The identification of key genes and pathways in glioblastoma by bioinformatics analysis
GBM is the most common and aggressive type of brain tumor. It is classified as a grade IV tumor by the WHO, the highest grade. Prognosis is generally poor, with most patients surviving only about a year. Only 5% of patients survive longer than 5 years. Understanding the molecular mechanisms that dri...
Main Authors: | Zahra Farsi, Najaf Allahyari Fard |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
|
Series: | Molecular & Cellular Oncology |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23723556.2023.2246657 |
Similar Items
-
Bioinformatics analysis identifies key genes of
prognostic value in lung cancer
by: Dan Song, et al.
Published: (2023-07-01) -
Identification of key genes and therapeutic drugs for cocaine addiction using integrated bioinformatics analysis
by: Xu Wang, et al.
Published: (2023-07-01) -
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis
by: Yaoyao Bian, et al.
Published: (2019-02-01) -
Bioinformatics analysis of potential key ferroptosis-related genes involved in tubulointerstitial injury in patients with diabetic nephropathy
by: Li-Li Ma, et al.
Published: (2023-12-01) -
Identification of Key Genes and Pathways in RBCK1 Deficient patients by Gene Expression Profiling
by: Khyber Shinwari, et al.
Published: (2021-07-01)