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跨数据库分析鉴定胃癌患者预后和肿瘤浸润免疫细胞相关的关键基因。

Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.

机构信息

The Second Clinical Medical College of Lanzhou University, Lanzhou, China.

Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, China.

出版信息

Cancer Biother Radiopharm. 2020 Nov;35(9):696-710. doi: 10.1089/cbr.2019.3423. Epub 2020 May 13.

Abstract

The molecular mechanisms underlying gastric cancer (GC) progression are unclear. The authors examined key genes associated with the prognosis and tumor-infiltrating immune cells in patients with GC. Gene expression omnibus (GEO) was used to filter and obtain GC-related differentially expressed genes (DEGs). The molecular functions, biological processes, and cellular components of the DEGs were subjected to enrichment analysis. Protein-protein interaction networks of proteins encoded by the DEGs were analyzed using STRING. The authors also identified hub genes of GC, as well as their expression levels in GC and their relationship with patient prognosis. The relationship between hub genes and tumor-infiltrating immune cells was analyzed by Tumor IMmune Estimation Resource. Six GEO datasets were included in this study, and 265 DEGs were identified. These DEGs were enriched in different signaling pathways and had different biological functions. Six hub genes were potentially significantly related to the molecular mechanisms of GC (, , , , , and ). These genes are potential markers of prognosis. Five hub genes were significantly positively correlated with the number of macrophages, neutrophils, and dendritic cells. The authors provide a theoretical basis for exploring the molecular regulation mechanism underlying GC and identifying therapeutic targets.

摘要

胃癌(GC)进展的分子机制尚不清楚。作者研究了与 GC 患者预后和肿瘤浸润免疫细胞相关的关键基因。使用基因表达综合数据库(GEO)筛选和获取 GC 相关差异表达基因(DEGs)。对 DEGs 编码的蛋白质进行分子功能、生物过程和细胞成分的富集分析。使用 STRING 分析 DEGs 编码的蛋白质的蛋白质-蛋白质相互作用网络。作者还鉴定了 GC 的枢纽基因及其在 GC 中的表达水平及其与患者预后的关系。通过肿瘤免疫估计资源分析了枢纽基因与肿瘤浸润免疫细胞的关系。本研究共纳入 6 个 GEO 数据集,鉴定出 265 个 DEGs。这些 DEGs 在不同的信号通路中富集,具有不同的生物学功能。6 个枢纽基因可能与 GC 的分子机制显著相关(,,,,, 和 )。这些基因是预后的潜在标志物。5 个枢纽基因与巨噬细胞、中性粒细胞和树突状细胞的数量呈显著正相关。作者为探索 GC 的分子调控机制和鉴定治疗靶点提供了理论依据。

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