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分析 Barrett 食管患者免疫相关基因表达谱和免疫细胞组成。

Analysis of immune related gene expression profiles and immune cell components in patients with Barrett esophagus.

机构信息

Department of Gastroenterology, Xuzhou Central Hospital, Xuzhou, Jiangsu, China.

出版信息

Sci Rep. 2022 Jun 2;12(1):9209. doi: 10.1038/s41598-022-13200-6.

Abstract

Barrett's esophagus (BE) is a well-known precancerous condition of esophageal adenocarcinoma. However, the immune cells and immune related genes involved in BE development and progression are not fully understood. Therefore, our study attempted to investigate the roles of immune cells and immune related genes in BE patients. The raw gene expression data were downloaded from the GEO database. The limma package in R was used to screen differentially expressed genes (DEGs). Then we performed the least absolute shrinkage and selection operator (LASSO) and random forest (RF) analyses to screen key genes. The proportion of infiltrated immune cells was evaluated using the CIBERSORT algorithm between BE and normal esophagus (NE) samples. The spearman index was used to show the correlations of immune genes and immune cells. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of key genes in BE. A total of 103 differentially expressed immune-related genes were identified between BE samples and normal samples. Then, 7 genes (CD1A, LTF, FABP4, PGC, TCF7L2, INSR,SEMA3C) were obtained after Lasso analysis and RF modeling. CIBERSORT analysis revealed that resting CD4 T memory cells and gamma delta T cells were present at significantly lower levels in BE samples. Moreover, plasma cell and regulatory T cells were present at significantly higher levels in BE samples than in NE samples. INSR had the highest AUC values in ROC analysis. We identified 7 immune related genes and 4 different immune cells in our study, that may play vital roles in the occurrence and development of BE. Our findings improve the understanding of the molecular mechanisms of BE.

摘要

巴雷特食管(BE)是食管腺癌的一种著名癌前病变。然而,涉及 BE 发展和进展的免疫细胞和免疫相关基因尚未完全了解。因此,我们的研究试图探讨免疫细胞和免疫相关基因在 BE 患者中的作用。从 GEO 数据库下载原始基因表达数据。使用 R 中的 limma 包筛选差异表达基因(DEGs)。然后,我们进行最小绝对值收缩和选择算子(LASSO)和随机森林(RF)分析,以筛选关键基因。使用 CIBERSORT 算法评估 BE 和正常食管(NE)样本之间浸润免疫细胞的比例。使用 spearman 指数显示免疫基因和免疫细胞之间的相关性。使用接收器操作特征(ROC)曲线评估关键基因在 BE 中的诊断价值。在 BE 样本和正常样本之间鉴定出 103 个差异表达的免疫相关基因。然后,经过 Lasso 分析和 RF 建模,获得了 7 个基因(CD1A、LTF、FABP4、PGC、TCF7L2、INSR、SEMA3C)。CIBERSORT 分析表明,BE 样本中静止 CD4 T 记忆细胞和γδ T 细胞的水平明显较低。此外,BE 样本中的浆细胞和调节性 T 细胞的水平明显高于 NE 样本。在 ROC 分析中,INSR 具有最高的 AUC 值。在我们的研究中,我们确定了 7 个免疫相关基因和 4 种不同的免疫细胞,它们可能在 BE 的发生和发展中发挥重要作用。我们的研究结果提高了对 BE 分子机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/9163054/9753e4d849c7/41598_2022_13200_Fig1_HTML.jpg

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