Identification of Cancer/Testis Antigens Related to Gastric Cancer Prognosis Based on Co-Expression Network and Integrated Transcriptome Analyses.

Sara Ansari, Parvaneh Nikpour
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引用次数: 1

Abstract

Background: Gastric cancer is a worldwide life-threatening cancer. The underlying cause of it is still unknown. We have noticed that some cancer/testis antigens (CTAs) are up-regulated in gastric cancer. The role of these genes in gastric cancer development is not fully understood. The main aim of the current study was to comprehensively investigate CTAs' expression and function in stomach adenocarcinoma (STAD).

Materials and methods: A comprehensive list of CTA genes was compiled from different databases. Transcriptome profiles of STAD were downloaded from the cancer genome atlas (TCGA) database and analyzed. Differentially-expressed CTAs were identified. Pathway enrichment analysis, weighted gene correlation network analysis (WGCNA), and overall survival (OS) analysis were performed on differentially-expressed CTA genes.

Results: Pathway enrichment analysis indicates that CTA genes are involved in protein binding, ribonucleic acid processing, and reproductive tissues. WGCNA showed that six differentially-expressed CTA genes, namely Melanoma antigen gene (MAGE) family member A3, A6, A12 and chondrosarcoma associated gene (CSAG) 1, 2, and 3, were correlated. Up-regulation of MAGEA11, MAGEC3, Per ARNT SIM domain containing 1 (PASD1), placenta-specific protein 1 (PLAC1) and sperm protein associated with the nucleus X-linked family member (SPANXB1) were significantly associated with lower OS of patients.

Conclusion: MAGEA11, MAGEC3, PASD1, PLAC1, and SPANXB1 can be investigated as prognostic biomarkers in basic and clinical studies. Further functional experiments are needed to understand the exact interaction mechanisms of these genes.

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基于共表达网络和整合转录组分析的胃癌预后相关癌/睾丸抗原鉴定
背景:胃癌是一种世界性的危及生命的癌症。其根本原因尚不清楚。我们注意到一些癌/睾丸抗原(cta)在胃癌中表达上调。这些基因在胃癌发展中的作用尚未完全了解。本研究的主要目的是全面探讨cta在胃腺癌(STAD)中的表达和功能。材料和方法:从不同的数据库中编制了CTA基因的完整列表。从癌症基因组图谱(TCGA)数据库中下载STAD的转录组图谱并进行分析。鉴别出了差异表达的cta。对差异表达的CTA基因进行途径富集分析、加权基因相关网络分析(WGCNA)和总生存(OS)分析。结果:途径富集分析表明,CTA基因参与了蛋白质结合、核糖核酸加工和生殖组织。WGCNA显示,6个差异表达的CTA基因,即黑色素瘤抗原基因(MAGE)家族成员A3、A6、A12和软骨肉瘤相关基因(CSAG) 1、2、3存在相关性。MAGEA11、MAGEC3、Per ARNT SIM domain containing 1 (PASD1)、胎盘特异性蛋白1 (PLAC1)和与细胞核x连锁家族成员相关的精子蛋白(SPANXB1)的上调与患者的OS降低显著相关。结论:MAGEA11、MAGEC3、pas1、PLAC1和SPANXB1可作为基础和临床研究中的预后生物标志物。需要进一步的功能实验来了解这些基因的确切相互作用机制。
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