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Dataset Information

Rapid DNA methylation-based classification of pediatric brain tumors from ultrasonic aspirate specimens.


ABSTRACT:

Background

Although cavitating ultrasonic aspirators are commonly used in neurosurgical procedures, the suitability of ultrasonic aspirator-derived tumor material for diagnostic procedures is still controversial. Here, we explore the feasibility of using ultrasonic aspirator-resected tumor tissue to classify otherwise discarded sample material by fast DNA methylation-based analysis using low pass nanopore whole genome sequencing.

Methods

Ultrasonic aspirator-derived specimens from pediatric patients undergoing brain tumor resection were subjected to low-pass nanopore whole genome sequencing. DNA methylation-based classification using a neural network classifier and copy number variation analysis were performed. Tumor purity was estimated from copy number profiles. Results we

SUBMITTER: Simon M 

PROVIDER: S-EPMC11269392 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature