Construction and analysis of a prognostic assessment model of angiogenesis related LncRNA in bladder urothelial cancer

doi:10.3877/cma.j.issn.1674-3253.2025.03.006

Abstract

Abstract:

Objective

To investigate the prognostic role of long non-coding RNA （LncRNA）in bladder urothelial carcinoma （BLCA） and to establish a prognostic assessment model of BLCA angiogenesis-associated LncRNA.

Methods

The RNA sequencing and clinical data of BLCA were downloaded from the TCGA database， and the latest list of human angiogenesis genes was obtained from the molecular characteristics database.The correlation coefficient between each LncRNA and each angiogenesis gene was calculated， and LncRNA significantly correlated with angiogenesis genes were obtained.Univariate and multivariate Cox regression analysis was performed for each LncRNA using R software， and the LncRNA associated with BLCA prognosis was screened by Kaplan-Meier method.Kaplan-Meier curves of survival time of relevant LncRNA and BLCA patients were drawn， and the risk score of each sample was calculated.According to the score， the samples were divided into high-risk group and low-risk group， and the differences in survival between the two groups were compared.The ROC curve was drawn to evaluate the predictive ability of the model， and Cox regression was used to analyze the correlation between the risk score and patients' clinical characteristics and survival.

Results

Initial screening identified 207 LncRNA associated with BLCA angiogenesis （correlation coefficient |R|＞0.4，P＜0.001）.Cox regression analysis was used to select 9 angiogenesis-related LncRNA that independently correlated with BLCA prognosis to establish a prognostic assessment model for BLCA.According to the model， patients were divided into high-risk and low-risk groups， and the survival of patients in the high-risk group was significantly shorter than that in the low-risk group （P＜0.05）.The area under the ROC curve of the model is 0.716， indicating that the model has good predictive efficiency.The risk score was positively correlated with age， tumor grade， pathological stage and T stage （P＜0.05） and was an independent prognostic predictor of BLCA.

Conclusion

The prognostic assessment model based on LncRNA associated with angiogenesis can provide accurate prognostic assessment for BLCA patients and help guide individualized treatment selection and prognostic assessment for BLCA patients.

Key words: Bladder urothelial carcinoma, Angiogenesis, Long non-coding RNA(LncRNA), Prognosis, Model

Zhaohui Long, Dan Chen, Yijie Wang, Genyi Qu, Yong Xu, Guang Yang, Wenlin Huang, Cheng Tang. Construction and analysis of a prognostic assessment model of angiogenesis related LncRNA in bladder urothelial cancer[J]. Chinese Journal of Endourology(Electronic Edition), 2025, 19(03): 315-322.

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URL: https://zhqjmnmwkzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.1674-3253.2025.03.006

https://zhqjmnmwkzz.cma-cmc.com.cn/EN/Y2025/V19/I03/315

Figures/Tables 4

LncRNA	coef	HR	95%CI	P值
C1RL-AS1	-0.24	0.79	0.50～0.92	0.012
AL049840.3	0.23	1.26	1.01～1.38	0.040
TMEM51-AS1	-0.16	0.85	0.67～0.90	0.001
SNHG9	-0.02	0.98	0.97～1.00	0.039
AC090198.1	-0.35	0.70	0.52～0.96	0.027
USP30-AS1	-0.20	0.82	0.81～0.95	0.001
AC011472.1	-0.17	0.84	0.66～1.00	0.047
AL136084.3	0.20	1.22	1.11～1.50	0.001
LINC02544	0.04	1.04	1.01～1.07	0.006

因素	例数	风险评分（ $\overset{ˉ}{x}$ ± s ）	t 值	P值
年龄（岁）			-2.21	0.028
≤65	68	1.07±0.82
＞ 65	99	1.39±1.02
性别			1.37	0.179
女性	36	1.48±1.16
男性	131	1.20±0.88
肿瘤分级			4.43	0.001
低级别	17	1.32±0.98
高级别	150	0.73±0.44
病理分期			-3.22	0.002
Ⅰ～Ⅱ	52	0.96±0.71
Ⅲ～Ⅳ	115	1.40±1.02
T 分期			-2.97	0.003
T_1～2	57	1.00±0.70
T_3～4	110	1.40±1.04

因素	例数	风险评分（ $\overset{ˉ}{x}$ ± s ）	t 值	P值
年龄（岁）			-2.21	0.028
≤65	68	1.07±0.82
＞ 65	99	1.39±1.02
性别			1.37	0.179
女性	36	1.48±1.16
男性	131	1.20±0.88
肿瘤分级			4.43	0.001
低级别	17	1.32±0.98
高级别	150	0.73±0.44
病理分期			-3.22	0.002
Ⅰ～Ⅱ	52	0.96±0.71
Ⅲ～Ⅳ	115	1.40±1.02
T 分期			-2.97	0.003
T_1～2	57	1.00±0.70
T_3～4	110	1.40±1.04

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