Du Xiaoling, Yang Sha, Bian Jiaojiao, Zhang Ying, Wang Yuquan, Lv Zhan
Department of Pharmacy, North Sichuan Medical College Nanchong 637000, Sichuan, P. R. China.
Department of Cardiology, Affiliated Hospital of North Sichuan Medical College Nanchong 637000, Sichuan, P. R. China.
Am J Transl Res. 2024 Jun 15;16(6):2263-2277. doi: 10.62347/OXRO7113. eCollection 2024.
To identify key genes associated with tumor-associated macrophages (TAMs), tumor immunotherapy, in the prognosis of lung adenocarcinoma (LUAD).
The mRNA expression profiles of LUAD samples were obtained from The Cancer Genome Atlas (TCGA) database. The "CIBERSORT" R package was employed to calculate the proportion of innate immune cell infiltration in both tumor and adjacent normal tissues. TAM-associated genes in LUAD were identified to construct a prognostic risk model using weighted gene correlation network analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate Cox regression analyses (COX). The IMvigor210 cohort was utilized to validate the roles of these genes as predictors of immunotherapy response. Tissue microarrays, immunofluorescence staining, and mRNA level detection methods were used to determine the correlation of risk factors in LUAD tissues.
CIBERSORT analysis revealed significant differences in innate immune cells between tumor and adjacent tissues. Seventy-four differential genes linked to these cells were identified from WGCNA. Four hub genes (endothelin receptor type B, vascular endothelial growth factor D (VEGFD), latent transforming growth factor beta binding protein 4 (LTBP4), and fibroblast growth factor receptor 4 (FGFR4)) in the TAM prognostic model were identified as independent prognostic risk factors (P < 0.05). VEGFD expression was identified as a low-risk factor for LUAD prognosis prediction (P < 0.05). Moreover, low-risk patients exhibited higher sensitivity to anti-PD-L1 therapy compared to high-risk patients (P < 0.05). VEGFD levels were negatively correlated with programmed cell death 1 (PD-1) levels (r = -0.363; P < 0.05), suggesting that VEGFD may serve as a predictor for anti-PD-1 treatment.
VEGFD is associated with innate immunity in LUAD, it can predict LUAD prognosis, and therefor may be a potential predictor for anti-PD-1 treatment in patients with LUAD.
确定与肿瘤相关巨噬细胞(TAM)、肿瘤免疫治疗相关的关键基因在肺腺癌(LUAD)预后中的作用。
从癌症基因组图谱(TCGA)数据库获取LUAD样本的mRNA表达谱。使用“CIBERSORT”R包计算肿瘤组织和相邻正常组织中固有免疫细胞浸润的比例。采用加权基因共表达网络分析(WGCNA)、最小绝对收缩和选择算子(LASSO)以及多变量Cox回归分析(COX)来鉴定LUAD中与TAM相关的基因,构建预后风险模型。利用IMvigor210队列验证这些基因作为免疫治疗反应预测指标的作用。采用组织芯片、免疫荧光染色和mRNA水平检测方法来确定LUAD组织中危险因素的相关性。
CIBERSORT分析显示肿瘤组织和相邻组织中固有免疫细胞存在显著差异。通过WGCNA鉴定出74个与这些细胞相关的差异基因。TAM预后模型中的4个关键基因(内皮素受体B型、血管内皮生长因子D(VEGFD)、潜伏转化生长因子β结合蛋白4(LTBP4)和成纤维细胞生长因子受体4(FGFR4))被确定为独立的预后危险因素(P < 0.05)。VEGFD表达被确定为LUAD预后预测的低风险因素(P < 0.05)。此外,与高风险患者相比低风险患者对抗PD-L1治疗表现出更高的敏感性(P < 0.05)。VEGFD水平与程序性细胞死亡蛋白1(PD-1)水平呈负相关(r = -0.363;P < 0.05),表明VEGFD可能作为抗PD-1治疗的预测指标。
VEGFD与LUAD中的固有免疫相关,可预测LUAD预后,因此可能是LUAD患者抗PD-1治疗的潜在预测指标。