Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas
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Published:2023-09-13
Issue:1
Volume:14
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Herrgott Grayson A., Snyder James M., She Ruicong, Malta Tathiane M., Sabedot Thais S., Lee Ian Y., Pawloski Jacob, Podolsky-Gondim Guilherme G.ORCID, Asmaro Karam P., Zhang Jiaqi, Cannella Cara E., Nelson Kevin, Thomas Bartow, deCarvalho Ana C.ORCID, Hasselbach Laura A., Tundo Kelly M., Newaz Rehnuma, Transou Andrea, Morosini Natalia, Francisco Victor, Poisson Laila M.ORCID, Chitale DhananjayORCID, Mukherjee Abir, Mosella Maritza S., Robin Adam M., Walbert TobiasORCID, Rosenblum Mark, Mikkelsen Tom, Kalkanis Steven, Tirapelli Daniela P. C., Weisenberger Daniel J.ORCID, Carlotti Carlos G., Rock Jack, Castro Ana ValeriaORCID, Noushmehr Houtan
Abstract
AbstractRecurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to recur using noninvasive approaches could inform treatment strategy, whether intervention or monitoring. In this study, we analyze the DNA methylation levels in blood (serum and plasma) and tissue samples from 155 meningioma patients, compared to other central nervous system tumor and non-tumor entities. We discover DNA methylation markers unique to meningiomas and use artificial intelligence to create accurate and universal models for identifying and predicting meningioma recurrence, using either blood or tissue samples. Here we show that liquid biopsy is a potential noninvasive and reliable tool for diagnosing and predicting outcomes in meningioma patients. This approach can improve personalized management strategies for these patients.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference85 articles.
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