Copyright
        ©The Author(s) 2023.
    
    
        World J Gastrointest Surg. Oct 27, 2023; 15(10): 2234-2246
Published online Oct 27, 2023. doi: 10.4240/wjgs.v15.i10.2234
Published online Oct 27, 2023. doi: 10.4240/wjgs.v15.i10.2234
            Table 1 Clinicopathological characteristics of the study population (%)
        
    | Variable | Training set (n = 188) | Validation set (n = 70) | P value | 
| Age (yr) | 0.86 | ||
| mean ± SD | 60.4 ± 13.1 | 60.6 ± 13.5 | |
| Median (range) | 61 (18-95) | 61 (20-93) | |
| Sex | 0.91 | ||
| Male | 112 (59.6) | 42 (60) | |
| Female | 76 (40.4) | 28 (40) | |
| Tumor location | 0.97 | ||
| Right colon | 60 (31.9) | 22 (31.4) | |
| Left colon | 60 (31.9) | 23 (32.9) | |
| Rectum | 68 (36.2) | 25 (35.7) | |
| Tumor size (cm) | 0.83 | ||
| mean ± SD | 4.2 ± 2.1 | 4.2 ± 2.0 | |
| Median (range) | 4 (1-15) | 4 (1-12) | |
| Tumor differentiation | 0.99 | ||
| Well/moderate | 162 (86.2) | 60 (85.7) | |
| Poor/undifferentiated/others1 | 26 (13.8) | 10 (14.3) | |
| Tumor invasion depth | 0.98 | ||
| Tis | 3 (1.6) | 1 (1.4) | |
| T1 | 14(7.4) | 5(7.1) | |
| T2 | 32 (17) | 11 (15.7) | |
| T3 | 121 (64.4) | 45 (64.3) | |
| T4a | 15 (8) | 6 (8.6) | |
| T4b | 3 (1.6) | 2 (2.9) | |
| Lymphovascular invasion | 0.95 | ||
| Negative | 147 (78) | 55 (78.6) | |
| Positive | 41 (21.7) | 15 (21.4) | |
| Indeterminate2 | N/A | N/A | |
| Perineural invasion | 0.96 | ||
| Negative | 168 (89.4) | 63 (90) | |
| Positive | 20 (10.3) | 7 (10) | |
| Indeterminate | N/A | N/A | |
| Tumor budding | 0.09 | ||
| Absent3 | 121 (64.3) | 38 (54.3) | |
| Low | 44 (23.7) | 19 (27.1) | |
| High | 23 (12) | 13 (18.6) | |
| LNM status | 0.90 | ||
| Negative | 141 (74.9) | 52 (74.3) | |
| Positive | 47 (25.1) | 18 (25.7) | 
            Table 2 Representative patches of tumor tissue for each of the top 10 clusters
        
    | Cluster | Description | 
| 1 | Poorly differentiated tumor cells with a high nuclear-cytoplasmic ratio, irregular glandular formation, and sparse stroma | 
| 2 | Well-differentiated tumor cells with low nuclear-cytoplasmic ratio, regular glandular formation, and abundant stroma | 
| 3 | Tumor cells with moderate differentiation, moderate nuclear-cytoplasmic ratio, and moderate stroma | 
| 4 | Tumor cells with signet-ring cell differentiation, high nuclear-cytoplasmic ratio, and mucin production | 
| 5 | Tumor cells with neuroendocrine differentiation, high nuclear-cytoplasmic ratio, and rosette-like structures | 
| 6 | Tumor cells with serrated adenocarcinoma differentiation, low nuclear-cytoplasmic ratio, and serrated glandular formation | 
| 7 | Tumor cells with mucinous differentiation, low nuclear-cytoplasmic ratio, and abundant extracellular mucin | 
| 8 | Tumor cells with medullary carcinoma differentiation, high nuclear-cytoplasmic ratio, and solid growth pattern | 
| 9 | Tumor cells with micropapillary carcinoma differentiation, high nuclear-cytoplasmic ratio, and papillary projections | 
| 10 | Tumor cells with mixed adenoneuroendocrine carcinoma differentiation, high nuclear-cytoplasmic ratio, and dual expression of neuroendocrine and epithelial markers | 
            Table 3 Coefficients and odds ratios of the predictors in the final model
        
    | Predictor | Coefficient | Odds ratio | P value | 
| Age (yr) | 0.02 | 1.02 | 0.01a | 
| Tumor location | < 0.001b | ||
| Right colon | Reference | Reference | |
| Left colon | -0.65 | 0.52 | |
| Rectum | -1.04 | 0.35 | |
| Tumor size | 0.17 | 1.19 | < 0.001a | 
| Tumor differentiation | -0.48 | 0.62 | 0.02a | 
| Tumor invasion depth | < 0.001b | ||
| Tis | Reference | Reference | |
| T1 | 1.32 | 3.74 | |
| T2 | 2.12 | 8.34 | |
| T3 | 3.45 | 31.49 | |
| T4a | 4.67 | 106.71 | |
| T4b | 5.89 | 361.23 | |
| Lymphovascular invasion | 1.23 | 3.42 | < 0.001a | 
| Perineural invasion | 1.01 | 2.75 | < 0.001a | 
| Tumor budding | 0.87 | 2.38 | < 0.001a | 
| Frequency of cluster 1 | 0.05 | 1.05 | < 0.001a | 
| Frequency of cluster 2 | -0.04 | 0.96 | 0c | 
| Frequency of cluster 3 | 0.03 | 1.03 | 0.02a | 
| Frequency of cluster 4 | -0.02 | 0.98 | 0.04a | 
| Frequency of cluster 5 | 0.04 | 1.04 | 0.01a | 
| Frequency of cluster 6 | -0.03 | 0.97 | 0.03a | 
| Frequency of cluster 7 | 0.02 | 1.02 | 0.05a | 
| Frequency of cluster 8 | -0.01 | 0.99 | 0.06c | 
| Frequency of cluster 9 | 0.01 | 1.01 | 0.07c | 
| Frequency of cluster 10 | -0.01 | 0.99 | 0c | 
            Table 4 Performance of the risk prediction model and the existing models in the validation set
        
    | Model | NRI | IDI | Brier score | 
| Our model | 0.28 | 0.11 | 0.10 | 
| Kikuchi’s model | -0.04 | -0.03 | 0.17 | 
| Ueno’s model | -0.01 | -0.01 | 0.15 | 
| Krogue’s model | 0.12 | 0.05 | 0.12 | 
            Table 5 Distribution of patients and lymph node metastasis in each risk group in the validation set (%)
        
    | Risk group | Predicted probability of LNM | Number of patients | Number of LNMs | 
| Low risk | < 10 | 27 (38.6) | 1 (5.6) | 
| Intermediate risk | 10-30 | 26 (37.1) | 6 (33.3) | 
| High risk | > 30 | 17 (24.3) | 11 (61.1) | 
- Citation: Lei YP, Song QZ, Liu S, Xie JY, Lv GQ. Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model. World J Gastrointest Surg 2023; 15(10): 2234-2246
- URL: https://www.wjgnet.com/1948-9366/full/v15/i10/2234.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v15.i10.2234

 
         
                         
                 
                 
                 
                 
                 
                         
                         
                        