CEACAM5 and neoplasm: In the LASSO regression model, 15 potential predictors with non-zero coefficients were selected from 22 features, including age, blood group, initial symptoms, tumor location, perimeter ratio, tumor size, lung metastasis, tumor gross type, pathological type, pathological grade, tumor invasion depth, Dukes’ stage, N-stage, M-stage, and CEA level, which could serve as risk factors for PMCC (Figure 1).