Evidence map›Paper›PMID 37527678›Full record

ArticleNeurosurgical focus2023

Association of CDKN2A alterations with increased postoperative seizure risk after resection of brain metastases.

Daniel D Cummins, Joseph H Garcia, Minh P Nguyen, Satvir Saggi, Jason E Chung, Ezequiel Goldschmidt, Mitchel S Berger, Philip V Theodosopoulos, Edward F Chang, Mariza Daras and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Neurosurgical focus, 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
0.5field-weighted citation impact, top 29% 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

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

13 authors at 1 institution in 1 country.

Daniel D CumminsDepartments of1Neurological Surgery and.
Joseph H GarciaDepartments of1Neurological Surgery and.
Minh P NguyenDepartments of1Neurological Surgery and.
Satvir SaggiDepartments of1Neurological Surgery and.
Jason E ChungDepartments of1Neurological Surgery and.
Ezequiel GoldschmidtDepartments of1Neurological Surgery and.
Mitchel S BergerDepartments of1Neurological Surgery and.
Philip V TheodosopoulosDepartments of1Neurological Surgery and.
Edward F ChangDepartments of1Neurological Surgery and.
Mariza DarasDepartments of1Neurological Surgery and.
Shawn L Hervey-JumperDepartments of1Neurological Surgery and.
Manish K AghiDepartments of1Neurological Surgery and.
Ramin A MorshedDepartments of1Neurological Surgery and.
Neurological Surgery · US

Funding

Modeling and druggable-genome screening of glioblastoma invasion using regional biopsy-guided biomaterials systemsR01CA227136 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGHI, MANISH · 2018 to 2022
$2.2M
NCI NIH HHS R01 CA227136
6 · The paper itself

Abstract

objectiveSeizures are common and significantly disabling for patients with brain metastases (BMs). Although resection can provide seizure control, a subset of patients with BMs may continue to suffer seizures postoperatively. Genomic BM characteristics may influence which patients are at risk for postoperative seizures. This work explores correlations between genomic alterations and risk of postoperative seizures following BM resection.

methodsAll patients underwent BM resection at a single institution, with available clinical and sequencing data on more than 500 oncogenes. Clinical seizures were documented pre- and postoperatively. A random forest machine learning classification was used to determine candidate genomic alterations associated with postoperative seizures, and clinical and top genomic variables were correlated with postoperative seizures by using Cox proportional hazards models.

resultsThere were 112 patients with BMs who underwent 114 surgeries and had at least 1 month of postoperative follow-up. Seizures occurred preoperatively in 26 (22.8%) patients and postoperatively in 25 (21.9%). The Engel classification achieved at 6 months for those with preoperative seizures was class I in 13 (50%); class II in 6 (23.1%); class III in 5 (19.2%), and class IV in 2 (7.7%). In those with postoperative seizures, only 8 (32.0%) had seizures preoperatively, and preoperative seizures were not a significant predictor of postoperative seizures (HR 1.84; 95% CI 0.79-4.37; p = 0.156). On random forest classification and multivariate Cox analysis controlling for factors including recurrence, extent of resection, and number of BMs, CDKN2A alterations were associated with postoperative seizures (HR 3.22; 95% CI 1.27-8.16; p = 0.014). Melanoma BMs were associated with higher risk of postoperative seizures compared with all other primary malignancies (HR 5.23; 95% CI 1.37-19.98; p = 0.016). Of 39 BMs with CDKN2A alteration, 35.9% (14/39) had postoperative seizures, compared to 14.7% (11/75) without CDKN2A alteration. The overall rate of postoperative seizures in melanoma BMs was 42.9% (15/35), compared with 12.7% (10/79) for all other primary malignancies.

conclusionsCDKN2A alterations and melanoma primary malignancy are associated with increased postoperative seizure risk following resection of BMs. These results may help guide postoperative seizure prophylaxis in patients undergoing resection of BMs.

Indexed as

Brain NeoplasmsSeizuresCyclin-Dependent Kinase Inhibitor p16GenomicsHumansRetrospective StudiesTreatment OutcomeCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16brain metastasisCDKN2Ageneticsmachine learningseizuretumor

Identifiers

PMID37527678
PMCPMC11128027
OpenAlexW4385445482

What OpenQuestion holds

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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.