Wang Zhanwei, Katsaros Dionyssios, Shen Yi, Fu Yuanyuan, Canuto Emilie Marion, Benedetto Chiara, Lu Lingeng, Chu Wen-Ming, Risch Harvey A, Yu Herbert
Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.
Department of Surgical Sciences, Gynecologic Oncology, Azienda Ospedaliero-Universitaria Città della Salute, Turin, Italy.
PLoS One. 2015 Aug 19;10(8):e0136246. doi: 10.1371/journal.pone.0136246. eCollection 2015.
To investigate the biologic relevance and clinical implication of genes involved in multiple gene expression signatures for breast cancer prognosis, we identified 16 published gene expression signatures, and selected two genes, MAD2L1 and BUB1. These genes appeared in 5 signatures and were involved in cell-cycle regulation. We analyzed the expression of these genes in relation to tumor features and disease outcomes. In vitro experiments were also performed in two breast cancer cell lines, MDA-MB-231 and MDA-MB-468, to assess cell proliferation, migration and invasion after knocking down the expression of these genes. High expression of these genes was found to be associated with aggressive tumors and poor disease-free survival of 203 breast cancer patients in our study, and the association with survival was confirmed in an online database consisting of 914 patients. In vitro experiments demonstrated that lowering the expression of these genes by siRNAs reduced tumor cell growth and inhibited cell migration and invasion. Our investigation suggests that MAD2L1 and BUB1 may play important roles in breast cancer progression, and measuring the expression of these genes may assist the prediction of breast cancer prognosis.
为了研究参与乳腺癌预后多基因表达特征的基因的生物学相关性和临床意义,我们鉴定了16个已发表的基因表达特征,并选择了两个基因,即MAD2L1和BUB1。这些基因出现在5个特征中,并且参与细胞周期调控。我们分析了这些基因的表达与肿瘤特征和疾病转归的关系。还在两种乳腺癌细胞系MDA-MB-231和MDA-MB-468中进行了体外实验,以评估敲低这些基因的表达后细胞的增殖、迁移和侵袭情况。在我们的研究中,发现这些基因的高表达与203例乳腺癌患者的侵袭性肿瘤和无病生存期差相关,并且在一个由914例患者组成的在线数据库中证实了其与生存的相关性。体外实验表明,通过小干扰RNA降低这些基因的表达可减少肿瘤细胞生长并抑制细胞迁移和侵袭。我们的研究表明,MAD2L1和BUB1可能在乳腺癌进展中起重要作用,检测这些基因的表达可能有助于预测乳腺癌的预后。