Seven Fatty Acid Metabolism-Related Genes as Potential Biomarkers for Predicting the Prognosis and Immunotherapy Responses in Patients with Esophageal Cancer.

IF 5.2 3区医学 Q1 IMMUNOLOGY Vaccines Pub Date : 2022-10-15 DOI:10.3390/vaccines10101721

Ya Guo, Shupei Pan, Yue Ke, Jiyuan Pan, Yuxing Li, Hongbing Ma

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Abstract

Background: Esophageal cancer (ESCA) is a major cause of cancer-related mortality worldwide. Altered fatty acid metabolism is a hallmark of cancer. However, studies on the roles of fatty acid metabolism-related genes (FRGs) in ESCA remain limited.

Method: We identified differentially expressed FRGs (DE-FRGs). Then, the DE-FRGs prognostic model was constructed and validated using a comprehensive analysis. Moreover, the correlation between the risk model and clinical characteristics was investigated. A nomogram for predicting survival was established and evaluated. Subsequently, the difference in tumor microenvironment (TME) was compared between two risk groups. The sensitivity of key DE-FRGs to chemotherapeutic interventions and their correlation with immune cells were investigated. Finally, DEGs between two risk groups were measured and the prognostic value of key DE-FRGs in ESCA was confirmed in other databases.

Results: A prognostic model was constructed based on seven selected DEG-FRGs. TNM staging and CD8+ T cells were significantly correlated with high-risk groups. Low-risk groups exhibited more infiltrated M0 macrophages, an activation of type II interferon (IFN-γ) responses, and were found to be more suitable for immunotherapy. Seven key DE-FRGs with prognostic value were found to be considerably influenced by different chemotherapy drugs.

Conclusion: A prognostic model based on seven DE-FRGs may efficiently predict patient prognosis and immunotherapy response, helping to develop individualized treatment strategies in ESCA.

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7种脂肪酸代谢相关基因作为预测食管癌患者预后和免疫治疗反应的潜在生物标志物

背景:食管癌(ESCA)是世界范围内癌症相关死亡的主要原因。脂肪酸代谢的改变是癌症的一个标志。然而，关于脂肪酸代谢相关基因(FRGs)在ESCA中的作用的研究仍然有限。方法:鉴定差异表达FRGs (DE-FRGs)。然后，构建DE-FRGs预后模型，并通过综合分析对其进行验证。此外，还探讨了风险模型与临床特征的相关性。建立并评价了预测生存的nomogram。随后比较两危险组肿瘤微环境(TME)的差异。研究了关键DE-FRGs对化疗干预的敏感性及其与免疫细胞的相关性。最后，测量两个危险组之间的deg，并在其他数据库中确认ESCA中关键de - frg的预后价值。结果:选取7个deg - frg，建立预后模型。TNM分期、CD8+ T细胞与高危人群有显著相关性。低风险组表现出更多的M0巨噬细胞浸润，激活II型干扰素(IFN-γ)反应，并被发现更适合免疫治疗。7个具有预后价值的关键de - frg受到不同化疗药物的显著影响。结论:基于7种DE-FRGs的预后模型可有效预测ESCA患者预后和免疫治疗反应，有助于制定个体化治疗策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Vaccines Pharmacology, Toxicology and Pharmaceutics-Pharmacology

CiteScore

8.90

自引率

16.70%

发文量

1853

审稿时长

18.06 days

期刊介绍： Vaccines (ISSN 2076-393X) is an international, peer-reviewed open access journal focused on laboratory and clinical vaccine research, utilization and immunization. Vaccines publishes high quality reviews, regular research papers, communications and case reports.