Evidence map›Paper›PMID 37548547›Full record

ArticleJournal of neurosurgery2024

Genomic alterations associated with postoperative nodular leptomeningeal disease after resection of brain metastases.

Ramin A Morshed, Daniel D Cummins, Minh P Nguyen, Satvir Saggi, Harish N Vasudevan, Steve E Braunstein, Ezequiel Goldschmidt, Edward F Chang, Michael W McDermott, Mitchel S Berger and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 2 institutions in 1 country.

Ramin A MorshedDepartments of1Neurological Surgery and.
Daniel D CumminsDepartments of1Neurological Surgery and.
Minh P NguyenDepartments of1Neurological Surgery and.
Satvir SaggiDepartments of1Neurological Surgery and.
Harish N VasudevanDepartments of1Neurological Surgery and.
Steve E Braunstein2Radiation Oncology, University of California, San Francisco, California; and.
Ezequiel GoldschmidtDepartments of1Neurological Surgery and.
Edward F ChangDepartments of1Neurological Surgery and.
Michael W McDermott3Division of Neurosurgery, Miami Neuroscience Institute, Miami, Florida.
Mitchel S BergerDepartments of1Neurological Surgery and.
Philip V TheodosopoulosDepartments of1Neurological Surgery and.
Mariza DarasDepartments of1Neurological Surgery and.
Shawn L Hervey-JumperDepartments of1Neurological Surgery and.
Manish K AghiDepartments of1Neurological Surgery and.
Neurological Surgery · USUniversity of California, San Francisco · 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

objectiveThe relationship between brain metastasis resection and risk of nodular leptomeningeal disease (nLMD) is unclear. This study examined genomic alterations found in brain metastases with the aim of identifying alterations associated with postoperative nLMD in the context of clinical and treatment factors.

methodsA retrospective, single-center study was conducted on patients who underwent resection of brain metastases between 2014 and 2022 and had clinical and genomic data available. Postoperative nLMD was the primary endpoint of interest. Targeted next-generation sequencing of > 500 oncogenes was performed in brain metastases. Cox proportional hazards analyses were performed to identify clinical features and genomic alterations associated with nLMD.

resultsThe cohort comprised 101 patients with tumors originating from multiple cancer types. There were 15 patients with nLMD (14.9% of the cohort) with a median time from surgery to nLMD diagnosis of 8.2 months. Two supervised machine learning algorithms consistently identified CDKN2A/B codeletion and ERBB2 amplification as the top predictors associated with postoperative nLMD across all cancer types. In a multivariate Cox proportional hazards analysis including clinical factors and genomic alterations observed in the cohort, tumor volume (× 10 cm3; HR 1.2, 95% CI 1.01-1.5; p = 0.04), CDKN2A/B codeletion (HR 5.3, 95% CI 1.7-16.9; p = 0.004), and ERBB2 amplification (HR 3.9, 95% CI 1.1-14.4; p = 0.04) were associated with a decreased time to postoperative nLMD.

conclusionsIn addition to increased resected tumor volume, ERBB2 amplification and CDKN2A/B deletion were independently associated with an increased risk of postoperative nLMD across multiple cancer types. Additional work is needed to determine if targeted therapy decreases this risk in the postoperative setting.

Indexed as

Brain NeoplasmsRadiosurgeryGenomicsHumansRetrospective StudiesTreatment Outcomebrain metastasisCDKN2ACDKN2BERBB2leptomeningeal diseaseoncologysurgery

Identifiers

PMID37548547
PMCPMC11175692
OpenAlexW4385383073

What OpenQuestion holds

Textmetadata
LicenceTDM
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.