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肝细胞癌中表达的预后价值的综合生物信息学分析与验证

Integrated Bioinformatics Analysis and Validation of the Prognostic Value of Expression in Hepatocellular Carcinoma.

作者信息

Pang Shu-Jie, Sun Zhe, Lu Wen-Feng, Si-Ma Hui, Lin Zhi-Peng, Shi Yang, Yang Ying-Cheng, Zhao Xi-Jun, Yang Guang-Shun, Jin Guang-Zhi, Yang Ning

机构信息

Department V of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, People's Republic of China.

Department of Hepatobiliary Surgery, The 940th Hospital of CPLA Joint Logistics Support Force, Lanzhou, 730050, People's Republic of China.

出版信息

Cancer Manag Res. 2022 Mar 4;14:969-980. doi: 10.2147/CMAR.S349884. eCollection 2022.

DOI:10.2147/CMAR.S349884
PMID:35283645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8906710/
Abstract

BACKGROUND

s function in hepatocellular carcinoma (HCC) has rarely been addressed. We intend to explore the prognostic significance and therapeutic meaning of in HCC in this study.

METHODS

Multiple common databases were integrated to analyze the expression status and prognostic meaning of in HCC. The relationship between mRNA level and clinical features was also assessed. Multiple enrichment analyses of the differentially expressed genes between high- and low- transcription groups were constructed by using R software (version 4.0.2). A Search Tool for Retrieval of Interacting Genes database was used to construct the protein-protein interaction network between and other proteins. A tumor immune estimation resource database was employed to identify the relationship between expression and immune cell infiltrates. The prognostic value of expression was validated in our HCC cohort by immunohistochemistry test.

RESULTS

The transcription of mRNA was positively correlated with tumor histologic grade (p < 0.001), T classification (p < 0.001), and tumor stage (p < 0.001). High transcription of in HCC predicted a dismal overall survival (p = 0.0037) and recurrence-free survival (p < 0.001). Kyoto Encyclopedia of Genes and Genomes, Gene Ontology, and Gene Set Enrichment Analysis all revealed that was involved in the regulation of cell cycle, DNA replication, and immune-related pathways. Tumor immune estimation analysis revealed that transcription was positively related to multiple immune cell infiltrates and the expressions of and .

CONCLUSION

was demonstrated to be a dismal prognostic factor and a potential biomarker for immune therapy in HCC in that it may be involved in the immune-related signaling pathways.

摘要

背景

在肝细胞癌（HCC）中的作用鲜少被提及。在本研究中，我们旨在探究 在HCC中的预后意义及治疗意义。

方法

整合多个常用数据库以分析 在HCC中的表达状况及预后意义。还评估了 mRNA水平与临床特征之间的关系。使用R软件（版本4.0.2）对高转录组和低转录组之间的差异表达基因进行多重富集分析。利用检索相互作用基因的搜索工具数据库构建 与其他蛋白质之间的蛋白质-蛋白质相互作用网络。采用肿瘤免疫评估资源数据库来确定 表达与免疫细胞浸润之间的关系。通过免疫组织化学检测在我们的HCC队列中验证 表达的预后价值。

结果

mRNA的转录与肿瘤组织学分级（p < 0.001）、T分类（p < 0.001）和肿瘤分期（p < 0.001）呈正相关。HCC中 的高转录预示着较差的总生存期（p = 0.0037）和无复发生存期（p < 0.001）。京都基因与基因组百科全书、基因本体论和基因集富集分析均显示 参与细胞周期调控、DNA复制和免疫相关途径。肿瘤免疫评估分析显示 转录与多种免疫细胞浸润以及 和 的表达呈正相关。

结论

被证明是HCC中一个不良的预后因素和免疫治疗的潜在生物标志物，因为它可能参与免疫相关信号通路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/c65e2211d5be/CMAR-14-969-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/577c3986d1c2/CMAR-14-969-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/ffc902f3d18e/CMAR-14-969-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/487a11847ed0/CMAR-14-969-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/1716cbc47884/CMAR-14-969-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/7e20863b773e/CMAR-14-969-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/ebbb35efd123/CMAR-14-969-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/c65e2211d5be/CMAR-14-969-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/577c3986d1c2/CMAR-14-969-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/ffc902f3d18e/CMAR-14-969-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/487a11847ed0/CMAR-14-969-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/1716cbc47884/CMAR-14-969-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/7e20863b773e/CMAR-14-969-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/ebbb35efd123/CMAR-14-969-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1210/8906710/c65e2211d5be/CMAR-14-969-g0007.jpg

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