The epiCED is a noninvasive blood-based assay designed for early detection of colorectal cancer (CRC) using circulating cell-free DNA (cfDNA) 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) epigenetic markers. This study leverages retrospective, multi-center cohorts of CRC patients and non-cancer controls to discover and validate a robust cfDNA methylation signature. Small-scale sequencing and machine learning-based modeling will be applied to identify a minimal panel of methylation markers that can accurately discriminate CRC from non-cancer individuals, including early-stage disease. The ultimate goal is to develop a clinically practical, noninvasive screening tool that enables population-level early detection and improves patient outcomes.
The epiCED is a noninvasive, blood-based approach aimed at early detection of colorectal cancer (CRC) using circulating cell-free DNA (cfDNA) 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) epigenetic markers. Early detection of CRC is critical for improving patient outcomes, but current diagnostic tools-including colonoscopy, CT, and MRI-are either invasive, costly, or insufficiently sensitive for early-stage disease, limiting their use for population-wide screening. This study will utilize retrospective, multi-center cohorts comprising adult participants (≥18 years) with confirmed CRC and non-cancer controls, including healthy volunteers and individuals with benign gastrointestinal conditions. Blood samples will be subjected to cfDNA extraction and small-scale epigenetic sequencing to profile 5mC and 5hmC patterns. During the discovery phase, differential methylation analysis and machine learning-based feature selection will be applied to identify a minimal set of cfDNA methylation markers that optimally discriminate CRC from non-cancer individuals. In the training and validation phase, the identified signature will be evaluated across independent international multi-center cohorts to ensure reproducibility, robustness, and early-stage detection performance. The primary objectives are to: * Develop a cfDNA methylation panel capable of accurately distinguishing CRC patients from non-cancer controls. * Validate the panel's ability to detect early-stage CRC. * Secondary objectives include evaluating the association of the methylation signature with clinical parameters, tumor stage, and demographic factors. By integrating high-resolution cfDNA methylation profiling with advanced computational modeling, epiCED aims to provide a scalable, cost-effective, and clinically practical tool for noninvasive early detection of colorectal cancer.
Study Type
OBSERVATIONAL
Enrollment
500
City of Hope Nat Medical Ctr
Monrovia, California, United States
Sensitivity for detecting colorectal cancer
Proportion of true positive CRC cases correctly identified by the cfDNA methylation panel.
Time frame: Baseline (pre-treatment blood sample collection)
Specificity for detecting colorectal cancer
Proportion of true negative (non-cancer) individuals correctly classified by the cfDNA methylation panel.
Time frame: Frame: Baseline (pre-treatment blood sample collection)
Area Under the Receiver Operating Characteristic Curve (AUROC)
AUROC of the cfDNA methylation panel for distinguishing CRC patients from non-cancer controls.
Time frame: Baseline (pre-treatment blood sample collection)
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