Identification of a seven-gene prognostic model for renal cell carcinoma associated with CD8+T lymphocyte cell

被引:0
|
作者
Liu, Jingbang [1 ]
Jiang, Tao [1 ]
机构
[1] Dalian Med Univ, Affiliated Hosp 2, Dept Urol, Dalian 116000, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
bioinformatics; CD8+T lymphocytes; renal cell carcinoma; tumor adaptive immunity; tumor microenvironment; INFILTRATION;
D O I
10.1097/MD.0000000000039938
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
CD8+ T lymphocytes are important elements of the tumor microenvironment, hence their involvement in the development and progression of tumors is complex. Data on the precise tumor-infiltrating lymphocytes gene signature in renal cell carcinoma (RCC) remain limited. Therefore, this study created a tumor-infiltrating lymphocytes-related predictive model for patients with RCC using data from The Cancer Genome Atlas. The most important genes associated with CD8 + T lymphocytes were identified using weighted gene co-expression network analysis. Functional categories of important genes were revealed using gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes signaling pathway analyses. A CD8 + T lymphocyte-related prognostic model with 7 important genes was simultaneously created using the least absolute shrinkage and selection operator, univariate and multivariate Cox regressions, and the 7 genes were expressed particularly in CD8 + T lymphocytes according to single-cell sequencing data obtained from the Gene Expression Omnibus. This study identified a seven-gene prognostic model associated with CD8 + T lymphocytes that may significantly influence risk stratification in patients with RCC. The genes included in the model are apolipoprotein B mRNA editing catalytic polypeptide 3G, CD3 gamma, eomesodermin, protein tyrosine phosphatase, non-receptor type 7, signal regulatory protein gamma, Fas ligand, and T-cell immunoreceptor with Ig and ITIM domains.
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页数:9
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