Validation and next-generation update of a DNA methylation–based recurrence predictor for meningioma: A multicenter prospective study

This next-generation DNA methylation-based meningioma outcome predictor significantly outperforms the 2021 WHO grading in predicting time to recurrence. We make this available as a point-and-click tool that will improve prognostication, inform patient selection for RT, and allow for molecularly stratified clinical trials.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2024-11-06
DOI
https://doi.org/10.1093/neuonc/noae236
Citations
6
Primary Topic
Meningioma and schwannoma management
Type
article
Field-Weighted Citation Impact
2.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation and next-generation update of a DNA methylation–based recurrence predictor for meningioma: A multicenter prospective study

Christopher M. Wilson, Farshad Nassiri, Aaron Cohen‐Gadol, Matthew Blackwell et al.
6 citations
Neuro-Oncology
Meningioma and schwannoma management
2.32
article

Validation and next-generation update of a DNA methylation–based recurrence predictor for meningioma: A multicenter prospective study

Christopher M. Wilson, Farshad Nassiri, Aaron Cohen‐Gadol, Matthew Blackwell, Olivia Singh, Zeel Patel, Felix Behling, Chloe Gui, Joseph G. Davis, Noah Burket, Silky Chotai, David Capper, Marcos Soares Tatagiba, Anthony Alfonso, Mohamed A. Zaazoue, Derek S. Tsang, Jill S. Barnholtz‐Sloan, Alireza Mansouri, Andrew Ajisebutu, Justin Z. Wang, Yasin Mamatjan, Mark W. B. Wilson, Kenneth Aldape, Yosef Ellenbogen, Ramneet Kaloti, Gelareh Mohammed Zadeh, Felix Ehret, Qingxia Wei, Julio Sosa, Lola B. Chambless, Jenna Koenig, Andrew Edward Sloan, Sheila Mansouri, Ghazaleh Tabatabai, Andrew Gao, Alexander Landry, Vikas Patil, Piiamaria Virtanen, Parnian Habibi, Rebecca Yakubov
article en
6 citations

Abstract

This next-generation DNA methylation-based meningioma outcome predictor significantly outperforms the 2021 WHO grading in predicting time to recurrence. We make this available as a point-and-click tool that will improve prognostication, inform patient selection for RT, and allow for molecularly stratified clinical trials.

Neuro-OncologyVol. 27(4)
University Health Network (CA), University of Toronto (CA), Washington University in St. Louis (US), Oklahoma State University Medical Center (US), Princess Margaret Cancer Centre (CA), Humboldt-Universität zu Berlin (DE), Center for Neuro-Oncology (US), German Cancer Society (DE), National Cancer Institute (US), Hertie Institute for Clinical Brain Research (DE), Center for Cancer Research (US), Neurological Surgery (US), Division of Cancer Epidemiology and Genetics, Deutsches Konsortium für Translationale Krebsforschung (DE), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), University of Tübingen (DE), Penn State Milton S. Hershey Medical Center (US), Vanderbilt University Medical Center (US)
Vanderbilt University, University of Pennsylvania, Pennsylvania State University, Deutsches Krebsforschungszentrum, Vanderbilt University Medical Center, Humboldt-Universität zu Berlin, Freie Universität Berlin, Deutschen Konsortium für Translationale Krebsforschung, Canadian Institutes of Health Research, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Center for Biomedical Informatics and Information Technology, National Cancer Institute
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Meningioma and schwannoma management
2.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.