间质细胞
肺癌
免疫疗法
表型
腺癌
肿瘤微环境
癌症研究
肺
基因
转录组
免疫系统
医学
基因表达
肿瘤科
基因表达谱
微阵列
癌症
小桶
生物
内科学
阶段(地层学)
微阵列分析技术
基因签名
免疫学
遗传学
作者
Shanshan Liu,Wei Tian,Burong Li
出处
期刊:Combinatorial Chemistry & High Throughput Screening
[Bentham Science]
日期:2020-12-11
卷期号:23
标识
DOI:10.2174/1386207323666201211090604
摘要
Background: The mortality of lung adenocarcinoma(LUAD) is high. Recent studies have found that the degree of immune infiltration and stromal cells in the tumour microenvironment or tumours makes a significant contribution to prognosis. Methods: During study, we screened differentially expressed genes (DEGs) of TCGA database for prognostic genes in LUAD immune microenvironment. Further, immune and stromal cells were quantified using ESTIMATE algorithm. To study the effects of immune and stromal cell-associated genes on the prognosis of LUAD, LUAD patients were divided into high and low groups according to their immune/ stromal scores. The obtained scores were found to be related to the phenotype and survival rate of LUAD patients. By selecting DEGs with high expression in immune and stromal cells, we performed functional enrichment analysis and found that most genes are associated with pathways of cancer, stimulus response and the MAPK signaling. The functions and enriched pathways of LUAD prognostic genes were shown by a protein-protein interaction (PPI) network. Nonetheless, an external database was used to validate the prognostic genes from the TCGA. Results: Prognostic genes were listed according to their expression position and protein function. Conclusion: We provided a new targets for immunotherapy of LUAD, which further provides basic knowledge for future clinical research.
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