Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma.
Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma.
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TRIM家族在肝细胞癌中的预后价值综合分析
DOI：
10.3389/fonc.2021.767644
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发表时间：
2021
影响因子：
4.7
通讯作者：
Wang J
中科院分区：
文献类型：
--
作者：
Dai W;Wang J;Wang Z;Xiao Y;Li J;Hong L;Pei M;Zhang J;Yang P;Wu X;Tang W;Jiang X;Jiang P;Xiang L;Li A;Lin J;Liu S;Wang J
背景越来越多的研究表明，TRIM家族的某些成员在多种癌症中的异常表达及其预后价值。然而，TRIM家族在肝细胞癌（HCC）中的综合预后价值尚未明确定义。方法基于美国癌症基因组图谱（TCGA）和基因表达图谱（GEO）数据库中肝癌的基因表达数据和临床资料，采用生存分析和单因素Cox回归分析评估TRIM家族的预后价值。多个公共数据库探索了TRIM家族的表达谱、蛋白-蛋白相互作用、转录因子（TFs）或mirna的预测、遗传改变、与癌症和免疫浸润标志的相关性以及途径富集分析。此外，通过使用最小绝对收缩和选择算子（LASSO）回归，建立了预测HCC总生存期（OS）的TRIM家族基因特征。采用TCGA-Liver hepatellular Carcinoma （LIHC）队列作为训练集，采用GSE76427进行外部验证。使用时间相关的受试者工作特征（ROC）和生存分析来估计特征。最后，建立TRIM家族风险评分与临床参数相结合的nomogram。结果TRIM3、TRIM5、MID1、TRIM21、TRIM27、TRIM32、TRIM44、TRIM47、TRIM72等TRIM家族成员的高表达与HCC患者不良OS有显著相关性。建立了一种新的基于TRIM家族基因的特征（包括TRIM5、MID1、TRIM21、TRIM32、TRIM44和TRIM47），用于HCC的OS预测。ROC曲线表明该特征在OS预测中表现良好。基于签名，高危组HCC患者的OS较低危组患者差。建立TRIM家庭风险评分、年龄和TNM分期的nomogram。ROC曲线显示，该签名比没有TRIM家族风险评分的相似模型具有更好的辨别能力。结论本研究确定了TRIM家族在HCC预后预测中的潜在应用价值。
Background Accumulating studies have demonstrated the abnormal expressions and prognostic values of certain members of the tripartite motif (TRIM) family in diverse cancers. However, comprehensive prognostic values of the TRIM family in hepatocellular carcinoma (HCC) are yet to be clearly defined. Methods The prognostic values of the TRIM family were evaluated by survival analysis and univariate Cox regression analysis based on gene expression data and clinical data of HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The expression profiles, protein–protein interaction among the TRIM family, prediction of transcription factors (TFs) or miRNAs, genetic alterations, correlations with the hallmarks of cancer and immune infiltrates, and pathway enrichment analysis were explored by multiple public databases. Further, a TRIM family gene-based signature for predicting overall survival (OS) in HCC was built by using the least absolute shrinkage and selection operator (LASSO) regression. TCGA–Liver Hepatocellular Carcinoma (LIHC) cohort was used as the training set, and GSE76427 was used for external validation. Time-dependent receiver operating characteristic (ROC) and survival analysis were used to estimate the signature. Finally, a nomogram combining the TRIM family risk score and clinical parameters was established. Results High expressions of TRIM family members including TRIM3, TRIM5, MID1, TRIM21, TRIM27, TRIM32, TRIM44, TRIM47, and TRIM72 were significantly associated with HCC patients’ poor OS. A novel TRIM family gene-based signature (including TRIM5, MID1, TRIM21, TRIM32, TRIM44, and TRIM47) was built for OS prediction in HCC. ROC curves suggested the signature’s good performance in OS prediction. HCC patients in the high-risk group had poorer OS than the low-risk patients based on the signature. A nomogram integrating the TRIM family risk score, age, and TNM stage was established. The ROC curves suggested that the signature presented better discrimination than the similar model without the TRIM family risk score. Conclusion Our study identified the potential application values of the TRIM family for outcome prediction in HCC.
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影响因子：
2.8
作者：
Fernandez-Acenero, M. J.;Cruz, M.;Cebrian, A.
通讯作者：
Cebrian, A.
影响因子：
7.3
作者：
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者：
Schultz N
DOI：
10.1016/j.clinre.2016.09.010
发表时间：
2017-03-01
影响因子：
2.7
作者：
Chen, Yue;Li, Liang;Xu, Geliang
通讯作者：
Xu, Geliang
影响因子：
5.8
作者：
Chen JX;Xu D;Cao JW;Zuo L;Han ZT;Tian YJ;Chu CM;Zhou W;Pan XW;Cui XG
通讯作者：
Cui XG
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影响因子：
4
作者：
Chen W;Zhao K;Miao C;Xu A;Zhang J;Zhu J;Su S;Wang Z
通讯作者：
Wang Z