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Updated: Feb 1, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
A novel comprehensive mucins relevant subtypes predict chemo-responses in colorectal cancer
Xing-Feng He1, Shan-You Tong1, Yan Jiang2
1Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 20032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Background:
Colorectal cancer (CRC) is characterized by aberrant mucin expression, but the full spectrum of mucin profiles and their clinical relevance remain unclear. Here, we developed a novel mucin-based CRC subtyping using multiple datasets to tailor therapeutic strategies.
Methods:
Mucin-related signatures were used to stratify CRC into four novel mucin-based subtypes: metabolism initiated, inflammatory, immune activated, and progressing. Highly accurate predictions were achieved, with under the curve (AUC) values of 0.977 for PC1 and 0.997 for PC2.
Results:
The novel subtypes demonstrated prognostic potential in predicting CRC patient survival outcomes. We identified interactions between mucin-based subtypes and tumor-associated macrophages (TAMs). Mechanistic research revealed that MUC20 overexpression promoted M2 macrophage-dependent tumor glycolysis and hypoxia. Specifically, M2 phenotype TAMs secreted TNF-α, which enhanced tumor glycolysis and upregulated MUC20 expression in cancer cells. This established a MUC20/glycolysis positive feedback loop that exacerbated hypoxia and aerobic glycolysis in CRC. Additionally, chemotherapy responses in patient organoids were highly matched to these subtypes. Patients in cluster 2 were sensitive to 5-Fu or CPT-11 but potentially resistant to routine FOLFOX treatment.
Conclusion:
We identified a novel four mucin-characterized subtypes, which advance precision medicine by refining chemotherapy regimen selection. Our study provides valuable insights for tailoring therapeutic strategies.
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