七种自噬相关长链非编码 RNA 与肿瘤免疫微环境相关，可预测非小细胞肺癌的生存风险。
Seven autophagy-related lncRNAs are associated with the tumor immune microenvironment in predicting survival risk of nonsmall cell lung cancer.
出版信息
Brief Funct Genomics. 2022 May 21;21(3):177-187. doi: 10.1093/bfgp/elab043.
BACKGROUND
Nonsmall cell lung cancer (NSCLC) ranks first among global cancer-related deaths. Despite the emergence of various immunological and targeted therapies, immune tolerance remains a barrier to treatment.
METHODS
It has been found that this obstacle can be overcome by targeting autophagy-related genes (ATGs). ATGs were screened by coexpression analysis and the genes related to the prognosis of lung cancer were screened using Kaplan-Meier (K-M) survival analysis, univariate Cox regression and multivariate Cox regression. The prognostic risk model of ATGs was constructed and verified using K-M survival analysis and receiver operating characteristic (ROC) curve analysis.
RESULTS
The prognostic risk model of ATGs was constructed. Gene set enrichment analysis (GSEA) showed that the function and pathway of ATG enrichment were closely related to immune cell function. CIBERSORT, LM22 matrix and Pearson correlation analysis showed that risk signals were significantly correlated with immune cell infiltration and immune checkpoint genes.
CONCLUSIONS
We identified and independently verified the ATG (AL691432.2, MMP2-AS1, AC124067.2, CRNDE, ABALON, AL161431.1, NKILA) in NSCLC patients and found that immune regulation in the tumor microenvironment is closely related to this gene.
背景
非小细胞肺癌（NSCLC）在全球癌症相关死亡中位居首位。尽管出现了各种免疫和靶向治疗方法，但免疫耐受仍然是治疗的障碍。
方法
通过共表达分析发现，通过靶向自噬相关基因（ATGs）可以克服这一障碍。使用 Kaplan-Meier（K-M）生存分析、单因素 Cox 回归和多因素 Cox 回归筛选与肺癌预后相关的基因。使用 K-M 生存分析和受试者工作特征（ROC）曲线分析构建和验证 ATGs 的预后风险模型。
结果
构建了 ATGs 的预后风险模型。基因集富集分析（GSEA）表明，ATG 富集的功能和途径与免疫细胞功能密切相关。CIBERSORT、LM22 矩阵和 Pearson 相关分析表明，风险信号与免疫细胞浸润和免疫检查点基因显著相关。
结论
我们在 NSCLC 患者中鉴定和独立验证了 ATG（AL691432.2、MMP2-AS1、AC124067.2、CRNDE、ABALON、AL161431.1、NKILA），并发现肿瘤微环境中的免疫调节与该基因密切相关。
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