膀胱尿路上皮癌自噬相关LncRNA预后风险模型的建立与分析

瞿根义; 向茂林; 徐勇; 阳光; 楚舟

doi:10.13201/j.issn.1001-1420.2021.07.004

膀胱尿路上皮癌自噬相关LncRNA预后风险模型的建立与分析

- 1. 中南大学湘雅医学院附属株洲医院泌尿外科(湖南株洲, 412007);
- 2. 中南大学湘雅医学院附属株洲医院科研科
基金项目:
株洲市科技计划项目(No:2019-001)

详细信息

通讯作者: 楚舟,E-mail:xiaozhou321@126.com

中图分类号: R737.14

收稿日期: 2020-12-30

Establishment and analysis of prognostic risk model of autophagy-related LncRNA in bladder urothelial carcinoma

- 1. Department of Urology, Affiliated Zhuzhou Hospital, XiangYa Medical College CSU, Zhuzhou, Hunan, 412007, China;
- 2. Department of Scientific Research, Affiliated Zhuzhou Hospital, XiangYa Medical College CSU

More Information

Corresponding author: CHU Zhou, E-mail: xiaozhou321@126.com

Received Date: 30 December 2020

摘要

摘要: 目的:本研究探讨自噬相关长非编码RNA(LncRNA)在膀胱尿路上皮癌(bladder urothelial carcinoma,BLCA)中的预后作用,并建立BLCA自噬相关LncRNA预后风险模型。方法:从TCGA数据库下载BLCA转录组数据和临床资料,从HADb数据库下载自噬基因列表,以Person相关性分析筛选BLCA自噬相关LncRNA,采用单因素Cox回归分析筛选具有预后意义的LncRNA,纳入多因素Cox回归分析和Kaplan-Meier法筛选具有独立预后的自噬相关LncRNA,并绘制生存曲线,同时在此基础上建立预后风险模型。计算患者的风险评分并将其分为低风险组和高风险组,比较两组患者的生存差异,采用ROC曲线评价模型的特异性和灵敏度,Cox回归分析风险评分与BLCA临床病理特征及预后的关系。结果:共筛选BLCA自噬相关LncRNA 377个(相关系数|r|＞0.5,P＜0.001),通过单因素和多因素Cox回归分析筛选出7个具有独立预后意义的自噬相关LncRNA建立预后风险模型,高风险组患者生存期显著低于低风险组患者,差异有统计学意义(P＜0.01),预测模型ROC曲线下面积AUC为0.704,预后模型的风险评分是BLCA的独立预测因子,风险评分与肿瘤分级、病理分期、淋巴结转移显著相关(P＜0.05)。结论:基于自噬相关LncRNA建立的预后风险模型对BLCA具有预后判断价值,有助于指导BLCA患者个体化治疗。
- 膀胱尿路上皮癌 /
- 自噬 /
- 长非编码RNA /
- 预后 /
- 模型
Abstract: Objective: To investigate the prognostic role of autophagy-related LncRNA in bladder urothelial carcinoma(BLCA), and establish a BLCA autophagy-related LncRNA prognostic risk model.Methods: We downloaded BLCA transcriptome data and clinical data from the TCGA database, downloaded the autophagy gene list from the HADb database, screened BLCA autophagy-related LncRNAs by Person correlation analysis, and used single-factor Cox regression analysis to screen LncRNAs with prognostic significance. Factor Cox regression analysis and Kaplan-Meier method were used to screen autophagy-related LncRNAs with independent prognosis, and to draw survival curves. At the same time, a prognostic risk model was established on this basis. The risk scores were calculated, then patients were divide into low-risk group and high-risk group. The difference in survival between the two groups was compared, and ROC curve was used to evaluate the specificity and sensitivity of the model. Cox regression was used to analyse the relationship between risk scores and clinicopathological characteristics, prognosis of BLCA.Results: A total of 377 BLCA autophagy-related LncRNAs were screened(correlation coefficient |r|＞0.5, P＜0.001), and 7 autophagy-related LncRNAs with independent prognostic significance were screened through univariate and multivariate Cox regression analysis to establish prognostic risk model. The survival time of patients in the high-risk group was significantly lower than that in the low-risk group, and the difference was statistically significant(P＜0.01). The area under the ROC curve of the prediction model AUC was 0.704. The risk score of the prognosis model is an independent predictor of BLCA. The score was significantly related to tumor grade, pathological stage and lymph node metastasis(P＜0.05).Conclusion: The prognostic risk model established based on autophagy-related LncRNA has prognostic value for BLCA and helps guide individualized treatment of BLCA patients.
- bladder urothelial carcinoma /
- autophagy /
- long noncoding RNA /
- prognosis /
- model

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