Chu Jianfeng, Li Ning, Li Fengguang
Department of Urinary Surgery, Yantaishan Hospital, Yantai, Shandong 264000, P.R. China.
Oncol Lett. 2018 Aug;16(2):2091-2096. doi: 10.3892/ol.2018.8904. Epub 2018 Jun 5.
Bladder cancer (BLCA) is among the most malignant types of cancer. At present, the prognostic tools available for this disease are insufficient. In the present study, the transcriptome of 1,049 BLCA samples from four datasets from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) were analyzed. By utilizing the RNA-seq data provided by TCGA, a risk score staging system model was built to predict the outcome of patients with BLCA using random forest variable hunting and Cox multivariate regression. A total of 7 genes, including zinc finger protein 230, Bcl2-like 14, AHNAK, transmembrane protein 109, apolipoprotein L2, advanced glycation end-product specific receptor and amine oxidase, copper containing 2 were identified as predicting the survival time of patients with BLCA. The patients with a low risk score had a significantly higher survival rate than those with a high-risk score both in the training and validation datasets. Association analyses between risk score and other clinical information were additionally performed; it was demonstrated that the risk score was significantly associated with pathological stage. A nomogram was plotted to compare risk score and other clinical information. The risk score spanned the greatest range of points, indicating the relative accuracy of risk score. In summary, the risk staging model based on the expression of 7 genes is robust and performs more effectively than other clinical information in predicting a prognosis.
膀胱癌（BLCA）是最恶性的癌症类型之一。目前，针对这种疾病的预后工具并不充分。在本研究中，对来自基因表达综合数据库（Gene Expression Omnibus）和癌症基因组图谱（The Cancer Genome Atlas，TCGA）的四个数据集中的1049个BLCA样本的转录组进行了分析。利用TCGA提供的RNA测序数据，通过随机森林变量搜索和Cox多变量回归建立了一个风险评分分期系统模型，以预测BLCA患者的预后。共鉴定出7个基因，包括锌指蛋白230、Bcl2样蛋白14、AHNAK、跨膜蛋白109、载脂蛋白L2、晚期糖基化终产物特异性受体和含铜2胺氧化酶，这些基因可预测BLCA患者的生存时间。在训练集和验证集中，低风险评分的患者生存率明显高于高风险评分的患者。此外，还进行了风险评分与其他临床信息之间的关联分析；结果表明，风险评分与病理分期显著相关。绘制了列线图以比较风险评分和其他临床信息。风险评分的得分范围最大，表明风险评分的相对准确性。总之，基于7个基因表达的风险分期模型是可靠的，并且在预测预后方面比其他临床信息表现更有效。
