Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas.
Publication/Presentation Date
9-13-2023
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.
Volume
14
Issue
1
First Page
5669
Last Page
5669
ISSN
2041-1723
Published In/Presented At
Herrgott, G. A., Snyder, J. M., She, R., Malta, T. M., Sabedot, T. S., Lee, I. Y., Pawloski, J., Podolsky-Gondim, G. G., Asmaro, K. P., Zhang, J., Cannella, C. E., Nelson, K., Thomas, B., deCarvalho, A. C., Hasselbach, L. A., Tundo, K. M., Newaz, R., Transou, A., Morosini, N., Francisco, V., … Noushmehr, H. (2023). Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas. Nature communications, 14(1), 5669. https://doi.org/10.1038/s41467-023-41434-z
Disciplines
Medicine and Health Sciences
PubMedID
37704607
Department(s)
Department of Pathology and Laboratory Medicine
Document Type
Article