Evidence map›Paper›PMID 36993741›Full record

ArticleResearch square2023

Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses.

David Raleigh, William Chen, Abrar Choudhury, Mark Youngblood, Mei-Yin Polley, Calixto-Hope Lucas, Kanish Mirchia, Sybren Maas, Abigail Suwala, Minhee Won and 47 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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
–field-weighted citation impact
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, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

57 authors at 17 institutions in 7 countries.

David RaleighUniversity of California San Francisco.ORCID 0000-0001-9299-8864
William ChenUCSF.
Abrar ChoudhuryUniversity of California, San Francisco.ORCID 0000-0001-8312-2457
Mark YoungbloodNorthwestern University.ORCID 0000-0002-1044-8015
Mei-Yin PolleyNRG Statistics and Data Management Center.
Calixto-Hope LucasJohns Hopkins.
Kanish MirchiaMayo Clinic.
Sybren MaasLeiden University Medical Center.
Abigail SuwalaHeidelberg University Hospital.
Minhee WonNRG Statistics and Data Management Center.
James BayleyBaylor College of Medicine.
Akdes HarmanciBaylor College of Medicine.
Arif HarmanciTHE UNIV OF TX HEATH SCIENCE CTR.
Tiemo KlischBaylor College of Medicine.
Minh NguyenUniversity of California San Francisco.
Harish VasudevanUniversity of California San Francisco.
Kathleen McCortneyNorthwestern University.
Theresa YuUniversity of California San Francisco.
Varun BhaveBrigham and Women's Hospital.
Tai-Chung LamThe University of Hong Kong.
Jenny PuThe University of Hong Kong.
Gilberto LeungThe University of Hong Kong.ORCID 0000-0003-3147-3057
Jason ChangUniversity of California San Francisco.
Haley PerlowThe Ohio State University.
Joshua PalmerThe Ohios State University James Comprehensive Cancer Center.ORCID 0000-0003-3311-0129
Christine HaberlerMedical University of Vienna.
Anna BerghoffMedical University of Vienna.ORCID 0000-0001-9379-6797
Matthias PreusserMedical University of Vienna.ORCID 0000-0003-3541-2315
Theodore NicolaidesCaris Life Sciences.
Christian MawrinUniversity Hospital Magdeburg.
Sameer AgnihotriSonia and Arthur Labatt Brain Tumour Research Centre.
Adam ResnickThe Children's Hospital of Philadelphia.
Brian RoodCenter for Cancer and Immunology Research, Children's National Research Institute.
Jessica ChewUniversity of California San Francisco.
Jacob YoungUniversity of California San Francisco.
Lauren BoretaUniversity of California San Francisco.
Steve BraunsteinDepartment of Radiation Oncology, University of California San Francisco, San Francisco California.
Jessica SchulteUniversity of California San Diego.
Nicholas ButowskiUniversity of California, San Francisco.
Sandro SantagataBrigham and Women's Hospital.ORCID 0000-0002-7528-9668
David SpetzlerCaris Life Sciences International.
Nancy Ann Oberheim BushUniversity of California San Francisco.
Javier Villanueva-MeyerUCSF.
James ChandlerNorthwestern University.
David SolomonUniversity of California, San Francisco.ORCID 0000-0003-4571-7999
C RogersNRG Statistics and Data Management Center.
Stephanie PughNRG Oncology Statistics and Data Management Center.
Minesh MehtaNRG Statistics and Data Management Center.
Penny SneedUniversity of California San Francisco.
Mitchel BergerUniversity of California San Francisco (UCSF).
Craig HorbinskiNorthwestern University.ORCID 0000-0001-8340-9992
Michael McDermottBaptist Health.
Wenya BiBrigham and Women's Hospital.
Akash PatelBaylor College of Medicine.
Felix SahmUniversity Hospital Heidelberg.ORCID 0000-0001-5441-1962
Stephen MagillNorthwestern University.
University of California, San Francisco · USBaylor College of Medicine · USNRG Oncology · USBrigham and Women's Hospital · USMedical University of Vienna · ATUniversidad Católica de Santa Fe · ARUniversity of Hong Kong · HKCaris Life Sciences (United States) · USHeidelberg University · DEBrain Tumour Research · GBChildren's Hospital of Philadelphia · USLeiden University Medical Center · NLThe Ohio State University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity Hospital Magdeburg · DEUniversity of California San Diego · USWinnMed · 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
STINGing GBM: A First-in- Man Clinical Trial in Surgical Resectable Recurrent GBMP50CA221747 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Pouya Jamshidi · 2018 to 2026
$21.4M
Understanding druggable drivers of meningioma tumorigenesisR01CA262311 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RALEIGH, DAVID R · 2021 to 2025
$2.7M
Investigating the Regulation and Role of FOXM1 in Aggressive MeningiomaF30CA246808 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOUDHURY, ABRAR · 2020 to 2023
$159k
Development of a molecular diagnostic and prognostic signature for meningiomaF32CA213944 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAGILL, STEPHEN T · 2017 to 2017
$63k
NCI NIH HHS F30 CA246808NCI NIH HHS F32 CA213944NCI NIH HHS P50 CA097257NCI NIH HHS P50 CA221747NCI NIH HHS R01 CA262311NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

Background: Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and current indications for postoperative radiotherapy are controversial. Recent studies have proposed prognostic meningioma classification systems using DNA methylation profiling, copy number variants, DNA sequencing, RNA sequencing, histology, or integrated models based on multiple combined features. Targeted gene expression profiling has generated robust biomarkers integrating multiple molecular features for other cancers, but is understudied for meningiomas. Methods: Targeted gene expression profiling was performed on 173 meningiomas and an optimized gene expression biomarker (34 genes) and risk score (0 to 1) was developed to predict clinical outcomes. Clinical and analytical validation was performed on independent meningiomas from 12 institutions across 3 continents (N = 1856), including 103 meningiomas from a prospective clinical trial. Gene expression biomarker performance was compared to 9 other classification systems. Results: The gene expression biomarker improved discrimination of postoperative meningioma outcomes compared to all other classification systems tested in the independent clinical validation cohort for local recurrence (5-year area under the curve [AUC] 0.81) and overall survival (5-year AUC 0.80). The increase in area under the curve compared to the current standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval [CI] 0.07-0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% CI 0.37-0.78, P = 0.0001) and re-classified up to 52.0% meningiomas compared to conventional clinical criteria, suggesting postoperative management could be refined for 29.8% of patients. Conclusions: A targeted gene expression biomarker improves discrimination of meningioma outcomes compared to recent classification systems and predicts postoperative radiotherapy responses.

Indexed as

Biomarkerbraincancercentral nervous systemgene expressiongenomicsmeningiomaradiationradiotherapytumor

Identifiers

PMID36993741
PMCPMC10055655
OpenAlexW4327914781

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.