ArticleClinical epigenetics2026
Blood DNA methylation-predicted plasma protein levels and colorectal cancer survival.
Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundProtein EpiScores are a novel class of DNA methylation (DNAm)-based metrics proposed to measure peripheral immune system characteristics. Although Protein EpiScores have been associated with chronic disease risk, their relationship with colorectal cancer (CRC) survival has not been investigated.
methodsWe generated new genome-wide DNAm data on pre-treatment whole blood samples from a case-control sample of 136 newly diagnosed CRC patients nested in the ColoCare Study and calculated 107 Protein EpiScores using the developer's algorithm. Over a median follow-up of 7.3 years (range: 0.3-13.8 years), 35 (26%) patients experienced disease recurrence, and 47 (35%) died. Protein EpiScore associations with disease-free and overall survival were tested using Cox regression models, adjusted for patient and clinical characteristics, and prognostic discrimination was assessed using Harrell's C-index.
resultsIn fully-adjusted models, HCII, VEGFA, CCL17, and LGALS3BP Protein EpiScores were associated with worse disease-free survival (HRs between 1.62 and 1.71, all FDR < 0.05). Adding these Protein EpiScores to traditional clinical prognosis risk factors significantly improved disease-free survival prediction (C-index: 0.64 vs 0.70, P-diff= 0.03). The LGALS3BP Protein EpiScore was associated with worse overall survival (HR: 1.80, 95% CI 1.29, 2.51,P = 0.0005, FDR= 0.056), and improved prediction (C-index: 0.70 vs 0.75, P-diff= 0.02). Protein EpiScores for HCII, LGALS3BP, MMP12, and VEGFA showed positive association with both disease-free and overall survival (HRs > 1.5).
conclusionsProtein EpiScores are significantly associated with CRC survival. These findings highlight biological pathways underlying CRC prognosis and support the utility of Protein EpiScores for modeling survivorship.
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