2022
DOI: 10.1186/s40246-022-00441-9
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Pan-cancer illumination of TRIM gene family reveals immunology regulation and potential therapeutic implications

Abstract: 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 a… Show more

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Cited by 3 publications
(2 citation statements)
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References 66 publications
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“… 39 TRIM scores were reported to be significantly associated with immune cells, especially follicular helper T cells, CD8(+) T cells, activated NK cells, and M1 and M2 macrophages, in cancer. 40 Immune cells play a crucial role in viral infection, and given that the TRIM5-encoding protein is associated with viruses, TRIM5 may function in SLE through the regulation of immune cells. TRIM5’s restriction role was in a cell-type specific manner, which has been revealed by HIV-1 infection.…”
Section: Discussionmentioning
confidence: 99%
“… 39 TRIM scores were reported to be significantly associated with immune cells, especially follicular helper T cells, CD8(+) T cells, activated NK cells, and M1 and M2 macrophages, in cancer. 40 Immune cells play a crucial role in viral infection, and given that the TRIM5-encoding protein is associated with viruses, TRIM5 may function in SLE through the regulation of immune cells. TRIM5’s restriction role was in a cell-type specific manner, which has been revealed by HIV-1 infection.…”
Section: Discussionmentioning
confidence: 99%
“…Conducting pan-cancer analysis of gene families allows for a holistic understanding of shared genetic alterations or discerning context-specific variations, uncovering divergent roles across cancer types and informing targeted therapeutic strategies tailored to the unique characteristics of individual genes within the family 30,31 . We also conducted a comprehensive pancancer analysis of kindlin genes using data from the TCGA, COSMIC, and ICGC databases across 33 cancer types (Supplementary Note 1) [32][33][34] .…”
mentioning
confidence: 99%