| 基于数据库分析ANLN在非小细胞肺癌中的表达及其相关预后模型的构建 |
| 投稿时间：2024-11-25 修订日期：2024-12-21 点此下载全文 |
| 引用本文：麦洪华,农向阳,吕艳茹,李翔,谢嫣嫣,高珊,姜旭东.基于数据库分析ANLN在非小细胞肺癌中的表达及其相关预后模型的构建[J].医学研究杂志,2025,54(6):92-97 |
| DOI：
10.11969/j.issn.1673-548X.2025.06.017 |
| 摘要点击次数: 19 |
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| 基金项目:广西自然科学基金资助项目(面上项目)(2024GXNSFAA010042,2025GXNSFAA069490)；广西科技计划项目(桂科AB21196012)；广西研究生教育创新计划项目(YCSW2023411)；广西医疗卫生适宜技术开发与推广应用项目(S2022003,S2024004) |
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| 中文摘要:目的 基于数据库分析Anillin肌动蛋白结合蛋白(Anillin actin binding protein, ANLN)在非小细胞癌(non-small cell lung cancer, NSCLC)中的表达,并建立一个ANLN基因相关的预后模型,为NSCLC的诊断及治疗提供参考。方法 通过癌症基因组图谱(the cancer genome atlas, TCGA)获取NSCLC的临床资料和mRNA表达数据,分析ANLN表达水平与NSCLC临床特征的关系,通过GeneMANIA网站寻找ANLN关联基因,利用单因素COX回归分析、最小绝对值收缩和选择算子(least absolute shrinkage and selection operator,LASSO)回归分析构建预后模型,采用受试者工作特征(receiver operation characteristic,ROC)曲线评估模型价值并进行模型验证,进一步构建临床应用的列线图。结果 ANLN在NSCLC中高表达,与NSCLC的临床特征(性别、年龄等)存在显著相关性(P＜0.05),通过基因-基因相互作用(gene-gene interactions, GGI)网络寻找到20个与ANLN功能相似的基因,进一步进行基因筛选后得到5个NSCLC预后基因(ANLN、SLC25A24、MTMR8、MTMR2、RTKN2)。在预后模型中,生存曲线表明,训练和验证队列高风险组的病死率均高于低风险组(P＜0.05),两队列1、2、3年的ROC曲线下面积都大于0.6,提示构建的风险模型有一定的预测性能。结论 ANLN在NSCLC组织中高表达,且与临床特征存在显著相关,构建了可用于评估NSCLC患者预后的风险模型,为后续NSCLC研究提供一定的理论基础。 |
| 中文关键词:非小细胞肺癌 数据库 ANLN 预后基因 预后模型 |
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| Expression of ANLN in Non-Small Cell Lung Cancer Based on Database and the Construction of Prognostic Model. |
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| Abstract:Objective The expression of Anillin actin binding protein (ANLN) in non-small cell lung cancer (NSCLC) was analyzed, and an ANLN-related prognostic model was established to provide a reference for the prognosis and treatment of NSCLC. MethodsThe clinical data and mRNA expression data of NSCLC were obtained by the cancer genome atlas (TCGA), the relationship between ANLN expression level and the clinical characteristics of NSCLC was analyzed, the ANLN-associated genes were found by GeneMANIA, the prognosis model was constructed by univariate Cox and least absolute shrinkage and selection operator (LASSO) analysis, the model value was evaluated and the model was verified by receiver operation characteristic (ROC) curve, and the nomogram of clinical application was further constructed. Results There was a significant correlation between the high expression of ANLN in NSCLC and the clinical characteristics (gender, age, etc.) of NSCLC (P<0.05), and 20genes with similar functions to ANLN were found by gene-gene interactions (GGI), and 5 prognostic genes (ANLN, SLC25A24, MTMR8, MTMR2, RTKN2) were obtained after further gene screening. In the prognosis model, the survival curve showed that the mortality rate of the high-risk group of the training and validation cohorts was higher than that of the low-risk group (P<0.05), and the ROC of the two cohorts at 1,2 and 3 years was greater than 0.6, indicating that the risk model had certain predictive performance.Conclusion The high expression of ANLN in NSCLC tissues and its significant correlation with clinical features have constructed a risk model that can be used to evaluate NSCLC patients, and provide a theoretical basis for subsequent research on NSCLC. |
| keywords:Non-small cell lung cancer TCGA database ANLN Prognostic genes Prognostic model |
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