Identification of a novel five ferroptosis-related gene signature as a promising prognostic model for breast cancer,Journal of Cancer Research and Clinical Oncology

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Identification of a novel five ferroptosis-related gene signature as a promising prognostic model for breast cancer
Journal of Cancer Research and Clinical Oncology ( IF 2.7 ) Pub Date : 2023-09-20 , DOI: 10.1007/s00432-023-05423-5
Tian- Cheng Cheng _{1,

2} , Jia-Hao Wu _{1,

3} , Bei Zhu ₁ , Hai-Yan Gao ₄ , Lin Zheng ₁ , Wei-Xian Chen _{1,

5}

Affiliation

Background

Breast cancer (BCa) is a major challenge for women’s health worldwide. Ferroptosis is closely related to tumorigenesis and cancer progression. However, the prognostic value of ferroptosis-related genes in BCa remains unclear, and more accurate prognostic models are urgently needed.

Methods

Gene expression profiles and clinical information of BCa patients were collected from public databases. LASSO and multivariate Cox regression analysis were utilized to construct the prognostic gene signature. Kaplan–Meier plotter, receiver operating characteristic (ROC) curves, and nomogram were used to validate the prognostic value of the gene signature. Gene set enrichment analysis was performed to explore the molecular functions and signaling pathways.

Results

Differentially expressed ferroptosis-related genes between BCa samples and normal tissues were obtained. A novel five-gene signature including BCL2, SLC40A1, TFF1, APOOL, and PRAME was established for prognosis prediction. Patients stratified into high-risk or low-risk group displayed significantly different survival. Kaplan–Meier and ROC curves showed a good performance for survival prediction in different cohorts. Biological function analysis revealed that the five-gene signature was associated with cancer progression, immune infiltration, immune response, and drug resistance. Nomogram including the five-gene signature was established.

Conclusion

A novel five ferroptosis-related gene signature and nomogram could be used for prognostic prediction in BCa.

中文翻译：

鉴定出一种新的五种铁死亡相关基因特征作为乳腺癌有希望的预后模型

背景

乳腺癌（BCa）是全世界女性健康面临的重大挑战。铁死亡与肿瘤发生和癌症进展密切相关。然而，BCa中铁死亡相关基因的预后价值仍不清楚，迫切需要更准确的预后模型。

方法

从公共数据库收集 BCa 患者的基因表达谱和临床信息。利用 LASSO 和多变量 Cox 回归分析来构建预后基因特征。Kaplan-Meier 绘图仪、受试者工作特征 (ROC) 曲线和列线图用于验证基因特征的预后价值。进行基因集富集分析以探索分子功能和信号通路。

结果

获得BCa样本和正常组织之间差异表达的铁死亡相关基因。建立了包括 BCL2、SLC40A1、TFF1、APOOL 和 PRAME 在内的新型五基因特征用于预后预测。分为高风险组或低风险组的患者表现出显着不同的生存率。Kaplan-Meier 和 ROC 曲线在不同队列中显示出良好的生存预测性能。生物学功能分析显示，五基因特征与癌症进展、免疫浸润、免疫反应和耐药性相关。建立了包括五基因特征的列线图。