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差异表达基因的鉴定揭示 BGN 可预测胃癌的总生存期和肿瘤免疫浸润。

Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric Cancer.

机构信息

Department of Radiology, The First Affiliated Hospital of Jinzhou Medical University, 121001, China.

Department of Stomatology, The First Affiliated Hospital of Jinzhou Medical University, 121001, China.

出版信息

Comput Math Methods Med. 2021 Nov 26;2021:5494840. doi: 10.1155/2021/5494840. eCollection 2021.

DOI:10.1155/2021/5494840
PMID:34868341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8641985/
Abstract

Gastric cancer (GC) is one of the most widely occurring malignancies worldwide. Although the diagnosis and treatment strategies of GC have been greatly improved in the past few decades, the morbidity and lethality rates of GC are still rising due to lacking early diagnosis strategies and powerful treatments. In this study, a total of 37 differentially expressed genes were identified in GC by analyzing TCGA, GSE118897, GSE19826, and GSE54129. Using the PPI database, we identified 17 hub genes in GC. By analyzing the expression of hub genes and OS, MFAP2, BGN, and TREM1 were related to the prognosis of GC. In addition, our results showed that higher levels of BGN exhibited a significant correlation with shorter OS time in GC. Nomogram analysis showed that the dysregulation of BGN could predict the prognosis of GC. Moreover, we revealed that BGN had a markedly negative correlation with B cells but had positive correlations with CD8 T cells, CD4 T cells, macrophages, neutrophils, and dendritic cells in GC samples. The pan-cancer analysis demonstrated that BGN was differentially expressed and related to tumor-infiltrating immune cells across human cancers. This study for the first time comprehensively revealed that BGN was a potential biomarker for the prediction of GC prognosis and tumor immune infiltration.

摘要

胃癌(GC)是全球最常见的恶性肿瘤之一。尽管在过去几十年中,GC 的诊断和治疗策略有了很大的改进,但由于缺乏早期诊断策略和有效的治疗方法,GC 的发病率和死亡率仍在上升。在本研究中,通过分析 TCGA、GSE118897、GSE19826 和 GSE54129 数据集,鉴定出 37 个在 GC 中差异表达的基因。利用 PPI 数据库,鉴定出 GC 中的 17 个枢纽基因。通过分析 hub 基因的表达和 OS,MFAP2、BGN 和 TREM1 与 GC 的预后相关。此外,我们的结果表明,GC 中 BGN 水平较高与 OS 时间较短显著相关。列线图分析表明,BGN 的失调可预测 GC 的预后。此外,我们揭示了在 GC 样本中,BGN 与 B 细胞呈明显负相关,而与 CD8 T 细胞、CD4 T 细胞、巨噬细胞、中性粒细胞和树突状细胞呈正相关。泛癌分析表明,BGN 在人类癌症中差异表达并与肿瘤浸润免疫细胞相关。本研究首次全面揭示了 BGN 是预测 GC 预后和肿瘤免疫浸润的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/7bccf75049f9/CMMM2021-5494840.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/d4be30a8b6ac/CMMM2021-5494840.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/4cd463325ee2/CMMM2021-5494840.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/6eb23d999747/CMMM2021-5494840.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/4b433b8a22ad/CMMM2021-5494840.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/e7b9b29b538a/CMMM2021-5494840.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/0161d3d21ff3/CMMM2021-5494840.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/7bccf75049f9/CMMM2021-5494840.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/d4be30a8b6ac/CMMM2021-5494840.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/4cd463325ee2/CMMM2021-5494840.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/6eb23d999747/CMMM2021-5494840.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/4b433b8a22ad/CMMM2021-5494840.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/e7b9b29b538a/CMMM2021-5494840.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/0161d3d21ff3/CMMM2021-5494840.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e8/8641985/7bccf75049f9/CMMM2021-5494840.007.jpg

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