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肺腺癌预后的微环境分析及免疫相关基因的分子特征。

Microenvironment Analysis of Prognosis and Molecular Signature of Immune-Related Genes in Lung Adenocarcinoma.

机构信息

Youjiang Medical University for NationalitiesBaise, GuangxiP.R. China.

出版信息

Oncol Res. 2021 Mar 16;28(6):561-578. doi: 10.3727/096504020X15907428281601. Epub 2020 May 29.

DOI:10.3727/096504020X15907428281601
PMID:32471520
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7962936/
Abstract

There is growing evidence on the clinical significance of tumor microenvironment (TME) cells in predicting prognosis and therapeutic effects. However, cell interactions in tumor microenvironments have not been thoroughly studied or systematically analyzed so far. In this study, 22 immune cell components in the lung adenocarcinoma (LUAD) TME were analyzed using gene expression profile from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The TME-based molecular subtypes of LUAD were defined to evaluate further the relationship between molecular subtypes, prognosis, and clinical characteristics. A TME risk score model was constructed by using the differentially expressed genes (DEGs) of molecular subtypes. The relationship between the TME score and clinical characteristics and genomic mutations was compared to identify the genes that have significant associations with the TME. The comprehensive analysis of the TME characteristics may be helpful in revealing the response of LUAD patients to immunotherapy, providing a new strategy for immunotherapy.

摘要

越来越多的证据表明肿瘤微环境（TME）细胞在预测预后和治疗效果方面具有重要的临床意义。然而，目前为止，肿瘤微环境中的细胞相互作用尚未得到充分的研究或系统的分析。本研究利用癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）中的基因表达谱分析了肺腺癌（LUAD）TME 中的 22 种免疫细胞成分。根据 TME 定义了 LUAD 的分子亚型，以进一步评估分子亚型、预后和临床特征之间的关系。通过使用分子亚型差异表达基因（DEGs）构建了 TME 风险评分模型。比较了 TME 评分与临床特征和基因组突变的关系，以确定与 TME 有显著关联的基因。对 TME 特征的综合分析可能有助于揭示 LUAD 患者对免疫治疗的反应，为免疫治疗提供新的策略。

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