Glioma stem cell signature predicts the prognosis and the response to tumor treating fields treatment.

ABSTRACT:

Introduction

Glioma stem cells (GSCs) play an important role in glioma recurrence and chemo-radiotherapy (CRT) resistance. Currently, there is a lack of efficient treatment approaches targeting GSCs. This study aimed to explore the potential personalized treatment of patients with GSC-enriched gliomas.

Methods

Single-cell RNA sequencing (scRNA-seq) was used to identify the GSC-related genes. Then, machine learning methods were applied for clustering and validation. The least absolute shrinkage and selection operator (LASSO) and COX regression were used to construct the risk scores. Survival analysis was performed. Additionally, the incidence of chemo-radiotherapy resistance, immunotherapy status, and tumor treating field (TTF) therapy response were evaluated in high- and low

SUBMITTER: Chen B 

PROVIDER: S-EPMC9627385 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature