Suppr超能文献

用于预测肺腺癌临床结局的铁死亡相关基因特征(FRGS)的鉴定

Identification of a ferroptosis-related gene signature (FRGS) for predicting clinical outcome in lung adenocarcinoma.

作者信息

Wang Sheng, Wu Chunlei, Ma Dehua, Hu Quanteng

机构信息

Respiratory Department, Jinhua Guangfu Hospital, Jinhua, Zhejiang, China.

Department of Thoracic Surgery, Taizhou Hospital, Taizhou, Zhejiang, China.

出版信息

PeerJ. 2021 Apr 13;9:e11233. doi: 10.7717/peerj.11233. eCollection 2021.

Abstract

BACKGROUND

Lung adenocarcinoma (LUAD) is the most common pathological subtype of lung cancer. Ferroptosis, an oxidative, iron-dependent form of necrotic cell death, is highly associated with tumorigenesis and cancer progression. However, the prognostic value of ferroptosis progress in LUAD was still rarely be investigated.

METHODS

Herein, we collected three mRNA expression profiles and 85 ferroptosis-related genes from public databases. The "limma" package was used to identify ferroptosis-related differentially expressed genes (DEGs). Univariate Cox regression analysis and LASSO regression analysis were applied to screen and develop a ferroptosis-related gene signature (FRGS) and a formula to calculate the risk score. Multivariate Cox regression analysis was implemented to determine independent prognostic predictors of overall survival (OS). The area under the receiver operating characteristic curve (AUC) and calibration plot were used to evaluate the predictive accuracy of the FRGS and nomogram.

RESULTS

We developed a FRGS with five genes (CYBB, CISD1, FADD, SAT2, VDAC2). The AUC of the FRGS in TCGA cohort was 0.777 at 1-year, 0.721 at 3-year and 0.725 at 5-year, significantly superior to the AUC of TNM stage (1-year: 0.701, 3-year: 0.691, 5-year: 0.686). A similar phenomenon was observed in GEO cohort 1 and 2. Multivariate Cox regression analysis indicted TNM stage and risk score were independent prognostic predictors. Finally, we built a nomogram with TNM stage and FRGS, the AUCs of which markedly higher than that of FRGS or TNM stage alone.

CONCLUSION

We constructed a prognostic FRGS with five ferroptosis-related genes and a nomogram for predicting the 1-, 3- and 5-year survival rate of LUAD patients, which may provide a new understanding of the prognostic value of ferroptosis progress in LUAD and will benefit prognosis assessment of LUAD patients.

摘要

背景

肺腺癌(LUAD)是肺癌最常见的病理亚型。铁死亡是一种氧化性、铁依赖性的坏死性细胞死亡形式,与肿瘤发生和癌症进展高度相关。然而,铁死亡进展在LUAD中的预后价值仍鲜有研究。

方法

在此,我们从公共数据库收集了三个mRNA表达谱和85个铁死亡相关基因。使用“limma”软件包鉴定铁死亡相关差异表达基因(DEG)。应用单变量Cox回归分析和LASSO回归分析来筛选和开发铁死亡相关基因特征(FRGS)以及计算风险评分的公式。进行多变量Cox回归分析以确定总生存期(OS)的独立预后预测因子。采用受试者工作特征曲线(AUC)下面积和校准图来评估FRGS和列线图的预测准确性。

结果

我们开发了一个包含五个基因(CYBB、CISD1、FADD、SAT2、VDAC2)的FRGS。FRGS在TCGA队列中的1年AUC为0.777,3年为0.721,5年为0.725,显著优于TNM分期的AUC(1年:0.701,3年:0.691,5年:0.686)。在GEO队列1和2中也观察到类似现象。多变量Cox回归分析表明TNM分期和风险评分是独立的预后预测因子。最后,我们构建了一个包含TNM分期和FRGS的列线图,其AUC明显高于单独的FRGS或TNM分期。

结论

我们构建了一个包含五个铁死亡相关基因的预后FRGS和一个用于预测LUAD患者1年、3年和5年生存率的列线图,这可能为LUAD中铁死亡进展的预后价值提供新的认识,并将有助于LUAD患者的预后评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c123/8051350/655e6db0579b/peerj-09-11233-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验