Prognostic Value and Immune Infiltrates of ABCA8 and FABP4 in Stomach Adenocarcinoma
Prognostic Value and Immune Infiltrates of ABCA8 and FABP4 in Stomach Adenocarcinoma
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DOI：
10.1155/2020/4145164
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发表时间：
2020-06-28
影响因子：
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通讯作者：
Wang, Ya Li
中科院分区：
文献类型：
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作者：
Guo, Ya;Wang, Zhong Wei;Wang, Ya Li
背景胃腺癌是世界范围内常见的恶性肿瘤，预后差。因此，重要的是要确定一个有价值的预后STAD的生物标志物。本研究的目的是鉴定新的STAD预后生物标志物，并评估中枢基因在STAD中的潜在作用。方法.进行基因表达谱交互分析（GEPIA）和癌症RNA-Seq Nexus以鉴定差异表达基因（DEG）。随后，通过维恩图选择枢纽基因，并通过UALCAN数据库确认关键基因的表达。此外，使用Oncolnc和人类蛋白质图谱（HPA）数据库进行这些枢纽基因的存活分析。通过cBioPortal评估枢纽基因的基因改变状态。最后，我们通过肿瘤免疫评估资源（TIMER）和GEPIA数据库研究了STAD中枢纽基因与免疫细胞浸润之间的关系。结果获得了三个共同的枢纽基因，包括2个下调的DEG（ABCA 8和FABP 4）和一个上调的DEG（SLC 52 A3）。ABCA 8、FABP 4表达增高及SLC 52 A3表达降低与预后不良相关。与此同时，三个枢纽基因在STAD的各个数据集中表现出遗传变异。最后，我们的研究结果表明，ABCA 8和FABP 4与免疫浸润呈正相关，特别是在M2巨噬细胞中。结论.本研究的结果表明，ABCA 8和FABP 4可用作预后生物标志物，并与STAD中的免疫浸润相关。
Background. Stomach adenocarcinoma (STAD) is a common malignancy worldwide with poor prognosis. Therefore, it is important to identify a valuable prognostic biomarker for STAD. The aim of present study was to identify novel prognostic biomarkers for STAD and evaluate the potential role of hub genes in STAD. Methods. Gene Expression Profiling Interactive Analysis (GEPIA) and Cancer RNA-Seq Nexus were performed to identify differentially expressed genes (DEGs). Subsequently, hub genes were selected by a Venn diagram, and the expression of key genes was confirmed by UALCAN database. Furthermore, survival analysis of these hub genes was performed using Oncolnc and Human Protein Atlas (HPA) database. Gene alteration status of hub genes was assessed by cBioPortal. Finally, we investigated the association between hub genes and immune cell infiltration in STAD through the Tumor Immune Estimation Resource (TIMER) and GEPIA database. Results. Three common hub genes were obtained, including 2 downregulated DEGs (ABCA8 and FABP4) and one upregulated DEG (SLC52A3). Furthermore, increased expression of ABCA8 and FABP4 and decreased expression of SLC52A3 were correlated with poor prognosis. Meanwhile, three hub genes showed genetic alterations in various datasets of STAD. Finally, our results showed that ABCA8 and FABP4 displayed a positive correlation with immune infiltration, especially in M2 macrophages. Conclusions. The results of this study suggest that ABCA8 and FABP4 may be used as prognostic biomarkers and correlated with immune infiltration in STAD.