Prognostic value of immune-related genes in the tumor microenvironment of lung adenocarcinoma and lung squamous cell carcinoma
Prognostic value of immune-related genes in the tumor microenvironment of lung adenocarcinoma and lung squamous cell carcinoma
复制标题
肺腺癌和肺鳞癌肿瘤微环境中免疫相关基因的预后价值
DOI：
10.18632/aging.102871
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发表时间：
2020-03-31
期刊：
影响因子：
5.2
通讯作者：
Wang, Jianbo
中科院分区：
文献类型：
--
作者：
Qu, Yan;Cheng, Bo;Wang, Jianbo
非小细胞肺癌(NSCLC)主要由肺腺癌(LUAD)和肺鳞癌(LUSC)组成，是全球癌症死亡的主要原因。在这项研究中，我们对肿瘤微环境和遗传因素进行了综合分析，以确定非小细胞肺癌的预后生物标志物。我们使用来自癌症基因组图谱数据库的数据和估计算法评估了LUAD和LUSC患者的免疫和间质评分。根据这些评分，获得差异表达基因，并鉴定免疫相关预后基因。功能分析和蛋白质-蛋白质相互作用网络进一步揭示了这些基因参与的免疫相关生物学过程。此外，还使用CiberSort算法分析了肿瘤微环境中的22个肿瘤浸润性免疫细胞(TIIC)亚群。最后，我们使用来自基因表达总览数据库的独立队列来验证这些有价值的基因。免疫和间质评分与LUAD患者的临床特征和预后呈正相关，而与LUSC呈负相关，并阐明了TIICs与临床特征的相关性。有几个差异表达基因被鉴定为潜在的免疫相关预后基因。本研究综合分析了肿瘤微环境，提出了免疫相关的非小细胞肺癌预后生物标志物。
Non-small-cell lung cancer (NSCLC), which consists mainly of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), are the leading cause of cancer deaths worldwide. In this study, we performed a comprehensive analysis of the tumor microenvironmental and genetic factors to identify prognostic biomarkers for NSCLC. We evaluated the immune and stromal scores of patients with LUAD and LUSC using data from The Cancer Genome Atlas database with the ESTIMATE algorithm. Based on these scores, the differentially expressed genes were obtained and immune-related prognostic genes were identified. Functional analysis and protein-protein interaction network further revealed the immune-related biological processes in which these genes participated. Additionally, 22 subsets of tumor-infiltrating immune cells (TIICs) in the tumor microenvironment were analyzed with the CIBERSORT algorithm. Finally, we validated these valuable genes using an independent cohort from the Gene Expression Omnibus database. The associations of the immune and stromal scores with patients' clinical characteristics and prognosis were positive in LUAD but negative in LUSC and the correlations of TIICs with clinical characteristics were clarified. Several differentially expressed genes were identified to be potential immune-related prognostic genes. This study comprehensively analyzed the tumor microenvironment and presented immune-related prognostic biomarkers for NSCLC.