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Immune Characteristics and Prognosis Analysis of the Proteasome 20S Subunit Beta 9 in Lower-Grade Gliomas.
Liu, Junzhe; Yang, Xinyu; Ji, Qiankun; Yang, Lufei; Li, Jingying; Long, Xiaoyan; Ye, Minhua; Huang, Kai; Zhu, Xingen.
Afiliação
  • Liu J; Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Yang X; Institute of Neuroscience, Nanchang University, Nanchang, China.
  • Ji Q; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China.
  • Yang L; Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Li J; Institute of Neuroscience, Nanchang University, Nanchang, China.
  • Long X; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China.
  • Ye M; Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Huang K; Institute of Neuroscience, Nanchang University, Nanchang, China.
  • Zhu X; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China.
Front Oncol ; 12: 875131, 2022.
Article em En | MEDLINE | ID: mdl-35928883
Glioma is a common intracranial malignancy in adults and has a high mortality due to its poor prognosis and high recurrence rate. Dysregulation of protein degradation is one of the main promoting factors in glioma development. As an indispensable unit of the proteasome, Proteasome 20S Subunit Beta 9 (PSMB9) is one of the major enzymes in ubiquitin-dependent protein degradation in cells. In addition, proteasomes also participate in a series of cellular processing, like immune regulation, nerve signal transduction, material transport through channels, cell adhesion, and various signaling pathways. However, the relationship between the PSMB9 expression and the occurrence of lower-grade glioma (LGG) is still unknown. First, we collected the RNA-seq and clinical information about LGG clinical samples from The Cancer Genome Atlas (TCGA) cohort, Chinese Glioma Genome Atlas (CGGA; including CGGAseq1 and CGGAseq2) cohort, and Gene Expression Omnibus (GEO; GSE16011, GSE61374, and Rembrandt) cohort. Then, these data were used for differential analysis, survival analysis, enrichment analysis, clinical model construction, etc. In addition, we combine immune-related data for immune-related analysis, including immune infiltration and immunotherapy. Through the above research, we have provided a new biomarker for LGG prognosis prediction and more comprehensively explained the role of PSMB9 in the development of LGG. This study determined that PSMB9 can be used as an immunotherapy target through the analysis of immune data, providing new ideas for the clinical treatment of LGG.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article