Integrated prognostic assessment of apoptosis and chemotherapy related gene in bladder cancer: a prognostic signature

作者：Keyuan Zhao, Gang Xu, Jing Jin, Chao Peng, Jiajun Chen, Yulei Li, Weihao Wang, Shouhua Pan · 发表于：Discover Oncology · 年份：2025 · DOI：10.1007/s12672-025-02581-5 · 被引用次数：3 · 研究领域：Ferroptosis and cancer prognosis、Bladder and Urothelial Cancer Treatments、Clusterin in disease pathology

BACKGROUND: Bladder cancer (BC), characterized by epithelial heterogeneity, remains a challenging malignancy with limited tissue biomarkers for anticipating neoadjuvant chemotherapy efficacy. Tumor progression, orchestrated by cancer cells, intricately involves the modulation of apoptosis-related pathways. Given their pivotal role in this cascade, apoptosis-related genes emerge as potential determinants of tumor development. Concurrently, the formidable challenge of drug resistance significantly impedes the success of cancer treatments, where a patient's susceptibility to chemotherapy profoundly influences therapeutic outcomes. Consequently, our objective is to develop a prognostic risk model rooted in apoptosis and chemotherapy related gene. This comprehensive approach aims to enhance our ability to predict the prognosis of BC patients and optimize treatment strategies. METHODS: We extracted 412 BC patients and 19 healthy humans RNA-seq samples from the TCGA database and loaded 1416 apoptosis and chemotherapy related genes from the GeneCards website. Subsequently, we established four risk score models for apoptosis and chemotherapy related genes through single-factor, multi-factor, and LASSO regression analysis. Additionally, we conducted analyses on the risk model using methods such as Kaplan-Meier log-rank test, principal component analysis, time-dependent ROC curve analysis, uni-variate analysis, and multivariate Cox regression analysis. We discussed the relationship of t...