Integrated Bioinformatics Analysis Revealing that the NSDHL Gene Might Be Associated with the Progression of Western HFD/SW-Induced Hepatocellular Carcinoma.

Jing Hong, Bo Pan, Zhaoxian Yan, Xiao-Feng Zhai, Yongshang Liu
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Abstract

Background and objective: Hepatocellular carcinoma (HCC) remains a significant global health concern. However, the etiology and pathogenesis of HCC have yet to be fully elucidated. Previous studies have indicated a close association between obesity and the occurrence and progression of HCC. The objective of this study was to employ bioinformatics strategies in order to explore key genes associated with the clinical diagnosis and prognosis of HCC induced by a Western high-fat diet and sugar water (HFD/SW).

Materials and methods: We obtained the expression profile chip data GSE197884 from the Gene Expression Omnibus (GEO) database. Subsequently, "DESeq" and "Limma" R packages were employed to identify differentially expressed genes (DEGs) while constructing a co-expressed gene network using weighted gene co-expression analysis (WGCNA). Functional enrichment analyses were then carried out, followed by the construction of a protein-protein interaction (PPI) network to uncover core genes. The core genes were confirmed through data retrieved from The Cancer Genome Atlas (TCGA) database in order to determine their status as hub genes. Finally, survival and tumor immune infiltration analyses were performed to unveil the prognostic significance of these hub genes.

Results: In total, 126 intersection targets were retrieved through the Venn diagram. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that the DEGs were primarily related to the proliferation and apoptosis of HCC cells, the digestion and metabolism of liver cells, the HCC tumor microenvironment, and immune response. The PPI network analysis identified 11 core targets, among which seven hub genes, including NSDHL, MVK, SQLW, GCAT, ALAS2, GLDC, and AGXT, were obtained after TCGA database validation. Furthermore, it was found that NSDHL was closely associated with the clinical diagnosis and prognosis of HCC induced by HFD/SW and also affected the cellular immune infiltration in the HCC tumor microenvironment.

Conclusion: The present study demonstrated a significantly elevated expression of NSDHL in HCC tissues, suggesting its potential as a specific biomarker for precise clinical diagnosis and prognosis assessment of HCC induced by HFD/SW.

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综合生物信息学分析揭示NSDHL基因可能与Western HFD/ sw诱导的肝细胞癌的进展有关。
背景和目的:肝细胞癌(HCC)仍然是全球关注的重大健康问题。然而,HCC 的病因和发病机制尚未完全阐明。以往的研究表明,肥胖与 HCC 的发生和发展密切相关。本研究旨在采用生物信息学策略,探索与西方高脂饮食和糖水(HFD/SW)诱导的 HCC 的临床诊断和预后相关的关键基因:我们从基因表达总库(GEO)数据库中获得了表达谱芯片数据GSE197884。随后,使用 "DESeq "和 "Limma "R软件包识别差异表达基因(DEGs),同时使用加权基因共表达分析(WGCNA)构建共表达基因网络。随后进行了功能富集分析,并构建了蛋白质-蛋白质相互作用(PPI)网络,以发现核心基因。通过从癌症基因组图谱(The Cancer Genome Atlas,TCGA)数据库中检索数据来确认核心基因,以确定其作为枢纽基因的地位。最后,进行生存和肿瘤免疫浸润分析,以揭示这些枢纽基因的预后意义:结果:通过维恩图共检索到 126 个交叉靶标。基因本体(GO)富集和京都基因组百科全书(KEGG)通路分析表明,DEGs主要与HCC细胞的增殖和凋亡、肝细胞的消化和代谢、HCC肿瘤微环境以及免疫反应有关。PPI网络分析确定了11个核心靶点,其中7个枢纽基因是经过TCGA数据库验证后获得的,包括NSDHL、MVK、SQLW、GCAT、ALAS2、GLDC和AGXT。研究还发现,NSDHL与HFD/SW诱导的HCC的临床诊断和预后密切相关,并影响HCC肿瘤微环境中的细胞免疫浸润:结论:本研究表明,NSDHL在HCC组织中的表达明显升高,这表明它有可能成为一种特异性生物标志物,用于HFD/SW诱导的HCC的临床诊断和预后评估。
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