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