A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas

A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas

Low-grade glioma (LGG) is a highly aggressive disease in the skull. On the other hand, anoikis, a specific form of cell death induced by the loss of cell contact with the extracellular matrix, plays a key role in cancer metastasis. In this study, anoikis-related genes (ANRGs) were used to identify L...

Full description

Bibliographic Details
Main Authors: Songyun Zhao, Hao Chi, Wei Ji, Qisheng He, Guichuan Lai, Gaoge Peng, Xiaoyu Zhao, Chao Cheng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Brain Sciences
Subjects:
anoikis
low-grade glioma
signature
prognosis
immune microenvironment
Online Access:https://www.mdpi.com/2076-3425/12/10/1349

Similar Items

Similar Items