与免疫浸润相关的肺腺癌驱动基因识别

Identification of driver genes related to immune infiltration in lung adenocarcinoma

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DOI 10.12208/j.ijcan.20220001
刊名
International Journal of Cancer Research
年,卷(期) 2022, 3(1)
作者
作者单位

内蒙古大学 内蒙古呼和浩特 ;

摘要
作为发病率和死亡率较高的恶性肿瘤,肺腺癌由于异质性和早期诊断不足,导致其预后差。本文从癌症基因组图谱数据库下载了576个肺腺癌患者样本的临床信息和转录组数据,通过免疫分析和加权基因共表达网络分析,从与肺腺癌相关的差异表达基因中识别出149个与基质评分、免疫评分及肿瘤纯度高度关联的肿瘤免疫浸润相关基因。在此基础上,基于生存分析和LASSO回归分析,3个与免疫浸润相关的肺腺癌驱动基因(IL16、P2RY13和HLA-DPB1)被识别,并用于构建风险评估模型。ROC曲线显示,该模型可较好地模拟肺腺癌患者一年、三年和五年的生存率,预测的AUC值分别为0.74、0.68和0.70。免疫分析显示,相较于高风险组,低风险组有更高的基质评分与免疫评分以及更低的肿瘤纯度,并且低风险组的免疫细胞富集程度显著高于高风险组。总之,这些结果有望为肺腺癌的临床研究提供理论帮助。
Abstract
As a malignancy with high morbidity and mortality, lung adenocarcinoma (LUAD) has a poor prognosis due to its heterogeneity and inadequate early diagnosis. Clinical information and transcriptomic data of 576 LUAD patients were downloaded from the TCGA database, 149 immune-infiltrated genes highly associated with stromal score, immune score and tumor purity were extracted from the LUAD-related differentially expressed genes via performing immunoanalysis and weighted gene co-expression networkanalysis. On this basis, survival analysis and LASSO regression analysis were applied to these genes. Three LUAD driving genes (IL16, P2RY13 and HLA-DPB1) related to immune infiltration were obtained and subsequently transformed into a risk assessment model. ROC curve showed that the model could effectively simulate the survival rates of LUAD patients at one-year, three-year and five-year, and the predicted AUC results were 0.74, 0.68 and 0.70, respectively. Immunoanalysis displayed that the low-risk group got higher stromal and immune scores and lower tumor purity than those in the high-risk group, and the enrichment of immune cells in the low-risk group was significantly higher than that in the high-risk group. In summary, these results may provide theoretical guidance for the clinical studies of LUAD.
关键词
肺腺癌;免疫浸润;肺腺癌驱动基因
KeyWord
Lung adenocarcinoma; Immune infiltration; Lung adenocarcinoma driving gene
基金项目
页码 1-7
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张天宇,张璐强*. 与免疫浸润相关的肺腺癌驱动基因识别 [J]. 国际肿瘤研究杂志. 2022; 3; (1). 1 - 7.

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