Establishment and validation of an immune-based prognostic score model in glioblastoma.

International Immunopharmacology
Zhigang QinNaijie Liu

Abstract

Immune escape is one of the landmark features of glioblastoma (GBM). Immunotherapy is undoubtedly a revolution in the field of tumor treatment, especially the application of immune checkpoint inhibitors and CAR-T cells, which have achieved amazing results in fighting against cancer. This study aimed to establish a TP53-related immune-based score model to improve the prognostic of GBM by investigating the gene mutations and the immune landscape of GBM. Data were obtained from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases. Differentially expressed genes (DEGs) analysis between the TP53 mutated (TP53MUT) and wild-type (TP53WT) GBM patients was conducted. The CIBERSORT algorithm was applied to evaluate the proportion of immune cell types and RNA sequencing (RNA-seq) data from the TCGA and CGGA were used as discovery and validation cohorts, respectively, to build and validate an immune-related prognostic model (IPM). Genes in the IPM model were first screened by univariate Cox analysis, then filtered by the least absolute shrinkage and selection operator (LASSO) Cox regression method to eliminate collinearity among DEGs. A nomogram was finally established and evaluated by combining both the IPM ...Continue Reading

Citations

Nov 27, 2020·Frontiers in Cell and Developmental Biology·Shengchao XuZhixiong Liu
Jan 8, 2021·Frontiers in Immunology·Yin Qiu TanHong Bo Zhang
Feb 18, 2021·Journal of Cellular and Molecular Medicine·Yi ZhengWen-Bin Li
Mar 21, 2021·Molecular and Cellular Biochemistry·Ling-Zhi HongXue Jin
Apr 17, 2021·Frontiers in Oncology·Sheng Wang, Xia Xu
Aug 26, 2021·Patterns·Óscar Lapuente-SantanaFederica Eduati

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