利用 TCGA 数据库分析解剖位置相似的癌症中缺氧相关基因的表达谱。

Hye Lim Bae, Kyeonghun Jeong, Suna Yang, Hyeji Jun, Kwangsoo Kim, Young Jun Chai
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引用次数: 0

摘要

背景:缺氧是实体瘤肿瘤微环境的一个公认特征。本研究旨在根据肿瘤位置分析各组共有的缺氧相关基因。研究方法从《京都基因组百科全书》数据库或 Reactome 数据库中选取了 9 条缺氧相关通路,分析了 850 个缺氧相关基因。根据解剖位置,14 种肿瘤类型被分为 6 组。根据 mRNA 表达情况,将组别遗传风险评分分为高风险和低风险,并对生存结果进行评估。结果女性生殖组和肺部组的风险评分经过了内部和外部验证。在女性生殖组中,CDKN2A、FN1和ITGA5被确定为与不良预后相关的枢纽基因,而IL2RB和LEF1则与良好预后相关。在肺组中,ITGB1和LDHA与预后不良有关,而GLS2与预后良好有关。功能富集分析表明,女性生殖组与纤毛和皮肤有关,而肺组则与细胞因子和防御有关。结论这项分析可能有助于更好地了解癌症进展的机制,并有助于建立新的生物标志物来预测预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression Profiles of Hypoxia-Related Genes of Cancers Originating from Anatomically Similar Locations Using TCGA Database Analysis.

Background: Hypoxia is a well-recognized characteristic of the tumor microenvironment of solid cancers. This study aimed to analyze hypoxia-related genes shared by groups based on tumor location. Methods: A total of 9 hypoxia-related pathways from the Kyoto Encyclopedia of Genes and Genomes database or the Reactome database were selected, and 850 hypoxia-related genes were analyzed. Based on their anatomical locations, 14 tumor types were categorized into 6 groups. The group-specific genetic risk score was classified as high- or low-risk based on mRNA expression, and survival outcomes were evaluated. Results: The risk scores in the Female Reproductive group and the Lung group were internally and externally validated. In the Female Reproductive group, CDKN2A, FN1, and ITGA5 were identified as hub genes associated with poor prognosis, while IL2RB and LEF1 were associated with favorable prognosis. In the Lung group, ITGB1 and LDHA were associated with poor prognosis, and GLS2 was associated with favorable prognosis. Functional enrichment analysis showed that the Female Reproductive group was enriched in relation to cilia and skin, while the Lung group was enriched in relation to cytokines and defense. Conclusions: This analysis may lead to better understanding of the mechanisms of cancer progression and facilitate establishing new biomarkers for prognosis prediction.

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