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肺腺癌中具有预后价值的肿瘤微环境相关基因的鉴定与验证

Identification and validation of tumor microenvironment-related genes of prognostic value in lung adenocarcinoma.

作者信息

Yuan Jingyan, Yuan Bo, Zeng Lizhong, Liu Boxuan, Chen Yang, Meng Xia, Sun Ruiying, Lv Xin, Wang Wei, Yang Shuanying

机构信息

Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, P.R. China.

出版信息

Oncol Lett. 2020 Aug;20(2):1772-1780. doi: 10.3892/ol.2020.11735. Epub 2020 Jun 16.

DOI:10.3892/ol.2020.11735
PMID:32724420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7377199/
Abstract

Lung adenocarcinoma (LUAD) is a major subtype of non-small cell lung cancer. Despite significant progress in its diagnosis and treatment, the mortality and morbidity rate of LUAD remains high worldwide. The aim of the present study was to perform a systematic investigation of the tumor microenvironment (TME) and identify TME-related genes of prognostic value in patients with LUAD. Firstly, the immune scores and stromal scores of patients with LUAD from The Cancer Genome Atlas were calculated using the Estimation of STromal and Immune cells in MAlignant Tumors using Expression data algorithm, and a total of 281 prognostic TME-related genes were identified. Subsequently, functional analysis and protein-protein interaction network analysis revealed that these genes were mainly related to immune response, inflammatory response and chemotaxis. Finally, two independent LUAD cohorts from the Gene Expression Omnibus database were used to validate these genes, and 4 genes (GTPase IMAP family member 1, T-cell surface glycoprotein CD1b, integrin alpha-L and leukocyte surface antigen CD53) were identified, and downregulation of these genes was indicated to be associated with poor overall survival rate in patients with LUAD. In conclusion, a comprehensive analysis of TME was performed and 4 prognostic TME-related genes in patients with LUAD were identified.

摘要

肺腺癌(LUAD)是非小细胞肺癌的主要亚型。尽管其诊断和治疗取得了显著进展,但全球范围内LUAD的死亡率和发病率仍然很高。本研究的目的是对肿瘤微环境(TME)进行系统研究,并确定LUAD患者中具有预后价值的TME相关基因。首先,使用利用表达数据算法估计恶性肿瘤中的基质和免疫细胞(ESTIMATE)算法计算来自癌症基因组图谱的LUAD患者的免疫评分和基质评分,并总共鉴定出281个与预后相关的TME相关基因。随后,功能分析和蛋白质-蛋白质相互作用网络分析表明,这些基因主要与免疫反应、炎症反应和趋化性有关。最后,使用来自基因表达综合数据库的两个独立的LUAD队列对这些基因进行验证,鉴定出4个基因(GTP酶IMAP家族成员1、T细胞表面糖蛋白CD1b、整合素α-L和白细胞表面抗原CD53),并且这些基因的下调表明与LUAD患者的总体生存率差有关。总之,对TME进行了全面分析,并鉴定出LUAD患者中4个与预后相关的TME相关基因。

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