Xiong Hui, Gao Hui, Hu Jinding, Dai Yun, Wang Hanbo, Fu Min, Qi Taiguo, Li Lianjun, Xia Qinghua, Jin Xunbo, Cui Zilian, Kang Weiting
Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.
Department of Urology, Liaocheng People's Hospital, Liaocheng, Shandong 252000, China.
J Oncol. 2021 Jul 26;2021:5345181. doi: 10.1155/2021/5345181. eCollection 2021.
Compelling evidence indicates that immune function is correlated with the prognosis of bladder cancer (BC). Here, we aimed to develop a clinically translatable immune-related gene pairs (IRGPs) prognostic signature to estimate the overall survival (OS) of bladder cancer. From the 251 prognostic-related IRGPs, 37 prognostic-related IRGPs were identified using LASSO regression. We identified IRGPs with the potential to be prognostic markers. The established risk scores divided BC patients into high and low risk score groups, and the survival analysis showed that risk score was related to OS in the TCGA-training set ( < 0.001; HR = 7.5 [5.3, 10]). ROC curve analysis showed that the AUC for the 1-year, 3-year, and 5-year follow-up was 0.820, 0.883, and 0.879, respectively. The model was verified in the TCGA-testing set and external dataset GSE13507. Multivariate analysis showed that risk score was an independent prognostic predictor in patients with BC. In addition, significant differences were found in gene mutations, copy number variations, and gene expression levels in patients with BC between the high and low risk score groups. Gene set enrichment analysis showed that, in the high-risk score group, multiple immune-related pathways were inhibited, and multiple mesenchymal phenotype-related pathways were activated. Immune infiltration analysis revealed that immune cells associated with poor prognosis of BC were upregulated in the high-risk score group, whereas immune cells associated with a better prognosis of BC were downregulated in the high-risk score group. Other immunoregulatory genes were also differentially expressed between high and low risk score groups. A 37 IRGPs-based risk score signature is presented in this study. This signature can efficiently classify BC patients into high and low risk score groups. This signature can be exploited to select high-risk BC patients for more targeted treatment.
有力证据表明免疫功能与膀胱癌(BC)的预后相关。在此,我们旨在开发一种具有临床可转化性的免疫相关基因对(IRGPs)预后特征,以评估膀胱癌的总生存期(OS)。从251个与预后相关的IRGPs中,使用LASSO回归鉴定出37个与预后相关的IRGPs。我们鉴定出了具有成为预后标志物潜力的IRGPs。所建立的风险评分将BC患者分为高风险评分组和低风险评分组,生存分析表明风险评分与TCGA训练集中的OS相关(<0.001;HR = 7.5 [5.3, 10])。ROC曲线分析表明,1年、3年和5年随访的AUC分别为0.820、0.883和0.879。该模型在TCGA测试集和外部数据集GSE13507中得到验证。多变量分析表明风险评分是BC患者的独立预后预测因子。此外,高风险评分组和低风险评分组的BC患者在基因突变、拷贝数变异和基因表达水平上存在显著差异。基因集富集分析表明,在高风险评分组中,多个免疫相关通路受到抑制,多个间充质表型相关通路被激活。免疫浸润分析显示,与BC预后不良相关的免疫细胞在高风险评分组中上调,而与BC预后较好相关的免疫细胞在高风险评分组中下调。其他免疫调节基因在高风险评分组和低风险评分组之间也存在差异表达。本研究提出了一种基于37个IRGPs的风险评分特征。该特征可以有效地将BC患者分为高风险评分组和低风险评分组。该特征可用于选择高风险BC患者进行更有针对性的治疗。