CRHR1 and colorectal carcinoma: Our best-performing model was a three-feature signature containing the methylation levels of CRFR1, the methylation levels of CRFR2 and age via the Classification Random Forests algorithm with an estimated area under the curve (AUC) of 0.929 (0.873, 0.972) and an average precision of 0.983 (0.965, 0.994) to discriminate healthy tissues from CRC.