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基于生物信息学分析EGFR在乳腺癌中的表达和预后意义
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Abstract:
通过生物信息学方法筛选乳腺癌相关基因，探究EGFR作为靶点在乳腺癌分子机制中的作用。分析公共基因芯片数据平台(gene expression omnibus, GEO)的乳腺癌RNA基因芯片数据集，得到差异基因并进行KEGG通路富集分析、蛋白相互作用网络分析得到核心基因，进一步研究其通路及其蛋白性质。结果表明，EGFR在原发性乳腺癌的发生、发展和迁移中起着重要的作用。
Breast cancer-related genes were screened using bioinformatics methods to explore the role of EGFR as a target in the molecular mechanisms of breast cancer. RNA gene chip datasets of breast cancer from the public gene chip data platform (Gene Expression Omnibus, GEO) were analyzed to obtain differentially expressed genes. Subsequently, KEGG pathway enrichment analysis and protein-protein interaction network analysis were conducted to identify core genes and further investigate their pathways and protein properties. The results indicate that EGFR plays a significant role in the occurrence, development, and metastasis of primary breast cancer.
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