Evidence map›Paper›PMID 32642674›Full record

ArticleNeuro-oncology advances

Gliomas display distinct sex-based differential methylation patterns based on molecular subtype.

Mette L Johansen, L C Stetson, Vachan Vadmal, Kristin Waite, Michael E Berens, James R Connor, Justin Lathia, Joshua B Rubin, Jill S Barnholtz-Sloan

Abstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  10. An End-to-endProceedings. IEEE International Conference on Healthcare Informatics · 2023
    Article
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  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Sex Disparities inJournal of clinical medicine · 2021
    Article
  20. 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

9 authors.

Mette L JohansenDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
L C StetsonDepartment of Pathology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Vachan VadmalCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Kristin WaiteDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Michael E BerensCancer and Cell Biology Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
James R ConnorDepartment of Neurosurgery, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Justin LathiaCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Joshua B RubinDepartments of Pediatrics and Neuroscience, Washington University School of Medicine, St. Louis, Missouri, USA.
Jill S Barnholtz-SloanCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0000-0001-6190-9304

Funding

Computational Genomic Epidemiology of Cancer (CoGEC) Training ProgramT32CA094186 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Thomas Louis LaFramboise, Rong Xu · 2017 to 2026
$2.6M
NCI NIH HHS T32 CA094186
6 · The paper itself

Abstract

backgroundGliomas are the most common type of primary brain tumor and one of many cancers where males are diagnosed with greater frequency than females. However, little is known about the sex-based molecular differences in glioblastomas (GBMs) or lower grade glioma (non-GBM) subtypes. DNA methylation is an epigenetic mechanism involved in regulating gene transcription. In glioma and other cancers, hypermethylation of specific gene promoters downregulates transcription and may have a profound effect on patient outcome. The purpose of this study was to determine if sex-based methylation differences exist in different glioma subtypes.

methodsMolecular and clinical data from glioma patients were obtained from The Cancer Genome Atlas and grouped according to tumor grade and molecular subtype (

resultsAnalysis of methylation data in 4 glioma subtypes revealed unique sets of both sex-specific DMPs and DMRs in each subtype. Motif analysis based on DMP position also identified distinct sex-based sets of DNA-binding motifs that varied according to glioma subtype. Downstream targets of 2 of the GBM-specific transcription binding sites,

conclusionDNA methylation differences between males and females in 4 glioma molecular subtypes suggest an important, sex-specific role for DNA methylation in epigenetic regulation of gliomagenesis.

Indexed as

DNA methylationglioblastomagliomasex-specific differencessurvival

Identifiers

PMID32642674
PMCPMC7212920

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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.