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Dataset Information

Cerebrospinal fluid methylome-based liquid biopsies for accurate malignant brain neoplasm classification.


ABSTRACT:

Background

Resolving the differential diagnosis between brain metastases (BM), glioblastomas (GBM), and central nervous system lymphomas (CNSL) is an important dilemma for the clinical management of the main three intra-axial brain tumor types. Currently, treatment decisions require invasive diagnostic surgical biopsies that carry risks and morbidity. This study aimed to utilize methylomes from cerebrospinal fluid (CSF), a biofluid proximal to brain tumors, for reliable non-invasive classification that addresses limitations associated with low target abundance in existing approaches.

Methods

Binomial GLMnet classifiers of tumor type were built, in fifty iterations of 80% discovery sets, using CSF methylomes obtained from 57 BM, GBM, CNSL, and non-neoplastic control patients.

SUBMITTER: Zuccato JA 

PROVIDER: S-EPMC10398815 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature