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CCR2和PTPRC是肿瘤微环境的调节因子及肺腺癌潜在的预后生物标志物。

CCR2 and PTPRC are regulators of tumor microenvironment and potential prognostic biomarkers of lung adenocarcinoma.

作者信息

Wei Jie, Fang Dalang, Zhou Weijie

机构信息

Department of Hematology, Baise People's Hospital, Baise, China.

Department of Breast and Thyroid Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.

出版信息

Ann Transl Med. 2021 Sep;9(18):1419. doi: 10.21037/atm-21-3301.

Abstract

BACKGROUND

Tumor microenvironment (TME) plays an essential role in lung adenocarcinoma (LUAD) development and metastasis. With the development of TME research, it has been proved that differences in tumor-infiltrating immune cells (TICs) and gene expression profile are related to the prognosis of cancer. The aim of our study was to identify key genes affecting immune state in TME of LUAD.

METHODS

The RNA-seq data and clinical characteristics of 594 LUAD patients were downloaded from the TCGA database. ImmuneScore, StromalScore and ESTIMATEScore of each LUAD sample were calculated using ESTIMATE algorithm. Based on the median of different scores, LUAD samples were divided into high and low score groups. Differentially expressed genes (DEGs) between groups were obtained, and univariate Cox regression analysis and protein-protein interaction (PPI) network were used to screen the shared DEGs generating in the intersection analysis. Finally, the CIBORSORT algorithm was performed to calculate the relative contents of TICs for each LUAD sample, and the correlation analysis between TICs and key genes was used to determine the influence of key genes to the TME.

RESULTS

In the presented study, we found that three different scores were positively correlated with the prognosis of LUAD patients, and correlation analysis showed the different scores were closely related to tumor progression and metastasis. After performing the intersection analysis, a total of 585 up-regulated and 107 down-regulated DEGs between the high and low score groups were obtained, all of which were enriched in immune-related functions. Having used univariate COX regression analysis and PPI network, the key genes, CCR2 and PTPRC, affecting the immune status of TME and the prognosis of LUAD were acquired. Analysis based on the CIBERSORT algorithm suggested that CCR2 and PTPRC were correlated with a variety of TICs, and closely related to the clinical characteristics of the LUAD patients.

CONCLUSIONS

Our research showed that CCR2 and PTPRC may be potential prognostic markers in LUAD, which may affect the function of γδT cells and other immune cells by participating in the regulation of TME immune state.

摘要

背景

肿瘤微环境(TME)在肺腺癌(LUAD)的发生发展及转移过程中起着至关重要的作用。随着TME研究的进展,已证实肿瘤浸润免疫细胞(TICs)的差异和基因表达谱与癌症预后相关。本研究的目的是鉴定影响LUAD肿瘤微环境免疫状态的关键基因。

方法

从TCGA数据库下载594例LUAD患者的RNA测序数据及临床特征。使用ESTIMATE算法计算每个LUAD样本的免疫评分、基质评分和ESTIMATE评分。根据不同评分的中位数,将LUAD样本分为高分和低分两组。获得两组间的差异表达基因(DEGs),并通过单因素Cox回归分析和蛋白质-蛋白质相互作用(PPI)网络筛选交集分析中产生的共享DEGs。最后,运用CIBORSORT算法计算每个LUAD样本中TICs的相对含量,并通过TICs与关键基因的相关性分析来确定关键基因对TME的影响。

结果

在本研究中,我们发现三种不同评分与LUAD患者的预后呈正相关,相关性分析表明不同评分与肿瘤进展和转移密切相关。经过交集分析,高分和低分两组间共获得585个上调和107个下调的DEGs,所有这些基因均富集于免疫相关功能。通过单因素COX回归分析和PPI网络,获得了影响TME免疫状态和LUAD预后的关键基因CCR2和PTPRC。基于CIBERSORT算法的分析表明,CCR2和PTPRC与多种TICs相关,且与LUAD患者的临床特征密切相关。

结论

我们的研究表明,CCR2和PTPRC可能是LUAD潜在的预后标志物,它们可能通过参与TME免疫状态的调节来影响γδT细胞和其他免疫细胞的功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eb0/8506762/bdd70b2ac584/atm-09-18-1419-f1.jpg

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