高级糖化终产物受体 DNA 甲基化与肺腺癌和肺鳞癌的免疫渗透和预后有关

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY Genetics research Pub Date : 2023-07-18 eCollection Date: 2023-01-01 DOI:10.1155/2023/7129325
Jun Yang, Mingqiang Lin, Mengyan Zhang, Zhiping Wang, Hancui Lin, Yilin Yu, Qunhao Zheng, Xiaohui Chen, Yahua Wu, Qiwei Yao, Jiancheng Li
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摘要

背景:高级糖化终末产物受体(AGER)是一种多配体受体,可与多种配体相互作用。以往的研究表明,AGER 的异常表达与免疫浸润和肿瘤发生密切相关。然而,AGER DNA甲基化与LUAD和LUSC预后和浸润免疫细胞之间的关系仍不清楚:方法:利用 UALCAN 数据库获取泛癌中 AGER 的表达。Kaplan-Meier plotter显示了AGER mRNA表达水平与临床病理参数的相关性。AGER的蛋白质表达水平来自人类蛋白质图谱数据库分析。UCSC Xena数据库显示了AGER的拷贝数、体细胞突变和DNA甲基化情况。利用TIMER平台和TISIDB网站显示AGER表达与肿瘤免疫细胞浸润水平的相关性:结果:AGER在肺腺癌(LUAD)和肺鳞癌(LUSC)中的表达水平明显降低。AGER的低表达与组织学、分期、淋巴结转移和肿瘤蛋白53(TP53)突变明显相关,可作为肺腺癌和肺鳞癌预后不良的潜在指标。此外,AGER的表达与浸润的免疫细胞呈正相关。进一步分析表明,拷贝数变异(CNV)、突变和DNA甲基化参与了AGER的下调。此外,我们还发现高甲基化的AGER与肿瘤浸润淋巴细胞显著相关:结论:AGER可能是与肿瘤免疫微环境相关的LUAD和LUSC预后生物标志物的候选者。
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Advanced Glycation End Products' Receptor DNA Methylation Associated with Immune Infiltration and Prognosis of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.

Background: Advanced glycation end products' receptor (AGER) is a multiligand receptor that interacts with a wide range of ligands. Previous studies have shown that abnormal AGER expression is closely related to immune infiltration and tumorigenesis. However, the AGER DNA methylation relationship between prognosis and infiltrating immune cells in LUAD and LUSC is still unclear.

Methods: AGER expression in pan-cancer was obtained by using the UALCAN databases. Kaplan-Meier plotter showed the correlation of AGER mRNA expression levels and clinicopathological parameters. The protein expression levels for AGER were derived from Human Protein Atlas Database Analysis. The copy number, somatic mutation, and DNA methylation of AGER were presented with UCSC Xena database. TIMER platform and TISIDB website were used to show the correlation between AGER expression and tumor immune cell infiltration level.

Results: The expression level of AGER was significantly reduced in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Low expression of AGER was significantly correlated with histology, stage, lymph node metastasis, and tumor protein 53 (TP53) mutation and could be used as a potential indicator of poor prognosis of LUAD and LUSC. Moreover, AGER expression was positively correlated with the infiltrating immune cells. Further analysis showed that copy number variation (CNV), mutation, and DNA methylation were involved in AGER downregulation. In addition, we also found that hypermethylated AGER was significantly correlated with tumor-infiltrating lymphocytes.

Conclusion: AGER may be a candidate for the prognostic biomarker of LUAD and LUSC related to tumor immune microenvironment.

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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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