| 摘要: |
| [目的] 基于生物信息学分析方法探讨COL10A1在胃癌中的表达及其与免疫浸润和肿瘤微环境（tumor microenvironment,TME）的关系，利用CellMiner数据库进行药物敏感性分析，并利用UALCAN平台在转录组与蛋白质组学水平对其进行表达验证。[方法] 从TCGA数据库获取胃腺癌（stomach adenocarcinoma,STAD）患者数据，采用COX回归和ROC曲线评估COL10A1的预后价值；应用ESTIMATE算法、CIBERSORT算法和TIMER2.0数据库分析其与肿瘤微环境的相关性；通过KEGG、GO和GSEA富集分析探索相关功能与通路；利用加权基因共表达网络分析（WGCNA）筛选与COL10A1表达及免疫浸润相关的基因模块，结合STRING数据库和Cytoscape软件构建蛋白质互作网络（PPI）；基于CellMiner数据库对COL10A1进行药物敏感性分析, 最后，基于UALCAN平台对TCGA转录组数据和CPTAC蛋白质组学数据进行表达验证。[结果] COL10A1表达上调与STAD患者不良预后显著相关，其高表达可能通过调控免疫细胞浸润，尤其是巨噬细胞浸润，影响肿瘤微环境，从而促进胃癌进展。CellMiner数据库提示COL10A1表达与41种抗癌药物的敏感性显著相关。转录组与蛋白质组学验证均证实COL10A1在STAD组织中显著上调。[结论] COL10A1是STAD潜在的预后生物标志物，可能通过调控TME促进肿瘤进展，并具有指导靶向用药的潜力。 |
| 关键词: 胃癌 生物信息学 预后 数据库 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| Bioinformatics Analysis of COL10A1 Expression in Gastric Cancer and Its Prognostic Predictive Value |
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keshuhui, lindandan
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Renmin Hospital of Wuhan University
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| Abstract: |
| [Objective]
To investigate the expression of COL10A1 in gastric cancer through bioinformatics analysis, explore its relationship with immune infiltration and the tumor microenvironment (TME), and analyze its drug sensitivity using CellMiner.
[Methods]
Gastric cancer patient data (TCGA-STAD) were obtained from the TCGA database. COL10A1 expression was evaluated as an independent risk factor using Cox regression analysis in R software (Version 4.3.1). The impact of COL10A1 expression on patient survival was determined through survival analysis and ROC curve plotting. The correlation between COL10A1 and the TME was analyzed using ESTIMATE immune infiltration analysis，CIBERSORT analysis and TIMER2.0. Functional enrichment analyses, including KEGG, GO, and GSEA, were performed to explore its biological roles. Weighted gene co-expression network analysis (WGCNA) was conducted to identify gene modules related to COL10A1 expression and immune infiltration. A protein-protein interaction (PPI) network was constructed using the STRING database and Cytoscape software (Version 3.9.0). Finally, drug sensitivity analysis of COL10A1 was conducted using the CellMiner database.
[Conclusion]
This study found that upregulated COL10A1 was associated with lower survival rates in gastric cancer patients. The poor prognosis linked to COL10A1 overexpression may be related to immune microenvironment changes, particularly macrophage infiltration. Furthermore, the CellMiner database identified 41 drugs with potential sensitivity to COL10A1. Overall, COL10A1 may serve as a potential biomarker and therapeutic target for gastric cancer. |
| Key words: Gastric cancer Bioinformatics Prognosis Database |