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Profiles of immune‐related genes and immune cell infiltration in the tumor microenvironment of diffuse lower‐grade gliomas
Author(s) -
Deng Xiangyang,
Lin Dongdong,
Zhang Xiaojia,
Shen Xuchao,
Yang Zelin,
Yang Liang,
Lu Xiangqi,
Yu Lisheng,
Zhang Nu,
Lin Jian
Publication year - 2020
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.29633
Subject(s) - immune system , tumor microenvironment , stromal cell , infiltration (hvac) , biology , glioma , gene , cd8 , cancer research , immunology , genetics , physics , thermodynamics
The tumor microenvironment is highly correlated with tumor occurrence, progress, and prognosis. We aimed to investigate the immune‐related gene (IRG) expression and immune infiltration pattern in the tumor microenvironment of lower‐grade glioma (LGG). We employed the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm to calculate immune and stromal scores and identify prognostic IRG based on The Cancer Genome Atlas data set. The potential molecular functions of these genes were explored with the help of functional enrichment analysis and the protein–protein interaction network. Remarkably, three cohorts that were downloaded from the Chinese Glioma Genome Atlas database were analyzed to further verify the prognostic values of these genes. Moreover, the Tumor IMmune Estimation Resource (TIMER) algorithm was used to estimate the abundance of infiltrating immune cells and explore the immune infiltration pattern in LGG. And unsupervised cluster analysis determined three clusters of the immune infiltration pattern and indicated that CD8 + T cells and macrophages were significantly associated with LGG outcomes. Altogether, our study identified a list of prognostic IRGs and provided a perspective to explore the immune infiltration pattern in LGG.