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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Characterization of Prognostic Apoptosis-Related Gene Signature to Evaluate Glioma Immune Microenvironment and
Hao Yu1, Jiapeng Yu1, Minjie Wang1
1Department of Neurosurgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Recently, apoptosis-related genes were shown to modulate cancer immunity. However, the role of apoptosis-related genes in the glioma immune microenvironment (GIME) remains unknown. This study aimed to explore the prognostic value of apoptosis-related genes in glioma. Doxorubicin was used to induce glioma cell apoptosis, and four differentially expressed apoptosis-related genes were identified: CREM, TNFSF12, PEA15, and PRKCD. Kaplan-Meier analyses, receiver operating characteristic curve analyses, and nomograms were established to determine the relationship between risk markers and the prognosis of patients with glioma. Risk biomarkers were significantly associated with overall survival, immune cell infiltration, and immune checkpoints in patients with glioma. Somatic mutations and anti-PD-1/L1 immunotherapy were associated with worse prognosis in the high-risk group receiving anti-PD-1/L1 therapy. The expression of these four apoptosis-related genes was verified using quantitative polymerase chain reaction and immunohistochemistry, and the relationship between these four genes and apoptosis was examined using flow cytometry. This study suggests that apoptosis-related genes play a critical role in shaping the GIME. Assessing the apoptotic patterns of individual tumors will enhance our understanding of GIME infiltration features and lead to improved strategies for immunotherapy.

