摘要
目的基于TCGA数据库构建皮肤黑色素瘤铁死亡相关预后模型,揭示铁死亡与皮肤黑色素瘤预后之间的关系。方法从KEGG数据库中获取铁死亡相关基因,从TCGA数据库中获取皮肤黑色素瘤的样本数据,采用R包从TCGA数据库中获取对应样本的临床信息,单因素Cox回归分析筛选预后相关基因,Lasso回归用于进一步进行变量的选择,基于ggrisk包进行预后模型的构建,survival包及survminer包绘制生存曲线。结果筛选出12个预后相关铁死亡基因,去掉过度拟合的基因,最终确定7个铁死亡相关基因用作预后模型的构建,包括NOX4、VDAC2、POR、CHMP5、GCH1、CP、ACSL4。生存分析显示高风险组患者生存时间显著短于低风险组(P<0.05)。结论本研究构建的预后模型进一步展示了铁死亡与皮肤黑色素瘤预后密切相关,为皮肤黑色素瘤的治疗和改善预后的研究提供了一个新的方向。
Objective A ferroptosis-related prognostic model for skin melanoma was constructed based on the TCGA database to reveal the relationship between ferroptosis and the prognosis of skin melanoma.Methods The ferroptosis-related genes were obtained from the KEGG database,and the data of skin melanoma were obtained from the TCGA database.The R package was used to obtain the clinical information of the corresponding samples from the TCGA database.Univariate Cox regression analysis was used to screen prognosis-related genes.Lasso regression was used for further variable selection,and the prognostic model was constructed based on the ggrisk package.The survival and the survminer packages were used to draw the survival curve.Results After removal of the overfitting genes,12 prognosis-related ferroptosis genes were identified.Seven out of the 12 ferroptosis-related genes,including NOX4,VDAC2,POR,CHMP5,GCH1,CP,and ACSL4,were finally used to construct prognostic model.Survival analysis showed that the survival time of patients at the high-risk was significantly shorter than that at the low-risk(P<0.05).Conclusions This prognostic model demonstrates the relationship between ferroptosis and the prognosis of cutaneous melanoma,providing a new direction for research in the treatment of cutaneous melanoma and the improvement of its prognosis.
作者
廖景龙
罗涵深
霍博
LIAO Jinglong;LUO Hanshen;HUO Bo(Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430000,China)
出处
《皮肤性病诊疗学杂志》
2023年第4期307-313,共7页
Journal of Diagnosis and Therapy on Dermato-venereology
关键词
皮肤黑色素瘤
铁死亡相关基因
预后模型
skin cutaneous melanoma
ferroptosis-related genes
prediction model
