首页|基于细胞铁死亡相关基因构建胰腺导管腺癌患者预后风险评分模型及其应用价值

基于细胞铁死亡相关基因构建胰腺导管腺癌患者预后风险评分模型及其应用价值

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目的 探讨基于细胞铁死亡相关的基因构建胰腺导管腺癌(pancreatic ductal adenocarcinoma,PDAC)患者预后风险评分模型及其应用价值。方法 从癌症基因组图谱(TCGA)数据库、基因表达综合数据库和基因型组织表达数据库中获取PDAC及正常胰腺组织的转录组测序数据和PDAC患者总体生存期(OS)等临床资料,从GeneCards数据库获取细胞铁死亡相关基因资料。通过R软件筛选PDAC组织与正常胰腺组织间差异表达基因(DEGs)。利用单因素Cox回归分析和LASSO回归分析构建PDAC患者预后风险评分模型,通过该风险评分模型将TCGA数据库中PDAC病例分为高、低风险两组,绘制Kaplan-Meier生存分析曲线,比较两组患者OS。通过CCK-8实验和免疫印迹实验进一步验证该风险评分模型中细胞铁死亡关键基因与PDAC细胞铁死亡间的关系。结果 成功构建了由SLC6A14、DKK1、KRT19、AURKA、EMP1、ANXA2、LGALS3 7个细胞铁死亡相关基因构成的PDAC患者预后风险评分模型;Kaplan-Meier生存分析曲线显示,低风险组患者的OS显著长于高风险组(P<0。05)。CCK-8实验结果显示,PDAC细胞系中AsPC-1及BxPC-3细胞AURKA敲降组第3~5天的细胞存活率均显著低于阴性对照组(t=4。57~12。84,P<0。05);免疫印迹实验结果显示,AsPC-1及BxPC-3细胞的AUR-KA敲降组细胞中AURKA、SLC7A11、GPX4蛋白相对表达量均显著低于阴性对照组(t=4。22~11。79,P<0。05)。结论 AURKA基因的下调可能通过促进PDAC细胞铁死亡的发生导致PDAC的发生发展,基于细胞铁死亡相关基因的风险评分模型对PDAC患者的预后评估具有重要参考价值。
Establishment of a prognostic risk scoring model for patients with pancreatic ductal adenocarcinoma based on cell ferroptosis-related genes and its application value
Objective To establish a prognostic risk scoring model for patients with pancreatic ductal adenocarcinoma(PDAC)based on cell ferroptosis-related genes,and to investigate its application value.Methods The Cancer Genome Atlas(TCGA)database,Gene Expression Omnibus database,and Genotype-Tissue Expression database were used to obtain the tran-scriptome sequencing data of PDAC tissue and normal pancreatic tissues and the clinical data of PDAC patients including overall survival(OS),and the GeneCards database was used to obtain the data on cell ferroptosis-related genes.R software was used to identify the differentially expressed genes(DEGs)between PDAC tissue and normal pancreatic tissue.The univariate Cox regres-sion analysis and LASSO regression were used to establish a prognostic risk scoring model for PDAC patients,and based on this risk scoring model,the PDAC cases in TCGA database were divided into low-and high-risk groups.The Kaplan-Meier survival curves were plotted to compare OS between the two groups.CCK-8 assay and Western blotting were used to further validate the as-sociation between the key genes of cell ferroptosis in the risk scoring model and cell ferroptosis in PDAC.Results A prognostic risk scoring model for PDAC patients was successfully established based on seven cell ferroptosis-related genes,i.e.,SLC6A14,DKK1,KRT19,AURKA,EMP1,ANXA2,and LGALS3,and the Kaplan-Meier survival curve showed that the low-risk group had a significantly longer OS than the high-risk group(P<0.05).CCK-8 showed that compared with the negative control group,the AURKA knockdown group of AsPC-1 and BxPC-3 PDAC cell lines had a significantly lower viability on days 3-5(t=4.57-12.84,P<0.05),and Western blotting showed that compared with the negative control group,the AURKA knockdown group of AsPC-1 and BxPC-3 cells had significantly lower relative protein expression levels of AURKA,SLC7A11,and GPX4(t=4.22-11.79,P<0.05).Conclusion Downregulation of the AURKA gene may lead to the development and progression of PDAC by promoting ferroptosis in PDAC cells,and the risk scoring model based on cell ferroptosis-related genes has a significant reference value for the prognostic assessment of PDAC patients.

Carcinoma,pancreatic cuctalFerroptosisGene expressionRegression analysisPrognosisComputatio-nal biologyDatabases,genetic

卿功、荆雪、江月萍

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青岛大学附属医院消化内科,山东青岛 266003

重庆市梁平区人民医院消化内科

癌,胰腺管 铁死亡 基因表达 回归分析 预后 计算生物学 数据库,遗传学

山东省自然科学基金项目

ZR2020MH059

2024

精准医学杂志
青岛大学

精准医学杂志

ISSN:2096-529X
年,卷(期):2024.39(5)