Department of Urology, the First Affiliated Hospital of Bengbu Medical College, No.287, Changhuai Road, Longzihu, Bengbu, 233040, Anhui, China.
BMC Urol. 2023 Oct 16;23(1):167. doi: 10.1186/s12894-023-01331-5.
A variety of apoptosis genes have been confirmed to be related to the occurrence and development of bladder cancer patients, but few studies have paid attention to their significance in the prognosis of bladder cancer. Therefore, this study explored the value of apoptosis-related genes in the prognosis of BLCA by using the data in TCGA database.
We downloaded the mRNA expression profiles and corresponding clinical data of bladder cancer patients from TCGA database, and obtained 2411 apoptosis-related genes from Deathbase database. Screening out differentially expressed apoptosis-related genes. Cox regression was used to determine the prognostic value of apoptosis-related genes, and then a prognostic risk model was developed. A nomogram based on risk model was constructed to predict the prognosis of bladder cancer patients. At the same time, immune infiltration correlation analysis of genes in the prognosis model.
A prognostic model composed of 12 apoptosis-related genes was constructed. According to the risk score calculated by the model, patients were divided into high-risk group and low-risk group. There are significant differences in the expression of immune cells, immune function and immune checkpoint molecules between high-risk group and low-risk group. P4HB may promote bladder cancer progression.
Based on the differential expression of apoptosis-related genes, we established a risk model to predict the prognosis of bladder cancer patients, in which P4HB promotes BLCA progression.
多种凋亡基因已被证实与膀胱癌患者的发生和发展有关,但很少有研究关注它们在膀胱癌预后中的意义。因此,本研究通过 TCGA 数据库中的数据探讨了凋亡相关基因在 BLCA 预后中的价值。
我们从 TCGA 数据库中下载了膀胱癌患者的 mRNA 表达谱和相应的临床数据,并从 Deathbase 数据库中获得了 2411 个凋亡相关基因。筛选出差异表达的凋亡相关基因。使用 Cox 回归确定凋亡相关基因的预后价值,然后构建预后风险模型。基于风险模型构建列线图,以预测膀胱癌患者的预后。同时,对预后模型中基因的免疫浸润相关性进行分析。
构建了一个由 12 个凋亡相关基因组成的预后模型。根据模型计算的风险评分,将患者分为高风险组和低风险组。高低风险组之间免疫细胞、免疫功能和免疫检查点分子的表达存在显著差异。P4HB 可能促进膀胱癌的进展。
基于凋亡相关基因的差异表达,我们建立了一个预测膀胱癌患者预后的风险模型,其中 P4HB 促进 BLCA 的进展。