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Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma

INTRODUCTION: 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 progno...

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Autores principales: Wu, Lingyun, Yin, Xin, Jiang, Kan, Yin, Jie, Yu, Hao, Yang, Lingling, Ma, Chiyuan, Yan, Senxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986146/
https://www.ncbi.nlm.nih.gov/pubmed/35142083
http://dx.doi.org/10.1002/cam4.4552
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author Wu, Lingyun
Yin, Xin
Jiang, Kan
Yin, Jie
Yu, Hao
Yang, Lingling
Ma, Chiyuan
Yan, Senxiang
author_facet Wu, Lingyun
Yin, Xin
Jiang, Kan
Yin, Jie
Yu, Hao
Yang, Lingling
Ma, Chiyuan
Yan, Senxiang
author_sort Wu, Lingyun
collection PubMed
description INTRODUCTION: 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.
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spelling pubmed-89861462022-04-11 Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma Wu, Lingyun Yin, Xin Jiang, Kan Yin, Jie Yu, Hao Yang, Lingling Ma, Chiyuan Yan, Senxiang Cancer Med Bioinformatics INTRODUCTION: 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. Blackwell Publishing Ltd 2022-02-09 /pmc/articles/PMC8986146/ /pubmed/35142083 http://dx.doi.org/10.1002/cam4.4552 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Bioinformatics
Wu, Lingyun
Yin, Xin
Jiang, Kan
Yin, Jie
Yu, Hao
Yang, Lingling
Ma, Chiyuan
Yan, Senxiang
Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title_full Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title_fullStr Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title_full_unstemmed Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title_short Comprehensive profiling of the TRIpartite motif family to identify pivot genes in hepatocellular carcinoma
title_sort comprehensive profiling of the tripartite motif family to identify pivot genes in hepatocellular carcinoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986146/
https://www.ncbi.nlm.nih.gov/pubmed/35142083
http://dx.doi.org/10.1002/cam4.4552
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