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分泌磷蛋白 1(SPP1)和纤连蛋白 1(FN1)的整合表达谱分析与食管癌的进展和预后相关。

Secreted Phosphoprotein 1 (SPP1) and Fibronectin 1 (FN1) Are Associated with Progression and Prognosis of Esophageal Cancer as Identified by Integrated Expression Profiles Analysis.

机构信息

Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China (mainland).

Department of Pathology and Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China (mainland).

出版信息

Med Sci Monit. 2020 Mar 24;26:e920355. doi: 10.12659/MSM.920355.

Abstract

BACKGROUND Esophageal cancer is a malignant tumor with a complex pathogenesis and a poor 5-year survival rate, which encourages researchers to explore its molecular mechanisms deeper to improve the prognosis. MATERIAL AND METHODS DEGs were from 4 Gene Expression Omnibus (GEO) databases (GSE92396, GSE20347, GSE23400, and GSE45168) including 87 esophageal tumor samples and 84 normal samples. We performed Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Protein-Protein interaction (PPI) analysis, and GeneMANIA to identify the DEGs. Gene set enrichment analysis (GSEA) and Kaplan-Meier survival analyses were performed. RESULTS There was an overlapping subset consisting of 120 DEGs that was present in all esophageal tumor samples. The DEGs were enriched in extracellular matrix (ECM)-receptor interaction, as well as focal adhesion and transcriptional mis-regulation in cancer. The 2 most crucial regulatory pathways in esophageal cancer were the amebiasis pathway and the PI3K-Akt signaling pathway. Secreted phosphoprotein 1 (SPP1) and fibronectin 1 (FN1) were selected and verified in an independent cohort and samples using the TCGA and GTEx projects. Gene set enrichment analysis (GSEA) showed that proteasome and nucleotide excision repair were 2 most differentially enriched pathways in the SPP1 high-expression phenotype, and ECM-receptor interaction and focal adhesion in FN1 high-expression phenotype. Kaplan-Meier survival analysis showed that SPP1 and FN1 were significantly positively related to overall survival and had the potential to predict patient relapse. CONCLUSIONS Our analysis is the first to show that SPP1 and FN1 might work as biological markers of progression and prognosis in esophageal carcinoma (ESCA).

摘要

背景

食管癌是一种具有复杂发病机制且 5 年生存率较差的恶性肿瘤,这促使研究人员更深入地探索其分子机制,以改善预后。

材料和方法

差异表达基因(DEGs)来自 4 个基因表达综合数据库(GEO)(GSE92396、GSE20347、GSE23400 和 GSE45168),包括 87 个食管肿瘤样本和 84 个正常样本。我们进行了基因本体论(GO)分析、京都基因与基因组百科全书(KEGG)分析、蛋白质-蛋白质相互作用(PPI)分析和 GeneMANIA,以识别 DEGs。进行了基因集富集分析(GSEA)和 Kaplan-Meier 生存分析。

结果

在所有食管肿瘤样本中都存在一个由 120 个 DEGs 组成的重叠子集。DEGs 富集在细胞外基质(ECM)-受体相互作用、焦点黏附和癌症转录失调中。食管癌最重要的 2 个调控途径是阿米巴病途径和 PI3K-Akt 信号通路。在独立队列和使用 TCGA 和 GTEx 项目的样本中,选择并验证了分泌磷蛋白 1(SPP1)和纤维连接蛋白 1(FN1)。基因集富集分析(GSEA)显示,蛋白酶体和核苷酸切除修复是 SPP1 高表达表型中差异最显著的 2 条富集途径,而 ECM-受体相互作用和 FN1 高表达表型中的焦点黏附。Kaplan-Meier 生存分析表明,SPP1 和 FN1 与总生存呈显著正相关,有潜力预测患者复发。

结论

我们的分析首次表明,SPP1 和 FN1 可能作为食管癌(ESCA)进展和预后的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f54f/7111131/dbb2cb346dce/medscimonit-26-e920355-g001.jpg

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