School of Graduate Studies, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA.
Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 59 Dudley Road, Foran Hall, New Brunswick, NJ, 08901, USA.
Med Oncol. 2018 Apr 11;35(5):67. doi: 10.1007/s12032-018-1130-7.
Early-onset breast cancer is the most prevalent cancer in the female. To identify the differentially expressed genes and the key signaling pathways in early-onset breast cancer, we have carried out the bioinformatic analysis of an RNA array dataset in the GEO database, GSE109169, which was acquired from early-onset breast cancer patient. A total of 118 differentially expressed genes in early-onset breast cancer were significantly changed compared with that in adjacent normal tissues. Most of these genes are classified into three categories: signaling molecule, enzyme modulator, and hydrolase. Gene ontology terms reveal that most of these genes are involved in cellular and metabolic processes, biological regulation, binding and catalytic activities, and receptor regulation. Protein-protein interaction network was constructed and has two highly enriched modules: one with up-regulated genes and the other with down-regulated genes. The singling pathways are mainly enriched in the cellular immune system, lipid metabolism and other types of metabolic pathways. Finally, we have plotted the Kaplan-Meier curves of two up-regulated and two down-regulated genes for the overall survival prediction in breast cancer. These results greatly expand the current view of early-onset breast cancer and shed light on the discovery of drug candidates and the improvement for the prognosis.
早发性乳腺癌是女性最常见的癌症。为了鉴定早发性乳腺癌中的差异表达基因和关键信号通路，我们对 GEO 数据库中的 RNA 芯片数据集 GSE109169 进行了生物信息学分析，该数据集来自早发性乳腺癌患者。与相邻正常组织相比，早发性乳腺癌中共有 118 个差异表达基因发生了显著变化。这些基因大多分为三类：信号分子、酶调节剂和水解酶。基因本体论术语表明，这些基因大多参与细胞和代谢过程、生物调节、结合和催化活性以及受体调节。构建了蛋白质-蛋白质相互作用网络，有两个高度富集的模块：一个模块包含上调基因，另一个模块包含下调基因。信号通路主要富集在细胞免疫系统、脂质代谢和其他类型的代谢途径中。最后，我们绘制了两个上调基因和两个下调基因的 Kaplan-Meier 曲线，用于预测乳腺癌的总生存率。这些结果极大地扩展了对早发性乳腺癌的现有认识，并为药物候选物的发现和预后的改善提供了线索。
