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用于胃癌诊断分级的计算机断层扫描互补生物标志物：DSCC1 和 GINS1。

Complementary biomarkers of computed tomography for diagnostic grading of gastric cancer: DSCC1 and GINS1.

机构信息

Department of Radiology, The First People’s Hospital of Fuyang, Fuyang, Hangzhou 311400, China.

Department of General Surgery, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Shijingshan, Beijing 100144, China.

出版信息

Aging (Albany NY). 2024 Jan 31;16(5):4149-4168. doi: 10.18632/aging.205491.

DOI:10.18632/aging.205491
PMID:38301047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10968684/
Abstract

OBJECTIVE

Computed tomography (CT) is an important tool for grading gastric cancer. Gastric cancer typically originates from epithelial cells of gastric mucosa. However, complementary markers for gastric cancer, relationship between DSCC1, GINS1 and gastric cancer remain unclear.

METHODS

Gastric cancer data were obtained from gene expression omnibus (GEO). Differentially expressed genes (DEGs) were identified, weighted gene co-expression network analysis (WGCNA) was conducted. Protein-protein interaction (PPI) network was constructed and analyzed. Functional enrichment analysis, gene set enrichment analysis (GSEA), gene expression heatmaps, immune infiltration analysis were performed. The most relevant diseases related to core genes were identified using Comparative Toxicogenomics Database (CTD). TargetScan was used to screen miRNAs. Validation was carried out using Western blotting (WB) and reverse transcription-polymerase chain reaction (RT-PCR).

RESULTS

1243 DEGs were identified. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analyses revealed significant enrichment in cell cycle regulation, macrophage migration control, basement membrane, extracellular regions, growth factor binding, protein complex binding, P53 signaling pathway, protein digestion and absorption, metabolic pathways. Immune infiltration analysis indicated that high expression of activated Mast cells and Neutrophils, with a strong positive correlation between them, may influence progression of gastric cancer. CTD analysis revealed associations between DSCC1, GINS1 and gastric tumors, gastrointestinal diseases, tumors, gastritis, inflammation, necrosis. WB and RT-PCR results demonstrated high expression of DSCC1 and GINS1 in gastric cancer.

CONCLUSION

The expressions of DSCC1 and GINS1 are up-regulated in gastric cancer, which can be used as supplementary markers for CT diagnostic grading of gastric cancer.

摘要

目的

计算机断层扫描（CT）是胃癌分级的重要工具。胃癌通常起源于胃黏膜上皮细胞。然而，胃癌的补充标志物、DSCC1、GINS1 之间的关系尚不清楚。

方法

从基因表达综合数据库（GEO）中获取胃癌数据。鉴定差异表达基因（DEGs），进行加权基因共表达网络分析（WGCNA）。构建和分析蛋白质-蛋白质相互作用（PPI）网络。进行功能富集分析、基因集富集分析（GSEA）、基因表达热图、免疫浸润分析。使用比较毒理学基因组数据库（CTD）确定与核心基因最相关的疾病。使用 TargetScan 筛选 miRNA。通过 Western blot（WB）和逆转录-聚合酶链反应（RT-PCR）进行验证。

结果

鉴定出 1243 个 DEGs。基因本体论（GO）和京都基因与基因组百科全书（KEGG）分析表明，细胞周期调控、巨噬细胞迁移控制、基底膜、细胞外区、生长因子结合、蛋白复合物结合、P53 信号通路、蛋白消化吸收、代谢途径等过程显著富集。免疫浸润分析表明，激活的肥大细胞和中性粒细胞高表达，且两者之间呈强正相关，可能影响胃癌的进展。CTD 分析表明 DSCC1、GINS1 与胃癌、胃肠道疾病、肿瘤、胃炎、炎症、坏死之间存在关联。WB 和 RT-PCR 结果表明胃癌中 DSCC1 和 GINS1 表达上调。

结论

DSCC1 和 GINS1 在胃癌中表达上调，可作为 CT 诊断胃癌分级的补充标志物。

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