Classifying Glioma via Liquid Biopsy: Progress toward an Unmet Clinical Need.

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)

The diagnosis and classification of glioma by liquid biopsy represent a critical unmet need in neuro-oncology. A recent study demonstrates targeted next-generation sequencing of cell-free DNA from cerebrospinal fluid as an evolving option for liquid biopsy in patients with glioma. See related article by Iser et al., p. 2974.

Keyphrases

ultrasound guided
fine needle aspiration
cerebrospinal fluid
ionic liquid
machine learning
palliative care
deep learning
copy number
gene expression
cancer therapy
circulating tumor cells