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胃腺癌中生物标志物A型内皮素受体的表达特征与免疫微环境特征的综合分析

Comprehensive analysis of expression signature and immune microenvironment signature of biomarker Endothelin Receptor Type A in stomach adenocarcinoma.

作者信息

Wang Zhengguang, Wang Kangchun, Yu Xue, Chen Moye, Du Yaqi

机构信息

Department of Orthopedics, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.

Department of Organ transplantation and Hepatobiliary, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.

出版信息

J Cancer. 2022 Mar 28;13(7):2086-2104. doi: 10.7150/jca.68673. eCollection 2022.

Abstract

EDNRA (Endothelin Receptor Type A) is closely associated with tumor progression in many tumor types. However, the functional mechanism of EDNRA in stomach adenocarcinoma (STAD) remains to be elucidated. ENDRA expression levels in STAD were assessed. A Receiver Operating Characteristic (ROC) curve was constructed to measure the diagnostic value of EDNRA. The correlation between ENDRA expression levels and patient clinical-pathological characteristics was analyzed. The survival and prognostic significance were validated using Kaplan-Meier and Cox regression and confirmed by the immunohistochemistry cohorts. Differentially expressed genes of EDNRA in STAD were determined, and EDNRA related functional enrichment and biological pathways involved in STAD were obtained by Gene-Set Enrichment Analysis (GSEA). The correlation between EDNRA expression in STAD and immune cell infiltration was assessed using the CIBERSORT and Spearman correlation analysis, and the correlation between EDNRA and TMB, MSI, IC50, and immune checkpoints was examined. EDNRA expression was significantly higher in STAD than in normal tissues ( < 0.001) and associated with worse overall survival (OS). EDNRA expression was significantly associated with T stage, histological type, histologic grade, and TP53 status. Cox regression analysis revealed that primary therapy outcome, age, tumor status, and EDNRA were independent prognostic factors for OS. Multivariate analysis revealed that EDNRA expression, tumor status, age, and primary therapy outcome influenced patient prognosis. GSEA was significantly enriched in several pathways and biological processes, which include Immunoregulatory, Hedgehog, WNT, PI3K-AKT.NK cells, Tem, macrophages, and mast cells were substantially positively correlated with EDNRA expression in the STAD microenvironment. Notably, high EDNRA expression may promote M2 macrophages to block PD-1-mediated immunotherapy and induce immunosuppression. In addition, patients with high expression of EDNRA might be resistant to the treatment of several anti-tumor drugs. Our results suggest that EDNRA was closely related to clinicopathologic characteristics, poor prognosis, and promoted macrophage differentiation and synergistic role in immunosuppression.

摘要

内皮素A型受体(EDNRA)与多种肿瘤类型的肿瘤进展密切相关。然而,EDNRA在胃腺癌(STAD)中的功能机制仍有待阐明。评估了STAD中EDNRA的表达水平。构建了受试者工作特征(ROC)曲线以衡量EDNRA的诊断价值。分析了EDNRA表达水平与患者临床病理特征之间的相关性。使用Kaplan-Meier法和Cox回归验证生存和预后意义,并通过免疫组织化学队列进行确认。确定了STAD中EDNRA的差异表达基因,并通过基因集富集分析(GSEA)获得了STAD中涉及的EDNRA相关功能富集和生物学途径。使用CIBERSORT和Spearman相关性分析评估STAD中EDNRA表达与免疫细胞浸润之间的相关性,并检查EDNRA与肿瘤突变负荷(TMB)、微卫星高度不稳定(MSI)、半数抑制浓度(IC50)和免疫检查点之间的相关性。EDNRA在STAD中的表达明显高于正常组织(<0.001),并与较差的总生存期(OS)相关。EDNRA表达与T分期、组织学类型、组织学分级和TP53状态显著相关。Cox回归分析显示,初始治疗结果、年龄、肿瘤状态和EDNRA是OS的独立预后因素。多变量分析显示,EDNRA表达、肿瘤状态、年龄和初始治疗结果影响患者预后。GSEA在包括免疫调节、刺猬、WNT、PI3K-AKT等多种途径和生物学过程中显著富集。在STAD微环境中,自然杀伤(NK)细胞、效应记忆T细胞(Tem)、巨噬细胞和肥大细胞与EDNRA表达显著正相关。值得注意的是,高EDNRA表达可能促进M2巨噬细胞阻断PD-1介导的免疫治疗并诱导免疫抑制。此外,EDNRA高表达的患者可能对几种抗肿瘤药物治疗耐药。我们的结果表明,EDNRA与临床病理特征、预后不良密切相关,并促进巨噬细胞分化以及在免疫抑制中发挥协同作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e2e/9066206/47d53469dcbf/jcav13p2086g001.jpg

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