江汉大学学报(自然科学版) ›› 2024, Vol. 52 ›› Issue (4): 76-87.doi: 10.16389/j.cnki.cn42-1737/n.2024.04.009

• 医学 • 上一篇    

LncRNA m6A 修饰在肺癌患者的 预后及免疫微环境中的鉴定及价值分析

黄 开1,张思佳2,王云霞*3   

  1. 1. 江汉大学 医学部,湖北 武汉 430056;2. 华中科技大学 同济医学院附属协和医院肿瘤中心, 湖北 武汉 430022;3. 湖北省第三人民医院 疼痛科,湖北 武汉 430030
  • 发布日期:2024-09-29
  • 通讯作者: 王云霞
  • 作者简介:黄 开(1997— ),男,硕士生,研究方向:肿瘤学。

Identification and Value Analysis of lncRNA m6A Modification in Prognosis and Immune Microenvironment of Lung Cancer Patients

HUANG Kai1,ZHANG Sijia2,WANG Yunxia*3   

  1. 1. School of Medicine,Jianghan University,Wuhan 430056,Hubei,China;2. Cancer Center,Union Hospital Af‐ filiated to Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430022,Hubei,China; 3. Department of Pain Management,The Third People's Hospital of Hubei Province,Wuhan 430030,Hubei,China
  • Published:2024-09-29
  • Contact: WANG Yunxia

摘要: 目 的 确定 m6A 相关 LncRNA 与免疫浸润在肺癌中的相关性和预后价值。方 法 从 TCGA 数据库中下载肺癌患者的临床相关信息和 RNA-Seq 转录组数据。采用单因素 Cox 回归 分析和 Pearson 分析筛选出与 m6A 相关的 LncRNA。采用共识聚类分析法将样本分为两个聚类, 采用套索分析法和最小绝对收缩法构建风险评分模型。结 果 共筛选 5 个 LncRNA 表达谱,将 肺癌患者分为不同的亚型。簇 2 预后较好,该簇与免疫细胞相关。选取 5 个 LncRNA 构建风险模 型,高危组肺癌患者预后较差。肿瘤组织中 PD-L1 的表达明显高于正常组织。单因素和多因 素 Cox 回归分析结果显示,总生存率与分期和风险评分显著相关,可作为一个独立的预后因素。 风险评分与免疫细胞浸润之间的关系结果显示,免疫细胞与风险评分相关。结 论 m6A 相关的 LncRNA 可能在肺癌患者的预后和肿瘤免疫微环境中发挥重要作用,并为肺癌患者的治疗提供 一定的帮助。

关键词: m6A, LncRNA, 免疫浸润, 免疫微环境, 肺癌

Abstract: Objective To determine the correlation and prognostic value of m6A-related lncRNA and immune infiltration in lung cancer. Methods The clinical-related information and RNA-Seq transcriptome data of lung cancer patients were downloaded from the TCGA database. Univariate Cox regression and Pearson analysis were used to screen out m6Arelated lncRNA. Consensus cluster analysis was used to divide the sample into two clusters, and LASSO analysis and minimum absolute shrinkage were used to construct a risk-scoring model. Results A total of 5 lncRNA expression profiles were screened,and lung cancer patients were divided into different subtypes. Cluster 2 had a better prognosis,and this cluster was related to immune cells. Five lncRNAs were selected to construct a risk model, and the prognosis of lung cancer patients in the high-risk group was poor. The expression of PD-L1 in tumors was significantly higher than in normal tissues. Univariate and multivariate Cox regression analysis showed that the overall survival rate was significantly related to stage and risk score,which could be used as an independent prognostic factor. The relationship between risk score and immune cell infiltration showed that immune cells were correlated with risk scores. Conclusion The results of this study indicate that m6A-related lncRNA may play an important role in the prognosis of lung cancer patients and the tumor immune microenvironment,which provides certain help to the treatment of lung cancer patients.

Key words: m6A, lncRNA, immune infiltrates, immune microenvironment, lung cancer

中图分类号: