Supplementary Materials

The PDF file includes:

  • Materials and Methods
  • Fig. S1. List of methylation correlated blocks used for cd-score generation.
  • Fig. S2. ctDNA methylation analysis for predicting tumor burden, staging, and treatment response using a cd-score in patients with CRC.
  • Fig. S3. The diagnosis efficiency of each marker among the nine markers in the diagnostic model.
  • Fig. S4. Patient treatment response monitoring with methylation rate of cg10673833.
  • Fig. S5. Methylation values correlated with treatment outcomes in patients with CRC with serial plasma samples.
  • Fig. S6. Nomogram for predicting overall survival of patients with CRC.
  • Fig. S7. Comparison of subtype markers, diagnosis markers, and prognosis markers.
  • Fig. S8. Unsupervised hierarchical clustering of the top 1000 methylation markers differentially methylated between CRC tumor DNA and normal blood.
  • Table S1. Clinical characteristics of the entire study cohort.
  • Table S2. Clinical characteristics of the screening study cohort.
  • Table S3. Characteristics of the nine methylation markers and their coefficients in diagnosis.
  • Table S4. Characteristics of the five methylation markers and their coefficients in prognosis.
  • Table S5. Multivariable Cox regression analysis with covariates including cp-score, gender, age, tumor location, TNM stage, and CEA for overall survival.
  • Table S6. Characteristics of the 45 methylation markers in ctDNA methylation–based subtyping of CRC.
  • Table S7. Clinicopathological and molecular associations of subtype groups.
  • Table S8. Association between ctDNA methylation–based CRC subtypes and CRC prognosis in both the training and validation sets (the same cohort as the prognosis model analysis).
  • Table S9. Methylation value of cg10673833 in different categories reported by colonoscopy.
  • Table S10. Positive and negative predictive values of ctDNA methylation test.
  • References (4157)

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Other Supplementary Material for this manuscript includes the following:

  • Data file S1 (Microsoft Word format). Questionnaire for screening patients at high risk of CRC.