首页|基于缺氧和铁死亡相关基因构建肺腺癌预后模型

基于缺氧和铁死亡相关基因构建肺腺癌预后模型

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目的:探讨缺氧和铁死亡相关基因对肺腺癌的预后价值,构建预测肺腺癌(lung adenocarcinoma,LUAD)患者预后的列线图模型。方法:从癌症基因组图谱(the cancer genome atlas,TCGA)数据库识别缺氧和铁死亡相关肺腺癌预后差异表达基因,利用LASSO-Cox回归构建基因风险评分系统,进一步构建肺腺癌预后模型,分别使用校准曲线、受试者工作特征(receiver operating characteristic,ROC)曲线分析、决策曲线分析评价其预测效果。采用定量逆转录PCR(quantitative reverse transcription PCR,RT-qPCR)检测LUAD与癌旁组织中风险差异基因的表达水平。结果:成功构建了 8基因风险评分系统,建立了可有效预测LUAD患者预后的列线图模型,具有良好的预测效果。LUAD组织中核心蛋白聚糖(decorin,DCN)和血小板衍生生长因子 B亚基(platelet derived growth dactor subunit B,PDGFB)明显下调,二肽基肽酶 4(dipeptidyl peptidase 4,DPP4)、巨噬细胞移型抑制因子(macrophage migration inhibitory factor,MIF)、甘油醛-3-磷酸脱氢酶(glyceraldehyde-3-phosphate dehydrogenase,GAPDH)、乳酸脱氢酶A(lactate dehydrogenase A,LDHA)、核糖核苷酸还原酶调节亚基M2(ribonucleotide reductase regulatory subunit M2,RRM2)和溶质载体家族 2(so-lute carrier family 2 member 1,SLC2A1)明显上调(均P<0。05)。结论:本研究构建的预测肺腺癌患者预后的列线图模型可为个性化治疗提供参考。
Construction of a Prognostic Model for Lung Adenocarcinoma Based on Hypoxia-and Ferroptosis-Related Genes
Objective:To explore the prognostic value of hypoxia-and ferroptosis-related genes in lung adenocarci-noma(LUAD)and construct a nomogram model for predicting the prognosis of patients with LUAD.Methods:Hypoxia-and ferroptosis-related differentially expressed genes in lung adenocarcinoma were identified from the cancer genome atlas(TC-GA)database.A gene risk scoring system was constructed using LASSO-Cox regression,followed by the construction of a prognostic model for lung adenocarcinoma.The predictive effect of the model was evaluated through calibration curve,re-ceiver operating characteristic(ROC)curve,and decision curve analysis.Quantitative reverse transcription PCR(RT-qPCR)was used to verify the differential expression of risk genes between LUAD tissues and the adjacent normal tissues.Results:An eight-gene risk scoring system and a nomogram model for predicting the prognosis of LUAD patients were constructed,demonstrating good predictive effect.The expression of decorin(DCN)and platelet derived growth factor subunit B(PDGFB)decreased obviously,and the expression of dipeptidyl peptidase 4(DPP4),macrophage migration inhibitory factor(MIF),glyceraldehyde-3-phosphate dehydrogenase(GAPDH),lactate dehydrogenase A(LDHA),ribonucleotide reductase regulatory subunit M2(RRM2),and solute carrier family 2 member 1(SLC2A1)increased significantly(P<0.05).Conclu-sion:This nomogram model for predicting the prognosis of lung adenocarcinoma patients constructed in this study can pro-vide reference for personalized treatment.

lung adenocarcinomahypoxiaferroptosisprognostic model

吴萌、王红兵

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南通大学附属医院肿瘤化疗科,江苏 226001

徐州医科大学附属医院肿瘤内科

肺腺癌 缺氧 铁死亡 预后模型

2024

交通医学
南通大学

交通医学

影响因子:0.496
ISSN:1006-2440
年,卷(期):2024.38(6)