PPM-023 - Integrating hypoxia-related gene signatures and machine learning to predict cetuximab resistance in colorectal cancer

• At: Copenhagen (Denmark) (2025)
• Type: Poster
• Poster code: PPM-023
• By: QIU, Xiaoyan (Department of Pharmacy, Huashan Hospital, Fudan University, China)
• Co-author(s): Prof Xiaoyan Qiu (Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China)
  
• Abstract:

  
  Introduction Cetuximab resistance is the major obstacle in the treatment of colorectal cancer (CRC), with hypoxia-related mechanisms playing a critical role. This study aims to identify hypoxia-related genes associated with cetuximab resistance and develop a predictive model to optimize therapeutic strategies for CRC patients.
  Method..

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