Evidence map›Paper›PMID 32860417›Full record

ArticleNeurosurgery2020

A Prognostic Gene-Expression Signature and Risk Score for Meningioma Recurrence After Resection.

William C Chen, Harish N Vasudevan, Abrar Choudhury, Melike Pekmezci, Calixto-Hope G Lucas, Joanna Phillips, Stephen T Magill, Matthew S Susko, Steve E Braunstein, Nancy Ann Oberheim Bush and 9 more

Open access · greenAbstract read
In one paragraph

Article in Neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.8field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Radiotherapy and radiosurgery for meningiomas.Neuro-oncology advances · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Radiotherapy for meningiomas.Journal of neuro-oncology · 2022
    Review
  14. Article
  15. Review
  16. 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

19 authors at 1 institution in 1 country.

William C ChenDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Harish N VasudevanDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Abrar ChoudhuryDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Melike PekmezciDepartment of Pathology, University of California San Francisco, San Francisco, California.
Calixto-Hope G LucasDepartment of Pathology, University of California San Francisco, San Francisco, California.
Joanna PhillipsDepartment of Pathology, University of California San Francisco, San Francisco, California.
Stephen T MagillDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
Matthew S SuskoDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Steve E BraunsteinDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Nancy Ann Oberheim BushDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
Lauren BoretaDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Jean L NakamuraDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Javier E Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Penny K SneedDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
Arie PerryDepartment of Pathology, University of California San Francisco, San Francisco, California.
Michael W McDermottDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
David A SolomonDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
Philip V TheodosopoulosDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California.
David R RaleighDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California.
University of California, San Francisco · US

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Understanding How Ciliary Hedgehog Signaling Causes MedulloblastomaK08CA212279 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RALEIGH, DAVID R · 2017 to 2021
$886k
Investigating the Regulation and Role of FOXM1 in Aggressive MeningiomaF30CA246808 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOUDHURY, ABRAR · 2020 to 2023
$159k
NCI NIH HHS F30 CA246808NCI NIH HHS K08 CA212279NCI NIH HHS P50 CA097257NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

backgroundPrognostic markers for meningioma are needed to risk-stratify patients and guide postoperative surveillance and adjuvant therapy.

objectiveTo identify a prognostic gene signature for meningioma recurrence and mortality after resection using targeted gene-expression analysis.

methodsTargeted gene-expression analysis was used to interrogate a discovery cohort of 96 meningiomas and an independent validation cohort of 56 meningiomas with comprehensive clinical follow-up data from separate institutions. Bioinformatic analysis was used to identify prognostic genes and generate a gene-signature risk score between 0 and 1 for local recurrence.

resultsWe identified a 36-gene signature of meningioma recurrence after resection that achieved an area under the curve of 0.86 in identifying tumors at risk for adverse clinical outcomes. The gene-signature risk score compared favorably to World Health Organization (WHO) grade in stratifying cases by local freedom from recurrence (LFFR, P < .001 vs .09, log-rank test), shorter time to failure (TTF, F-test, P < .0001), and overall survival (OS, P < .0001 vs .07) and was independently associated with worse LFFR (relative risk [RR] 1.56, 95% CI 1.30-1.90) and OS (RR 1.32, 95% CI 1.07-1.64), after adjusting for clinical covariates. When tested on an independent validation cohort, the gene-signature risk score remained associated with shorter TTF (F-test, P = .002), compared favorably to WHO grade in stratifying cases by OS (P = .003 vs P = .10), and was significantly associated with worse OS (RR 1.86, 95% CI 1.19-2.88) on multivariate analysis.

conclusionThe prognostic meningioma gene-expression signature and risk score presented may be useful for identifying patients at risk for recurrence.

Indexed as

TranscriptomeAdultAgedCohort StudiesFemaleHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeurosurgical ProceduresPrognosisRetrospective StudiesRisk FactorsBiomarkerExpressionGeneGene expressionMeningiomaPrognosticRadiationRecurrenceResectionSurvivalWHO grade

Identifiers

PMID32860417
PMCPMC7735867
OpenAlexW3082090461

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.