Open Access<p>Identification of Aberrantly Expressed Genes in Murine Glioblastoma During Radiotherapy via Bioinformatic Data Mining</p>
Author(s) -
Xihe Zhao,
Chenxi Li,
Lei Liu,
Huawei Zou,
Kai Li
Publication year - 2020
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s247794
Subject(s) - glioblastoma , identification (biology) , gene , cancer research , computational biology , medicine , bioinformatics , biology , genetics , botany
Glioblastoma (GBM) is an aggressive tumor with a fast growth rate. Radioresistance of GBM can lead to high recurrence. In general, due to the protection of the blood-brain barrier, the immune environment of the central nervous system is unique. The immune response induced by radiotherapy is weak in GBM. In the present study, aberrantly expressed genes during radiotherapy were assessed in murine models based on microarray RNA data.