Systematic Profiling of Alternative mRNA Splicing Signature for Predicting Glioblastoma Prognosis
Emerging evidence suggests that alternative splicing (AS) is modified in cancer and is associated with cancer progression. Systematic analysis of AS signature in glioblastoma (GBM) is lacking and is greatly needed. We profiled genome-wide AS events in 498 GBM patients in TCGA using RNA-seq data, and...
Main Authors: | Xueran Chen, Chenggang Zhao, Bing Guo, Zhiyang Zhao, Hongzhi Wang, Zhiyou Fang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-09-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00928/full |
Similar Items
-
Specific Glioma Prognostic Subtype Distinctions Based on DNA Methylation Patterns
by: Xueran Chen, et al.
Published: (2019-09-01) -
The Nomogram Model Predicting Overall Survival and Guiding Clinical Decision in Patients With Glioblastoma Based on the SEER Database
by: Hongjian Li, et al.
Published: (2020-06-01) -
A Novel 16-Genes Signature Scoring System as Prognostic Model to Evaluate Survival Risk in Patients with Glioblastoma
by: Zunpeng Yu, et al.
Published: (2022-01-01) -
Role of alternative splicing signatures in the prognosis of glioblastoma
by: Zu‐cheng Xie, et al.
Published: (2019-12-01) -
Prognostic impact of a lymphocyte activation-associated gene signature in GBM based on transcriptome analysis
by: Yujia Lan, et al.
Published: (2021-08-01)