Wu Min, Zhao Hongmei
Department of General Surgery, Beijing Youan Hospital, Capital Medical University, Beijing 100069, P.R. China.
Department of General Surgery, Peking University Third Hospital, Beijing 100191, P.R. China.
Oncol Lett. 2020 Nov;20(5):217. doi: 10.3892/ol.2020.12080. Epub 2020 Sep 9.
Breast cancer (BC) remains the most common cancer in females. Therefore, the present study aimed to identify key genes involved in the carcinogenesis of BC and to explore their prognostic values by integrating bioinformatics tools. The gene expression profiles of 46 ductal carcinoma (DCIS) and three normal breast tissues from the GSE59248 dataset were downloaded. Differentially expressed genes (DEGs) were subsequently identified using the online tool GEO2R and a functional enrichment analysis was performed. In addition, a protein-protein interaction (PPI) network was constructed and the top eight hub genes were identified. The prognostic values of the hub genes were further investigated. A total of 316 DEGs, including 32 upregulated and 284 downregulated genes, were identified. Furthermore, eight hub genes, including lipase E hormone sensitive type, patatin like phospholipase domain containing 2, adiponectin C1Q and collagen domain containing (ADIPOQ), peroxisome proliferator activated receptor γ (PPARG), fatty acid binding protein 4 (FABP4), diacylglycerol O-acyltransferase 2, lipoprotein lipase (LPL) and leptin (LEP), were identified from the PPI network. The downregulated expression of ADIPOQ, PPARG, FABP4, LPL and LEP was significantly associated with poor overall survival in patients with DCIS. Therefore, these genes may serve as potential biomarkers for prognosis prediction. However, further investigation is required to validate the results obtained in the present study.
乳腺癌（BC）仍然是女性中最常见的癌症。因此，本研究旨在识别参与BC致癌过程的关键基因，并通过整合生物信息学工具来探索它们的预后价值。从GSE59248数据集中下载了46例导管原位癌（DCIS）和3个正常乳腺组织的基因表达谱。随后使用在线工具GEO2R识别差异表达基因（DEG），并进行功能富集分析。此外，构建了蛋白质-蛋白质相互作用（PPI）网络，并识别出前八个枢纽基因。进一步研究了枢纽基因的预后价值。共识别出316个DEG，包括32个上调基因和284个下调基因。此外，从PPI网络中识别出八个枢纽基因，包括激素敏感性脂肪酶E、含帕他汀样磷脂酶结构域2、含脂联素C1Q和胶原结构域（ADIPOQ）、过氧化物酶体增殖物激活受体γ（PPARG）、脂肪酸结合蛋白4（FABP4）、二酰基甘油O-酰基转移酶2、脂蛋白脂肪酶（LPL）和瘦素（LEP）。ADIPOQ、PPARG、FABP4、LPL和LEP的表达下调与DCIS患者较差的总生存期显著相关。因此，这些基因可能作为预后预测的潜在生物标志物。然而，需要进一步研究来验证本研究获得的结果。
