Zhang Anran, Yang Jinpo, Ma Chao, Li Feng, Luo Huan
Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
Front Cell Dev Biol. 2021 Jun 24;9:616271. doi: 10.3389/fcell.2021.616271. eCollection 2021.
Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Ferroptosis is a newly recognized process of cell death, which is different from other forms of cell death in morphology, biochemistry, and genetics, and has played a vital role in cancer biology. This study aimed to identify a ferroptosis-related gene signature associated with LUAD prognosis.
Dataset TCGA-LUAD which came from the TCGA portal was taken as the training cohort. GSE72094 and GSE68465 from the GEO database were treated as validation cohorts. Two hundred fifty-nine ferroptosis-related genes were retrieved from the FerrDb database. In the training cohort, Kaplan-Meier and univariate Cox analyses were conducted for preliminary screening of ferroptosis-related genes with potential prognostic capacity. These genes then entered into the LASSO Cox regression model, constructing a gene signature. The latter was then evaluated in the training and validation cohorts Kaplan-Meier, Cox, and ROC analyses. In addition, the correlations between risk score and autophagy were examined by Pearson correlation coefficient. The analyses of GSEA and immune infiltrating were performed for better studying the function annotation of the gene signature and the character of each kind of immune cells played in the tumor microenvironment.
A 15-gene signature was found from the training cohort and validated by Kaplan-Meier and Cox regression analyses, revealing its independent prognosis value in LUAD. Moreover, the ROC analysis was conducted, confirming a strong predictive ability that this signature owned for LUAD prognosis. One hundred fifty-one of 222 (68.01%) autophagy-related genes were discovered significantly correlated with risk scores. Analyses of GSEA and immune infiltration exhibited in detail the specific pathways that associate with the 15-gene signature and identified the crucial roles of resting mast cells and resting dendritic cells owned in the prognosis of the 15-gene signature.
In this present study, a novel ferroptosis-related 15-gene signature (RELA, ACSL3, YWHAE, EIF2S1, CISD1, DDIT4, RRM2, PANX1, TLR4, ARNTL, LPIN1, HERPUD1, NCOA4, PEBP1, and GLS2) was built. It could accurately predict the prognosis of LUAD and was related to resting mast cells and resting dendritic cells, which provide potential for the personalized outcome prediction and the development of new therapies in LUAD population.
肺腺癌(LUAD)是非小细胞肺癌最常见的亚型。铁死亡是一种新认识的细胞死亡过程,在形态学、生物化学和遗传学方面不同于其他形式的细胞死亡,并且在癌症生物学中发挥了至关重要的作用。本研究旨在鉴定与LUAD预后相关的铁死亡相关基因特征。
将来自TCGA数据库的数据集TCGA-LUAD作为训练队列。将来自GEO数据库的GSE72094和GSE68465作为验证队列。从FerrDb数据库中检索出259个铁死亡相关基因。在训练队列中,进行Kaplan-Meier和单变量Cox分析,对具有潜在预后能力的铁死亡相关基因进行初步筛选。然后将这些基因纳入LASSO Cox回归模型,构建一个基因特征。随后在训练和验证队列中对其进行Kaplan-Meier、Cox和ROC分析。此外,通过Pearson相关系数检验风险评分与自噬之间的相关性。进行基因集富集分析(GSEA)和免疫浸润分析,以更好地研究基因特征的功能注释以及各种免疫细胞在肿瘤微环境中所起的作用。
从训练队列中发现了一个由15个基因组成的特征,并通过Kaplan-Meier和Cox回归分析进行了验证,揭示了其在LUAD中的独立预后价值。此外,进行了ROC分析,证实了该特征对LUAD预后具有强大的预测能力。发现222个自噬相关基因中的151个(68.01%)与风险评分显著相关。GSEA和免疫浸润分析详细展示了与15基因特征相关的特定途径,并确定了静息肥大细胞和静息树突状细胞在15基因特征预后中的关键作用。
在本研究中,构建了一种新的铁死亡相关的15基因特征(RELA、ACSL3、YWHAE、EIF2S1、CISD1、DDIT4、RRM2、PANX1、TLR4、ARNTL、LPIN1、HERPUD1、NCOA4、PEBP1和GLS2)。它可以准确预测LUAD的预后,并且与静息肥大细胞和静息树突状细胞相关,这为LUAD人群的个性化预后预测和新疗法的开发提供了潜力。