Open AccessComprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
Author(s) -
Wu Lingyun,
Yin Xin,
Jiang Kan,
Yin Jie,
Yu Hao,
Yang Lingling,
Ma Chiyuan,
Yan Senxiang
Publication year - 2022
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.4552
Subject(s) - hepatocellular carcinoma , gene , biology , gene expression profiling , human protein atlas , survival analysis , cancer research , bioinformatics , genetics , gene expression , computational biology , medicine , protein expression
TRIpartite motif (TRIM) proteins are important members of the Really Interesting New Gene‐finger‐containing E3 ubiquitin‐conjugating enzyme and are involved in the progression of hepatocellular carcinoma (HCC). However, the diverse expression patterns of TRIMs and their roles in prognosis and immune infiltrates in HCC have yet to be analyzed. Materials Combined with previous research, we used an Oncomine database and the Human Protein Atlas to compare TRIM family genes' transcriptional levels between tumor samples and normal liver tissues, as verified by the Gene Expression Profiling Interactive Analysis database. We investigated the patient survival data of TRIMs from the Kaplan–Meier plotter database. Clinicopathologic characteristics associations and potential diagnostic and prognostic values were validated with clinical and expressional data collected from the cancer genome atlas. Results We identified TRIM28, TRIM37, TRIM45, and TRIM59 as high‐priority members of the TRIMs family that modulates HCC. Low expression of TRIM28 was associated with shorter overall survival (OS) than high expression (log‐rank p = 0.009). The same trend was identified for TRIM37 ( p = 0.001), TRIM45 ( p = 0.013), and TRIM59 ( p = 0.011). Multivariate analysis indicated that the level of TRIM37 was a significant independent prognostic factor for both OS ( p = 0.043) and progression‐free interval ( p = 0.044). We performed expression and mutation analysis and functional pathways and tumor immune infiltration analysis of the changes in TRIM factors. Conclusion These data suggested that TRIM28, TRIM37, TRIM45, and TRIM59 could serve as efficient prognostic biomarkers and therapeutic targets in HCC.