Wan Jiaming, Guo Cheng, Fang Hongpeng, Xu Zhongye, Hu Yongwei, Luo Yun
Department of Urology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Department of Otorhinolaryngology Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Front Oncol. 2021 Apr 1;11:647236. doi: 10.3389/fonc.2021.647236. eCollection 2021.
Bladder cancer (BC) is one of the most common malignant urinary system tumors, and its prognosis is poor. In recent years, autophagy has been closely linked to the development of BC. Therefore, we investigated the potential prognostic role of autophagy-related long non-coding RNA (lncRNA) in patients with BC. We obtained the lncRNA information and autophagy genes, respectively, from The Cancer Genome Atlas (TCGA) data set and the human autophagy database (HADb) and performed a co-expression analysis to identify autophagy gene-associated lncRNAs. Then, we divided the data into training group and testing group. In the training group, 15 autophagy-related lncRNAs were found to have a prognostic value (AC026369.3, USP30-as1, AC007991.2, AC104785.1, AC010503.4, AC037198.1, AC010331.1, AF131215.6, AC084357.2, THUMPD3-AS1, U62317.4, MAN1B1-DTt, AC024060.1, AL662844.4, and AC005229.4). The patients were divided into low-risk group and high-risk group based on the prognostic lncRNAs. The overall survival (OS) time for the high-risk group was shorter than that for the low-risk group [risk ratio (hazard ratio, HR) = 1.08, 95% CI: 1.06-1.10; < 0.0001]. Using our model, the defined risk value can predict the prognosis of a patient. Next, the model was assessed in the TCGA testing group to further validate these results. A total of 203 patients with BC were recruited to verify the lncRNA characteristics. We divided these patients into high-risk group and low-risk group. The results of testing data set show that the survival time of high-risk patients is shorter than that of low-risk patients. In the training group, the area under the curve (AUC) was more than 0.7, indicating a high level of accuracy. The AUC for a risk model was greater than that for each clinical feature alone, indicating that the risk value of a model was the best indicator for predicting the prognosis. Further training data analysis showed that the gene set was significantly enriched in cancer-related pathways, including actin cytoskeleton regulation and gap junctions. In conclusion, our 15 autophagy-related lncRNAs have a prognostic potential for BC, and may play key roles in the biology of BC.
膀胱癌(BC)是最常见的泌尿系统恶性肿瘤之一,其预后较差。近年来,自噬与BC的发生发展密切相关。因此,我们研究了自噬相关长链非编码RNA(lncRNA)在BC患者中的潜在预后作用。我们分别从癌症基因组图谱(TCGA)数据集和人类自噬数据库(HADb)中获取lncRNA信息和自噬基因,并进行共表达分析以鉴定与自噬基因相关的lncRNAs。然后,我们将数据分为训练组和测试组。在训练组中,发现15种自噬相关lncRNAs具有预后价值(AC026369.3、USP30-as1、AC007991.2、AC104785.1、AC010503.4、AC037198.1、AC010331.1、AF131215.6、AC084357.2、THUMPD3-AS1、U62317.4、MAN1B1-DTt、AC024060.1、AL662844.4和AC005229.4)。根据预后lncRNAs将患者分为低风险组和高风险组。高风险组的总生存(OS)时间短于低风险组[风险比(危险比,HR)=1.08,95%CI:1.06-1.10;P<0.0001]。使用我们的模型,定义的风险值可以预测患者的预后。接下来,在TCGA测试组中评估该模型以进一步验证这些结果。共招募了203例BC患者以验证lncRNA特征。我们将这些患者分为高风险组和低风险组。测试数据集的结果表明,高风险患者的生存时间短于低风险患者。在训练组中,曲线下面积(AUC)大于0.7,表明准确性较高。风险模型的AUC大于单独的每个临床特征的AUC,表明模型的风险值是预测预后的最佳指标。进一步的训练数据分析表明,该基因集在与癌症相关的通路中显著富集,包括肌动蛋白细胞骨架调节和间隙连接。总之,我们的15种自噬相关lncRNAs对BC具有预后潜力,可能在BC生物学中发挥关键作用。