequency of potential therapeutic targets.

Indexed as

MutationAdultAgedAge FactorsAgingBiomarkers, TumorBrain NeoplasmsCohort StudiesDNA MethylationDNA Mutational AnalysisErbB ReceptorsGene Expression Regulation, NeoplasticGlioblastomaHumansTumor Suppressor Protein p53Biomarkers, TumorErbB ReceptorsTumor Suppressor Protein p53DNA sequencingGBMmutational analysis

Identifiers

PMID27579614
PMCPMC5342491
OpenAlexW2518074465

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.