Genomic Signature for the Prognosis of Survival in Relation to the Tumor Microenvironment in Esophageal Adenocarcinoma

抗癌研究 Pub Date : 2022-03-23 DOI:10.26689/par.v6i2.3714

Y. Qin, Minxian Tao, Lili Song, Weihua Qian, Hai-jian Gao, Lianfang Liu, Yonghua Zhang, Yingying Pan

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Abstract

Objective: To establish a new genomic signature for the prognosis of survival in relation to the tumor microenvironment in esophageal adenocarcinoma. Methods: Data from The Cancer Genome Atlas (TCGA) were applied, and the stromal and immune scores of patients with esophageal adenocarcinoma (EAC) were generated through the ESTIMATE algorithm. Differentially expressed genes were obtained, and genes concerning immune prognosis were identified on the basis of these scores. Functional analysis showed that these genes were primarily involved in immunobiological processes. Additionally, CIBERSORT was used to analyze 22 subgroups of tumor-infiltrating immune cells in the tumor microenvironment. Results: The results of the genomic assessment shown on the Kaplan-Meier curve revealed that EAC patients with high-risk scores have the worst survival. The risk score is valid as an independent prognostic factor for the overall survival in EAC patients. The tumor microenvironment was systematically analyzed, and the immune-related prognostic biomarkers of EAC have been proposed. Conclusion: The expression of tumor-infiltrating immune cells and immune-related genes in EAC have been identified. Some previously overlooked genes may be used as additional biomarkers for EAC in the future.

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食管腺癌生存预后的基因组特征与肿瘤微环境的关系

目的:为食管癌患者的生存预后与肿瘤微环境的关系建立新的基因组特征。方法:应用癌症基因组图谱(TCGA)数据，通过ESTIMATE算法生成食管腺癌(EAC)患者的间质评分和免疫评分。获得差异表达基因，并根据这些评分鉴定与免疫预后相关的基因。功能分析表明，这些基因主要参与免疫生物学过程。此外，使用CIBERSORT分析肿瘤微环境中肿瘤浸润免疫细胞的22个亚群。结果:Kaplan-Meier曲线上的基因组评估结果显示，高风险评分的EAC患者生存率最差。风险评分作为EAC患者总体生存的独立预后因素是有效的。系统分析了肿瘤微环境，并提出了EAC的免疫相关预后生物标志物。结论:确定了EAC中肿瘤浸润性免疫细胞及免疫相关基因的表达。一些以前被忽视的基因可能在未来被用作EAC的额外生物标志物。

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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抗癌研究

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135