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- Title
Large-scale bulk RNA-seq analysis defines immune evasion mechanism related to mast cell in gliomas.
- Authors
Rui Chen; Wantao Wu; Tao Liu; Yihan Zhao; Yifan Wang; Hao Zhang; Zeyu Wang; Ziyu Dai; Xiaoxi Zhou; Peng Luo; Jian Zhang; Zaoqu Liu; Li-Yang Zhang; Quan Cheng
- Abstract
Accumulating evidence has demonstrated that the immune cells have an emerging role in controlling anti-tumor immune responses and tumor progression. The comprehensive role of mast cell in glioma has not been illustrated yet. In this study, 1,991 diffuse glioma samples were collected from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA). xCell algorithm was employed to define the mast cell-related genes. Based on mast cell-related genes, gliomas were divided into two clusters with distinct clinical and immunological characteristics. The survival probability of cluster 1 was significantly lower than that of cluster 2 in the TCGA dataset, three CGGA datasets, and the Xiangya cohort. Meanwhile, the hypoxic and metabolic pathways were active in cluster 1, which were beneficial to the proliferation of tumor cells. A potent prognostic model based on mast cell was constructed. Via machine learning, DRG2 was screened out as a characteristic gene, which was demonstrated to predict treatment response and predict survival outcome in the Xiangya cohort. In conclusion, mast cells could be used as a potential effective prognostic factor for gliomas.
- Subjects
MAST cells; GLIOMAS; RNA sequencing; PROGNOSTIC models; PROGNOSIS
- Publication
Frontiers in Immunology, 2022, Vol 12, p1
- ISSN
1664-3224
- Publication type
Article
- DOI
10.3389/fimmu.2022.914001