Intraoperative DNA methylation classification of brain tumors impacts neurosurgical strategy.

ABSTRACT:

Background

Brain tumor surgery must balance the benefit of maximal resection against the risk of inflicting severe damage. The impact of increased resection is diagnosis-specific. However, the precise diagnosis is typically uncertain at surgery due to limitations of imaging and intraoperative histomorphological methods. Novel and accurate strategies for brain tumor classification are necessary to support personalized intraoperative neurosurgical treatment decisions. Here, we describe a fast and cost-efficient workflow for intraoperative classification of brain tumors based on DNA methylation profiles generated by low coverage nanopore sequencing and machine learning algorithms.

Methods

We evaluated 6 independent cohorts containing 105 patients, including 50 pediatric and 55

SUBMITTER: Djirackor L 

PROVIDER: S-EPMC8557693 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature