Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas

Recurrence 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 lev...

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Published inNature communications Vol. 14; no. 1; pp. 5669 - 19
Main Authors Herrgott, Grayson A, Snyder, James M, She, Ruicong, Malta, Tathiane M, Sabedot, Thais S, Lee, Ian Y, Pawloski, Jacob, Podolsky-Gondim, Guilherme G, Asmaro, Karam P, Zhang, Jiaqi, Cannella, Cara E, Nelson, Kevin, Thomas, Bartow, deCarvalho, Ana C, Hasselbach, Laura A, Tundo, Kelly M, Newaz, Rehnuma, Transou, Andrea, Morosini, Natalia, Francisco, Victor, Poisson, Laila M, Chitale, Dhananjay, Mukherjee, Abir, Mosella, Maritza S, Robin, Adam M, Walbert, Tobias, Rosenblum, Mark, Mikkelsen, Tom, Kalkanis, Steven, Tirapelli, Daniela P C, Weisenberger, Daniel J, Carlotti, Jr, Carlos G, Rock, Jack, Castro, Ana Valeria, Noushmehr, Houtan
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 13.09.2023
Nature Publishing Group UK
Nature Portfolio
Subjects
Artificial Intelligence
Biopsy
Blood
Brain cancer
Central nervous system
DNA Methylation
Humans
Liquid Biopsy
Meningeal Neoplasms - diagnosis
Meningeal Neoplasms - genetics
Meningioma
Meningioma - diagnosis
Meningioma - genetics
Patients
Prognosis
Strategy
Tumors
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Abstract Recurrence 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.
AbstractList Recurrence 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.
Recurrence 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.Recurrence of meningiomas is unpredictable by current methods based on surgically removed specimens, and identification of patients likely to recur could inform treatment strategy. Here, the authors analysed DNA methylation in liquid biopsy specimens from meningioma patients to help classify recurrence risk noninvasively even before surgery.
Abstract Recurrence 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.
Recurrence 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. Recurrence of meningiomas is unpredictable by current methods based on surgically removed specimens, and identification of patients likely to recur could inform treatment strategy. Here, the authors analysed DNA methylation in liquid biopsy specimens from meningioma patients to help classify recurrence risk noninvasively even before surgery.
Recurrence 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.Recurrence 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.
Abstract Recurrence 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.
ArticleNumber 5669
Author Thomas, Bartow
Rock, Jack
Tundo, Kelly M
Poisson, Laila M
Lee, Ian Y
Kalkanis, Steven
Hasselbach, Laura A
Podolsky-Gondim, Guilherme G
Carlotti, Jr, Carlos G
Malta, Tathiane M
Herrgott, Grayson A
Snyder, James M
Asmaro, Karam P
Zhang, Jiaqi
Mosella, Maritza S
Castro, Ana Valeria
Pawloski, Jacob
Cannella, Cara E
Transou, Andrea
Mukherjee, Abir
Newaz, Rehnuma
Sabedot, Thais S
deCarvalho, Ana C
Tirapelli, Daniela P C
Noushmehr, Houtan
Rosenblum, Mark
Chitale, Dhananjay
Mikkelsen, Tom
Nelson, Kevin
She, Ruicong
Morosini, Natalia
Francisco, Victor
Weisenberger, Daniel J
Robin, Adam M
Walbert, Tobias
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/37704607$$D View this record in MEDLINE/PubMed
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Snippet Recurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to recur using...
Abstract Recurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to...
Abstract Recurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to...
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SubjectTerms Artificial Intelligence
Biopsy
Blood
Brain cancer
Central nervous system
DNA Methylation
Humans
Liquid Biopsy
Meningeal Neoplasms - diagnosis
Meningeal Neoplasms - genetics
Meningioma
Meningioma - diagnosis
Meningioma - genetics
Patients
Prognosis
Strategy
Tumors
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Title Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas
URI https://www.ncbi.nlm.nih.gov/pubmed/37704607
https://www.proquest.com/docview/2864389754/abstract/
https://www.proquest.com/docview/2864899334/abstract/
https://pubmed.ncbi.nlm.nih.gov/PMC10499807
https://doaj.org/article/d702b94546f74016b63743f1d7fefc6e
Volume 14
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