AUTHOR=Huang Jianxu , Zhou Dewang , Luo Weihan , Liu Yujun , Zheng Haoxiang , Wang Yongqiang 

TITLE=Integrating oxidative-stress biomarkers into a precision oncology risk-stratification model for bladder cancer prognosis and therapy

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2024.1453448

DOI=10.3389/fcell.2024.1453448

ISSN=2296-634X

ABSTRACT=Bladder cancer is one of the most prevalent malignant tumors, characterized by its heterogeneous nature. This heterogeneity requires the implementation of a strict, stratified strategy to optimize clinical decision-making processes and enhance patient counseling. In this study, a prognostic model based on oxidative stress-related genes was established for risk stratification in bladder cancer. Firstly, differentially expressed oxidative stress-genes were identified using GEO databases, and functional enrichment and survival analyses were performed on the screened genes. Following this, a risk-scoring model was constructed and evaluated for its efficacy in prognostic prediction, subtyping, and therapeutic responses in bladder cancer, while a predictive model for clinical application was also created. Moreover, samples from two muscle-invasive and two non-muscle-invasive bladder cancer patients were analyzed, and the expression of candidate genes was validated using quantitative real-time PCR (qRT-PCR). This study provided a new risk stratification model that can serve as a reliable reference for prognosis and personalized therapeutic strategies in bladder cancer patients.