Hub gene identification and immune infiltration analysis in hepatocellular carcinoma: Computational approach.

In silico pharmacology Pub Date : 2024-05-06 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00215-2

Swetha Pulakuntla, Shri Abhiav Singh, Vaddi Damodara Reddy

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Abstract

In the case of hepatocellular carcinoma, there is a need to find novel immune biomarkers to predict cancer prognosis, which will help prolong patient survival. On the basis of these findings, we explored the role of the hub genes in hepatocellular carcinoma via computational analysis for future immunotherapy. To study this phenomenon, we selected three datasets downloaded from the GEO database (GSE25097, GSE76427 and GSE84402). The gene expression analysis platform (GEAP) online tool was used for the data analysis to identify the DEGs. Functional enrichment analysis was performed by GO and KEGG enrichment analysis. The genes associated with these genes were identified via Cytoscape software. Immune cell infiltration and correlation analysis were used to screen the hub genes. The results revealed that the PTTG1, NCAPG, RACGAP1, PBK, ASPM, AURKA, CDCA5, KIF20A, MELK and PRC1 genes were correlated with immune targets, and these hub gene biomarkers will aid in future cancer prognosis and immunotherapy targeting in hepatocellular carcinoma patients.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00215-2.

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肝细胞癌中的枢纽基因鉴定和免疫浸润分析：计算方法。

就肝细胞癌而言，需要找到新的免疫生物标志物来预测癌症预后，这将有助于延长患者的生存期。在这些发现的基础上，我们通过计算分析探讨了枢纽基因在肝细胞癌中的作用，从而为未来的免疫疗法提供参考。为了研究这一现象，我们选择了从 GEO 数据库下载的三个数据集（GSE25097、GSE76427 和 GSE84402）。我们使用基因表达分析平台（GEAP）在线工具进行数据分析，以确定 DEGs。通过 GO 和 KEGG 富集分析进行了功能富集分析。通过 Cytoscape 软件确定了与这些基因相关的基因。免疫细胞浸润和相关性分析用于筛选枢纽基因。结果显示，PTTG1、NCAPG、RACGAP1、PBK、ASPM、AURKA、CDCA5、KIF20A、MELK和PRC1基因与免疫靶点相关，这些中枢基因生物标志物将有助于未来肝细胞癌患者的癌症预后和免疫治疗靶向：在线版本包含补充材料，可在10.1007/s40203-024-00215-2上查阅。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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In silico pharmacology

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