Osamah TY -的A2思•易卜拉欣盟盛,汉盟-潘,桓盟——姚明,明非盟-徐,龙胜AU - Lu, Jianju盟——刘贝贝盟——沈Jianfen盟——沈,回族PY - 2021 DA - 2021/12/20 TI -综合分析圆形RNA-Associated龙头、网络揭示潜在circRNA生物标记在人类乳腺癌SP - 1732176六世- 2021 AB -环状RNA (circRNA)与肿瘤发生密切相关和癌症进展。然而,癌症特异性的角色在circRNA-related circRNAs龙头、乳腺癌的网络(BRCA)尚不清楚。本研究的目的是构建一个龙头、网络与circRNA和探索新的治疗和预后相关的目标和为乳腺癌生物标记。我们下载了circRNA表达谱的BRCA基因表达综合(GEO)微阵列数据集和下载microrna的mRNA表达谱的BRCA癌症基因组图谱(TCGA)数据库。差异表达mrna (DEmRNAs)差异表达microrna (DEmiRNAs)和差异表达circRNAs (DEcircRNAs),和竞争内源性RNA(龙头)监管网络构建基于circRNA-miRNA双和miRNA-mRNA对。基因本体论和通路富集分析在mrna受circRNAs龙头、网络。生存分析和相关分析的mrna和microrna的龙头、网络进行。158年共有72 DEcircRNAs DEmiRNAs, 2762 DE mrna被确定。所构造的电抗器,网络包含60 circRNA-miRNA双和140 miRNA-mRNA对,包括40 circRNAs 30 microrna, 100 mrna。功能性浓缩表明DEmRNAs受DEcircRNAs龙头、网络明显丰富PI3K-Akt信号通路中,小分子核糖核酸在癌症和癌症中蛋白聚糖。 Survival analysis and correlation analysis of all mRNAs and miRNAs in the ceRNA network showed that 13 mRNAs and 6 miRNAs were significantly associated with overall survival, and 48 miRNA–mRNA interaction pairs had a significant negative correlation. A PPI network was established, and 21 hub genes were determined from the network. This study provides an effective bioinformatics basis for further understanding of the molecular mechanisms and predictions of breast cancer. A better understanding of the circRNA-related ceRNA network in BRCA will help identify potential biomarkers for diagnosis and prognosis. SN - 1748-670X UR - https://doi.org/10.1155/2021/1732176 DO - 10.1155/2021/1732176 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -