Our study establishes a novel multi-gene diagnostic signature for oxaliplatin resistance through integrative bioinformatics and machine learning approaches. The comprehensive molecular characterization and identification of potential therapeutic candidates provide new insights into resistance mechanisms and clinical management strategies for oxaliplatin-resistant colorectal cancer.
Chen et al. (Thu,) studied this question.