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ORIGINAL RESEARCH article

Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
Volume 12 - 2024 | doi: 10.3389/fcell.2024.1453448
This article is part of the Research Topic Application of Novel Biomarkers and Natural Compounds in Precision Oncology View all articles

Integrating Oxidative-Stress Biomarkers into a Precision Oncology Risk-Stratification Model for Bladder Cancer Prognosis and Therapy

Provisionally accepted
Jianxu Huang Jianxu Huang 1Dewang Zhou Dewang Zhou 2*Luo Weihan Luo Weihan 1Yujun Liu Yujun Liu 3*Haoxiang Zheng Haoxiang Zheng 4Yongqiang Wang Yongqiang Wang 4*
  • 1 College of Medicine, Shantou University, Shantou, China
  • 2 Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, China
  • 3 School of Medicine, Anhui University of Science and Technology, Huainan, China
  • 4 Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, China

The final, formatted version of the article will be published soon.

    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.

    Keywords: Oxidative Stress, Bladder cancer, Prognostic model, risk stratification, Treatment

    Received: 23 Jun 2024; Accepted: 28 Aug 2024.

    Copyright: © 2024 Huang, Zhou, Weihan, Liu, Zheng and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Dewang Zhou, Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, China
    Yujun Liu, School of Medicine, Anhui University of Science and Technology, Huainan, China
    Yongqiang Wang, Department of Experiment & Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.