A gene expression profiling to predict recurrence of advanced tongue squamous cell carcinoma (TSCC): Discovery and external validation

Though several approaches for improving therapy have been carried out, the prognoses of TSCC patients still remains poor. Furthermore, biological markers, which are able to distinguish patients at high risk of recurrence has not been sufficiently explored. In this study, we identified and validated the 30-specific genes for predicting TSCC patiens prognosis. In addition, the gene expression profiling data was successfully converted to protein expression profiling data. Global gene expression analysis was performed on 26 clinicopathologically homogeneous advanced TSCC tissue samples using cDNA microarray. We then identified 30-predictive genes associated with recurrence and created formula to predict the individual patients’ prognosis. The validation study to examine whether the genes expression pattern enable to predict prognosis was perfomerd in another publicly available three cohorts of microarray data set.

尽管已有多种治疗优化策略被提出，但舌鳞状细胞癌（TSCC）患者的预后仍不容乐观。此外，能够甄别复发高风险人群的生物学标志物仍未得到充分探索。本研究中，我们筛选并验证了30个特异性基因，用于预测TSCC患者的预后。此外，本研究成功将基因表达谱数据转化为蛋白质表达谱数据。研究团队采用cDNA微阵列技术，对26份临床病理均一的晚期TSCC组织样本开展了全基因组表达分析。随后，我们筛选出30个与复发相关的预后预测基因，并构建了可预测个体患者预后的评分公式。我们利用另外3个公开可用的微阵列数据集队列，开展了验证研究，以评估该基因表达模式是否可有效预测患者预后。