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结直肠癌中脂质代谢相关标志物基因的鉴定

Identification of lipid metabolism-related marker genes in colorectal cancer.

作者信息

Gao Bo, Hu Jitao, Wu Hao, Li Baokun

机构信息

Second Departments Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

Clinical Laboratory of East Hospital, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

出版信息

Am J Cancer Res. 2025 May 15;15(5):2022-2040. doi: 10.62347/EGUX7327. eCollection 2025.

Abstract

OBJECTIVE

To identify lipid metabolism associated biomarkers in colorectal cancer (CRC).

METHODS

To refine our list of candidate genes, we utilized the Molecular Complex Detection (MCODE) plug-in within Cytoscape software and performed protein-protein interaction (PPI) network analysis to extract hub genes centrally located within the networks, which potentially possess important regulatory functions. Hub gene-associated miRNAs and transcription factors (TFs) were analyzed using miRNet. Immunohistochemical staining was employed to verify the expression levels of hub genes in clinical CRC tissues. Concurrently, cellular experiments were designed to explore the functional roles of the hub gene DHCR7 at the cellular level, providing scientific evidence for the precision treatment of CRC.

RESULTS

A total of 9008 differentially expressed genes (DEGs) were identified between CRC and control samples. Gene Set Enrichment Analysis (GSEA) revealed that these DEGs were mainly enriched in biological processes such as myogenesis, adipogenesis, oxidative phosphorylation, and fatty acid metabolism. Using Weighted Gene Co-expression Network Analysis (WGCNA), we found that the pink and yellow modules were most significantly associated with CRC. Cytoscape analysis identified six hub genes (DHCR7, FABP4, FASN, FAXDC2, PTGIS, SLC27A6). Their diagnostic performance was verified in the external GSE23878 dataset. Clinical studies showed a downregulation trend in the expression of FAXDC2 and PTGIS in CRC tissue samples, while FASN and DHCR7 were up-regulated in colon cancer tissues. However, the expression trend of FABP4 was inconsistent with previous bioinformatics predictions. Further cellular experimental results demonstrated that DHCR7 knockdown significantly inhibited CRC cell proliferation and induced apoptosis, which strongly supported the previous bioinformatics analysis.

CONCLUSION

Our research successfully identified six hub genes in CRC through a series of rigorous analyses and experimental validations. These findings provide important molecular basis for further investigation into the pathogenesis and progression of CRC.

摘要

目的

鉴定结直肠癌(CRC)中与脂质代谢相关的生物标志物。

方法

为了优化我们的候选基因列表,我们利用Cytoscape软件中的分子复合物检测(MCODE)插件并进行蛋白质-蛋白质相互作用(PPI)网络分析,以提取位于网络中心的枢纽基因,这些基因可能具有重要的调控功能。使用miRNet分析枢纽基因相关的miRNA和转录因子(TFs)。采用免疫组织化学染色来验证枢纽基因在临床CRC组织中的表达水平。同时,设计细胞实验以在细胞水平上探索枢纽基因DHCR7的功能作用,为CRC的精准治疗提供科学依据。

结果

在CRC和对照样本之间共鉴定出9008个差异表达基因(DEGs)。基因集富集分析(GSEA)显示,这些DEGs主要富集于诸如肌生成、脂肪生成、氧化磷酸化和脂肪酸代谢等生物学过程。使用加权基因共表达网络分析(WGCNA),我们发现粉色和黄色模块与CRC最显著相关。Cytoscape分析确定了六个枢纽基因(DHCR7、FABP4、FASN、FAXDC2、PTGIS、SLC27A6)。它们的诊断性能在外部GSE23878数据集中得到验证。临床研究表明,CRC组织样本中FAXDC2和PTGIS的表达呈下调趋势,而FASN和DHCR7在结肠癌组织中上调。然而,FABP4的表达趋势与先前的生物信息学预测不一致。进一步的细胞实验结果表明,DHCR7敲低显著抑制CRC细胞增殖并诱导凋亡,这有力地支持了先前的生物信息学分析。

结论

我们的研究通过一系列严格的分析和实验验证成功鉴定出CRC中的六个枢纽基因。这些发现为进一步研究CRC的发病机制和进展提供了重要的分子基础。

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