Wang Baohua, Song Ning, Yu Tong, Zhou Lianya, Zhang Helin, Duan Lin, He Wenshu, Zhu Yihua, Bai Yunfei, Zhu Miao
Department of Thoracic Surgery, The Second Hospital of HeBei Medical University, Shijiazhuang, 050000, China.
Department of Respiratory Medicine, The Second Hospital of HeBei Medical University, Shijiazhuang, 050000, China.
PLoS One. 2014 Dec 30;9(12):e115945. doi: 10.1371/journal.pone.0115945. eCollection 2014.
In this study, we conducted a meta-analysis on high-throughput gene expression data to identify TNF-α-mediated genes implicated in lung cancer. We first investigated the gene expression profiles of two independent TNF-α/TNFR KO murine models. The EGF receptor signaling pathway was the top pathway associated with genes mediated by TNF-α. After matching the TNF-α-mediated mouse genes to their human orthologs, we compared the expression patterns of the TNF-α-mediated genes in normal and tumor lung tissues obtained from humans. Based on the TNF-α-mediated genes that were dysregulated in lung tumors, we developed a prognostic gene signature that effectively predicted recurrence-free survival in lung cancer in two validation cohorts. Resampling tests suggested that the prognostic power of the gene signature was not by chance, and multivariate analysis suggested that this gene signature was independent of the traditional clinical factors and enhanced the identification of lung cancer patients at greater risk for recurrence.
在本研究中,我们对高通量基因表达数据进行了荟萃分析,以鉴定与肺癌相关的肿瘤坏死因子-α(TNF-α)介导的基因。我们首先研究了两种独立的TNF-α/肿瘤坏死因子受体(TNFR)基因敲除小鼠模型的基因表达谱。表皮生长因子(EGF)受体信号通路是与TNF-α介导的基因相关的首要通路。在将TNF-α介导的小鼠基因与其人类直系同源基因匹配后,我们比较了从人类获取的正常和肿瘤肺组织中TNF-α介导的基因的表达模式。基于在肺肿瘤中失调的TNF-α介导的基因,我们开发了一种预后基因特征,该特征在两个验证队列中有效地预测了肺癌的无复发生存率。重采样测试表明该基因特征的预后能力并非偶然,多变量分析表明该基因特征独立于传统临床因素,并增强了对复发风险较高的肺癌患者的识别。