Abstract
BACKGROUND: Mucinous adenocarcinoma (MuC), a colorectal cancer (CRC) subtype, exhibits distinct molecular features and poorer response to chemoradiotherapy than non-mucinous adenocarcinoma (NMuC). Conventional treatments often fail to address CRC heterogeneity, particularly in stage II disease. Therefore, improved biomarkers for risk stratification and personalised treatment are needed. METHODS: We analysed gene expression and mutation data from 259 CRC samples to identify characteristics of MuC. A 23-gene risk score (MuC-RS) was developed and validated across four independent cohorts (n = 1157). Statistical analyses, including generalised linear model likelihood ratio tests, Kaplan-Meier curves, log-rank tests, and Cox regression models, evaluated the prognostic utility of the MuC-RS. RESULTS: MuC showed significant upregulation of fibroblast-associated genes, pathways related to epithelial-mesenchymal transition, and mucin glycosylation. The MuC-RS effectively stratified patients into high-risk (MuC-H) and low-risk (MuC-L) groups, with multivariate analysis confirming its prognostic value (HR = 1.72, 95% CI = 1.31-2.25, P < 0.001). Stage II MuC-L patients had poorer outcomes after conventional chemotherapy, but responded better to immune checkpoint inhibitors (ICIs), linked to higher tumour mutation burden and immune activation. CONCLUSIONS: The MuC-RS effectively predicts recurrence and guides personalised treatment in CRC, particularly benefiting stage II MuC patients through improved risk stratification and treatment selection.