中国临床药理学杂志

基于失巢凋亡相关基因构建膀胱癌预后模型的研究

PDF下载

汪露 ¹^,^2a , 陈琳 ^2a^,^2b , 谷延伦 ^2a^,^2b , 董秉琪 ^2a^,^2b , 陈洁 ^2a^,^2b , 崔一民 ¹^,^2a^,^2b^,^□

中国临床药理学杂志 | 读者园地 2025,41(2): 240-244

收起

中国临床药理学杂志 |读者园地 2025 , 41 (2) : 240 -244

基于失巢凋亡相关基因构建膀胱癌预后模型的研究

全屏

汪露¹^,^2a, 陈琳^2a^,^2b, 谷延伦^2a^,^2b, 董秉琪^2a^,^2b, 陈洁^2a^,^2b, 崔一民¹^,^2a^,^2b^,^□

作者信息

^1.温州医科大学药学院，浙江温州 325035

^2a.北京大学第一医院，临床药理研究所，北京 100034

^2b.北京大学第一医院，药学部，北京 100034

通讯作者:

崔一民，教授，博士生导师 Tel: （010）82802440 E-mail: cui.pharm@pkufh.com

作者简介:

汪露（1999-），女，硕士研究生，主要从事肿瘤临床与基础方面的相关研究

Construction of a prognostic model for bladder cancer based on loss-of-nest apoptosis-related genes

Lu WANG¹^,^2a, Lin CHEN^2a^,^2b, Yan-lun GU^2a^,^2b, Bing-qi DONG^2a^,^2b, Jie CHEN^2a^,^2b, Yi-min CUI¹^,^2a^,^2b^,^□

Affiliations

^1.School of Pharmacy, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China

^2a.Institute of Clinical Pharmacology, Peking University First Hospital, Beijing 100034, China

^2b.Department of Pharmacy, Peking University First Hospital, Beijing 100034, China

出版时间: 2025-01-28 doi: 10.13699/j.cnki.1001-6821.2025.02.018

文章导航

摘要

收起

目的

在膀胱癌中建立失巢凋亡相关基因（ANRs）预后风险模型，计算风险评分，并分析高、低风险评分的膀胱癌患者与肿瘤微环境的关系。

方法

通过公共数据库信息和Cox回归分析筛选预后相关的ANRs和临床独立风险因素。用最小绝对值收敛和选择算子算法（LASSO）分析和列线图建立预后风险模型。通过kaplan-meier生存分析和曲线下面积（AUC）验证预后风险模型准确度。通过CIBERSORT（https://cibersortx.stanford.edu/）和单样本基因集富集分析（ssGSEA）探究风险评分与肿瘤微环境的关系。

结果

预后相关的ANRs分别是B淋巴细胞瘤-2相关启动子（BAD）、细胞周期蛋白依赖性激酶抑制因子3（CDKN3）和增殖细胞核抗原（PCNA），临床独立风险因素分别是性别、年龄、临床分期（T、N）和风险评分。预后风险模型表达为风险评分=（0.155 2×BAD表达量）+（0.228 6×CDKN3表达量）+（0.011 4×PCNA表达量）和列线图。风险评分越低表示膀胱癌患者预后越好，生存曲线1、3、5年的AUC分别为0.732、0.620、0.541，列线图1、3、5年校准曲线几乎为对角对应，体现该模型准确。预后风险模型高、低风险组在膀胱癌肿瘤微环境中免疫细胞浸润方面呈现巨大差异。

结论

建立的膀胱癌失巢凋亡相关基因预后风险模型准确度高，可以较好地评估膀胱癌患者预后，高、低风险评分的膀胱癌患者与肿瘤微环境关系密切。

关键词

膀胱癌 / 失巢凋亡 / 治疗靶点 / 肿瘤微环境 / 预后价值

Abstract

收起

Objective

To develop a prognostic risk model for anoikis-related genes (ANRs) in bladder cancer, calculate risk scores, and analyze the relationship between bladder cancer patients with high and low risk scores and the tumor microenvironment.

Methods

Prognosis-related ANRs and clinically independent risk factors were screened by public database information and Cox regression analysis. Prognostic risk modeling was performed by least absolute shrinkage and selection operator (LASSO) analysis and column-line diagrams. Prognostic risk model accuracy was validated by kaplan-meier survival analysis and area under receiver operating characteristic curve (ROC) curve (AUC). The relationship between risk score and tumor microenvironment was explored by CIBERSORT (https://cibersortx.stanford.edu/) and single sample gene set enrichment analysis (ssGSEA).

Results

The prognostically relevant ANRs were B-lymphoblastoma-2-associated promoter (BAD), cell cycle protein-dependent kinase inhibitor 3 (CDKN3), and proliferating cell nuclear antigen (PCNA), and the clinically independent risk factors were gender, age, clinical stage (T, N), and risk score. The prognostic risk model was expressed as risk score = (0.155 2×BAD expression) + (0.2286×CDKN3 expression) + (0.0114×PCNA expression) and column line graph. The lower the risk score the better the prognosis of bladder cancer patients, the AUC of the survival curves for 1, 3 and 5 years were 0.732, 0.620 and 0.541, respectively, and the column line graphs of the 1-, 3- and 5-year calibration curves almost corresponded diagonally, reflecting the accuracy of the model. The high and low risk groups of the prognostic risk model showed great differences in immune cell infiltration in the tumor microenvironment of bladder cancer.

Conclusion

The established prognostic risk model for bladder cancer loss of apoptosis-related genes is highly accurate and can better assess the prognosis of bladder cancer patients, and bladder cancer patients with high and low risk scores are closely related to the tumor microenvironment.

Key words

bladder cancer / anoikis / therapeutic target / tumour microenvironment / prognostic value

引用本文

汪露, 陈琳, 谷延伦, 董秉琪, 陈洁, 崔一民. 基于失巢凋亡相关基因构建膀胱癌预后模型的研究. 中国临床药理学杂志, 2025 , 41 (2) : 240 -244 . DOI: 10.13699/j.cnki.1001-6821.2025.02.018

Lu WANG, Lin CHEN, Yan-lun GU, Bing-qi DONG, Jie CHEN, Yi-min CUI. Construction of a prognostic model for bladder cancer based on loss-of-nest apoptosis-related genes[J]. Chinese Journal of Clinical Pharmacology, 2025 , 41 (2) : 240 -244 . DOI: 10.13699/j.cnki.1001-6821.2025.02.018

参考文献

收起

文献

收起

参考文献引证文献

排序方式：

2025年第41卷第2期

PDF下载

引用本文

BibTeX

文章信息

doi: 10.13699/j.cnki.1001-6821.2025.02.018

接收时间：2024-07-26
首发时间：2026-08-04
出版时间：2025-01-28

补充材料

相关文章

文章信息

作者

出版历史

收稿日期：2024-07-26

基金

作者信息

^1.温州医科大学药学院，浙江温州 325035

^2a.北京大学第一医院，临床药理研究所，北京 100034

^2b.北京大学第一医院，药学部，北京 100034

通讯作者:

崔一民，教授，博士生导师 Tel: （010）82802440 E-mail: cui.pharm@pkufh.com

参考文献

分享链接

https://castjournals.cast.org.cn/joweb/zglcylxzz/CN/10.13699/j.cnki.1001-6821.2025.02.018

分享至

全文二维码

扫描看全文

引用本文

BibTeX

本文的引用情况

2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

关闭全屏

BibTeX
EndNote
RefWorks
TxT