A modified model of PANoptosisto identify prognosis and immunotherapy response in bladder cancer

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-04 DOI:10.1016/j.biocel.2024.106672

Weichao Lv , Xiaohang Lei , Hongyuan Wang , Tongtong Wang , Jianguo Zhang

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Abstract

Background

Cell death, including apoptosis and necrosis, collectively known as widespread apoptosis. The present study aims to investigate the mechanism of action in widespread apoptosis-related modification patterns in bladder cancer.

Methods

Using a clinical genomics database, we obtained transcriptomic data and related clinical information of bladder cancer patients. By employing the least absolute shrinkage analysis, we were able to construct a risk model and single-cell sequencing analysis of differential genes in bladder cancer.

Results

Five differentially expressed genes (TMPRSS4, TPST1, FOXD1, ELOVL4, EMP1) associated with widespread apoptosis were identified as features for predicting the prognosis of bladder cancer patients. Survival curve analysis revealed significant differences in prognosis (P<0.05). Additionally, multivariate Cox regression analysis determined the independent risk factor for bladder cancer prognosis as the risk score (P<0.001), with high confidence in the scoring model validated internally (P<0.001). Single-cell sequencing reveals high expression of CDKN2A, ERBB2, and TMPRSS4 in B cells, while HRAS is significantly expressed in fibroblasts.

Conclusion

PANscore, as a potential prognostic and immunotherapeutic biomarker, will provide more precise and rational basis for personalized treatment strategies

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一种用于鉴别膀胱癌预后和免疫疗法反应的改良泛凋亡模型

背景：细胞死亡包括凋亡和坏死，统称为广泛凋亡。本研究旨在探讨膀胱癌广泛凋亡相关修饰模式的作用机制：方法：利用临床基因组学数据库，我们获得了膀胱癌患者的转录组数据和相关临床信息。方法：利用临床基因组学数据库，我们获得了膀胱癌患者的转录组数据和相关临床信息，通过最小绝对缩减分析，我们构建了一个风险模型，并对膀胱癌中的差异基因进行了单细胞测序分析：结果：五个与广泛凋亡相关的差异表达基因（TMPRSS4、TPST1、FOXD1、ELOVL4、EMP1）被确定为预测膀胱癌患者预后的特征。生存曲线分析显示了预后的显著差异（PConclusion：PANscore作为一种潜在的预后和免疫治疗生物标志物，将为个性化治疗策略提供更精确、更合理的依据。

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