State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China.
Autophagy. 2010 Apr;6(3):395-404. doi: 10.4161/auto.6.3.11303. Epub 2010 Apr 26.
Recent studies have suggested that autophagy plays a pivotal role in regulation of cancer development and progression. High expression of the autophagy-related Beclin 1 protein predicted favorable patient outcome in several tumors. Here, a randomized controlled trial (RCT)-derived 128 nasopharyngeal carcinoma (NPC) patients were subjected to analysis of Beclin 1 expression and survival probability. In this RCT, 61 patients treated with induction chemotherapy plus concurrent chemoradiotherapy were used as a training set to generate a Beclin 1 cutoff score for patient outcome by receiver operating characteristic (ROC) curve analysis. For validation, the ROC-derived cutoff point was subjected to analysis of the association of Beclin 1 expression with patient outcome and clinical characteristics in testing set. The testing set comprised of 67 patients received induction chemotherapy plus radiotherapy. In the testing set and overall patients, our univariate and multivariate analysis showed that higher Beclin 1 expression, defined by the training set ROC analysis-generated cutoff score, predicted poorer overall survival, progression-free survival and distant metastasis-free survival. However, we failed to detect a correlation between Beclin 1 and local failure-free survival. Moreover, a positive relationship between Beclin 1 and HI F-1alpha expression was found. Importantly, among patients with elevated HI F-1alpha expression, a subset with lower Beclin 1 expression displayed a significant overall survival advantage than those with higher expression (p = 0.036). Contrary to previous studies, our results demonstrated that high autophagic Beclin 1 expression was an inferior prognostic marker for NPC. HI F-1alpha-associated Beclin 1 high expression might facilitate NPC cells surviving from chemoradiotherapy, suggesting a novel therapeutic molecular target for NPC.
最近的研究表明,自噬在调节癌症的发生和发展中起着关键作用。自噬相关蛋白 Beclin 1 的高表达预测了几种肿瘤患者的良好预后。在这里,我们对一项随机对照试验(RCT)中衍生的 128 例鼻咽癌(NPC)患者的 Beclin 1 表达和生存概率进行了分析。在这项 RCT 中,61 例接受诱导化疗加同期放化疗的患者作为训练集,通过接受者操作特征(ROC)曲线分析生成 Beclin 1 截断评分以预测患者的预后。为了验证,我们将 ROC 衍生的截断点应用于检测集,分析 Beclin 1 表达与患者预后和临床特征的关系。检测集包括 67 例接受诱导化疗加放疗的患者。在检测集和所有患者中,我们的单因素和多因素分析表明,由训练集 ROC 分析生成的截断评分定义的更高的 Beclin 1 表达预测了更差的总生存率、无进展生存率和无远处转移生存率。然而,我们未能检测到 Beclin 1 与局部无失败生存率之间的相关性。此外,我们发现 Beclin 1 与 HIF-1alpha 表达之间存在正相关关系。重要的是,在 HIF-1alpha 表达升高的患者中,Beclin 1 表达较低的亚组与表达较高的患者相比,总生存率有显著优势(p = 0.036)。与之前的研究结果相反,我们的研究结果表明,高自噬 Beclin 1 表达是 NPC 的预后不良标志物。HIF-1alpha 相关的 Beclin 1 高表达可能有助于 NPC 细胞从放化疗中存活,提示 NPC 的一个新的治疗分子靶点。