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一种可预测肺腺癌预后和免疫治疗反应的新型免疫相关ceRNA网络。

A novel immune-related ceRNA network that predicts prognosis and immunotherapy response in lung adenocarcinoma.

作者信息

Gong Wei-Jing, Zhou Tao, Wu San-Lan, Huang Yi-Fei, Xiang Li-Ping, Xu Jia-Qiang, Han Yong, Lv Yong-Ning, Zeng Fang, Zhang Yu

机构信息

Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, China.

出版信息

Ann Transl Med. 2021 Sep;9(18):1484. doi: 10.21037/atm-21-4151.

Abstract

BACKGROUND

The tumor microenvironment plays an important role in the progression and malignancy of lung adenocarcinoma and affects the immunotherapy response. There is increasing evidence that long non-coding RNAs (lncRNAs) as competing endogenous RNAs (ceRNAs) have significant functions in the development and treatment response of various kinds of cancer. This study aimed to explore the association between immune-related lncRNA-microRNA (miRNA)-messenger RNA (mRNA)-ceRNA networks, and the prognosis of and immunotherapy response in lung adenocarcinoma.

METHODS

RNA-sequencing (RNA-seq) and miRNA-seq data from The Cancer Genome Atlas (TCGA) were used to evaluate the infiltration of immune cells in lung adenocarcinoma samples by undertaking a single-sample gene set enrichment analysis (ssGSEA) to divide the cells into high and low immune cell infiltration groups. The differentially expressed mRNA (DEmRNA) was further analyzed by a weighted gene co-expression network analysis (WGCNA), search tool for recurring instances of neighboring genes (STRING), and Cytoscape to select hub genes. The ceRNA network was constructed using Cytoscape. Additionally, survival analyses were conducted to screen out prognostic candidate genes.

RESULTS

Seven thousand five hundred and thirty-eight mRNAs, 540 lncRNAs, and 138 miRNAs were found to be differentially expressed between the high and low immune cell infiltration groups. The two DEmRNA modules most significantly associated with immune cell infiltration were further analyzed, and four clusters, including 179 DEmRNAs, were selected based on Molecular Complex Detection (MCODE) scores. The selected DEmRNAs in the four clusters were mainly enriched in pathways involved in regulating the immune response. Ultimately, a ceRNA network of was identified as being associated with the prognosis of and immunotherapy response in lung adenocarcinoma.

CONCLUSIONS

The present study extends understandings of immune-related lncRNA-miRNA-mRNA-ceRNA networks and identifies novel targets and a regulatory pathway for anti-tumor immunotherapy.

摘要

背景

肿瘤微环境在肺腺癌的进展和恶性程度中起重要作用,并影响免疫治疗反应。越来越多的证据表明,长链非编码RNA(lncRNA)作为竞争性内源性RNA(ceRNA)在各种癌症的发生发展和治疗反应中具有重要功能。本研究旨在探讨免疫相关lncRNA-微小RNA(miRNA)-信使RNA(mRNA)-ceRNA网络与肺腺癌预后及免疫治疗反应之间的关联。

方法

利用来自癌症基因组图谱(TCGA)的RNA测序(RNA-seq)和miRNA-seq数据,通过单样本基因集富集分析(ssGSEA)评估肺腺癌样本中免疫细胞的浸润情况,将细胞分为高免疫细胞浸润组和低免疫细胞浸润组。通过加权基因共表达网络分析(WGCNA)、邻近基因重复实例搜索工具(STRING)和Cytoscape进一步分析差异表达mRNA(DEmRNA),以选择枢纽基因。使用Cytoscape构建ceRNA网络。此外,进行生存分析以筛选出预后候选基因。

结果

在高免疫细胞浸润组和低免疫细胞浸润组之间发现7538个mRNA、540个lncRNA和138个miRNA存在差异表达。对与免疫细胞浸润最显著相关的两个DEmRNA模块进行进一步分析,并根据分子复合物检测(MCODE)评分选择了包括179个DEmRNA的四个聚类。四个聚类中选定的DEmRNA主要富集于参与调节免疫反应的途径。最终,确定了一个与肺腺癌预后及免疫治疗反应相关的ceRNA网络。

结论

本研究扩展了对免疫相关lncRNA-miRNA-mRNA-ceRNA网络的认识,并确定了抗肿瘤免疫治疗的新靶点和调控途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c7/8506752/e0449edaaefe/atm-09-18-1484-f1.jpg

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