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ABSTRACT: Background
Prognostic markers for meningioma are needed to risk-stratify patients and guide postoperative surveillance and adjuvant therapy.Objective
To identify a prognostic gene signature for meningioma recurrence and mortality after resection using targeted gene-expression analysis.Methods
Targeted 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.Results
We identified a 36-gene signature of meningioma recurrence after resection that achieved an area under the
SUBMITTER: Chen WC
PROVIDER: S-EPMC7735867 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature