摘要
本研究从TCGA数据库中获得497例肺腺癌及54例正常肺组织的mRNA测序信息并通过生物信息学分析,筛选显著差异的铁死亡基因,使用这些基因构建预后评估模型;绘制生存曲线和ROC曲线,评估模型的临床诊断意义;比较模型中的风险因素与其他相关风险因素的风险值;模型中的风险因素与其他风险因素做相关性分析。结果发现,DDIT4、RRM2、GDF15可以作为肺腺癌患者疾病发展及预后的预测基因,影响肺腺癌发展及预后。
The mRNA sequencing information of the 497 cases of lung adenocarcinoma and 54 cases of normal lung tissues in this study were obtained from the TCGA database, and significantly different iron death genes were screened through bioinformatics analysis, and then these genes were used to construct a prognostic evaluation model. The clinical diagnostic significance of the model was evaluated by drawing the survival curve and ROC curve, and compare the risk values of the risk factors in the model with other related risk factors. Correlation analysis between risk factors in the model and other risk factors found that DDIT4,RRM2, and GDF15 can be used as predictors of disease development and prognosis in patients with lung adenocarcinoma, and a possible factor that affects the development and prognosis of lung adenocarcinoma.
作者
药言伟
李皓
原大江
YAO Yanwei;LI Hao;YUAN Dajiang(Department of Critical Care Medicine,Second Hospital of Shanxi Medical University,Taiyuan 030001,China)
出处
《生命的化学》
CAS
2021年第12期2695-2703,共9页
Chemistry of Life
关键词
肺腺癌
铁死亡
TCGA
预后分析
lung adenocarcinoma
ferroptosis
TCGA database
prognostic analysis
