Pan-cancer illumination of TRIM gene family reveals immunology regulation and potential therapeutic implications

被引:6
作者
Gao, Yueying [1 ,2 ]
Pan, Tao [1 ,2 ]
Xu, Gang [2 ]
Li, Si [2 ]
Guo, Jing [2 ]
Zhang, Ya [2 ]
Xu, Qi [2 ]
Pan, Jiwei [2 ]
Ma, Yanlin [1 ]
Xu, Juan [3 ]
Li, Yongsheng [1 ,2 ]
机构
[1] Hainan Med Univ, Affiliated Hosp 1, Reprod Med Ctr, Natl Ctr Int Res,Hainan Prov Key Lab Human Reprod, Haikou 571199, Hainan, Peoples R China
[2] Hainan Med Univ, Coll Biomed Informat & Engn, Haikou 571199, Hainan, Peoples R China
[3] Harbin Med Univ, Coll Bioinformat Sci & Technol, Harbin 150081, Heilongjiang, Peoples R China
基金
中国国家自然科学基金; 海南省自然科学基金; 国家重点研发计划;
关键词
TRIM genes; Pan-cancer; Immune pathways; Immunotherapy response; UBIQUITIN; EXPRESSION; IMMUNITY; DEGRADATION; METHYLATION; AUTOPHAGY; PROTEINS; TUMORS; AMPK;
D O I
10.1186/s40246-022-00441-9
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: The tripartite motif (TRIM) proteins function as important regulators in innate immunity, tumorigenesis, cell differentiation and ontogenetic development. However, we still lack knowledge about the genetic and transcriptome alterations landscape of TRIM proteins across cancer types.Methods: We comprehensively reviewed and characterized the perturbations of TRIM genes across > 10,000 samples across 33 cancer types. Genetic mutations and transcriptome of TRIM genes were analyzed by diverse computational methods. A TRIMs score index was calculated based on the expression of TRIM genes. The correlation between TRIMs scores and clinical associations, immune cell infiltrations and immunotherapy response were analyzed by correlation coefficients and gene set enrichment analysis.Results: Alterations in TRIM genes and protein levels frequently emerge in a wide range of tumors and affect expression of TRIM genes. In particular, mutations located in domains are likely to be deleterious mutations. Perturbations of TRIM genes are correlated with expressions of immune checkpoints and immune cell infiltrations, which further regulated the cancer- and immune-related pathways. Moreover, we proposed a TRIMs score index, which can accurately predict the clinical outcome of cancer patients. TRIMs scores of patients are correlated with clinical survival and immune therapy response across cancer types. Identifying the TRIM genes with genetic and transcriptome alterations will directly contribute to cancer therapy in the context of predictive, preventive, and personalized medicine.Conclusions: Our study provided a comprehensive analysis and resource for guiding both mechanistic and therapeutic analyses of the roles of TRIM genes in cancer.
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页数:15
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