Evidence map›Paper›PMID 37713468›Full record

ArticleNeuro-oncology2024

Glioma genetic profiles associated with electrophysiologic hyperexcitability.

Steven Tobochnik, Maria Kristina C Dorotan, Hia S Ghosh, Emily Lapinskas, Jayne Vogelzang, David A Reardon, Keith L Ligon, Wenya Linda Bi, Stelios M Smirnakis, Jong Woo Lee

Open access · hybridAbstract read
In one paragraph

Article in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pilot Trial of Perampanel on Peritumoral Hyperexcitability in Newly Diagnosed High-grade Glioma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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  9. Innovative Therapeutic Strategies Targeting the Network Architecture of Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Steven TobochnikDepartment of Neurology, VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0001-9071-8398
Maria Kristina C DorotanDepartment of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hia S GhoshDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Emily LapinskasDepartment of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Jayne VogelzangDepartment of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
David A ReardonDepartment of Medical Oncology, Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Keith L LigonDepartment of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Wenya Linda BiDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Stelios M SmirnakisDepartment of Neurology, VA Boston Healthcare System, Boston, Massachusetts, USA.
Jong Woo LeeDepartment of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USCenter for Neuro-Oncology · USDana-Farber Cancer Institute · US

Funding

Imaging regional gene expression variability in brain tumor associated seizuresR03NS091864 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, JONG WOO · 2015 to 2016
$177k
NINDS NIH HHS R03 NS091864VA V1CDA2022-68
6 · The paper itself

Abstract

backgroundDistinct genetic alterations determine glioma aggressiveness, however, the diversity of somatic mutations contributing to peritumoral hyperexcitability and seizures over the course of the disease is uncertain. This study aimed to identify tumor somatic mutation profiles associated with clinically significant hyperexcitability.

methodsA single center cohort of adults with WHO grades 1-4 glioma and targeted exome sequencing (n = 1716) was analyzed and cross-referenced with a validated EEG database to identify the subset of individuals who underwent continuous EEG monitoring (n = 206). Hyperexcitability was defined by the presence of lateralized periodic discharges and/or electrographic seizures. Cross-validated discriminant analysis models trained exclusively on recurrent somatic mutations were used to identify variants associated with hyperexcitability.

resultsThe distribution of WHO grades and tumor mutational burdens were similar between patients with and without hyperexcitability. Discriminant analysis models classified the presence or absence of EEG hyperexcitability with an overall accuracy of 70.9%, regardless of IDH1 R132H inclusion. Predictive variants included nonsense mutations in ATRX and TP53, indel mutations in RBBP8 and CREBBP, and nonsynonymous missense mutations with predicted damaging consequences in EGFR, KRAS, PIK3CA, TP53, and USP28. This profile improved estimates of hyperexcitability in a multivariate analysis controlling for age, sex, tumor location, integrated pathologic diagnosis, recurrence status, and preoperative epilepsy. Predicted somatic mutation variants were over-represented in patients with hyperexcitability compared to individuals without hyperexcitability and those who did not undergo continuous EEG.

conclusionThese findings implicate diverse glioma somatic mutations in cancer genes associated with peritumoral hyperexcitability. Tumor genetic profiling may facilitate glioma-related epilepsy prognostication and management.

Indexed as

Brain NeoplasmsEpilepsyGliomaAdultGenetic ProfileHumansMutationSeizuresUbiquitin ThiolesteraseUbiquitin ThiolesteraseUSP28 protein, humanbrain tumorelectroencephalographyepilepsygliomasomatic mutation

Identifiers

PMID37713468
PMCPMC10836775
OpenAlexW4386766762

What OpenQuestion holds

Textmetadata
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.